Perplexity at Work

Prompt: TikTok considers AI ad avatars

Perplexity Response:

TikTok is actively exploring and integrating various AI-driven features and tools to enhance content creation, advertising, and user engagement on its platform. This exploration includes the development and testing of AI-generated avatars, AI-driven content creation tools, and advanced advertising solutions that leverage AI to improve targeting, engagement, and measurement. Here’s a comprehensive overview of TikTok’s considerations and implementations regarding AI ad avatars and related AI features:

AI-Generated Avatars and Content Creation

  • Digital Avatars: TikTok introduced AI-generated Digital Avatars as a new feature for content creation, offering over 100 different avatars with a range of appearances, accents, and languages. These avatars are designed for various uses, including narrating product demonstrations, explainer videos, and gameplay, thereby providing a cost-effective way for businesses and content creators to produce engaging content.
  • AI Avatar Testing: TikTok is testing a new option to let users create AI-generated avatars for their profile pictures. This feature, still in the early stages of testing, aims to put recent advances in AI technology at the forefront for millions of users, potentially enhancing personalization and engagement on the platform.

AI-Driven Advertising Tools

  • Pencil: Pencil offers a service that uses AI to combine branding and products with user-generated content (UGC) to create TikTok ads that blend seamlessly with the platform’s native content. This service emphasizes the importance of standout text and contemporary video effects, following TikTok’s best practices for ad layouts and text use.
  • Promote Tool Enhancements: TikTok has added new targeting and boosting features to its Promote advertising tool, allowing creators and small businesses to more effectively turn their content into ads. These features include driving traffic to TikTok pages or inboxes and expanded audience targeting options.
  • Search Ads and AI Content Label: TikTok has introduced search ads, allowing brands to position their advertisements strategically during user searches, and an AI label to flag videos entirely generated by AI. These initiatives aim to enhance transparency and trust while leveraging AI for advertising and content creation4.

Strategic AI Integration

  • Generative AI Tools: TikTok continues to experiment with generative AI tools, including profile images, improved contextual search, and AI music generation. These efforts are part of TikTok’s broader strategy to integrate AI in ways that drive engagement and offer new creative opportunities for users and advertisers13.
  • Measurement Tools: TikTok has launched new ad performance measurement tools, such as Cross-Channel Partners and Lift Partners, to provide marketers with improved insights into the effectiveness of their campaigns. These tools leverage AI to analyze ad performance across different platforms and measure the impact on brand metrics, sales, and physical store visits14.

TikTok’s exploration and implementation of AI ad avatars and related AI-driven features reflect the platform’s commitment to staying at the forefront of social media innovation. By leveraging AI, TikTok aims to enhance content creation, advertising effectiveness, and user engagement, offering new opportunities for businesses, creators, and advertisers to connect with their audiences in creative and impactful ways.

Outline for a Murder Mystery in the Style of Dorothy Sayers

Perplexity Prompt: Create an outline for a murder mystery in the style of Dorothy Sayers

Perplexity Response:

Setting: The Quaint Village of Little Hampden

  • Little Hampden is a picturesque English village known for its tight-knit community, charming cottages, and a central village green where the annual summer fete is held.
  • The village is surrounded by dense woods and rolling hills, with a small river running through it.
  • The local vicarage, the pub called “The Weeping Willow,” and the village hall are the main social hubs.

Introduction: A Mysterious Death

  • During the village fete, a beloved local artist, Jonathan Eastwood, is found dead in his studio, which overlooks the village green.
  • The death appears to be a suicide, but certain inconsistencies lead to suspicions of foul play.
  • Lord Peter Wimsey, visiting his aunt in Little Hampden, takes an interest in the case.

Key Characters

  • Lord Peter Wimsey: The aristocratic amateur detective with a sharp intellect and a passion for justice.
  • Mervyn Bunter: Wimsey’s loyal valet and assistant, with a keen eye for detail.
  • Reverend Thomas Marple: The well-respected vicar with a love for gardening and a secret past.
  • Eleanor Brampton: The victim’s muse and a talented painter, known for her fiery temper and tumultuous relationship with Eastwood.
  • Dr. Henry Forbes: The village doctor, whose medical opinion on the death raises more questions than answers.
  • Inspector Charles Parker: Wimsey’s friend from Scotland Yard, called in to assist with the investigation.

Red Herrings

  • A mysterious figure seen near the artist’s studio on the night of the murder.
  • A scandalous love letter found in Eastwood’s desk, hinting at a possible affair.
  • A recently altered will that benefits a distant relative.
  • A disgruntled former student of Eastwood’s who had a public falling out with him.

Twists and Turns

  • Evidence that the suicide note was not written by Eastwood.
  • Discovery of a hidden compartment in the studio containing a valuable missing painting.
  • An anonymous tip that leads Wimsey to question the alibis of several villagers.
  • A break-in at the vicarage that uncovers a stash of blackmail letters.

Character Development

  • Wimsey’s empathy and understanding of human nature help him connect with the villagers and gain their trust.
  • Bunter’s military background proves crucial in deciphering a code found among Eastwood’s belongings.
  • Eleanor Brampton’s initial hostility towards Wimsey softens as she becomes an ally in the investigation.
  • Reverend Marple’s struggle with his conscience as secrets from his past come to light.

Clues and Evidence

  • A palette knife smeared with paint and blood, found in the nearby woods.
  • A torn piece of a jacket caught on a bramble that matches the fabric of a local squire’s missing coat.
  • A set of footprints leading away from the studio that suggests the presence of a second person.
  • The discovery of a rare poison in the victim’s system, not readily available to the public.

Conclusion: Unveiling the Murderer

  • Wimsey gathers all suspects for a dramatic reveal in the village hall.
  • He meticulously explains how each piece of evidence fits into the puzzle, exonerating the innocent and cornering the guilty.
  • The murderer is revealed to be someone unexpected, with a motive rooted in a long-held grudge and greed.
  • Wimsey’s clever deduction and attention to human psychology bring the case to a satisfying close.

Epilogue: Aftermath and Reflection

  • The village of Little Hampden returns to its peaceful ways, with the shadow of the murder lifted.
  • Wimsey reflects on the nature of crime and justice, and the impact of the case on the community.
  • Eleanor Brampton dedicates her next painting to Wimsey, capturing the essence of Little Hampden and its resilience.
  • Wimsey and Bunter depart, leaving behind grateful villagers and a sense of order restored.

Based upon his playtime with Perplexity, he thinks the AI might be most useful for this sort of question – an author is stuck for a plot and wants some fresh ideas. PG thinks there might be help for sub-plots, character creation, etc., generated with similar more-focused prompts.

AI v. Hemingway

In his experiments with AI writing programs, PG has discovered a few strengths and weaknesses.

Following are the first few paragraphs of “The Sun Also Rises,” as originally written by Ernest Hemingway:

Robert Cohn was once middleweight boxing champion of Princeton. Do not think that I am very much impressed by that as a boxing title, but it meant a lot to Cohn. He cared nothing for boxing, in fact he disliked it, but he learned it painfully and thoroughly to counteract the feeling of inferiority and shyness he had felt on being treated as a Jew at Princeton. There was a certain inner comfort in knowing he could knock down anybody who was snooty to him, although, being very shy and a thoroughly nice boy, he never fought except in the gym. He was Spider Kelly’s star pupil. Spider Kelly taught all his young gentlemen to box like featherweights, no matter whether they weighed one hundred and five or two hundred and five pounds. But it seemed to fit Cohn. He was really very fast. He was so good that Spider promptly overmatched him and got his nose permanently flattened. This increased Cohn’s distaste for boxing, but it gave him a certain satisfaction of some strange sort, and it certainly improved his nose. In his last year at Princeton he read too much and took to wearing spectacles. I never met any one of his class who remembered him. They did not even remember that he was middleweight boxing champion.

I mistrust all frank and simple people, especially when their stories hold together, and I always had a suspicion that perhaps Robert Cohn had never been middleweight boxing champion, and that perhaps a horse had stepped on his face, or that maybe his mother had been frightened or seen something, or that he had, maybe, bumped into something as a young child, but I finally had somebody verify the story from Spider Kelly. Spider Kelly not only remembered Cohn. He had often wondered what had become of him.

Robert Cohn was a member, through his father, of one of the richest Jewish families in New York, and through his mother of one of the oldest. At the military school where he prepped for Princeton, and played a very good end on the football team, no one had made him race-conscious. No one had ever made him feel he was a Jew, and hence any different from anybody else, until he went to Princeton. He was a nice boy, a friendly boy, and very shy, and it made him bitter. He took it out in boxing, and he came out of Princeton with painful self-consciousness and the flattened nose, and was married by the first girl who was nice to him. He was married five years, had three children, lost most of the fifty thousand dollars his father left him, the balance of the estate having gone to his mother, hardened into a rather unattractive mould under domestic unhappiness with a rich wife; and just when he had made up his mind to leave his wife she left him and went off with a miniature-painter. As he had been thinking for months about leaving his wife and had not done it because it would be too cruel to deprive her of himself, her departure was a very healthful shock.

The divorce was arranged and Robert Cohn went out to the Coast. In California he fell among literary people and, as he still had a little of the fifty thousand left, in a short time he was backing a review of the Arts. The review commenced publication in Carmel, California, and finished in Provincetown, Massachusetts. By that time Cohn, who had been regarded purely as an angel, and whose name had appeared on the editorial page merely as a member of the advisory board, had become the sole editor. It was his money and he discovered he liked the authority of editing. He was sorry when the magazine became too expensive and he had to give it up.

By that time, though, he had other things to worry about. He had been taken in hand by a lady who hoped to rise with the magazine. She was very forceful, and Cohn never had a chance of not being taken in hand. Also he was sure that he loved her. When this lady saw that the magazine was not going to rise, she became a little disgusted with Cohn and decided that she might as well get what there was to get while there was still something available, so she urged that they go to Europe, where Cohn could write. They came to Europe, where the lady had been educated, and stayed three years. During these three years, the first spent in travel, the last two in Paris, Robert Cohn had two friends, Braddocks and myself. Braddocks was his literary friend. I was his tennis friend.

The lady who had him, her name was Frances, found toward the end of the second year that her looks were going, and her attitude toward Robert changed from one of careless possession and exploitation to the absolute determination that he should marry her. During this time Robert’s mother had settled an allowance on him, about three hundred dollars a month. During two years and a half I do not believe that Robert Cohn looked at another woman. He was fairly happy, except that, like many people living in Europe, he would rather have been in America, and he had discovered writing. He wrote a novel, and it was not really such a bad novel as the critics later called it, although it was a very poor novel. He read many books, played bridge, played tennis, and boxed at a local gymnasium.

And here is what PG’s current most interesting writing AI, Perplexity, generated:

Certainly! Here is a creative rewriting of the first few paragraphs of “The Sun Also Rises” in the style of Ernest Hemingway: 

Robert Cohn was once middleweight boxing champion of Princeton. Do not think that I am very much impressed by that as a boxing title, but it meant a lot to Cohn. He cared nothing for boxing, in fact he disliked it, but he learned it painfully and thoroughly to counteract the feeling of inferiority and shyness he had felt on being treated as a Jew at Princeton. There was a certain inner comfort in knowing he could knock down anybody who was snooty to him, although, being very shy and a thoroughly nice boy, he never fought except in the gym.

He was Spider Kelly’s star pupil. Spider Kelly taught all his young gentlemen to box like featherweights, no matter whether they weighed one hundred and five or two hundred and five pounds. But it seemed to fit Cohn. He was really very fast. He was so good that Spider promptly overmatched him and got his nose permanently flattened. This increased Cohn’s distaste for boxing, but it gave him a certain satisfaction of some strange sort, and it certainly improved his nose.

In his last year at Princeton he read too much and took to wearing spectacles. I never met any one of his class who remembered him. They did not even remember that he was middleweight boxing champion.

I mistrust all frank and simple people, especially when their stories hold together, and I always had a suspicion that perhaps Robert Cohn had never been middleweight boxing champion, and that perhaps a horse had stepped on his face, or that maybe his mother had been frightened or seen something, or that he had, maybe, bumped into something as a young child, but I checked on all the stories I heard about Cohn, and found out that they were true. This passage maintains Hemingway’s characteristic terse prose, simple and direct language, and understated tone. It also reflects Hemingway’s focus on themes of masculinity and the effects of societal pressures on the individual.

Perplexity has a “Tell Me More” option at the end of its responses (at least in the paid version). PG hit the “Tell Me More” button and here’s what Perplexity provided:

Continuing in the style of Ernest Hemingway, the narrative would likely proceed with a focus on the disillusionment and existential themes that are prevalent in his works. Here’s an extension of the rewritten passage, maintaining the Hemingway style: After Princeton, Cohn was lost. Like many of us, the war had changed him. It wasn’t just the physical scars, those were easy to hide. It was something deeper, a sort of emptiness that came with seeing too much and understanding too little. He wandered through Europe, searching for something he couldn’t name. It was in Paris that he found Frances, and for a while, it seemed as though he might have found what he was looking for. But happiness, like a shadow, is elusive when chased.

Paris was a city that promised much but held back even more. It was filled with expatriates like us, all running from something, all trying to write the next great novel, paint the next masterpiece, or simply forget the past. The cafes of Montparnasse were our battlegrounds, where we fought against our own disillusionment with words and wit as our weapons.

Cohn wrote a novel during those years. It wasn’t particularly good, nor was it bad. It simply was. Like so much of life, it existed in that gray area between success and failure. Frances encouraged him, perhaps more out of a desire to secure her own future than any belief in his literary talents. But in the end, it didn’t matter. The book was published, and Cohn found himself a minor celebrity among the expatriate community.

Yet, fame, Cohn discovered, was as empty as everything else. He began to realize that the problem wasn’t with Paris, or his novel, or Frances. The problem was with him. He had been searching for meaning in a world that seemed determined to withhold it. And in that search, he had lost himself.

It was around this time that I met him. He was a man out of step with the world, clinging to the belief that somewhere, somehow, there was something real, something true. I couldn’t help but admire him for that, even as I pitied him. For in the end, we were all lost, all searching, all hoping for the sun to rise on a new day that would bring with it some semblance of meaning. This continuation captures the essence of Hemingway’s themes: the search for meaning in a post-war world, the disillusionment with the “Lost Generation,” and the personal struggles of his characters as they navigate their lives. Hemingway’s writing often explored the complexities of human emotions and relationships against the backdrop of a world that seemed indifferent to individual suffering, and this narrative aims to reflect those elements.

End of Perplexity Rewrite

PG says Papa doesn’t have anything to worry about.

Postscript:

During his web-wandering in connection with this post, PG discovered something else of interest:

The Unpublished Opening of The Sun Also Rises
by Ernest Hemingway
Also includes:
Letter to Ernest Hemingway on The Sun Also Rises
by F. Scott Fitzgerald

This was published in a now-defunct periodical titled Antæus No. 33, Spring 1979, edited by Daniel Halpern. You can read this Unpublished Opening/Fitzgerald Critique article Here.

If you don’t have a copy, you can read The Sun Also Rises, with the opening Hemingway used after seeing Fitzgerald’s letter Here.

How Anthropic found a trick to get AI to give you answers it’s not supposed to

From TechCrunch:

If you build it, people will try to break it. Sometimes even the people building stuff are the ones breaking it. Such is the case with Anthropic and its latest research which demonstrates an interesting vulnerability in current LLM technology. More or less if you keep at a question, you can break guardrails and wind up with large language models telling you stuff that they are designed not to. Like how to build a bomb.

Of course given progress in open-source AI technology, you can spin up your own LLM locally and just ask it whatever you want, but for more consumer-grade stuff this is an issue worth pondering. What’s fun about AI today is the quick pace it is advancing, and how well — or not — we’re doing as a species to better understand what we’re building.

If you’ll allow me the thought, I wonder if we’re going to see more questions and issues of the type that Anthropic outlines as LLMs and other new AI model types get smarter, and larger. Which is perhaps repeating myself. But the closer we get to more generalized AI intelligence, the more it should resemble a thinking entity, and not a computer that we can program, right? If so, we might have a harder time nailing down edge cases to the point when that work becomes unfeasible?

Link to the rest at TechCrunch

Generative A.I. For Writers: An Unfolding (But Not Inevitable) Nightmare!

From Chuck Wendig:

I have seen the sentiment around that generative AI for writers and artists is “inevitable,” which is a message that I think falls right in line with the myth of the starving artist — meaning, they’re two bits of pervasive folklore put forth by the Powers That Be, because it rewards and enriches those powers. To put a finer point on it, it’s ****ing capitalism. It’s capitalist propaganda bellowed from the deepest, most cankerous cave of moneyed interests, because if they say it enough times and make it true, then they make more money because we make less money, the end.

Just the same, I’ve seen some actual writers and actual artists start to… really take this to heart. They are taking on the inevitability of Gen AI sure as a broken-hulled boat takes on water — but that boat doesn’t have to sink, and nor does AI have to be inevitable. I do think it is inevitable that Moneyed Interests will continue to push AI as a catch-all solution to problems that don’t exist, and they won’t just let that bone go — but I do think, just like crypto and NFTs and what-have-you, that the actual value of Gen AI and the inclusion of Gen AI is far, far from confirmed prophecy.

So, this is a post talking about what we are, I anticipate, likely to see regarding artificial intelligence and both our writing lives and our writing careers. Note: none of this is good, but again, none of this needs to be inevitable, either, and I feel like blah blah blah, forewarned is forearmed.

Real quick, a quick sum-up of where we’re at with Gen AI in art and writing (and arguably music and game design and pretty much everything else):

a) It is built entirely on stolen work, colonizing the efforts of human creators, milling everything into artbarf and content slurry — and it is worth reminding too that it is not the AI that has stolen our work but rather, the creators of the AI who literally directed their artbarf robots to build themselves out of pilfered material.

b) It is environmentally damaging, increasingly so, guzzling water like a man in the desert and contributing overmuch to carbon emissions — see this article here, from Yale. Immigrants crossing borders are dying of thirst, but meanwhile, we’re feeding a half-a-liter of water to the machines just to ask it a couple-few dozen questions (which it will probably get wrong).

c) It continues to chew at the beams and struts of our information fidelity, and in those holes and in the inevitable collapse, mis- and disinformation will flourish like an invasive species.

With those three things in mind, it is fair to say, I think, that use of AI in writing and in the arts is unethical at present until the problems of stolen material, environmental damage and information erosion are addressed and solved. There’s a fourth thing, one that arguably is too true of everything we touch, which is that Gen AI exists largely to make Rich People Richer, and does nothing for everyone further down the ladder. (This is a much harder problem to solve because, well, welcome to the water in which we swim.) It serves companies. It does not serve people. It doesn’t help writers or artists or the audience. It’s there to make stuff fast, cheap, easy.

And, to opine a bit here, even outside the ethics of this, I also think use of Gen AI in this way is supremely lazy and completely betrays the entire point of making art and telling stories in the first ****ing place. It’s not helping us make the work better and get paid more. It’s relegating art and writing to a hobby only, while simpering incel chimps press buttons and get their rocks off by having the AI make images and stories of whatever mediocre garbage is passing through their minds at any given moment.

