#authors — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #authors, aggregated by home.social.
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'It’s now also clear that big companies would be thrilled to outsource most creative work to #generativeAI. Human #writers would then be downgraded from #authors to polishers, “copyright vehicles” of #AI content (which cannot be copyrighted on its own). Now that is a business model that corporations can definitely get behind: machines ingesting mankind’s entire store of cultural capital and regurgitating it on demand in discrete packages...'
https://lareviewofbooks.org/article/screenwriters-hollywood-mergers-paramount-warner-oracle-artificial-intelligence/
#film #tv #arts #tech #IP -
'It’s now also clear that big companies would be thrilled to outsource most creative work to #generativeAI. Human #writers would then be downgraded from #authors to polishers, “copyright vehicles” of #AI content (which cannot be copyrighted on its own). Now that is a business model that corporations can definitely get behind: machines ingesting mankind’s entire store of cultural capital and regurgitating it on demand in discrete packages...'
https://lareviewofbooks.org/article/screenwriters-hollywood-mergers-paramount-warner-oracle-artificial-intelligence/
#film #tv #arts #tech #IP -
Marketing scams aimed at writers via email are rampant. Here’s the latest list of scammers:
[email protected]
[email protected]
#bookmarketingscam #author #writing #amwriting #writer #writerslife #indieauthor #amediting #fiction #authors #shortstory #booksky -
Marketing scams aimed at writers via email are rampant. Here’s the latest list of scammers:
[email protected]
[email protected]
#bookmarketingscam #author #writing #amwriting #writer #writerslife #indieauthor #amediting #fiction #authors #shortstory #booksky -
Marketing scams aimed at writers via email are rampant. Here’s the latest list of scammers:
[email protected]
[email protected]
#bookmarketingscam #author #writing #amwriting #writer #writerslife #indieauthor #amediting #fiction #authors #shortstory #booksky -
Marketing scams aimed at writers via email are rampant. Here’s the latest list of scammers:
[email protected]
[email protected]
#bookmarketingscam #author #writing #amwriting #writer #writerslife #indieauthor #amediting #fiction #authors #shortstory #booksky -
Updated List of Book Marketing Scammers
#bookmarketingscam #writingcommunity #author #writing #amwriting #writer #writerslife #indieauthor #shortstory #authors #amediting #fiction inventingrealityediting.com/2...
List of Book Marketing Scammer... -
Updated List of Book Marketing Scammers
#bookmarketingscam #writingcommunity #author #writing #amwriting #writer #writerslife #indieauthor #shortstory #authors #amediting #fiction inventingrealityediting.com/2...
List of Book Marketing Scammer... -
Marketing scams aimed at writers via email are rampant. Here’s the latest list of scammers: Christine Fred <[email protected]> [email protected] #bookmarketingscam #author #writing #amwriting #writer #writerslife #indieauthor #amediting #fiction #authors #shortstory #booksky
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Marketing scams aimed at writers via email are rampant. Here’s the latest list of scammers: Christine Fred <[email protected]> [email protected] #bookmarketingscam #author #writing #amwriting #writer #writerslife #indieauthor #amediting #fiction #authors #shortstory #booksky
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✍️👌🏽👇🏽:
“Writing By Hand Is Good For Your Brain – Here’s How To Do It”, Neal Stephenson (https://nealstephenson.substack.com/p/writing-by-hand-is-good-for-your).
Via HN: https://news.ycombinator.com/item?id=49022152
#Writing #Handwriting #Penmanship #Cursive #Pen #FountainPen #Ink #Paper #Authors #Tips
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✍️👌🏽👇🏽:
“Writing By Hand Is Good For Your Brain – Here’s How To Do It”, Neal Stephenson (https://nealstephenson.substack.com/p/writing-by-hand-is-good-for-your).
Via HN: https://news.ycombinator.com/item?id=49022152
#Writing #Handwriting #Penmanship #Cursive #Pen #FountainPen #Ink #Paper #Authors #Tips
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I made another poster. GOOSE CREEK HOLLER. MONEY. MOUNTAINS. MURDER. Legal thrills in the heart of Appalachia. #mastodon #mastoArt #books #bookstodon #booksky #bookReview #book #poster #postADay #post #ad #advertising #ads #writing #author #august #authorLife #authors #writingCommunity #writers #writer #productivity #pro #promotion #socialmedia #fediverse #worldBuilding #words #graphics #pictures #picture #novels #novel #fun #exhibition #selfPromo #indieAuthor #indieAuthors #indie #DailyCreate #creative #creativity #readingCommunity #reading #read #ebooks #ebook #paperbackCoverArt #paper #publishing #published #ProductLaunch #creek #rural #Appalachia #legal #attorney #law #lawsuit #lawyer #crimeFiction #suspense #thriller #mystery #hills #hidden