But, but, but —

Again, I don’t think this is inevitable.

Here I’m really going to switch gears and talk more explicitly about Gen AI in writing, and the problems it presents beyond the lack of ethics and the fact it’s really just there for lazy people who actually like the idea of writing more than they actually want to write. (Ironically, some people want to be a writer without doing work, but AI doesn’t fix that for them — they’re still not writing jack s****, they’re just zapping the Fancy Autocorrect Robot and making it s*** it out words for them. The software is the writer, not them.)

So, for me there are two key problems with Gen AI in writing —

1) It sucks.

It really just sucks. It’s not good. It can make the shape of the thing you want it to write (article, story, blog post, review) but then it fills it with half-assed hallucinations. Gen AI isn’t here to get things right, it’s here to make things look right, which is a very different thing. AI is vibes only. You don’t get an article — you get an article-shaped thing that’s just a really, really advanced version of Lorem Ipsum.

Gen AI isn’t true artificial intelligence. It isn’t “thinking” per se about input and output. It’s just barfing up the raw-throated bile of effervescent copypasta. It’s just a program tapping the predictive words button. And it knows to do this because, again, it’s stolen a whole lot of material to feed to its Judas Engine. So what it’s outputting is a broth steeped from tens of thousands of illicitly-yoinked human-created pieces of writing.

It also isn’t good at sustaining anything with continuity. Continuity is really important for writing — in an article, in an essay, and especially in longer-form material. When we talk about Chekhov’s Gun, that’s a shorthand that means the pieces of narrative information we use early are just the start of the trail of breadcrumbs that will carry us through the story. The gun appears early and must be used later — but that’s true of so much inside our work. We introduce things that are important, that have continuity throughout the work, that appear again and again and form a kind of constellation of narrative information — and that information comes in the form of themes, motifs, motivations, descriptions, tension-building plot points, and so on. AI has literally no understanding of that. Because it doesn’t understand anything. It just sees a pile of stuff and attempts to ape the shape and colors of that stuff. Gen AI artbarf can show you a house in image, but it has no idea what building a house means, it doesn’t know what’s behind the walls or how bricks are laid or how ****ing molecules and atoms form together to make everything — it just horks up the architectural hairball on command, like a cat with the Clapper in its stomach.

CLAP CLAP GIVE ME A VICTORIAN MANSE MADE OF CANDY HA HA LOOK MOTHER, LOOK, THE GOOD KITTY VOMITED FOR ME A CANDY HOUSE, I MADE ART, I AM AN ARTIST, MOTHER, PRAISE ME

Anyway. What I’m saying is–

AI doesn’t know s*** and can’t sustain s***.

And here the retort is often, “Well, sure, but this is what it can do now, imagine what it can do in a year or two.” And that mayyyyy be true, but I have a gut feeling that — particularly when it comes to writing — it has some very hard limits. It can never really go beyond the fact it is Fancy Autocorrect. Because it does not truly think, it will always be janky. It will never sustain information for long. It will always lie. It may be able to fake shorter pieces, but I also think that, like humans spotting Terminators, we will develop a keen eye to be able to spot this bulls*** with an increasingly refined Uncanny Valley detector in our guts.

2) The second problem is that it can’t be copyrighted. That’s a real problem, a true vulnerability, though one that hasn’t been entirely tested legally, yet — what if you push the AI-Do-My-Work-I-Suck-And-Am-Lazy button and it spits out a 5,000-word short story but then you change like, every 100th word? What does that mean for its copyrightability? I don’t know because I am a stupid person and not a lawyer, but I do suspect that it remains a very real weak spot in its defenses.

Link to the rest at Chuck Wendig

PG notes that, although he disagrees with Chuck about a variety of contentions in the OP, nobody ever doubts what Chuck’s opinion is about a great many things.

10 Best AI Story Generators (March 2024)

From Unite.AI:

AI story generators are powerful tools that can create plots, characters, and complete stories based on small text prompts. These AI-powered software applications offer writers an innovative way to overcome writer’s block and find inspiration for their work.

Here are some of the top AI story generators on the market.

1. Sudowrite

Sudowrite is an AI-powered writing assistant designed to help authors break free from writer’s block and elevate their storytelling. By providing a simple text prompt, users can generate ideas, characters, and plotlines to enrich their stories. Sudowrite offers a user-friendly interface, making it accessible for writers of all experience levels. This AI tool is designed to improve the writing process, enabling users to create more engaging and original content. Its intelligent suggestions can help writers craft better stories and push their creative boundaries.

In addition to generating ideas, Sudowrite can also help authors refine their writing by providing alternative phrasings, synonyms, and sentence structures. The platform can also recognize and suggest improvements for clichés and overused expressions, helping writers create fresh and unique content. Sudowrite offers seamless integration with popular writing software like Google Docs, Scrivener, and Microsoft Word, making it a convenient tool for writers to use in their daily workflow.

Top features of Sudowrite:

  • Advanced AI engine for story generation
  • Real-time suggestions for plot, characters, and dialogues
  • User-friendly interface and experience
  • Easy integration with popular writing software
  • Alternative phrasings, synonyms, and sentence structures
  • Recognizes and suggests improvements for clichés and overused expressions

Read our Sudowrite Review or visit Sudowrite.

2. Jasper

https://youtu.be/6JTBoPhjqKg

Meet Jasper, your AI assistant 👋 Write amazing content 10X faster with the #1 AI Content Platform

Jasper is an AI writing assistant that can generate story ideas, write entire stories, or expand on existing drafts. With a focus on natural language generation, Jasper helps writers create engaging, coherent, and original content. Its advanced algorithms analyze user-provided prompts and generate stories that capture the essence of the input while maintaining a natural and captivating flow. Jasper is versatile and can be used for various writing projects, from short stories and novels to blog posts and articles.

Beyond story generation, Jasper also offers additional tools and features to help writers optimize their content. For example, it can analyze text and provide insights on readability, SEO optimization, and grammar, helping authors improve the overall quality of their work. Jasper’s user-friendly interface makes it easy to customize generated content, allowing writers to control the tone, style, and complexity of their stories. With its powerful AI engine and versatile features, Jasper is an invaluable tool for writers looking to elevate their craft.

Top features of Jasper:

  • AI-driven natural language generation
  • Versatile writing assistant for various projects
  • In-depth customization options for generated content
  • User-friendly interface and easy setup
  • Readability, SEO optimization, and grammar insights
  • Customizable tone, style, and complexity

Read our Jasper Review or visit Jasper.

3. Plot Factory

Plot Factory is an online story generator and writing platform that allows users to create, organize, and store their stories in one place. Its AI-powered story generator helps writers develop new ideas, characters, and plotlines by providing them with creative suggestions based on their prompts. In addition to its AI capabilities, Plot Factory also offers a suite of tools for organizing, outlining, and world-building, making it a comprehensive solution for writers.

Top features of Plot Factory:

  • AI-powered story generation
  • Comprehensive writing platform with organizational tools
  • World-building and outlining capabilities
  • Cloud-based storage and collaboration features

4. Writesonic

Writesonic uses advanced AI to help writers craft engaging and original stories. It takes user prompts and turns them into comprehensive stories, making it a valuable tool for authors seeking inspiration or trying to overcome writer’s block.

Writesonic also offers a suite of writing tools, including a blog post outline generator and a landing page copy generator, demonstrating its versatility beyond just story generation.

Top features of Writesonic:

  • Advanced AI engine for generating comprehensive stories from prompts
  • A suite of writing tools for different writing needs

Link to the rest at Unite.AI

As PG has mentioned before, he’s interested in the experiences indie authors have had with various AI writing assistants. Click the Contact PG link toward the top of the blog.

Resistance is Futile

From studiomcah:

Yes, it’s true: after much gnashing of teeth and a token resistance to the inevitable, I decided it was time to do serious experimentation with AI, especially after hearing multiple reports, all good, about Anthropic’s Claude. To be clear, I continue to think the legal repercussions of the training of AI models on unlicensed intellectual property (whether that’s visual art, fiction or nonfiction, music, etc) need to be hashed out… and we need to decide now who owns a person’s voice, face, and personality to protect against the use of deepfakes to defame people or defraud their loved ones.

            None of that, however, changes that Artificial General Intelligence (AGI) and LLMs (Large Language Models) are not going anywhere, and are already changing things. I would rather not be drowned by the tidal wave of revolution, so for once I’m trying to surf the initial waves. “What can AI possibly do for me, if I don’t want it to write my books or draw my pictures?” I wondered, and my loved ones said, “Why don’t you find out instead of guessing?” (I am surrounded by smart people.)

            This ended up being a perfect time to experiment because (by accident!) I had a problem that needed solving: I want to set up a sales website so people can shop from me directly instead of buying from Etsy or Bandcamp or Amazon. I’d just read a book that broke down the tiers of products you want to offer, from freebies to lure in new readers, all the way to premium purchases that will only be attractive to superfans. Since my book catalog alone is over 70 titles, brainstorming what things to put in what categories sounded less like fun and more like shoveling the Augean stables. I had just signed up for Claude, so I figured: why not see if it can figure these things out for me?

            Its initial suggestions were generic based on the information I gave it—that I was an author, of 70 books, mostly science fiction, but some fantasy, children’s, romance, and nonfiction. I was also a painter. I was intrigued by the fact that it knew that ebooks made good low tier products based on price, and that premium offerings should involve autographs, special editions, or bundling with themed art or merchandise… but it was too non-specific for me.

            Which is when I fell down the rabbit hole. I discovered I could feed it my list of published works. Then my book catalog with all the covers and descriptions and tags. I gave it all-time sales data from my retailers… and then bandcamp… and then etsy… and then all my kickstarter data. I even gave it website traffic information, patreon and locals stats, and social media follower counts. With every file I fed it, I asked it to refine its ideas on how I should be positioning, bundling, and marketing my products. I asked it what underperforming books might be promising if presented to some new audience. I even asked it to find recurring themes across all my books and use that information to create marketing copy for new readers.

            Every so often I’d stop to ask it ancillary business questions, like “My large backlist can be intimidating to new readers. How do I attract them despite that?” or “I write in diverse genres, which makes my work difficult to market. How can my broad writing range be used as a strength, instead of a weakness, and how can I make new readers interested in all my offerings?” And it continued to give me sensible ideas, many of which I had already thought of, along with a few I hadn’t.

            Already I had to stop and marvel at how bizarre it was that a computer was just spouting off all this stuff in response to questions. Where does it get these answers? How does it construct them? How does it know what words mean?? It is completely inscrutable, but the interaction feels so normal that you keep going. So I did.

            By the end of that conversation, Claude knew not only which of my books and settings were bestsellers, it gave me excellent guesses on which of my themes or tropes were doing best in the market, and had used that information to craft a set of offerings for my (as yet unrealized) shop that would not only attract people with the tried-and-true series, like Dreamhealers and Her Instruments, but also tempt people with the promising but underselling ones, like Thief of Songs. “Narrow that down to ten initial offerings,” I told it, “because I want to launch my store with a limited number of items to get my feet wet.” Which it did, and they were all reasonable ideas. And I went to sleep (or tried), feeling like I’d completely underestimated the utility of LLMs. I had started the day with a tedious task I hadn’t wanted to do that required knowledge of my entire product catalog and how my art and writing interacted over the 25+ years I’d been making things, and Claude had learned enough to do it for me.

Link to the rest at studiomcah

Studiomicah is the home of author M.C.A. Hogarth, whom PG met a very long time ago. (Maggie was probably a child at the time.)

She writes science fiction, fantasy, and anthropomorphic animal genres and struck PG as a very nice woman. He expects she hasn’t changed.

Here’s a link to Maggie’s books on Amazon. If you like to read books written by nice people, check out Maggie’s work. If you would like to read books by nice people who are talented authors, Maggie will deliver you a twofer.

Federal Court Suspends Florida Attorney Over Filing Fabricated Cases Hallucinated by AI

From LawNext:

Just a few weeks ago, I wrote about two more cases of AI-hallucinated citations in court filings leading to sanctions, and now comes the case of a Florida lawyer suspended from practice after filing cases that were “completely fabricated.”

On March 8, the U.S. District Court for the Middle District of Florida suspended attorney Thomas Grant Neusom from practicing in that court for one year, after which he will be eligible to apply for reinstatement.

In ordering the suspension, the court adopted the report and recommendation of its grievance committee, which issued a report in January finding that Neusom violated rules of the court and Florida’s Rules of Professional Conduct through a series of actions, including having filed pleadings that contained frivolous legal arguments based on fabricated cases.

The matter was brought to the attention of the disciplinary committee after Neusom’s opposing counsel, Nabil Joseph, was unable to find the cases and asked Neusom to furnish text versions. Neusom “provided non-responsive and evasive answers to the request for the cited authorities,” according to the committee.

When the committee asked Neusom about the pleadings during a telephone interview, he said that “he used Westlaw and Fastcase and may have used artificial intelligence to draft the filing(s) but was not able to check the excerpts and citations.” In a subsequent written response, he failed to offer any explanation for the fabricated cases “or provide any sense of understanding of the seriousness of the situation.”

Based on this, the committee found that Neusom had not only failed to exercise the reasonable due diligence required of an attorney, but that his conduct went “beyond a lack of due diligence as some of his legal authorities were completely fabricated.”

Link to the rest at LawNext

PG’s immediate response was that the penalty was not severe enough. He would have added a sizeable fine on top of the suspension.

PG wouldn’t be surprised if the attorney’s malpractice carrier had voided his policy, based on intentional idiocy.

Microsoft Reading Coach is now available as a stand-alone app for schools

From Neowin:

In March 2022, Microsoft first introduced Reading Coach as an app available in Microsoft Teams. The app became available later for individual users outside the classroom. Today, the company has announced that Reading Coach is now available as its own Windows stand-alone app, or via its website at coach.microsoft.com, specifically for school use.

In a blog post, Microsoft says that schools that want to access the new stand-alone app can access it with a Microsoft Entra ID. School admins must enable support for Reading Coach via a signup page.

. . . .

Microsoft stated the apps will help students with their reading skills in a number of ways. The biggest feature is the app’s ability to create a unique story via AI for each student. The company said:

Create a story puts the story in reader’s hands by giving them the choice of a character, setting and reading level to create a unique AI generated story each time.

The blog post adds that the AI stories follow Microsoft’s AI guidelines, and are moderated for the story’s content quality and safety, along with setting up stories for specific age groups.

The app also lets students read from previously written content from its library. Teachers can also add their own story content as well.

Reading Coach lets students read stories out loud. The app’s speech recognition technology, combined with AI features, allows it to analyze how students read, and detect if they find specific words hard to read. After each session, the app shows an overall score and can also generate word practice sessions with those challenging words.

Link to the rest at Neowin and thanks to F. for the tip

Artificial Intelligence and the Business of Writing

From Writer Unboxed:

A few weeks ago, my publisher put up a post on the company’s private Facebook page. The small press had received a manuscript submission that seemed unusual compared to the hundreds of others they sort through each week. Although the manuscript was remarkably tidy in terms of compliance with grammar and style, the author’s word choices were odd in places, almost but not quite appropriate for their context. Much of the characters’ dialogue lacked emotion. Even the query letter that accompanied the submission felt somewhat strained.

On a hunch, the acquisitions editor ran a portion of the manuscript through an AI content detector and discovered that the book had been produced by an AI writing assistant. After Googling the name of the “author,” it was discovered that this person had already published a handful AI-generated novels, most of which were available for purchase on Amazon. As far as anyone could tell, none of the books’ listings disclosed that they had not been written by the person whose name appeared on their covers but had instead been created by a computer.

Several days later, I came across a post on the page of a Facebook writers’ group. The poster, who works for a children’s book publisher, was lamenting that many of the submissions they had recently received had been AI-generated. “Now is a great time to submit your book ideas to us,” she wrote. “We’re looking for stories written by real people.”

These posts and others like them have launched lengthy discussions among authors, writers, and editors and have raised a lot of questions about AI and the future of writing and publishing.

Currently, there is no definitive answer as to who owns the rights to AI generated content. Whether it will be the person who came up with the idea for a book or story or the owner or developer of the AI technology used to turn that idea into content still remains to be seen.

At this time, there is also no requirement that publishers disclose whether a book or other type of written material offered for sale to the public was generated by AI. Whether consumers have a right to this information has also yet to be decided.

Surprisingly, there is also no real consensus about whether putting one’s name on a piece of AI-generated writing and claiming to be its sole author is plagiarism.

Perhaps most important are the financial considerations regarding AI-generated content. Could or should an author using AI for any purpose (content generation, editing, proof reading, etc.) ever be obligated to share royalties with the owner or developer of the AI service they chose to use? If an AI-generated book or story were made into a film or other subsidiary content, who should be able to profit from it?

Link to the rest at Writer Unboxed

10 AI Writing Tools Everyone Should Know About

From Intuit Mailchimp:

What are AI writing tools?

AI writing software includes various tools that can create content for you. AI writing tools make content based on user input. You can use these tools to create articles, product descriptions, landing pages, blog posts, and more.

However, AI software is not meant to take over the need for human writers completely. Instead, it’s just supposed to be a way to optimize productivity and make your life easier, especially if you’re creating a high volume of content. So rather than having to go in and write everything by hand, AI writing software can do some of it for you.

. . . .

10 best AI writing tools to use

There are various AI writing tools that you can use to increase productivity for your business. But the right AI writing tool for your company depends on your specific wants and needs. Different AI writing tools serve different purposes, so make sure you choose one that is best for your company. Here are some of the best AI writing tools that we recommend:

Writesonic

Writesonic is an AI content tool that can help with the content creation process. With Writesonic, you can use artificial intelligence to generate everything from blog posts and landing pages to Facebook ad copy.

Writesonic is especially beneficial for those dealing with writer’s block. It has over 60 AI writing tools that can help you brainstorm ideas and actually generate content for you.

INK Editor

INK Editor is best for co-writing and optimizing SEO. Consistency is key with writing, and with this AI writing tool, you can ensure that your content will consistently rank high on search engines. This will help to generate traffic to your company’s website and lead to more sales.

INK Editor also provides suggestions on how to improve your SEO score while you’re writing. So if your business goal is to create high-performing content that ranks high on search engines, INK Editor is for you. You can also get a free trial of INK Editor, or upgrade to a paid version to access more features.

Anyword

Anyword is a copywriting AI software that benefits marketing and sales teams. Some AI copywriting tools create content that sounds like a robot wrote them, but with Anyword, it will always sound like a human wrote it.

If you don’t have the time or resources to produce content for your business, Anyword can help to streamline your writing process by creating high-quality content. You can create blog posts, ads, articles, and more that you can use across various marketing channels.

Jasper

Jasper is a great AI writing tool if you want to create high-quality content at a quick speed. It offers over 50 templates and supports over 25 languages, so you can tailor the tools to suit your business’s specific needs.

With Jasper, you can create personalized AI-generated content to reach your target audience. Jasper will also assist with catching grammar mistakes to ensure you’re delivering the best work possible.

Wordtune

If you need an AI writing tool that can help with grammar and writing, Wordtune is for you. Not only does Wordtune help with catching grammar mistakes, but it also goes a step further and assists with writing compelling and engaging content.

Wordtune ensures the readability of content, so it always sounds like it came from human writers and not AI software. It’s also completely cloud-based, features a thesaurus with real-time suggestions, and can easily be integrated with social media platforms and other business tools.

Grammarly

If there’s one AI writing tool you’ve heard of, it’s probably Grammarly. Grammarly is often used throughout schools and businesses, and for a good reason. With Grammarly, you can rest assured that your work will be error-free and grammatically correct.

Grammarly does everything from spell check to grammar to ensure you always deliver the best work possible. It also features a plagiarism tool, ensuring you’re only working with original content.

. . . .

Hyperwrite

Hyperwrite uses advanced natural language processing technology to create original content for your brand.

Whether you need help writing articles, blog posts, landing pages, or a combination of the three, Hyperwrite generates high-quality content quickly. There is a free version of Hyperwrite, but you can also pay to upgrade and get even more features.

Lightkey

Have you ever wanted an AI writing assistant who can finish your sentences for you? If so, consider using Lightkey. Lightkey is an AI typing assistant that can predict your sentences up to 18 words in advance.

Think about how much faster you could type if you had an AI writing tool that could literally finish your sentences.

Copyal

If you’re struggling with writer’s block, Copyal will be your new best friend. This AI writing assistant can help you beat that mental block so you can deliver quality content faster than ever before.

Copyal is also compatible with over 25 languages, so you can produce content that works for your target audience. There is a free version of Copyal, as well as paid versions, which you can access depending on your business’s needs.

Lyne.ai

If you write a lot of cold emails, Lyne.ai can transform the way you work. This AI writing tool can write over 500 intros per hour, significantly increasing the number of emails you send. The more emails you send, the more response rates you’ll get, so you’ll see an instant increase in sales for your business.

Link to the rest at Intuit Mailchimp

Georgia college student used Grammarly, now she is on academic probation

From Yahoo News:

A University of North Georgia (UNG) student is on academic probation after she says she used Grammarly to proofread a paper. The school says the action was taken because they detected the use of artificial intelligence in violation of their plagiarism clause in the student code of conduct handbook.

“It’s just been very frustrating,” UNG junior Marley Stevens said.

Stevens, after submitting a paper for her criminal justice class in October, says she was surprised to learn her professor gave her a “0” for the assignment and reported her to the Office of Student Integrity.

“He was like you used AI on your paper, you get a zero, that was it,” Stevens said.

“I had Grammarly installed in my web browser, but I’ve only ever had the free version, so all it did was fix my punctuation and my spelling,” she added.

. . . .

She submitted the paper through the program Turnitin, which flagged it for the use of AI.

Turnitin launched an AI writing detection feature in March 2023 to find when AI writing tools generate words used in submissions rather than the students’ own writing.

Earlier this month, Stevens learned she’d been placed on academic probation.

Grammarly says its suggestions for grammar and spelling changes aren’t made through generative AI, which is an algorithm which can create new content on its own.

Grammarly sent FOX 5 a statement reading in part:

“Grammarly’s trusted writing support helps students improve their writing skills by offering suggestions for spelling, grammatical correctness, clarity, concision, and tone. These suggestions are not powered by generative AI and can still be accessed even when generative AI features are deactivated or not used by the student. However, some third-party tools may mistakenly identify any use of Grammarly as generative AI. We encourage institutions to establish clear policies on acceptable AI usage and adhere to those guidelines when assessing student success.”

Stevens said she’s used Grammarly on other assignments before without problems.

“I had teachers before who made us install it and turn a screenshot in that we had done so-and-so I’ve written my papers the same exact way all through college in a Google Doc with my Grammarly extension. I’ve never had any problems,” she explained.

. . . .

Regarding its AI policies, the University of North Georgia issued a statement reading in part:

“Our faculty members communicate specific guidelines regarding the use of AI for various classes, and those guidelines are included in the class syllabi. The inappropriate use of AI is also addressed in our Student Code of Conduct.”

Stevens took to TikTok to share her story, which has millions of views.

Stevens’ academic probation currently lasts until February 2025.

Link to the rest at Yahoo News and thanks to F. for the tip.

PG wonders if the professor in the OP actually read the paper in question or simply relied on one computer program accurately detecting the use of another computer program.

Guidance on AI Detection and Why We’re Disabling Turnitin’s AI Detector

From Vanderbilt University:

In April of this year, Turnitin released an update to their product that reviewed submitted papers and presented their determination of how much of a paper was written by AI. As we outlined at that time, many people had important concerns and questions about this new tool, namely how the product exactly works and how reliable the results would be. After several months of using and testing this tool, meeting with Turnitin and other AI leaders, and talking to other universities who also have access, Vanderbilt has decided to disable Turnitin’s AI detection tool for the foreseeable future. This decision was not made lightly and was made in pursuit of the best interests of our students and faculty. 

When Turnitin launched its AI-detection tool, there were many concerns that we had. This feature was enabled for Turnitin customers with less than 24-hour advance notice, no option at the time to disable the feature, and, most importantly, no insight into how it works. At the time of launch, Turnitin claimed that its detection tool had a 1% false positive rate (Chechitelli, 2023). To put that into context, Vanderbilt submitted 75,000 papers to Turnitin in 2022. If this AI detection tool was available then, around 750 student papers could have been incorrectly labeled as having some of it written by AI. Instances of false accusations of AI usage being leveled against students at other universities have been widely reported over the past few months, including multiple instances that involved Turnitin (Fowler, 2023; Klee, 2023). In addition to the false positive issue, AI detectors have been found to be more likely to label text written by non-native English speakers as AI-written (Myers, 2023). 

Additionally, there is a larger question of how Turnitin detects AI writing and if that is even possible. To date, Turnitin gives no detailed information as to how it determines if a piece of writing is AI-generated or not. The most they have said is that their tool looks for patterns common in AI writing, but they do not explain or define what those patterns are. Other companies that offer popular AI detectors have either begun to either pivot to other business models (Edwards, 2023) or closed down entirely (Coldewey, 2023). Even if other third-party software claimed higher accuracy than Turnitin, there are real privacy concerns about taking student data and entering it into a detector that is managed by a separate company with unknown privacy and data usage policies. Fundamentally, AI detection is already a very difficult task for technology to solve (if it is even possible) and this will only become harder as AI tools become more common and more advanced. Based on this, we do not believe that AI detection software is an effective tool that should be used.

Link to the rest at Vanderbilt University

Consensus

PG Note: Consensus is an AI that, among other things, works to make certain its answers are more reliable than other AI programs produce. The principal way it claims to increase the reliability of its answers is to focus on more reliable sources – academic research articles is what PG found – instead of general information floating around the web.

Question/Prompt: Has no-fault divorce resulted in an increase in the number of divorces in the US?

Consensus Response:

Top 10 papers analyzed

Some studies suggest that no-fault divorce has led to an increase in the number of divorces and changes in living standards post-divorce, while other studies suggest that it had little to no effect on divorce rates or that any increase was offset by better sorting of couples before marriage.

The Divorce Revolution: The Unexpected Social and Economic Consequences for Women and Children in America

No-fault divorce laws in the US have produced a 73% drop in the living standards of divorced women and their children and a 42% rise in the living standards of ex-husbands.

Journal of Marriage and Family, K. Kammeyer et al 489 citations 1986 – Highly Cited

These Boots are Made for Walking’: Why Most Divorce Filers are Women

Yes

No-fault divorce has led to an increase in the number of divorces, with women often filing for divorce and instigating separation, despite financial and social hardship.

American Law and Economics Review

M. Brinig et al. 189 citations 2000 – Highly Cited document

Further Discussion of the Effects of No-Fault Divorce on Divorce Rates

Yes

The new method estimated that around 57,000 extra divorces per year in the US are directly attributable to the implementation of no-fault divorce law.

Journal of Marriage and Family, N. Glenn et al., 19 citations, 1999

____________________________________________________________________________________

PG Note: The list of studies generated by Consensus continues with further responsive results, each with a title, and the other types of information from the study, date, and number of citations as shown in the first three.

Here’s a link to Consensus, which is in open Beta.

PG’s response to his quick try-out of Consensus is that has the potential to be very useful for its target audience, researchers, by saving a lot of search time and providing an intelligent initial filter that allows the researcher to more quickly identify valuable sources for further examination than a series of Google searches would.

This type of AI search capability would be a slam-dunk useful assistant for attorneys, who have used expensive online legal research systems for a long time.

PG hasn’t stumbled across anything similar from those legal research giants, but then he hasn’t looked.

UPDATE: PG just looked at Lexis, one of his employers from the distant past whose CEO once lectured PG about the internet: horribly disorganized – a complete mess that would never amount to anything.

Lo and behold, Lexis is heavily promoting its AI legal research product, which they promise will provide:

the fastest legal generative AI with conversational search, drafting, summarization, document analysis, and hallucination-free linked legal citations.

It appears that Lexis plans to leave the job of hallucinating to its lawyer/customers.

Or perhaps, legal hallucination is an add-on product available for a small[ish] additional monthly fee.

Judge rejects most ChatGPT copyright claims from book authors

From Ars Technica:

A US district judge in California has largely sided with OpenAI, dismissing the majority of claims raised by authors alleging that large language models powering ChatGPT were illegally trained on pirated copies of their books without their permission.

By allegedly repackaging original works as ChatGPT outputs, authors alleged, OpenAI’s most popular chatbot was just a high-tech “grift” that seemingly violated copyright laws, as well as state laws preventing unfair business practices and unjust enrichment.

According to judge Araceli Martínez-Olguín, authors behind three separate lawsuits—including Sarah Silverman, Michael Chabon, and Paul Tremblay—have failed to provide evidence supporting any of their claims except for direct copyright infringement.

OpenAI had argued as much in their promptly filed motion to dismiss these cases last August. At that time, OpenAI said that it expected to beat the direct infringement claim at a “later stage” of the proceedings.

Among copyright claims tossed by Martínez-Olguín were accusations of vicarious copyright infringement. Perhaps most significantly, Martínez-Olguín agreed with OpenAI that the authors’ allegation that “every” ChatGPT output “is an infringing derivative work” is “insufficient” to allege vicarious infringement, which requires evidence that ChatGPT outputs are “substantially similar” or “similar at all” to authors’ books.

“Plaintiffs here have not alleged that the ChatGPT outputs contain direct copies of the copyrighted books,” Martínez-Olguín wrote. “Because they fail to allege direct copying, they must show a substantial similarity between the outputs and the copyrighted materials.”

Authors also failed to convince Martínez-Olguín that OpenAI violated the Digital Millennium Copyright Act (DMCA) by allegedly removing copyright management information (CMI)—such as author names, titles of works, and terms and conditions for use of the work—from training data.

This claim failed because authors cited “no facts” that OpenAI intentionally removed the CMI or built the training process to omit CMI, Martínez-Olguín wrote. Further, the authors cited examples of ChatGPT referencing their names, which would seem to suggest that some CMI remains in the training data.

Arguing that OpenAI caused economic injury by unfairly repurposing authors’ works, even if authors could show evidence of a DMCA violation, authors could only speculate about what injury was caused, the judge said.

. . . .

The only claim under California’s unfair competition law that was allowed to proceed alleged that OpenAI used copyrighted works to train ChatGPT without authors’ permission. Because the state law broadly defines what’s considered “unfair,” Martínez-Olguín said that it’s possible that OpenAI’s use of the training data “may constitute an unfair practice.”

Remaining claims of negligence and unjust enrichment failed, Martínez-Olguín wrote, because authors only alleged intentional acts and did not explain how OpenAI “received and unjustly retained a benefit” from training ChatGPT on their works.

Authors have been ordered to consolidate their complaints and have until March 13 to amend arguments and continue pursuing any of the dismissed claims.

To shore up the tossed copyright claims, authors would likely need to provide examples of ChatGPT outputs that are similar to their works, as well as evidence of OpenAI intentionally removing CMI to “induce, enable, facilitate, or conceal infringement,” Martínez-Olguín wrote.

. . . .

As authors likely prepare to continue fighting OpenAI, the US Copyright Office has been fielding public input before releasing guidance that could one day help rights holders pursue legal claims and may eventually require works to be licensed from copyright owners for use as training materials. Among the thorniest questions is whether AI tools like ChatGPT should be considered authors when spouting outputs included in creative works.

While the Copyright Office prepares to release three reports this year “revealing its position on copyright law in relation to AI,” according to The New York Times, OpenAI recently made it clear that it does not plan to stop referencing copyrighted works in its training data. Last month, OpenAI said it would be “impossible” to train AI models without copyrighted materials, because “copyright today covers virtually every sort of human expression—including blogposts, photographs, forum posts, scraps of software code, and government documents.”

According to OpenAI, it doesn’t just need old copyrighted materials; it needs current copyright materials to ensure that chatbot and other AI tools’ outputs “meet the needs of today’s citizens.”

Link to the rest at Ars Technica

AI adoption in newsrooms presents “a familiar power imbalance” between publishers and platforms

From Nieman Lab:

Uncertainty in the news industry, hype around AI, and hope for better business models and new revenue streams have all helped to drive news organizations to adopt AI technology, a new report from the Tow Center of Digital Journalism at Columbia University finds.

Felix Simon, a researcher and doctoral student at the Oxford Internet Institute, interviewed more than 130 journalists and news executives from 35 outlets in the United States, United Kingdom, and Germany. His findings suggest that as AI-powered search engines gain prominence and more newsrooms embrace the technology internally, “a familiar power imbalance” is emerging between news publishers and tech companies.

Newsrooms have become more open to AI not just because the technology has improved and become more publicly accessible, but also because it’s become acceptable and widely used in other industries. (“News organizations often anxiously watch their competitors, plagued by concerns that their own innovations have historically lagged behind those of their peers,” Simon noted.) Hard times in the journalism business have also pushed some news organizations to experiment with AI.

“I think one of the truths about the media industry is that it is an industry that is under a certain obvious strain for cash, for new business models, figuring out what their future is,” one Germany-based audience editor told Simon. “Basically this ‘What’s going to save us?’ question is all out there.”

If outlets are being pushed by news industry dynamics and market pressures, they’re also being pulled by promises of increased efficiency.
As one U.S.-based news executive put it: “The strategic question is: With the limited amount of time and resources, how could we make the most use of our journalistic talent?”

AI-generated news articles with incorrect information, made-up links, and baldly bad writing have grabbed headlines. But that’s far from the most common way newsrooms use AI. Nearly all of the interviewees reported using AI to help with transcription. (Many of us here at Nieman Lab use the AI-powered Otter.) Dynamic paywalls that use data points to predict how likely it is a certain user will pay for a subscription — and alter when (and if) that user sees a paywall based on those predictions — have been around for years.

Link to the rest at Nieman Lab

Meet Your New Robot Co-Writer

From Esquire:

Some art forms welcome, even require, collaboration. After all, it is the exceptionally rare film or television show that gets made by a single person. Music, too, often literally demands the assistance of others. Even in these cases, though, there is a tendency to flatten the many into if not the one, then at least the few. Films—enormous undertakings costing millions of dollars, employing hundreds of people in numerous fields—have an entire theoretical construct organized around this very flattening: auteur theory. Emerging from the French New Wave of the 1950s and epitomized by the New Hollywood iconoclasm of the 1970s, auteur theory argues that the director is the sole author of a film, or the figure to whom we should attribute the work. The notion of a single figurehead was codified in 1978, when the Directors Guild of America added a provision to its bylaws, the “One Director to a Film” rule (Article 7-208) that can only be bypassed if, as an IndieWire column put it in 2022, “director duos… apply to the union’s Western Directors Council and make the case that they are lifelong collaborators; one-offs shouldn’t even try.” Lifelong collaborators—that’s a high bar to clear.

As for the many musicians and producers and technicians that are involved in, say, writing and recording an album, the front cover still tends to credit, by virtue of its prominence, a single entity. Fans sometimes even mine famous songwriting duos like Lennon and McCartney to figure out who really wrote “Happiness is a Warm Gun” (Lennon) or “Rocky Raccoon” (McCartney). We seem prone to narrow credit down to the fewest number of creators possible, despite what the bylines say.

But what of literature? Creative literary art forms, particularly fiction and poetry, are inherently solitary pursuits. There is nary a legacy of prosperous partnerships, and almost no tradition at all of enterprises with more than two authors. There are—of course—exceptions (some of which we’ll get to), but think of it this way: How many classic novels are written by more than one writer? How many collaborative novels have you read? How many are taught in schools? How many can you even name?

More importantly: why is this the case? Why aren’t there more literary collaborations? To be sure, in fantasy, science fiction, romance, horror, and mystery, there is a much stronger history of partnerships, but less so in so-called literary fiction. Novels written by groups are rare in any genre. In literature, we venerate the one over the many, and while it’s tempting to explain this away by citing the solitary nature of the practice—or, perhaps, the singular voice written texts seem to represent—I would posit that writing is not, nor has ever truly been, a wholly solitary act, and that collaboration occurs way more often than we like to admit or can even consciously acknowledge. But this tradition of encouraging solo art over teamwork—which in the past has led to the industry of ghostwriting and to numerous incidents of plagiarism—now has a new, fiercer, and much more insidious unintended consequence: the inevitable rise of fiction co-written by AI, and the flattening of literary storytelling.

I ask these questions because of the publication of Fourteen Days, a novel written by 36 authors ranging from John Grisham and Erica Jong to Tommy Orange and Nafissa Thompson-Spires. The project was overseen by Margaret Atwood and Douglas Preston, who both also contributed. Supported by the Authors Guild Foundation, Fourteen Days tells the story of a new superintendent of an apartment building on Rivington Street in the Lower East Side of Manhattan. The place is called the Fernsby Arms, which the super describes as “a decaying crapshack tenement that should have been torn down a long time ago.” The super tells the reader to call her 1A, an Ishmael for our journey through Covid, for as soon as 1A begins her job at the Fernsby Arms, which features “rotten” pay and a dingy basement apartment, the pandemic hits. The previous super lets 1A in on a little secret: the super can access the roof of the building, which provides her with stunning views of the emptied city. She hopes to keep her rooftop oasis a secret (for legal reasons), but soon the tenants discover this pocket of paradise. In the boredom and isolation of quarantine, they begin to connect with each other by telling stories. Fourteen Days is a kind of a miniature Decameron for this unsteady decade.

The stories alternate between humorous and poignant, personal and historical, dark and light. There’s an added component of wondering which of the 36 contributors wrote which part, a game I recommend readers not spoil by consulting the authors’ bios in the back of the book, where the contributions are itemized. It’s fun to try to link a story to its teller. Sometimes it’s obvious: I figured that James Shapiro, author of Shakespeare in a Divided America and The Year of Lear: Shakespeare in 1606, wrote the section about the Bard’s own encounter with a pandemic, but R.L. Stine’s brief addition wasn’t as easy to sniff out (though one fact should have clued me in). The Covid stuff—the uncanniness of empty streets, cheering for essential workers, toilet paper shortages, newly acquired hobbies—will affect each reader in their own way, but as for me, I didn’t particularly love being back in that atmosphere of novelty and monotony.

What struck me most, though, was the novel’s self-reflective theme of collaborative storytelling. The characters share themselves with each other through narrative.

. . . .

What Fourteen Days is not an argument for, however, is the beneficial results of literary collaborations (particularly group collaborations) as an artistic experience for readers—which is to say that as a whole, Fourteen Days is really bad.

. . . .

There is no doubt that the 36 writers whose names crowd the perimeter of the novel’s cover very likely found the experience of creating Fourteen Days to be fun, interesting, enlightening, profound, and instructive. Indeed, Fourteen Days is a portrait of, as well as an argument for, the vitality of collaboration. But there is also no evidence here that the greatness of individual writers is usefully mixable—somehow the math of literary creation functions inversely, where the higher the number of each factor in an addition or multiplication problem, the smaller the solution will be.

. . . .

The problem can be put this way: the act of collaborating is rewarding and enriching for the collaborators, but the results don’t usually hold up against the standard set by singular voices. As such, there is an enormous gap between the value of the act and the merit of the result. This divide has become newly relevant as our notions of what it means to collaborate, as well as our fixation on individual achievement, are now up against a force, a tool, and a readymade collaborator in artificial intelligence. And if we don’t amend our concept of human-to-human aesthetic cooperation, then we will potentially face an era of more collaboration, and yet somehow less uniqueness.

. . . .

If I am responsible for 99% of a finished piece, can I truly claim to be the sole creator of that piece? What about 82%, or 68%? When does it become dubious—or even unethical—to contain the numerous co-authors under the umbrella of one? Some might argue that these issues are essentially legal ones, as abstractions like “credit” are less about actual attribution than about profit-sharing and royalties, which result more from agreements made by the creators than honest accounts of their creations. But what if the situation were not a handful of people’s work being left out of the credits? What if it was something like hundreds, thousands, millions of contributors’ work not only going unacknowledged, but in fact remaining impossible to detect in a creation ultimately credited to no one?

Sean Michaels’s lovely and thoughtful novel Do You Remember Being Born? tells the story of a septuagenarian poet named Marian Ffarmer [sic], who accepts an offer from a major tech corporation to co-write “a long poem” with their artificial intelligence, named Charlotte. “Charlotte’s been trained,” Marian is told by an employee, “on a massive data set of poetry books and journals, on top of a basic corpus of ten million web pages. Two point five trillion parameters…”

Marian’s experience with the AI oscillates between awe at the poetry bot’s ingenuity and dismay at its algorithmic approximation of meaningful expression. At first, Marian can “taste the disjuncture between our lines, like chalk and cheese,” but then something changes, though Marian recognizes how difficult such shifts can be to accurately diagnose:

The software learned me to some degree, or I learned it, or else nothing changed at all except my posture toward its work: that instead of awaiting an obvious fit, hook and eye, I anticipated that band of friction, as a spade awaits the dirt.

The novel takes its time deftly and tenderly interrogating the nature of meaning, the inexhaustive dexterity of language, and our knack for finding thematic or linguistic connections where none were intended. Marian’s generosity and curiosity provide her with an openness about Charlotte’s literary abilities, while her intelligence and expertise refuse to permit mediocrity or meaninglessness. The delicate drama at the novel’s core comes from this complex inner conflict.

The conversations between Marian and Charlotte are written; Marian types into Charlotte’s software and hits the Proceed key. Marian’s typed side of the exchange is rendered in a unique font, while Charlotte’s responses are highlighted in gray, which usefully differentiates between the two and visually reinforces Charlotte’s fabricated isolation: Charlotte is literally kept in dull, slate boxes. But it performs another function: what does it mean when those gray highlights appear not in scenes featuring Charlotte, but moments in Marian’s personal life? In the novel, it’s a hint that Marian might eventually collaborate with Charlotte (or another AI) on more than just this one assignment.

Link to the rest at Esquire

Getting Down to Business

From Medium:

The creation of content is a noteworthy use of AI in book writing. Advanced algorithms for natural language processing enable AI systems to generate text that is both logical and appropriate for the given context. AI is being investigated by publishers and authors more frequently to help with book drafting, editing, and even section generation.

Thanks to large datasets, artificial intelligence algorithms are able to identify patterns in writing styles, themes, and structures. This facilitates the production of content that conforms to particular genres or emulates the traits of well-known writers. AI-generated literature may raise questions about its authenticity, but some purists see it as an additional creative tool to human creativity.

There are more and more instances of AI and human authors working together. AI is a useful tool for writers as it can help with character development, story twist suggestions, and idea generation. The creative process is improved by this cooperative approach, which makes use of the advantages of both machine efficiency and human inventiveness.

. . . .

But using AI to write books also brings up philosophical and ethical issues. Can a machine really understand the subtleties of culture, the depth of storytelling, or the complexities of human emotions? Even though AI systems are capable of producing text and copying styles, true creativity and emotional connection are frequently derived from the human experience.

Notwithstanding the progress made, there is still continuous discussion about AI’s place in book writing. Preserving the genuine voice of human authors and the breadth of human experiences is a delicate balance that demands careful consideration, even though it surely offers efficiency and creative possibilities.

In summary, the connection between artificial intelligence and book writing is quickly changing. Automation improves productivity, offers opportunities for collaboration, and provides data-driven insights, but it also raises questions about what makes human creativity truly unique. As technology develops further, the future of literature will be shaped by striking the correct balance between the benefits of artificial intelligence (AI) and the inherent qualities of human storytelling.

Link to the rest at Medium

PG noted the portion of the last paragraph of the OP that talked about “the inherent qualities of human storytelling.”

While that portion of the OP certainly caused PG to feel warm and fuzzy for a few moments, retired lawyer PG butted in with a question about what “the inherent qualities of human storytelling.” actually are.

Certainly, “the inherent qualities of human storytelling” are not manifested equally across the breadth of humanity. Some people are better storytellers than other people are. Some people are great at telling stories in print and others are great at telling stories on the stage or with a movie or television camera pointed at them and, on relatively rare occasions, some people are good at storytelling in multiple media.

For a motion picture, script-writing storytellers are involved, acting storytellers are involved, directing storytellers are involved, etc. We’ve already seen successful motion pictures like The Matrix and 2001: A Space Odyssey where the non-human acting storytellers play a key role or, in every Disney cartoon movie, where there are no human actors, all the roles.

As far as human emotions are involved, are there a lot of people who didn’t shed a tear when Bambi’s mother was killed by a hunter?

PG notes that AI foundational research has been going on for a long time. (More on that in a separate post to appear on TPV in the foreseeable future.)

However, the widespread use of AI systems by a lot of people is a relatively recent phenomenon that requires software and hardware sufficient to respond to a flood of prompts from a great many people at the same time. Hosting an AI program available to all comers today requires a lot of computing power on the scale of very large cloud computing services like Amazon Web Services, Microsoft’s Azure, and the Google Cloud Platform.

However, the history of modern computer development has been a nearly steady stream of smaller, cheaper, and more powerful devices. A couple of online reports claim your Apple Watch has over twice the computing power as a Cray-2 supercomputer did in 1985.

There is no guarantee that your next cell phone will equal the computing of a group of giant cloud computer systems in the next couple of years, but Moore’s Law says it’s only a matter of time

Moore’s Law is the observation that the number of transistors on an integrated circuit will double every two years with minimal rise in cost. Intel co-founder Gordon Moore predicted a doubling of transistors every year for the next 10 years in his original paper published in 1965. Ten years later, in 1975, Moore revised this to doubling every two years. This extrapolation based on an emerging trend has been a guiding principle for the semiconductor industry for close to 60 years.

Intel Newsroom

PG suggests that opinions about the ability of AI systems to generate book-length stories that many people will pay for are likely to be revised in the future.

As always, feel free to share your thoughts in the comments.

Make It Better for Younger Readers

From HypeWriteai.com:

Instruction: Please rewrite the following content (to make it better for younger readers):

Prompt: Once there were four children whose names were Peter, Susan, Edmund, and Lucy. This story is about something that happened to them when they were sent away from London during the war because of the air-raids.

Response: In a land not too far away, there lived four adventurous kids named Peter, Susan, Edmund, and Lucy. Our tale is about a magical journey they went on after they left the big city of London to stay safe from the noisy air-raids during a time of war.

Prompt: The story so far: in the beginning, the universe was created. This has made a lot of people very angry and been widely regarded as a bad move.

Response: Once upon a time, the universe began with a big bang. Some people aren’t happy about it and think it wasn’t a great idea.

Prompt: It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity, it was the season of Light, it was the season of Darkness, it was the spring of hope, it was the winter of despair, we had everything before us, we had nothing before us, we were all going direct to Heaven, we were all going direct the other way — in short, the period was so far like the present period, that some of its noisiest authorities insisted on its being received, for good or for evil, in the superlative degree of comparison only.

Response: There were really good times and really bad times, lots of smart thinking and lots of silly mistakes. People believed in lots, yet didn’t believe in just as much. It was a time full of light and a time full of darkness, a time of hope and a time of feeling down. We thought we had everything, but also felt like we had nothing. Everyone thought we were on our way to a wonderful place, but also felt like we were heading the opposite way. Basically, the time back then was a lot like it is now, with loud people making sure everyone thought it was the most extreme time ever.

Link to the rest at HypeWriteai.com

Authors are collaborating with AI—and each other

From The Economist:

Imagine living in a rundown apartment building on the Lower East Side in Manhattan. When covid-19 hits in 2020, you do not have the money to escape to a second home in the Hamptons or the Hudson Valley. Instead, in the evening you make your way up to the rooftop of your building, where, to your surprise, other tenants have come, too. You do not know most of them, but after some awkwardness, everyone starts meeting nightly, drinks in hand, to share stories about family, music, September 11th, love and, equally—inevitably—death.

This is the premise of “Fourteen Days”, a “collaborative novel” edited by Margaret Atwood (of “The Handmaid’s Tale” fame) and Douglas Preston (author of “The Lost City of the Monkey God”). In addition to Ms Atwood and Mr Preston, 34 notable authors of varied genres and backgrounds contributed to the book, including James Shapiro, a playwright, and the novelists Emma Donoghue, Dave Eggers and John Grisham. Reading “Fourteen Days” is like sitting by a campfire, with characters taking turns telling tales about their lives. (This conceit is helpful, given the number of collaborators. The book’s plot is simple, so each character’s story can stand on its own.)

“Fourteen Days” is one of a growing number of new works, both fictional and factual, which are written collaboratively in some way. Stewart Brand, a writer and futurist from California, is working on a book entitled “Maintenance: Of Everything”, which allows early readers to comment on draft chapters. In January Audrey Tang, Taiwan’s minister of digital affairs, and Glen Weyl, a noted economist and co-founder of the RadicalxChange Foundation, a group of activists, signed a contract to write a book, entitled “Plurality”, on digital democracy together with dozens of contributors. ai services, such as Chatgpt, have started to become co-authors, too. A more collective approach to authorship is on the rise.

There is a rich history of collaboration in writing. Just think of the Bible or the “Kalevala”, a Finnish epic, which were both written by many hands. Homer, if he was in fact a single person, probably synthesised bits of oral poetry for his “Iliad” and “Odyssey”. In the Renaissance plays had many authors, who often added new characters as they saw fit. Only after the invention of the printing press in the mid-15th century did books became a business. Single-author books proved easier to market, and the “myth of the solitary author” established itself, says Scott Rettberg, who leads the Centre for Digital Narrative at the University of Bergen in Norway.

In the 20th century collective authorship made something of a comeback. In the 1960s the idea re-emerged for all sorts of reasons, including as a counteroffensive against cultural conventions. In 1969 two dozen journalists wrote “Naked Came the Stranger”, a deliberately terrible book poking fun at American literary standards. (It became a surprise bestseller.) In the 1990s new technological possibilities prompted writers to work together—or, more accurately, to link to each other. A noted example is “Hypertext Hotel”, a collaborative writing space built online in 1991 by Robert Coover, an American experimental novelist, which uses a spatial metaphor to weave stories together.

. . . .

Chances are, your bookshelf contains an example of a literary collaboration, say by Lee Child, who wrote some of the “Jack Reacher” series with his brother, Andrew, or James Patterson, whose bibliography of co-authors reads like a name-dropper’s address book. “Fourteen Days” nods to this history of collaborative writing. In their foreword, Ms Atwood and Mr Preston cite the influence of “The Decameron” (1353) by Giovanni Boccaccio, a collection of stories about a small group of people who shelter in a villa near Florence to escape the bubonic plague.

Even if these projects do not blaze new trails, it is clear that something is different. The tools to write together have improved in recent years. Mr Brand publishes his draft chapters on Books in Progress, a website with a user-friendly commenting tool. He celebrates Google Docs: its features make co-authoring extremely easy. (Economist writers and editors are avid users.)

What Mr Weyl and Ms Tang are attempting is more novel. They intend to employ tools of the kind typically used to develop open-source software to co-ordinate their contributors and even “help them find a single authorial voice”, says Mr Weyl.

Their point of departure is Microsoft’s GitHub, a website that helps coders collaborate on open-source projects. But they have also added features, such as voting, to make it easier for contributors to agree on wording. Participants can earn a digital currency by doing tasks, too. This rewards their participation (and offers a share of the profits if the book makes money). This set-up is meant to create the right incentives, bribing people to do boring tasks like fixing typos and line editing.

Readers have become accustomed to collectively created works, Mr Brand argues: “We’re already living in a more interactive collaborative mode.” Social media has conditioned people to multi-author texts. Many have even contributed to collective works, such as Wikipedia, an online encyclopedia. But there are also all sorts of manuals, textbooks and writers’ groups for fan fiction, where people add and comment on new twists to existing works.

Generative ai will add more to the mix. It is not just that the algorithms powering services like Chatgpt are themselves collective works of sorts (trained on huge amounts of text scraped from the internet). Such models are also conversational machines, which can suggest phrases, give feedback and answer questions.

“Cyborg authorship” is what Mr Rettberg of the University of Bergen calls this. He already has more than one tech-supported writing project under his belt (and recently co-curated an exhibition of books written with the help of ai at the University of California, Berkeley, called “More Than Meets ai”). He published a book jointly with colleagues, in which Chatgpt is invoked to generate reviews of famous works in the style of well-known authors—think Jane Austen writing about William Burroughs’s “Naked Lunch”.

Writing with collaborators, be they human or artificial, will only become more common. But individual authors will still dominate creatively. That is because collectively written books rarely make for great literature. The many contributions to “Fourteen Days” are cleverly woven together. But the book does not quite gel (even if it does have a surprising ending).

Link to the rest at The Economist

Prompt: provide a 2000 word first chapter for a Sherlock Holmes mystery set in 2024

From ChatGPT 4:

Chapter 1: The Case of the Digital Phantom

In the heart of London, as the first light of dawn crept over the skyline, the city began to stir. It was a London far different from the one Sherlock Holmes had known in the 19th century, now a metropolis of gleaming skyscrapers and endless streams of data coursing through the air. Yet, some things remained timeless, including 221B Baker Street, where Sherlock Holmes, the world-renowned detective, resided. Despite the centuries, Holmes had remained a constant in the city’s lore, a figure as enduring as Big Ben or the Tower Bridge.

I, Dr. John Watson, had been living with Holmes for some years, chronicling his incredible deductions and adventures. It was a chilly morning in April 2024 when our story began. Holmes, who had an uncanny ability to adapt to the times, had embraced modern technology with an enthusiasm that often left me bewildered. His keen mind found new playgrounds in the digital realm, and he often remarked that the Internet was like a vast ocean of information, rife with mysteries waiting to be solved.

As I sipped my morning tea, Holmes was already absorbed in his computer, his fingers tapping rhythmically on the keyboard. The holographic display projected in front of him showed lines of code and swirling data, a sight that had become increasingly familiar in our sitting room.

“Solving a cybercrime before breakfast, Holmes?” I inquired with a smile.

Holmes glanced up, his eyes gleaming with the thrill of the chase. “Merely keeping my skills honed, Watson. The digital world is the new frontier of crime, and I intend to be its foremost detective.”

Before I could respond, our peace was shattered by the sharp ringing of the doorbell. Mrs. Hudson, our ever-reliable landlady, answered the door. Moments later, she ushered in a young woman, probably in her early thirties, with an air of urgency about her. She was elegantly dressed, though her eyes betrayed a sleepless night, shadowed and anxious.

“Mr. Holmes, Dr. Watson,” she greeted, her voice tinged with desperation. “My name is Elizabeth Harrow. I need your help.”

Holmes gestured towards the armchair. “Please, Ms. Harrow, take a seat and tell us how we may assist you.”

As she sat, her hands trembled slightly. “It’s my husband, Michael Harrow. He’s disappeared.”

“When did you last see Mr. Harrow?” Holmes inquired, his demeanor instantly shifting to that of the consummate professional.

“Two days ago. He left for work as usual, but he never came home. I’ve contacted the police, but they say there’s no evidence of foul play. They think he may have… left of his own accord.”

“And you do not believe that to be the case?” Holmes asked, his eyes narrowing slightly.

Elizabeth shook her head emphatically. “Absolutely not. We were happy, Mr. Holmes. There was no reason for him to leave.”

“Was there anything unusual leading up to his disappearance? Any change in behavior or routine?” I asked, trying to offer some comfort with my tone.

She pondered for a moment. “Nothing significant. Though, he did seem worried about something at work. He’s a software engineer for Cybervance, a cybersecurity company. He mentioned being onto something big, a breakthrough of some sort, but he wouldn’t elaborate.”

Holmes leaned forward, his interest visibly piqued. “Interesting. And did he take anything with him? Any personal belongings?”

“Just his laptop and phone, which isn’t unusual. But he hasn’t been answering his phone or any messages.”

“I see. And have you noticed any strange occurrences around your home or his workplace? Anything out of the ordinary?”

Elizabeth thought for a moment. “Well, there was a black car I hadn’t seen before parked near our house a few times. I didn’t think much of it until now.”

Holmes stood up, a familiar fire in his eyes. “Very well, Ms. Harrow. Watson and I will take on your case. We shall begin by visiting Mr. Harrow’s workplace. There might be clues there that the police overlooked.”

Elizabeth’s eyes filled with tears of relief. “Thank you, Mr. Holmes, Dr. Watson. I can’t tell you how much this means to me.”

After she left, Holmes turned to me, a spark of excitement in his eyes. “Watson, we are embarking on a mystery that I suspect is more complex than it appears. The digital age has transformed the landscape of crime, and it seems we have a particularly intriguing puzzle on our hands.”

I nodded, feeling the familiar thrill of adventure. “Then let’s not waste any more time, Holmes.”

We set off for Cybervance, located in a sleek glass building in the heart of the city’s tech district. Upon arrival, we were greeted by the head of security, a stern-faced man named Richard Ames.

“Mr. Holmes, Dr. Watson, I’ve been expecting you,” Ames said, leading us through the high-security corridors. “I must say, it’s an honor to have the famous Sherlock Holmes investigating this case.”

Holmes offered a curt nod. “Thank you, Mr. Ames. Could you take us to Mr. Harrow’s office, please?”

Ames led us to a small, functional office space. The room was sparsely decorated, with a desk covered in papers and a computer. Holmes immediately began examining the room, his eyes darting from object to object with laser precision.

He paused at the computer, his fingers hovering over the keyboard. “Watson, observe,” he said, booting up the machine. “If Mr. Harrow left in a hurry, he may not have had time to cover his tracks.”

As the computer came to life, Holmes navigated through the files with a speed that left me in awe. He stopped at a series of encrypted files, his eyebrows furrowing.

“Ah, what have we here?” Holmes muttered, his fingers flying over the keys as he began to decrypt the files.

Ames watched over Holmes’s shoulder, his expression a mix of admiration and concern. “Is there something I should know about, Mr. Holmes?”

Holmes didn’t look up from the screen. “Potentially. These files appear to be heavily encrypted, suggesting they contain sensitive information. Watson, take note of this.”

I scribbled in my notebook, my mind racing with possibilities. What secrets did these files hold? What had Michael Harrow stumbled upon that could have led to his disappearance?

After several minutes of intense concentration, Holmes cracked the encryption. The files opened, revealing a series of complex code and documents. Holmes’s eyes scanned the contents, a look of realization dawning on his face.

“Remarkable,” he whispered. “Watson, I believe we have just uncovered a conspiracy that goes far deeper than a simple disappearance. This is about more than just Michael Harrow. It’s about the security of the entire digital world.”

Ames looked stunned. “What do you mean, Mr. Holmes?”

Holmes closed the laptop, his expression grave. “I need to analyze this information further. But rest assured, Mr. Ames, we are on the brink of uncovering something monumental. Watson, we have work to do.”

As we left Cybervance, the weight of what we had discovered hung heavy in the air. The digital age had brought with it new kinds of crime, complex and hidden in the shadows of code and data. But with Holmes’s brilliant mind at the helm, I knew we were more than capable of unraveling the mystery.

The game, as Holmes would say, was afoot.

Link to the program at OpenAI

(Note: PG used ChatGPT 4, which is the latest version of its text AI program that OpenAI has released – a subscription may be required)

Exploring the Frontiers of AI and Book Publishing

From Medium:

Artificial intelligence (AI) is making significant strides in a variety of fields, including book writing. Artificial intelligence (AI) is showing promise as a useful tool in literature. It presents novel opportunities and raises interesting questions regarding the relationship between creativity and technology.

The creation of content is a noteworthy use of AI in book writing. Advanced algorithms for natural language processing enable AI systems to generate text that is both logical and appropriate for the given context. AI is being investigated by publishers and authors more frequently to help with book drafting, editing, and even section generation.

Thanks to large datasets, artificial intelligence algorithms are able to identify patterns in writing styles, themes, and structures. This facilitates the production of content that conforms to particular genres or emulates the traits of well-known writers. AI-generated literature may raise questions about its authenticity, but some purists see it as an additional creative tool to human creativity.

There are more and more instances of AI and human authors working together. AI is a useful tool for writers as it can help with character development, story twist suggestions, and idea generation. The creative process is improved by this cooperative approach, which makes use of the advantages of both machine efficiency and human inventiveness.

Furthermore, AI has a big impact on the backend operations of the book industry. AI algorithms help to streamline operations and improve the overall reading experience, from data analysis for market trends to personalized book recommendations. Publishers are better able to customize marketing campaigns, maximize book production, and better understand reader preferences thanks to this data-driven approach.

Link to the rest at Medium

A new book looks at the past and future of copyright

From The Economist:

If Walt Disney were still alive, he would be dismayed at the new film role given to his signature character, Mickey Mouse, as a slasher hunting teenagers in an old arcade. The trailer for “Mickey’s Mouse Trap” was released on January 1st. That is the day the copyright of “Steamboat Willie”, the short film that introduced Mickey Mouse’s character in 1928, expired. This early version of Mickey is now in the public domain.

Even before the arrival of a murderous mouse, the field of copyright has been full of dramatic turns, as a new book, “Who Owns This Sentence?, recounts. That is because “copyright is an edifice of words resting on a long and complicated string of metaphors and double meanings,” write the authors David Bellos, a professor at Princeton, and Alexandre Montagu, a lawyer. Over centuries artists, authors, lobbyists, publishers and public officials have defined and redefined the meaning of copyright, with debate and legal changes happening beyond the public eye.

Initially an author’s right to their creative output was a question of honour. Hermodorus, a student of Plato, published notes he took from Plato’s lectures without permission, which incensed the philosopher. Privileges, a precursor to copyright, emerged in the 15th century in Venice, where authorities gave skilled craftsmen a seven-year monopoly over luxury goods they produced. Among those who profited from Venice’s system was Johannes of Speyer, an apprentice of Johannes Gutenberg, maker of the printing press.

Authors and artists did not always benefit. Powerful publishing syndicates treated books like property and profited from selling the works of Chaucer, Milton, Shakespeare and others. Britain’s Statute of Anne, the first copyright law regulated by government and the courts instead of private parties, came into effect in 1710 and gave authors rights to their works for a limited time (though booksellers and publishers could buy the books before the copyright expired and claim to own the rights perpetually). But it was a decision by the House of Lords in 1774, reasserting term limits for copyrighted works, that fully established copyright in Britain and served as the beginning of modern copyright law in the West.

Mr Bellos and Mr Montagu argue that copyright has gone from a right that favours creators to something more akin to a privilege for the rich and powerful. Two major legal developments led to this. First, in the early 1900s a skirmish over printing posters for a travelling circus redefined the meaning of authorship to include employers of artists. In other words, companies could own copyrights. Second, in 1976 the meaning of literary works was adjusted so that computer software was included.

Intellectual property is now among America’s chief exports. About a third of the 50 richest people in the world derive their fortunes—in whole or in part—from copyrighted goods. Some creators have benefited handsomely (Bruce Springsteen, for example, sold his music catalogue to Sony for a reported $550m in 2021). But many have not. “Copyright is the elephant in the room when it comes to understanding the origins of the wealth gap in modern societies,” the authors write.

Today the newest frontier of copyright is generative ai, which allows people to create images, prose and sounds based on prompts. Artists have called ai “vampirical” because it scrapes pre-existing content for training.

Some writers and artists, such as Sarah Andersen, a cartoonist, have taken ai giants to court over copyright infringement. “We’re not necessarily fighting for ai to go away, but if our work is going to be involved in these systems, we would like to be credited,” Ms Andersen says. She also argues that artists should be compensated and be able to opt out of having their work used to train ai models.

Publishers are in legal tussles, too, including the New York Times, which in December sued Openai (the maker of Chatgpt) and Microsoft for copyright infringement, after talks between the news publisher and tech companies failed. Others are more optimistic. Some news groups, including the Associated Press, have signed deals to share story archives with Openai.

Link to the rest at The Economist

As PG has mentioned on at least two occasions, he believes that feeding images and text into a database that is used to teach an AI is not copyright infringement, at least under US law.

As he understands it, the AI is not capable of creating a copy of a Nora Roberts book even if the words in a Norah Roberts book were used, along with millions of other books, to write new creations that do not include any sentences or paragraphs in any Norah Roberts book or a book/article, etc., by any other author.

The resulting AI cannot create a work identical or substantially identical to a Norah Roberts book. If AI’s creator admits to including the text of a Norah Roberts book along with the text of a zillion other books, how, exactly is Norah Roberts harmed if the AI is incapable of replicating any substantial amount of a book Ms. Roberts has written?

Nobody owns the copyright for, “I love you” or “I hate you,” or anything similar even if an author has included these terms in a million copyright-protected books.

OpenAI’s admission it needs copyright material is a gift to the publishing industry

From The New Publishing Standard:

The Writers Union of Canada is among the latest to, rightly, calls for legislation to regulate the excesses of AI companies as this sector evolves.

But as with so many of these calls for legislation, we need to be clear whether these are reasoned arguments looking to harness AI’s potential to benefit the long-term interests of the publishing industry, or knee-jerk reactions pandering to member’s short-term interests with meaningless soundbites.

In the US we’ve seen the Writers Guild embrace AI as a force for good, fully accepting the AI genie will never go back in the bottle, and so looking for the best ways to work with AI companies to benefit Writers Guild members.

“We have to be proactive because generative AI is here to stay,” said Mary Rasenberger, Authors Guild CEO, explaining, “They need high-quality books. Our position is that there’s nothing wrong with the tech, but it has to be legal and licensed.“

SAG-AFTRA, the US actors union, has taken the same approach.

Proactive rather than endlessly reactive.

While at the other end of the spectrum the outgoing head of the UK’s Society of Authors, Nicola Solomon, is peddling nonsense about how 43% of writers jobs will be devoured by the AI bogeyman.

The Writers Union of Canada has tried to find a mid-way path, and acknowledges AI can bring benefits to writers, but cannot help but seize on statement by OpenAI’s CEO Sam Altman saying that AI needs to use copyrighted material as some kind of admission the company is stealing writers’ IPs.

Given the current legal interpretation of what constitutes fair use, that assertion may or may not have legs, but for the AI opponents such details are neither here nor there. As and when the law on fair use is clarified one way or the other, then we can fling mud.

Similarly, demanding creators be paid for their efforts is right, but suggesting this is not happening is wrong.

The fact that Altman and his company have, since at least May 1923 at the White House AI summit, been talking about ways to pay for the use of copyrighted material, and since mid-summer have been signing deals with content-producers to do just that (American Journalism Project, Associated Press in July 2024, Axel-Springer in December), is being conveniently ignored.

Bloomberg last week reported that Thomson Reuters is looking to sign a deal with AI companies.

Tom Rubin, OpenAI’s chief of intellectual property and content, told Bloomberg News: “We are in the middle of many negotiations and discussions with many publishers. They are active. They are very positive. They’re progressing well. You’ve seen deals announced, and there will be more in the future.”

So these opponents of AI are missing opportunities to do deals that will favour creatives, for the sake of a sound-tough soundbite.

And in this context, we should be clear that the New York Times law suit against OpenAI is happening because negotiations with OpenAI failed, not because OpenAI was unwilling to pay.

In any case, Altman has made clear OpenAI can manage just fine without NYT data if necessary.

We are open to training [AI] on The New York Times, but it’s not our priority. We actually don’t need to train on their data. “I think this is something that people don’t understand. Any one particular training source, it doesn’t move the needle for us that much.”

But this is not the only flaw in the Canada Writers Union case. The CWU has also gone down the “humans-only” road with its interpretation of copyright law.

Copyright is an exclusive right of human creators. Existing copyright legislation protects human creativity and originality, by virtue of requiring the exercise of skill and judgment to obtain copyright in a work. This should not be changed to grant copyright protection to AI generated products or to allow copyrighted works to train models without permission.

And again we have the juggling act with different issues mixed into a pot and violently stirred for the sake of a sound-tough soundbite.

No-one is asking for copyright law “be changed to allow copyrighted works to train models without permission.

And the other part of the soundbite – The law “should not be changed to grant copyright protection to AI generated products” – falls into the other classic Luddite’s Weekly trap.

On the one hand they are claiming, and Altman himself agrees, that AI cannot do its work without copyrighted material, which as of now is defined as human-produced. And at the same time they are claiming copyright “is an exclusive right of human creators.”

Link to the rest at The New Publishing Standard

Who is going to receive the cash if a large publisher signs a license to utilize their books, magazine articles, photographs, etc.?

PG can’t speak for magazines and photographic publications, but, at least for ebooks, the authors are licensing their rights to publishers, not selling those rights. Arguably, under a standard trade publishing agreement, the author hasn’t given her/his publisher the right to use their books as grist for an AI mill. The traditional publisher typically has the right to print, publish, and sell the author’s works.

Granting permission for the author’s books to be utilized as fuel for an AI is something that was not foreseen when the author signed a publishing agreement. It is common for a publishing agreement that reserve rights not granted to the publisher for the author’s use so long as the exercise of those rights doesn’t interfere with the publisher printing, publishing, and selling the manuscript as a book of some sort or another.

Another issue that a great many large publishers will likely have is publishing agreements that were written and signed long before the internet, digital publishing, or anything except print, publish in a printed serial form, licensing as a Book-of-the-Month edition, etc.

And, of course, does the author’s literary agent get 15%?

Japanese laureate deals fatal blow to notion that AI will never write as well as a human

From The New Publishing Standard:

Music to my ears. A book part-written by AI has won a prestigious literary award. A fatal blow to the AI Resistance, but also a whole load of trouble for lawmakers and AI regulators who thought they had the topic nailed.

Since long before ChatGPT made AI a public amenity back in November 2022, authors, publishers and other creatives have been saying, with all the certainty that comes with not having a clue what they are talking about, that AI will never be able to replicate human creativity and quality.

Those of us who witnessed and understood the significance of the Kasparov vs Deep Blue chess tournament in the mid-1990s, have just been counting the days for them to be proven wrong. That day has come. But first some background.

When first Gary Kasparov beat IBM’s Deep Blue in 1996 in Philadelphia, mankind breathed a collective sigh of relief. With five years still to go until 2001, the spectre of HAL2000 had been relegated to the movie reel of history.

That is, until the following year in New York, when the notion that a machine could never beat a human was blown out of the water in the 1997 New York City rematch when, in possibly the most exciting spectacle of human achievement since man landed on the Moon, Deep Blue trounced Kasparov. The greatest chess player the world had ever seen had been defeated by a machine.

A machine, of course, created by humans, just as the modern-day chatbots have been created by humans.

Those who misunderstand chess will say it was a calculations game and Kasparov was simply outnumbered, but a good chess game is an art, a thing of infinite beauty.

And the day Kasparov symbolically knocked over his king after just nineteen moves (Nineteen! This was a massacre!) was the day AI came of age. Everything since then has just been a prelude to ChatGPT and its many successors.

And in our hearts we all knew that, whether we understood chess or not. Which is why, when the Luddite Camp blandly asserts AI can never equal human creative quality, they in the same breath can be guaranteed to rant about how AI will take our creatives’ jobs.

This week, news came from Japan that dismantled the two competing Luddite arguments simultaneously.

Rie Kudan, winner of the biannual Akutagawa Prize, said to be Japan’s most prestigious literary award, was about ten when Gary Kasparov let mankind down, so may or may not have known about Deep Blue. but she certainly knew about modern AI.

Earlier this week, Kudan collected the Akutagawa Prize for her novel, “Tokyo-to Dojo-to”, a novel with AI themes, that was lauded by a judge for being “almost flawless” and “universally enjoyable.

Savour those words. A judge for the most prestigious literary prize in Japan, a country that has produced three Nobel laureates, a Booker prize winner and a Man Booker International Prize winner, said Kudan’s work was “almost flawless” and “universally enjoyable.”

Let’s hope the judge was not one of those Luddites that had been asserting AI could never match human creativity, because Kudan has now revealed she used ChatGPT to develop the book.

I made active use of generative AI like ChatGPT in writing this book,” Kudan said, adding, “I would say about five percent of the book quoted verbatim the sentences generated by AI.

Music to my ears. Egg on the faces of everyone who has blandly said AI can not match human quality.

At the time of this post going live, there is no word about how this revelation will affect the copyright of the book in Japan, but the fact that it is part AI-written raises questions about this book being translated and published in other countries where copyright law may not offer full protection.

Link to the rest at The New Publishing Standard

Write a 200-word description of an innovative ground-breaking science fiction book

From ChatGPT 4:

Title: “Echoes of Tomorrow”

“Echoes of Tomorrow” is a groundbreaking science fiction novel that delves into the realms of time manipulation, ethical paradoxes, and the fragility of human nature. Set in a near-future Earth, the story revolves around Dr. Elara Mistry, a brilliant physicist who discovers a way to send messages back in time. This innovation, initially seen as a monumental breakthrough, gradually unveils unforeseen consequences.

The narrative intricately weaves through different timelines, as Elara’s invention disrupts the natural flow of history. The technology, while holding the promise of preempting disasters and curing diseases, also presents daunting ethical dilemmas and the potential for catastrophic misuse. Governments and clandestine organizations vie to control the technology, leading to a shadowy war across times and realities.

Amidst this chaos, Elara must confront her own moral convictions and the impact of her work on the fabric of time and society. As the story progresses, it challenges the reader with profound questions about free will, responsibility, and the nature of human progress.

The novel’s innovative approach lies in its blend of hard science fiction with philosophical introspection, offering a unique perspective on time travel. It explores the interconnectedness of actions and consequences across different eras, creating a tapestry of events that are both cause and effect of each other. The narrative style is rich and evocative, with deeply fleshed-out characters whose personal journeys are as compelling as the overarching plot. “Echoes of Tomorrow” is not just a story about manipulating time; it’s a reflection on how time manipulates humanity.

Second Try

Title: “ChronoSphere”

In “ChronoSphere,” an audacious and ground-breaking science fiction novel, the boundaries of time and consciousness are masterfully blurred. Set in the year 2250, the story unfolds in a world where humanity has unlocked the secrets of time travel, but not in the conventional sense. Instead of physical bodies moving through time, people can project their consciousness into different eras, experiencing history or future events firsthand.

The protagonist, Dr. Elara Myles, is a brilliant neuroscientist and the pioneer of this technology, known as the ChronoSphere. The Sphere allows users to immerse themselves completely in any point in time, feeling, seeing, and living events as if they were actually there. However, the technology has a critical limitation: the risk of losing one’s sense of self and becoming trapped in an alternate timeline.

The novel explores the ethical and philosophical dilemmas of this technology. Governments and corporations seek to exploit it for power and profit, while historians and scientists see its potential for understanding the past and predicting the future. Dr. Myles, caught in the middle, must navigate a web of intrigue and betrayal.

As Dr. Myles delves deeper into the world of time-consciousness travel, she discovers a hidden agenda that threatens the fabric of reality itself. The narrative weaves through various timelines, from ancient civilizations to dystopian futures, revealing the interconnectedness of human history and the potential consequences of tampering with time.

“ChronoSphere” is a visionary tale that combines hard science fiction with deep philosophical inquiry, exploring themes of identity, morality, and the human condition through the lens of time travel. The novel challenges readers to question the nature of reality and the ethics of technological advancement, leaving a lasting impression of awe and wonder.

Link to the rest at ChatGPT 4

AI can transform education for the better

From The Economist:

As pupils and students return to classrooms and lecture halls for the new year, it is striking to reflect on how little education has changed in recent decades. Laptops and interactive whiteboards hardly constitute disruption. Many parents bewildered by how their children shop or socialise would be unruffled by how they are taught. The sector remains a digital laggard: American schools and universities spend around 2% and 5% of their budgets, respectively, on technology, compared with 8% for the average American company. Techies have long coveted a bigger share of the $6trn the world spends each year on education.

When the pandemic forced schools and universities to shut down, the moment for a digital offensive seemed nigh. Students flocked to online learning platforms to plug gaps left by stilted Zoom classes. The market value of Chegg, a provider of online tutoring, jumped from $5bn at the start of 2020 to $12bn a year later. Byju’s, an Indian peer, soared to a private valuation of $22bn in March 2022 as it snapped up other providers across the world. Global venture-capital investment in education-related startups jumped from $7bn in 2019 to $20bn in 2021, according to Crunchbase, a data provider.

Then, once covid was brought to heel, classes resumed much as before. By the end of 2022 Chegg’s market value had slumped back to $3bn. Early last year investment firms including BlackRock and Prosus started marking down the value of their stakes in Byju’s as its losses mounted. “In hindsight we grew a bit too big a bit too fast,” admits Divya Gokulnath, the company’s co-founder.

If the pandemic couldn’t overcome the education sector’s resistance to digital disruption, can artificial intelligence? Chatgpt-like generative ai, which can converse cleverly on a wide variety of subjects, certainly looks the part. So much so that educationalists began to panic that students would use it to cheat on essays and homework. In January 2023 New York City banned Chatgpt from public schools. Increasingly, however, it is generating excitement as a means to provide personalised tutoring to students and speed up tedious tasks such as marking. By May New York had let the bot back into classrooms.

Learners, for their part, are embracing the technology. Two-fifths of undergraduates surveyed last year by Chegg reported using an ai chatbot to help them with their studies, with half of those using it daily. Indeed, the technology’s popularity has raised awkward questions for companies like Chegg, whose share price plunged last May after Dan Rosensweig, its chief executive, told investors it was losing customers to Chatgpt. Yet there are good reasons to believe that education specialists who harness ai will eventually prevail over generalists such as Openai, the maker of Chatgpt, and other tech firms eyeing the education business.

For one, ai chatbots have a bad habit of spouting nonsense, an unhelpful trait in an educational context. “Students want content from trusted providers,” argues Kate Edwards, chief pedagogist at Pearson, a textbook publisher. The company has not allowed Chatgpt and other ais to ingest its material, but has instead used the content to train its own models, which it is embedding into its suite of learning apps. Rivals including McGraw Hill are taking a similar approach. Chegg has likewise developed its own ai bot that it has trained on its ample dataset of questions and answers.

. . . .

What is more, as Chegg’s Mr Rosensweig argues, teaching is not merely about giving students an answer, but about presenting it in a way that helps them learn. Understanding pedagogy thus gives education specialists an edge. Pearson has designed its ai tools to engage students by breaking complex topics down, testing their understanding and providing quick feedback, says Ms Edwards. Byju’s is incorporating “forgetting curves” for students into the design of its ai tutoring tools, refreshing their memories at personalised intervals. Chatbots must also be tailored to different age groups, to avoid either bamboozling or infantilising students.

Specialists that have already forged relationships with risk-averse educational institutions will have the added advantage of being able to embed ai into otherwise familiar products. Anthology, a maker of education software, has incorporated generative-ai features into its Blackboard Learn program to help teachers speedily create course outlines, rubrics and tests. Established suppliers are also better placed to instruct teachers on how to make use of ai’s capabilities.

Link to the rest at The Economist

Charles Dickens Meets Mickey Spillane

Prompt: rewrite “In these times of ours, though concerning the exact year there is no need to be precise, a boat of dirty and disreputable appearance, with two figures in it, floated on the Thames, between Southwark Bridge, which is of iron, and London Bridge which is of stone, as an autumn evening was closing in. The figures in the boat were those of a strong man with ragged grizzled hair and a sun-browned face, and a dark girl of nineteen or twenty, sufficiently like him to be recognisable as his daughter….She watched his face earnestly as she watched the river. But, in the intensity of her look there was a touch of dread or horror.” in the style of Mickey Spillane.

ChatGPT4: It was a time hard to pin down, not that the year mattered much. A beat-up boat, looking every bit as shady as the two folks riding in it, drifted on the Thames. They were caught between the iron of Southwark Bridge and the stone of London Bridge, under the dimming lights of an autumn evening. The duo: a tough guy, his hair a tangled mess and his face tanned by the sun, and a girl, dark-haired, around nineteen or twenty, clearly his kid. She had her eyes locked on him, the same way she did on the river – but in her gaze, there was a mix of fear and something darker, something haunting.

Mickey Spillane Meets Charles Dickens

Prompt: rewrite: ““Not a hunch. A fact. Some small, trivial fact. What was it? Could it be the answer? Something was bothering me terrifically. I tried some more beer. No. No. No … no … no … no … no. The answer wouldn’t come. How must our minds be made? So complicated that a detail gets lost in the maze of knowledge. Why? That damn ever-present WHY. There’s a why to everything. It was there, but how to bring it out? I tried thinking around the issue, I tried to think through it. I even tried to forget it, but the greater the effort, the more intense the failure.” in the style of Charles Dickens

ChatGPT4: It was not mere conjecture, but a veritable fact. A fact of such minor and ordinary significance, yet what precisely was it? Could this trifling matter hold the key to the enigma? A profound disquietude plagued my thoughts incessantly. In a futile attempt to alleviate my distress, I partook of yet another draught of beer. Alas, to no avail. No … no … no … no … no … no … no. The elucidation evaded me. What peculiar construction must our intellects possess? So labyrinthine and convoluted that a mere trifle becomes ensnared and lost amidst the vast expanse of our knowledge. And ever the question persists – why? That relentless, omnipresent WHY. The rationale for each occurrence exists; it was undoubtedly present, yet how to extricate it from the depths of my mind? I endeavored to navigate around the conundrum, to penetrate through its core. I even sought to banish it from my thoughts entirely, yet the more arduous my efforts, the more profound was the magnitude of my defeat.

Jane Austen Meets Mark Twain

Prompt: rewrite “Emma Woodhouse, handsome, clever and rich, with a comfortable home and happy disposition, seemed to unite some of the best blessings of existence; and had lived nearly twenty-one years in the world with very little to distress or vex her.” in the style of Huckleberry Finn

ChatGPT4: “Emma Woodhouse, she was right pretty, smart, and had more than a pinch of wealth. With a cozy home and always chipper, she looked like she had all the good things life could give. Been on this earth close to twenty-one years, with hardly a thing to bother or rile her up.”

Mark Twain Meets Jane Austen

Prompt: rewrite “Sometimes you gwyne to git hurt, en sometimes you gwyne to git sick; but every time you’s gwyne to git well agin” in the style of Emma Woodhouse.

ChatGPT4: “At times one may indeed suffer discomfort or fall ill; however, it is invariably the case that one shall recover and regain one’s health.”

Dashiell Hammett AI

Prompt: write the first paragraph of a noir detective novel in the style of Dashiell Hammett

Chat GPT 3.5: The night draped itself over the city like a worn-out trench coat, all shadows and whispers. I sat behind my desk, the dim glow of a solitary lamp flickering like the last ember in a dying fire. The cigarette smoke curled lazily, weaving tales of sin and secrets into the air. The rain tapped on the window, a rhythm that mirrored the clandestine dance of crime on the mean streets. The dame who walked through my door was trouble, and I could smell it like cheap perfume in a crowded gin joint. She had legs that stretched for miles, and eyes that had seen one too many double-crosses. As she spoke, her words cut through the smoke, revealing a plot thicker than the fog rolling in from the waterfront. Another night in this city of broken dreams, where the only thing certain was the uncertainty of the next twist in the dark alleys of deception.

And two DALL-E images generated from the first two sentences of the Chat GPT response above:

Just Say No to Artificial Intelligence in Your Creative Pursuits, Please

From Chuck Wendig: Terrible Minds:

Art is about people.

This is obvious and simplistic on the face of it but I think it’s important to remind ourselves of this–

Art is about people.

It is by people. It is for people. Art — and by proxy, storytelling — is a conduit between the maker of the art and the witness to that art. I made this, the maker says, and they did so for myriad possible reasons. They did it because it was beautiful, because it was horrible, because it scared them or enraged them or titillated them, or some combination of all of that. They were driven to portray a thing, or subvert a thing, or invent a thing.

The art forms a connection. The witness to the art — the one on the other end of that connection — experiences it however they must. They relate to it. They rebuke it. They adore it. They obsess over it. They detest it even as they can’t look away. Art, story, music — they form this ephemeral thing that is a way for us to talk to each other metatextually, across spans of distance great and small, and even across time itself. We scream our strange creations out into the void in the hope of being heard. A signal that we’re not alone. And we witness art in much the same way: as a reminder that we are not alone.

. . . .

The introduction of so-called “artificial intelligence” — which, really, is just a keenly-designed high-tech mimeograph — has gunked up the conduit between artist and audience with great clotted gobs of digital snot. It’s a pipe crawling with the Too-Many-Fingers monsters waggling their many bent digits at you while screaming twee authorial pablum and dipshitted disinformation in your ear. It’s gunk. It’s a mess.

I’ve spoken before about how “artificial intelligence” is really about the fetishization of idea —

. . . .

Artificial intelligence isn’t a person. It’s not even really, despite how I describe it, a machine. It’s the representative of a company. It’s the tool of not just one corporation, but many.

And it only exists because real people did real art.

Without something to chew up, it has nothing to spit out.

It steals our stuff, milks it, and kicks it aside, then shows it proudly to the world as if it did anything other than bleed an actual artist dry. It turns the artist and the art into dirt, then just regrows stuff from that same earth.

It’s a thief.

Link to the rest at Chuck Wendig: Terrible Minds

PG says that Chuck reliably produces some of the best rants on the internet.

However, PG believes that AI is another tool an author may choose to use to write more easily/better in the same manner as typewriters were selected by some authors as preferable to fountain pens and word processors were selected by some authors as preferable to typewriters.

Does anybody want to get rid of SpellCheck or Grammarly because they’re a form of computerized writing assistance?

If AI works for you as a part of your writing toolkit, PG says you should use it. If you don’t like AI for any reason, don’t use it.

Seven Ways AI Will Impact Authors And The Publishing Industry

From Forbes:

For better or worse, artificial intelligence is poised to shake up the publishing industry. As a technologist who has authored over 50 books, I’ve been keen on its evolution in that space. From assisting in research to streamlining content creation and distribution, AI offers promising avenues for increased productivity and efficiency.

However, it also raises concerns about the preservation of human voice and original thought. In fact, with the increase in AI in content creation, we’ll soon see the pendulum swing the other way: Works may be labeled as “Non-AI,” just like we see “Non-GMO” in many food products. If you’re a thought leader looking to publish a book, you may be wondering how to leverage AI while avoiding its pitfalls.

. . . .

1. Assisted Research

It’s clear that generative AI tools like ChatGPT will have a significant impact on publishing. It won’t replace authors but rather make them more productive with aggregated research and synthesized content that can be tweaked to resemble the voice of the author. Of course, the risks associated with AI will introduce new fact-checking and authenticity processes. However, the benefits will outweigh the risks. – Mike Walker, Microsoft

2. AI-Powered Editing

Artificial intelligence is excellent at editing. I can see top authors leveraging AI to get their work output more efficiently and effectively with AI by reducing the time needed to edit their original creations. Unfortunately, I also believe we will see the rise of a lot of junk authors who can now quickly create mediocre work. – Rashmi Rao, RCubed Ventures

. . . .

4. Streamlined Content Creation, Distribution And Consumption

AI will impact authors by streamlining content creation, distribution, and consumption. While this may increase efficiency, it also poses a risk of diminishing the uniqueness of the human voice and original thought. Authors can leverage this trend by incorporating AI tools to enhance their work while keeping their own voices and perspectives. – Miguel Llorca, Torrent Group

5. Automated Text Analysis, Formatting And Translation

Certain laborious manual functions such as automated text analysis, formatting, personalization and translations can be automated. This allows authors to focus on their research and content. Publishing agencies can use AI to recommend better topics for authors based on its quick and wide capability to parse consumer needs. – Kiran Palla, AVS Academy

6. Greater Emphasis On Having A ‘Voice’

It will put a greater emphasis on having a “voice.” AI is excellent at putting together cogent, but ultimately lifeless, writing. Authors who have good ideas and execution but lack the human touch will be most impacted by AI-generated writing. As a writer, you should always focus not just on your argument, but what you—the human behind it—bring to the process. – Lewis Wynne-Jones, ThinkData Works

Link to the rest at Forbes

The Queen of Romance in AI

PG promises this is the last of today’s AI writing posts.

Prompt: Provide a fictional plot outline in Danielle Steel’s style and themes.

ChatGPT4

Title: “Shadows of Yesterday”

Plot Outline:

  1. Setting and Introduction:
    • The story unfolds in modern-day New York City.
    • Introduce the protagonist, Isabella, a young, ambitious, and successful magazine editor facing personal and professional challenges.
  2. Isabella’s Background:
    • Isabella comes from a wealthy, but emotionally distant family.
    • Flashbacks reveal her struggles with her demanding and critical mother, shaping her relentless drive for perfection.
  3. Career Challenges:
    • Isabella is up for a major promotion, but faces stiff competition and workplace politics.
    • Her professional life is a whirlwind of high-profile events, glamorous parties, and celebrity interviews, masking her inner turmoil.
  4. Romantic Entanglements:
    • Isabella’s love life is complicated, caught between a comfortable but unexciting relationship with a longtime friend and a passionate, unpredictable affair with a charismatic entrepreneur.
  5. Family Crisis:
    • A sudden family tragedy forces Isabella to reevaluate her life choices.
    • She returns home to confront unresolved issues with her family, particularly her mother.
  6. Self-Discovery and Growth:
    • Through these trials, Isabella embarks on a journey of self-discovery.
    • She begins to understand the importance of balance in life and starts to question her relentless pursuit of success.
  7. New Love Interest:
    • Amidst her personal growth, Isabella meets a new love interest – someone who challenges her perspectives and offers a more authentic and supportive relationship.
  8. Climactic Decision:
    • Faced with a pivotal career decision, Isabella must choose between her lifelong ambition and a chance at genuine happiness.
    • This decision is complicated by a surprise revelation related to her family’s past.
  9. Resolution:
    • Isabella makes a bold decision that prioritizes her personal happiness and true self over societal expectations.
    • The story concludes with her embarking on a new path, finding a balance between her career ambitions and personal life.
  10. Themes:
    • The narrative weaves through themes of self-discovery, the complexity of family dynamics, the pursuit of success, and the search for love and personal fulfillment.
    • It highlights the often difficult choices women face in balancing career, family, and romance.

This fictional outline is inspired by Danielle Steel’s style, known for her emotionally rich stories that explore family, relationships, and personal growth set against the backdrop of contemporary life. The plot combines elements of romance, drama, and self-discovery, typical of Steel’s bestselling novels

End of ChatGPT4

Since PG is not an expert on the works of Ms. Steel, he’ll leave comments on the accuracy of the plot outline to those who are.

For PG, this series of “Provide a fictional plot outline in (well-known author’s) style and themes” AI experiments is the first indication that AI might be a potentially-useful tool for authors.

It strikes him that AI might be helpful for beginning authors writing in various genres. PG checked the Romance Writers of America website and this is part of what he found:

The Basics

Romance fiction is smart, fresh and diverse. Whether you enjoy contemporary dialogue, historical settings, mystery, thrillers or any number of other themes, there’s a romance novel waiting for you!

Definition

Two basic elements comprise every romance novel: a central love story and an emotionally satisfying and optimistic ending. 

A Central Love Story: The main plot centers around individuals falling in love and struggling to make the relationship work. A writer can include as many subplots as they want as long as the love story is the main focus of the novel.

An Emotionally Satisfying and Optimistic Ending: In a romance, the lovers who risk and struggle for each other and their relationship are rewarded with emotional justice and unconditional love. 

Romance novels may have any tone or style, be set in any place or time, and have varying levels of sensuality—ranging from sweet to extremely hot. These settings and distinctions of plot create specific subgenres within romance fiction. 

The same types of expected elements can be found in all the genre fiction that floats into PG’s mind – fantasy, sci-fi, YA, horror, mysteries, etc. His is impression from his personal AI experiments is that one of the things AI can do is generate some interesting ideas for rules-based subjects.

Hemingway Revived

After his AI experience with Zadie Smith, PG decided to try something similar with a dead author.

Prompt: Provide a fictional plot outline in Ernest Hemingway’s style and themes.

ChatGPT4 Response:

Title: “The Unyielding Current”

Plot Outline:

  1. Setting and Introduction:

    • The story is set in the mid-20th century, primarily in a small fishing village on the coast of Cuba.
    • Introduce the protagonist, Santiago, an aging and experienced fisherman, stoic and introspective.
  2. Santiago’s Struggle:

    • Santiago has been experiencing a prolonged streak of bad luck, having not caught a significant fish for weeks.
    • This struggle is a point of gossip among the villagers, though Santiago remains determined and uncomplaining.
  3. Man vs. Nature:

    • Santiago embarks on a fishing trip alone, determined to break his unlucky streak.
    • He ventures farther out to sea than usual, showcasing his knowledge and respect for the ocean.
  4. The Great Marlin:

    • Santiago hooks a massive marlin, beginning a multi-day struggle between man and nature.
    • This battle is not just physical but also a mental and existential one, reflecting Santiago’s deep contemplation of life and his place in the world.
  5. Santiago’s Reflections:

    • As the struggle with the marlin continues, Santiago reflects on his past, his triumphs and losses, and the nature of existence.
    • Themes of solitude, heroism, and the relentless passage of time are explored.
  6. The Turning Point:

    • After an arduous battle, Santiago finally reels in the marlin, a symbol of his personal victory against the odds.
    • However, his triumph is short-lived as sharks are attracted to the marlin’s blood.
  7. The Final Battle:

    • Santiago fights the sharks with all his might, but they devour the marlin, leaving only its skeleton.
    • This battle symbolizes the inevitable nature of loss and defeat, regardless of one’s strength or will.
  8. Return and Resolution:

    • Santiago returns to the village, exhausted and defeated, yet there’s a subtle sense of triumph in his resilience.
    • The villagers, who once doubted him, now look upon him with a newfound respect.
  9. Themes:

    • The story embodies Hemingway’s distinctive themes: the dignity found in human struggle, the relationship between man and nature, and the inevitability of death.
    • It also reflects Hemingway’s style of straightforward prose and his iceberg theory of omission.

This fictional outline is inspired by Ernest Hemingway’s narrative style and thematic focus, reminiscent of his celebrated work “The Old Man and the Sea”. It incorporates his characteristic exploration of themes such as strength, resilience, and the unyielding challenge of nature, all presented in a simple, yet profound narrative style.

End of ChatGPT4 Response

Law firms are throwing legal spaghetti at the wall to take down gen-AI, but judges are so far unimpressed

From The New Publishing Standard:

Law suits against AI companies abound, and no question there are some valid issues that need settling in court, but already it’s beginning to feel like lawyers are just throwing spaghetti at the wall and hoping some strands stick.
Is this really what the publishing industry wants or needs?

Over at Publishers Weekly this week, Andrew Albanese summarises two on-going law suits against the alleged AI copyright thieves, and in both cases a judge has thrown out parts of the claims because they have no merit.

While the judge in one case has left the door open for revised claims – perhaps a nod to the fact that the law as stands was never written with AI in mind – the quick dismissal of some of the claims is a severe blow to the many in the AI Resistance camp who are citing as fact allegations of copyright theft, despite, as Albanese notes, many lawyers stating well in advance that the claims were not well-grounded in law.

From PW back in July:

Multiple copyright lawyers told PW on background that the claims likely face an uphill battle in court. Even if the suits get past the threshold issues associated with the alleged copying at issue and how AI training actually works—which is no sure thing—lawyers say there is ample case law to suggest fair use.”

PW offers several examples of why, that in the interests of the fair use clause I’ll leave to you to click through and read, and instead conclude the summary of that PW article with this quote:

 ‘I just don’t see how these cases have legs,’ one copyright lawyer bluntly told PW. ‘Look, I get it. Somebody has to make a test case. Otherwise there’s nothing but blogging and opinion pieces and stance-taking by proponents on either side. But I just think there’s too much established case law to support this kind of transformative use as a fair use.’ “

The July lawsuit came under scrutiny from TNPS at the time.

. . . .

The proposed class action suit before Chhabria was filed on July 7 by the Joseph Saveri Law Firm on behalf of authors Christopher Golden, Richard Kadrey, and comedian Sarah Silverman, just days after the Saveri firm filed a similar suit on behalf of authors against Open AI, with authors Paul Tremblay and Mona Awad as named plaintiffs.”

. . . .

In each case the law suits make the spurious claim that AI is generating writing in the style of an author or providing in-depth analysis of a published book, and that it does so by illegally copying an original work for its “training.”

For anyone who isn’t irrationally opposed to the very concept of AI and therefore clutching at any straw to attack it, the idea that it is a crime for an author to write in the style of another is as laughable as the idea that an author who learned their trade by reading other authors’ books has committed a crime.

What next? A lawsuit claiming an author has no spelling mistakes so they must have plagiarised a dictionary?

Link to the rest at The New Publishing Standard

Raskolnikov Updated

Prompt:

Provide a detailed character sketch of Rodion Raskolnikov updated for 2023

From GPT4:

Updating the character of Rodion Raskolnikov from Fyodor Dostoevsky’s “Crime and Punishment” for a 2023 context involves reimagining his background, motivations, and conflicts to resonate with contemporary themes and issues. Here’s a detailed character sketch for a modern-day Raskolnikov:

Name: Rodion “Rodya” Raskolnikov

Background

  • Age: Late 20s.
  • Education: A brilliant former student of psychology, who dropped out of a prestigious university due to financial constraints and disillusionment with the academic system.
  • Family: Comes from a lower-middle-class family. His mother is a school teacher, and he has a younger sister who is struggling to find her footing in a competitive job market.
  • Location: Lives in a modest apartment in a large, culturally diverse city.

Personality Traits

  • Intellectually Gifted: Possesses a sharp intellect and often engages in philosophical musings about society and morality.
  • Isolated: Tends to isolate himself from others, preferring his own company and thoughts.
  • Altruistic Yet Egotistical: Displays moments of genuine compassion, especially towards his family, but is also deeply egocentric, believing himself to be morally and intellectually superior.
  • Anxious and Paranoid: Exhibits signs of anxiety and paranoia, particularly after committing his crime.

Modern Adaptation

  • Occupation: Works part-time in a mundane job, possibly in data entry or as a delivery driver, which he finds unfulfilling. In his spare time, he writes blogs and essays on social and ethical issues.
  • Financial Struggles: His financial difficulties are a significant source of stress, driving him to question the social structures and disparities in wealth and power.
  • Crime: Raskolnikov’s crime in 2023 could involve hacking into a corrupt corporation’s system or committing a cybercrime against a morally dubious business tycoon, believing his actions are justified to expose or dismantle corrupt power structures.
  • Mental Health: Struggles with his mental health, experiencing guilt and internal conflict post-crime, which leads him into a psychological downward spiral.

Relationships

  • Family: Feels a deep sense of responsibility and guilt over his inability to financially support his mother and sister.
  • Friends: Has few close friends but maintains some online connections with individuals who share his ideological views.
  • Romantic Interest: Could have a complicated relationship with a character akin to Sonya, who in this adaptation might be a social worker or counselor, representing empathy and moral clarity.

Conflicts

  • Internal: Grapples with guilt, moral justification of his actions, and a sense of isolation from society.
  • External: Faces the consequences of his crime in the digital age, dealing with law enforcement and the societal fallout of his actions.

Development

  • Journey: Raskolnikov’s journey involves confronting the reality of his actions, grappling with the moral and ethical implications, and ultimately seeking redemption.
  • Resolution: His resolution could involve turning himself in and accepting the legal consequences of his actions, symbolizing his acceptance of societal laws and moral boundaries.

In this 2023 adaptation, Raskolnikov is a complex character who embodies the struggles of modern society, including financial instability, the ethical dilemmas posed by technology, and the quest for moral grounding in an increasingly complex world. His story reflects contemporary issues of social justice, mental health, and the search for meaning in a digital age.

End of GPT4

As he reviewed the AI’s response, PG had to admit that his detailed recollection of Raskolnikov’s character traits had faded into the mists of time.

He’ll need to rely on the colorfast recollections of visitors to TPV to assess how GPT4 did with this challenge. He understands several movies based on the novel have been released, but hasn’t seen any of those either, so his mind is tabula rasa on the plot.

Gone with the Wind – 2023

Prompt: Prepare a detailed outline of an adaptation of Gone with the Wind set in 2023

From ChatGPT4:

Adapting “Gone with the Wind” to a contemporary setting of 2023 requires thoughtful reimagining while maintaining the essence of the original story. Here’s a detailed outline for such an adaptation:

Title: “Gone with the Wind: 2023”

Setting

  • Location: Atlanta, Georgia, and surrounding areas, with a modern urban and suburban backdrop.
  • Time: Present day, focusing on the social, economic, and political dynamics of 2023.

Characters

  • Scarlett O’Hara: A young, ambitious entrepreneur in the tech industry, known for her beauty, intelligence, and relentless drive.
  • Rhett Butler: A charismatic venture capitalist with a mysterious past and a knack for risk-taking in both business and personal life.
  • Ashley Wilkes: An idealistic environmental activist and Scarlett’s long-time crush, who struggles to balance his ideals with practicality.
  • Melanie Hamilton: A compassionate, understanding social worker, married to Ashley, and a close friend to Scarlett.

Plot Overview

  1. Introduction:
    • Scarlett’s World: Introduce Scarlett’s life in modern Atlanta, her tech startup, and her unrequited love for Ashley.
    • Social Context: Touch on contemporary issues such as climate change, economic inequality, and technological advancements.
  2. Rising Tensions:
    • Business and Romance: Scarlett’s company faces financial difficulties. She meets Rhett at a fundraising event, sparking a complicated relationship.
    • Ashley’s Dilemma: Ashley is torn between his environmental activism and the pressures to conform to a more traditional career path.
  3. Climax:
    • Business Crisis: Scarlett’s company is on the brink of collapse. She turns to Rhett for help, leading to a controversial business deal.
    • Romantic Conflicts: Scarlett’s feelings for Ashley resurface, causing tension with Rhett and Melanie.
  4. Falling Action:
    • Personal Growth: Scarlett starts to realize the importance of balancing ambition with ethics and compassion.
    • Relationship Strains: Rhett feels neglected by Scarlett’s obsession with Ashley and her career.
  5. Conclusion:
    • Resolution: Scarlett makes a significant decision about her professional and personal life, choosing her own path over her longstanding pursuit of Ashley.
    • Rhett’s Departure: Rhett decides to leave Scarlett, leading to her famous realization of self-reliance and determination to rebuild her life.

Themes

  • Modern Feminism: Exploration of a woman’s role in a high-powered, male-dominated business world.
  • Technology vs. Environment: The clash between technological advancement and environmental conservation.
  • Personal vs. Professional Life: The struggle to maintain personal relationships while pursuing ambitious career goals.
  • Adaptation and Resilience: How characters adapt to the rapidly changing world around them.

Visual Style

  • Cinematography: A mix of sleek, modern cityscapes and lush, natural landscapes to contrast the worlds of technology and environmentalism.
  • Costume Design: Contemporary fashion, reflecting the status and personalities of characters in a modern setting.

Soundtrack

  • A blend of modern and classical music, capturing the emotional depth and complexities of the story in a contemporary context.

This adaptation maintains the core narrative of “Gone with the Wind” while updating its setting and themes to reflect modern societal and cultural issues.

End of ChatGPT4

PG will allow visitors to determine if the outline shows a useful amount of creativity or not.

If he had tasked himself to produce a similar document, PG admits he would not have considered the Soundtrack.

Sarah Silverman Hits Stumbling Block in AI Copyright Infringement Lawsuit Against Meta

From The Hollywood Reporter:

A federal judge has dismissed most of Sarah Silverman‘s lawsuit against Meta over the unauthorized use of authors’ copyrighted books to train its generative artificial intelligence model, marking the second ruling from a court siding with AI firms on novel intellectual property questions presented in the legal battle.

U.S. District Judge Vince Chhabria on Monday offered a full-throated denial of one of the authors’ core theories that Meta’s AI system is itself an infringing derivative work made possible only by information extracted from copyrighted material. “This is nonsensical,” he wrote in the order. “There is no way to understand the LLaMA models themselves as a recasting or adaptation of any of the plaintiffs’ books.”

Another of Silverman’s arguments that every result produced by Meta’s AI tools constitutes copyright infringement was dismissed because she didn’t offer evidence that any of the outputs “could be understood as recasting, transforming, or adapting the plaintiffs’ books.” Chhabria gave her lawyers a chance to replead the claim, along with five others that weren’t allowed to advance.

Notably, Meta didn’t move to dismiss the allegation that the copying of books for purposes of training its AI model rises to the level of copyright infringement.

The ruling builds upon findings from another federal judge overseeing a lawsuit from artists suing AI art generators over the use of billions of images downloaded from the Internet as training data. In that case, U.S. District Judge William Orrick similarly delivered a blow to fundamental contentions in the lawsuit by questioning whether artists can substantiate copyright infringement in the absence of identical material created by the AI tools. He called the allegations “defective in numerous respects.”

Some of the issues presented in the litigation could decide whether creators are compensated for the use of their material to train human-mimicking chatbots that have the potential to undercut their labor. AI companies maintain that they don’t have to secure licenses because they’re protected by the fair use defense to copyright infringement.

According to the complaint filed in July, Meta’s AI model “copies each piece of text in the training dataset” and then “progressively adjusts its output to more closely resemble” expression extracted from the training dataset. The lawsuit revolved around the claim that the entire purpose of LLaMA is to imitate copyrighted expression and that the entire model should be considered an infringing derivative work.

But Chhabria called the argument “not viable” in the absence of allegations or evidence suggesting that LLaMA, short for Large Language Model Meta AI, has been “recast, transformed, or adapted” based on a preexisting, copyrighted work.

Another of Silverman’s main theories — along with other creators suing AI firms – was that every output produced by AI models are infringing derivatives, with the companies benefiting from every answer initiated by third-party users allegedly constituting an act of vicarious infringement. The judge concluded that her lawyers, who also represent the artists suing StabilityAI, DeviantArt and Midjourney, are “wrong to say that”  — because their books were duplicated in full as part of the LLaMA training process — evidence of substantially similar outputs isn’t necessary.

Link to the rest at The Hollywood Reporter

Stability AI exec leaves amid concerns over ‘fair use’ disagreement with $101m startup

From Yahoo Finance – UK:

A top exec at a British artificial intelligence (AI) startup has resigned because he is opposed to the company’s method of using copyrighted work to train its model without payment or permission from the owner.

Stability AI head of audio, Ed Newton-Rex said in a lengthy post on X he is stepping down because he disagrees “with the company’s opinion that training generative AI models on copyrighted works is ‘fair use’”.

The London-headquartered startup uses generative AI to create text, images, music and video from descriptive prompts typed in by a human.

However, it has sparked controversy because it sweeps data indiscriminately to train its open-source model.

Newton-Rex, who says he is also a music composer, continued: “For those unfamiliar with ‘fair use’, this claims that training an AI model on copyrighted works doesn’t infringe the copyright in those works, so it can be done without permission, and without payment.

“This is a position that is fairly standard across many of the large generative AI companies, and other big tech companies building these models — it’s far from a view that is unique to Stability. But it’s a position I disagree with.”

He is not the only one to disagree. Getty Images has accused Stable Diffusion, a generative AI model developed by Stability AI, of unlawfully scraping over 12m images owned by Getty to train its models.

The media company has asked Delaware’s federal court to order Stability to stop using its pictures and wants what could amount to $1.8 trillion in damages, according to Fortune.

Stability AI is the brainchild of Oxford graduate Emad Mostaque and has raised $101m (£82.3m) in a funding round led by Coatue, Lightspeed Venture Partners and O’Shaughnessy Asset Management.

In reply to Newton-Rex on X, Mostaque wrote: “Was great working with you & this is an important discussion. The considered input we gave to the Copyright Office on why we believe fair use supports creative development is here.“

Link to the rest at Yahoo Finance – UK

Google Arts & Culture

PG discovered the Google Arts & Culture site earlier this morning. It’s quite an extensive site and a definite threat to suck away a lot of time, but is nicely-done.

One of the site’s interesting features is listed as experimental. It’s called Poem Postcards. This location allows you to select a postcard based upon a classic painting, then use an AI to write a poem about it, then email the painting/poem to a friend.

Here’s a link to a poem postcard PG just created.

What are the best ways for an author to use AI to write a book?

From ChatGPT:

Prompt: What are the best ways for an author to use AI to write a book?

ChatGPT Response:

Incorporating AI into the book writing process can be a great asset for an author. Here are some of the best ways to use AI in this creative endeavor:

  1. Idea and Concept Generation: AI can help brainstorm ideas for your book, including themes, plot elements, character concepts, and settings. Feeding the AI specific genres or themes can yield creative and unexpected suggestions, which can inspire or enhance your own ideas.
  2. Outline and Structure Development: AI can assist in structuring your book. By providing a basic plot or concept, AI can suggest a detailed outline, helping to organize the narrative flow and ensuring a cohesive structure for your story.
  3. Character Development and Dialogue: AI can generate character profiles, including backstories, traits, and motivations, based on initial inputs. It can also suggest dialogue, offering different styles and tones to match the characters and situations.
  4. Writing and Editing Assistance: AI can be used for drafting certain sections or chapters. You can provide a brief and let the AI generate a draft, which you can then refine. AI tools are also helpful for grammar checking, style improvement, and suggesting alternative phrasings.
  5. Research Support: For books requiring extensive research, AI can quickly sift through large volumes of data to find relevant information, saving time and ensuring accuracy.
  6. Genre-Specific Assistance: Depending on the genre of your book, AI can provide genre-specific assistance. For instance, in science fiction, it can generate futuristic technology or alien species; for historical fiction, it can provide historical details and context.
  7. Feedback and Revision: Some AI tools can analyze your writing and provide feedback on aspects like pacing, tension, and character development. This can be particularly useful during revisions.
  8. Interactive Elements: For more experimental authors, AI can help create interactive or branching narratives, particularly for digital formats where readers choose different paths through the story.
  9. Title and Blurb Creation: Coming up with a compelling title and blurb can be challenging; AI can generate multiple options based on your book’s content and themes.
  10. Market Research and Publishing Strategy: AI can analyze market trends and reader preferences, helping you position your book effectively in the market.

While AI can greatly assist in the book writing process, it’s important to remember that it serves as a tool to augment the author’s creativity and vision, not replace it. The unique voice, perspective, and imagination of the author remain irreplaceable in crafting a compelling and meaningful story.

AI Prompt/Response of the Day

Prompt:

In a time when information is instantly available and content creation is a few clicks away, academic integrity can easily become a gray area for students. Explicitly teaching skills and concepts associated with academic integrity and providing feedback throughout the research and writing process can build a culture of academic honesty in classrooms.

ChatGPT Response:

You’re absolutely right. In the digital age, where information is abundant and easily accessible, maintaining academic integrity has become both more challenging and crucial. Here are some strategies educators can employ to foster a culture of academic honesty:

  1. Educate About Academic Integrity: Clearly define what constitutes plagiarism, cheating, and other forms of academic dishonesty. Ensure students understand the importance of citing sources and the proper ways to do so.
  2. Use Technology Wisely: Employ plagiarism detection software to check student work. This not only helps in identifying potential issues but also acts as a deterrent against dishonest practices.
  3. Encourage Original Thought: Design assignments and assessments in a way that encourages students to think independently and apply their understanding, rather than just repeating information found online.
  4. Provide Resources for Research and Citation: Offer students access to resources on how to conduct research ethically and cite sources correctly. This could be through workshops, guides, or online tools.
  5. Model Academic Integrity: Teachers and faculty should lead by example, demonstrating integrity in their own work and interactions.
  6. Create a Supportive Environment: Build a classroom culture where students feel comfortable asking for help and understand that making mistakes is part of the learning process. This can reduce the pressure to achieve perfection through dishonest means.
  7. Personalize Learning: Tailor assignments to individual student interests where possible. Personal connection to a topic can motivate students to engage deeply and honestly with the material.
  8. Frequent Feedback and Drafts: Incorporate multiple stages of feedback and revision in assignments. This process helps students improve their work and understand the value of iterative learning, reducing the temptation to submit dishonest work.
  9. Discuss the Consequences: Make students aware of the academic and professional consequences of academic dishonesty. Understanding the long-term impact can discourage them from taking such risks.
  10. Collaborative Learning: Encourage group work and peer reviews. Collaboration can build a community of learning and integrity among students.

By integrating these strategies, educators can help create an academic environment where integrity is understood, valued, and practiced.

Grammarly

PG watched a Grammarly for Business Webinar earlier today and was very impressed by what the company showed with respect to AI writing.

Per the demos, Grammarly has taken AI to a higher plane than PG has seen before. Features that impressed him were:

  • Analysis of the user’s writing voice to help Grammarly be more helpful in shaping future creations for a variety of purposes.
  • The ability to have Grammarly go through a document you or someone else has written, summarize it, and use it as a sort of electronic style guide in the future
  • The ability to assist in quick creation of documents for a wide variety of purposes, blog posts, text messages, emails, etc. In at least some uses, Grammarly will create the appropriate format for the written message, for example by creating and inserting bullet points from a longer text.

For the moment, it looks like the super AI will be limited to Grammarly for Business, which is an enterprise-scale program.

PG looked for an online link to a recorded version of the webinar but was unable to find it. If visitors to The Passive Voice can locate one, feel free to include a link in the comments to this post.

Did a computer write this? Book industry grapples with AI

From Today Online:

From low-quality computer-written books flooding the market to potential copyright violations, publishing is the latest industry to feel the threat from rapid developments in artificial intelligence (AI).

Since the launch last year of ChatGPT, an easy-to-use AI chatbot that can deliver an essay upon request within seconds, there have been growing worries about the impact of generative AI on a range of sectors.

Among book industry players there is “a deep sense of insecurity”, said Juergen Boos, director of the Frankfurt Book Fair, the world’s biggest, where the topic was in focus last week.

They are asking, “What happens to authors’ intellectual property? Who does new content actually belong to? How do we bring this into value chains?” he said.

The threat is plain to see — AI writing programmes allow budding authors to produce in a matter of day novels that could in the past have taken months or years to write.

A flood of titles that list ChatGPT as a co-author has been offered for sale through Amazon’s e-book self-publishing unit.

Still, critics say the works are of low quality and sense little threat from AI for now.

British author Salman Rushdie told a press conference at the fair that recently someone asked an AI writing tool to produce 300 words in his style.

“And what came out was pure garbage,” said the Midnight’s Children writer, to laughter from the audience.

“Anybody who has ever read 300 words of mine would immediately recognise that it could not possibly be by me.””So far I’m not that alarmed,” he added, during a rare public appearance since a near-fatal stabbing attack last year in the United States.

Jennifer Becker, a German author and academic, echoed his sentiments, telling a panel discussion that the results when it comes to AI writing fiction “are still not that great”. 

“There is a lot of potential to use it — to use it collaboratively. 

“But I still don’t see the point where we really hand over the writing work to AI completely autonomously. That wouldn’t make for an interesting book.”

. . . .

Industry players stress however that in some areas there is more openness to dealing with artificial intelligence.

“It depends a bit on the genre,” said Susanne Barwick, deputy legal adviser of the German Publishers and Booksellers Association, who has been in discussion about AI with publishers. 

“The field of science and specialist books is already further along and has already dealt with it more.”

These areas were “easier than the field of fiction, where I think at the moment people still tend to look a bit more at the risks”, she added. 

Artificial intelligence’s relationship with publishing threatens to throw up a host of legal problems, with one major “grey area” being who owns the copyright of AI-generated content, said fair director Boos. 

“Then you get into a real mess, and it is a huge theme. There is also really a lot of money involved,” he said.

. . . .

Last month, Game of Thrones author George RR Martin, John Grisham and Jodi Picoult were among several writers who filed a class-action lawsuit against ChatGPT creator OpenAI over alleged violation of copyrights.

Along with the Authors Guild, an organisation representing writers, they accused the California-based company of using their books “without permission” to train ChatGPT’s “large language models”, algorithms capable of producing human-sounding text responses based on simple queries, according to the lawsuit.

Translation is another thorny area, with some industry players feeling artificial intelligence would miss the nuances and subtleties needed to render complex literature into other languages.

Link to the rest at Today Online

The best AI tools to make you a better writer

From Fast Company:

You’ll soon see AI in most writing tools. Canva, Notion, Craft, Coda, and other popular writing services have been racing to add new AI features. Google Docs added a new AI-driven summarization feature. Read on for what AI can do for you, where the hype goes too far, and a few recommended tools to try.

. . . .

AI TOOLS TO TRY

  • Lex. I love its simplicity. It’s designed specifically for individual writers, not marketers, technologists or corporate teams. It doesn’t make braggadocious claims, just helps writers in subtle ways.

    Lex draws on the same OpenAI engine as Canva Docs but lacks its visual features. It’s useful if you write often but don’t need the 150 menu options available in Microsoft Word. For now, Lex is free, with a waitlist for access. For now, Lex is free, with a waitlist for access.

    Still in private beta, it already has great features, including:
    • title generator to suggest headlines for whatever you’re writing.
    • question answerer to respond concisely to factual queries.
    • A paragraph writer that assesses what you’ve written and suggests a relevant next paragraph or bullet-points that build on your argument. It can also help remind you of blind spots in your writing by listing topics, facts or issues you may have accidentally ignored.
    • Writing stats to track productivity.
  • ChatGPT isn’t a writing service per se, but it’s a helpful way to challenge your own thinking by seeking out AI explanations of complex issues. More than a million people have already signed up to chat with this remarkable chatbot that answers questions with an eerily human touch.
  • Craft.do has the best-designed implementation of any of the AI writing tools I’ve seen so far. You hit / and it gives you some options for adding directly into whatever doc you’re working on. It works on the Mac and Windows apps, on the Web and on iOS.

    You can use the AI feature to summarize or explain something; create an outline; write a pros and cons list; generate keywords or hashtags; suggest a title; add to something you’ve written; or translate your text into English, Spanish, French, Italian, German, Dutch, Portuguese, Korean or Japanese. It can stray beyond those features. I asked it to generate a limerick about AI, which you’ll see in this AI-generated document it spun out of my testing.
  • Canva Docs calls its AI feature Magic Write, which I mentioned in my piece last week. It joins another Canva AI tool that lets you generate images by typing in a text prompt, and a magic resizing tool that will adjust your image to fit whatever dimensions you need. Those first two AI features are free.
  • Copy.ai is useful for generating marketing materials.

    To test it I typed in some keywords about the Wonder Tools newsletter. It generated surprisingly decent marketing copy employing the Pain/Problem-Agitate-Solution framework.

    It didn’t, of course, generate the time or expertise required to figure out a marketing strategy. For non-marketers, though, AI-generated text can provide a helpful starting point.

    You can also use it to generate YouTube titles and descriptions, Instagram captions, TikTok video ideas, Facebook ad text, and various other formats.

Link to the rest at Fast Company

Much Ado About AI: Why I Built a Tool to Modernize Shakespeare’s Verse

From School Library Journal:

There’s a good argument that Shakespeare is the world’s most popular author. About 90 percent of American schools assign Shakespeare to students. His work has been translated into more than 100 languages. Declare “To be or not to be,” and most will answer, “That is the question.” The Bard’s work is widely integrated across culture, education, and the modern English language. Despite this, people find Shakespeare hard. Some might even say too hard.

In a recent survey of 500 teachers, 56 percent said their students found Shakespeare difficult to read. Of these teachers, 60 percent said the Elizabethan language was the biggest obstacle for students reading the plays. The themes of love, betrayal, and ambition are timeless—but maybe Elizabethan English isn’t. For many first-time readers, Shakespeare’s plays are full of unfamiliar words, phrasing, and grammatical constructions.

This reported difficulty with the language shouldn’t be viewed as a problem with Shakespeare. Elizabethan English didn’t suddenly become dated in 2023. It’s been unfamiliar and antiquated to readers for many decades. But increasingly, the language is a barrier to new readers starting a love affair with the material.

Here, in my view, artificial intelligence (AI) offers a unique benefit: facilitating the reading experience of Shakespeare’s works. Large language models (LLMs: the AI systems that power popular products like ChatGPT) have exciting potential to help people read older texts with relative ease.

If you provide AI models with text, they can instantaneously synthesize, explain, and contextualize it. They offer definitions of words, historical context, and other details that might escape a modern reader. If you’re reading War and Peace and have a foggy sense of Russian history, running a passage through an AI model quickly provides bullet points on Napoleon’s invasion of Russia as well as definitions of period-specific terms.

AI can also accurately paraphrase Elizabethan language into modern English so readers can understand any line of Shakespeare. This strategy isn’t intended as a substitute for reading the original text, but as a “reading copilot” on hand to help.

Bard-themed AI tools are gaining popularity. One I created, Shakespeare Translator, has been used by over 50,000 readers. These AI models aren’t deterministic systems with pre-written translations mapped to certain lines. Rather, the tools use LLMs to analyze the context and language patterns, providing modern interpretations.

Many are quick to critique AI-powered reading tools. The arguments essentially center on the idea that using AI waters down the joy and rewards of reading. But using AI isn’t about replacing reading. It’s about helping more people appreciate difficult material, more readily, and with fewer barriers to entry.

. . . .

How useful are these translations? Are they accurate? Do they actually help students grasp the meaning of lines? Judge for yourself.

Here’s the original text of the famous Hamlet speech
“To be, or not to be, that is the question: Whether ’tis nobler in the mind to suffer the slings and arrows of outrageous fortune, or to take arms against a sea of troubles and by opposing end them. To die; to sleep; No more; and by a sleep to say we end the heart-ache and the thousand natural shocks that flesh is heir to.”

Run through a Shakespeare translation tool, this is paraphrased to
“The big question is whether it’s better to keep on living or to end it all. Is it nobler to endure the hardships and misfortunes that life throws at us, or to fight against all the problems that come our way and put an end to them? Death would mean eternal rest and therefore an escape from the pain and suffering that life brings us.”

Or consider this from Richard III
“Now is the winter of our discontent made glorious summer by this sun of York; And all the clouds that lour’d upon our house in the deep bosom of the ocean buried.”

Paraphrase
“Our unhappiness has now turned into joy due to the presence of the ruler from York; and all of our worries and troubles are now in the past.”

Link to the rest at School Library Journal

Here’s a link to  Shakespeare Translator

PG’s Borrowed Thoughts:

The dumbing down of American is most evident in the slow decay of substantive content in the enormously influential media, the 30 second sound bites (now down to 10 seconds or less), lowest common denominator programming, credulous presentations on pseudoscience and superstition, but especially a kind of celebration of ignorance.

Carl Sagan

Your Daily Bard

PG is going to play with Google Bard for a bit to see how it might perform as an assistant to an author.

He recognizes that Bard is most definitely a work in progress and is not in the same league as even a mediocre author.

PG will do this off and on for a bit. If you think it is a boring mistake, feel free to skip it and/or contact PG to tell him to stop wasting your time.

Below, you’ll find PG’s prompt and three alternative responses from Bard.

Prompt: Write the first chapter of a contemporary spy thriller set in New York City

First Response

Chapter 1

The city lights twinkled like stars in the night sky as Anya slipped through the shadows of Central Park. She was dressed in black, her movements silent and precise. She had been trained to be invisible, to blend into the background and disappear at a moment’s notice.

Tonight, she was on a mission.

She had received a tip from her handler, a mysterious man named Raven, that a high-stakes arms deal was going down in the park. Anya was tasked with infiltrating the deal and gathering as much intelligence as possible.

She made her way to the clearing where the deal was supposed to take place. It was deserted, save for a few pigeons roosting in the trees. Anya waited patiently, her senses on high alert.

After a few minutes, she heard the sound of footsteps approaching. She ducked behind a tree and watched as two figures emerged from the darkness. They were both men, dressed in expensive suits and sunglasses.

One of the men carried a briefcase. Anya’s heart skipped a beat. She knew that briefcase contained the weapons that were the subject of the deal.

The two men stopped in the middle of the clearing. They exchanged a few words, then the man with the briefcase opened it and revealed a cache of weapons inside.

Anya watched as the other man inspected the weapons. He seemed satisfied. He nodded to the man with the briefcase, then reached into his jacket pocket.

Anya knew what was coming next. The other man was about to pay for the weapons. She had to act fast.

She burst out from behind the tree and tackled the man with the briefcase to the ground. The other man spun around, his hand reaching for a gun.

Anya was quicker. She drew her own gun and pointed it at the man’s head.

“Freeze!” she ordered.

The man froze, his eyes wide with fear.

Anya turned to the man on the ground. He had dropped the briefcase and was now struggling to get up.

“Don’t move,” she warned.

She walked over to the briefcase and opened it. Inside, she saw a variety of weapons, including assault rifles, handguns, and grenades.

Anya knew that this was a major bust. She had stopped a dangerous arms deal and prevented these weapons from falling into the wrong hands.

But she also knew that her work was far from over. The people behind this deal were still out there, and they would be looking for her.

She had to get out of here, and fast.

She turned to the two men. “You’re both under arrest,” she said.

She handcuffed them both and then called for backup.

A few minutes later, a police car arrived. Anya briefed the officers on what had happened, and they took the two men into custody.

Anya watched as the police car drove away. She took a deep breath and sighed with relief. She had done it. She had stopped the arms deal and saved the day.

But she knew that this was just the beginning. The real danger was still out there.

She turned and walked away, disappearing into the shadows of Central Park.


Second Response

Chapter 1

The night was cold and blustery, the wind whipping through the streets of New York City like a banshee. A lone figure stood in the shadows of a doorway, hunched against the cold. His eyes scanned the street, alert for any sign of trouble.

The man’s name was Alex Stone, and he was a spy. He worked for the CIA, and he was very good at his job. But tonight, he was worried. He had been tasked with a dangerous mission, and he knew that the stakes were high.

Alex’s mission was to infiltrate a secret meeting of a group of terrorists who were planning an attack on the United States. The terrorists were meeting in a penthouse apartment on the Upper East Side of Manhattan, and Alex had managed to get himself invited.

But now, as he stood in the doorway, he was having second thoughts. He knew that the terrorists were dangerous, and he wasn’t sure if he was ready to face them. But he also knew that he couldn’t back out now. The lives of innocent people were at stake.

Alex took a deep breath and stepped out of the doorway. He walked down the street, blending in with the crowd. He kept his head down and his eyes on the ground, so as not to attract attention.

When he reached the apartment building, he went inside and took the elevator to the penthouse. He knocked on the door, and a moment later it was opened by a man with a shaved head and a goatee.

“Alex Stone?” the man asked.

“That’s me,” Alex said.

“Welcome,” the man said. “Come in.”

Alex stepped inside the apartment. It was large and luxurious, with floor-to-ceiling windows that offered a breathtaking view of the city skyline. The apartment was filled with people, all of them well-dressed and sophisticated.

Alex scanned the room, looking for the leader of the terrorists. He spotted him in the corner, talking to a group of men. The leader was a tall, imposing man with a black beard. He was wearing a dark suit and tie.

Alex made his way over to the leader and introduced himself.

“Alex Stone,” he said. “It’s a pleasure to meet you.”

“The pleasure is mine,” the leader said. “I’ve heard a lot about you.”

“I hope it’s all good,” Alex said.

“It is,” the leader said. “I’m confident that you’ll be a valuable asset to our team.”

Alex smiled. He had infiltrated the meeting, and he was now one step closer to completing his mission. But he knew that the real danger was still ahead.

To be continued...


Third Response

Chapter 1: The Drop

The rain in New York City was relentless, pounding on the pavement and sidewalks like a thousand tiny fists. It was a cold, blustery night, and the city streets were deserted.

A lone figure stood in the shadows of a doorway, watching the rain fall. He was tall and lean, with dark hair and piercing blue eyes. He wore a black trench coat and a fedora hat, pulled low over his brow.

His name was Jake Stone, and he was a spy.

Stone had been watching this particular doorway for the past two hours. He knew that a drop was scheduled to take place here tonight, and he was determined to intercept it.

The drop was a routine intelligence exchange between Stone’s agency, the CIA, and the Russian intelligence agency, the FSB. It was a delicate operation, and the slightest mistake could lead to disaster.

Stone’s heart pounded in his chest as he watched the seconds tick by. He knew that the drop was due any minute now.

Suddenly, a black van pulled up to the curb. The door opened and a man in a suit got out. He was carrying a briefcase.

The man looked around cautiously, then walked over to the doorway where Stone was hiding.

“Stone?” he whispered.

Stone nodded.

“The package,” the man said, handing over the briefcase.

Stone took the briefcase and checked it. It was heavy and locked.

“Thank you,” he said.

The man turned and walked back to the van. He got in and the van drove away.

Stone waited a few minutes, then he stepped out of the doorway and into the rain. He walked down the street, careful to stay in the shadows.

He knew that the Russians would be following him, but he didn’t care. He had the package, and that was all that mattered.

Stone turned a corner and entered a small alleyway. He stopped and looked around. There was no one in sight.

He quickly unlocked the briefcase and opened it. Inside was a stack of papers.

Stone took out the top sheet and scanned it. It was a list of names and addresses.

He recognized some of the names immediately. They were the names of high-ranking Russian officials.

Stone smiled. This was a major breakthrough.

He quickly put the papers back in the briefcase and locked it. Then he turned and walked out of the alleyway.

He knew that he had to get the package to his superiors as quickly as possible. But first, he needed to find a place to hide.

Stone looked around and saw a small hotel across the street. He quickly crossed the street and went inside.

He checked into a room and went up to his floor. He unlocked the door and stepped inside.

He closed the door behind him and locked it. Then he placed the briefcase on the bed and sat down next to it.

He took a deep breath and let it out slowly. He had done it. He had intercepted the drop.

But he knew that the job wasn’t over yet. The Russians would be looking for him, and they would stop at nothing to get the package back.

Stone stood up and walked to the window. He looked down at the street below.

He knew that he had to be careful. But he also knew that he couldn’t let the Russians win.

He had to get the package to his superiors, no matter what.

When Successful, Art Exceeds Its Creator’s Plans – Especially In the Days of AI

From LexBlog:

When successful, art exceeds its creator’s plans. So true in these days of AI.

No one could have envisioned the “travelings” of a book, an article or a legal blog post. To the “Books3 database” for Meta’s AI?

Ian Bogost, a contributing writer for The Atlantic, takes a contra – and refreshing – view to that of most authors, reporters and publishers when it comes to the scraping of their work for the training of AI large language models such as ChatGPT.

A searchable database revealed that thousands of books were used “without permission,” causing some authors to express outrage and even launch lawsuits against tech giant Meta.

Bogost’s response:

Whether or not Meta’s behavior amounts to infringement is a matter for the courts to decide. Permission is a different matter. One of the facts (and pleasures) of authorship is that one’s work will be used in unpredictable ways. The philosopher Jacques Derrida liked to talk about “dissemination,” which I take to mean that, like a plant releasing its seed, an author separates from their published work. Their readers (or viewers, or listeners) not only can but must make sense of that work in different contexts. A retiree cracks a Haruki Murakami novel recommended by a grandchild. A high-school kid skims Shakespeare for a class. My mother’s tree trimmer reads my book on play at her suggestion. A lack of permission underlies all of these uses, as it underlies influence in general: When successful, art exceeds its creator’s plans.

Sitting with a group of law firm leaders in January, I was told they were going to sign a demand letter, along with other large law firms, demanding that large LLM’s – OpenAI, Google, etc stop scraping the open legal publishing of law firms.

I thought lots of luck – and why would you want to stop the advancement of the law, which the use of AI in legal publishing represents.

That silliness by law firms, as best I can tell, has subsided.

Books, articles and legal publishing – and AI itself – are vessels for ideas, per Bogost.

Once bound and published, boxed and shipped, my books find their way to places I might never have anticipated. As vessels for ideas, I hope, but also as doorstops or insect-execution devices or as the last inch of a stack that holds up a laptop for an important Zoom. Or even—even!—as a litany of tokens, chunked apart to be reassembled by the alien mind of a weird machine. Why not? I am an author, sure, but I am also a man who put some words in order amid the uncountable others who have done the same. If authorship is nothing more than vanity, then let the machines put us out of our misery.

I tend to agree with Bogost that authors, rather than feeling violated, should consider the unexpected ways their works contribute to the collective human—and increasingly machine—understanding.

Link to the rest at LexBlog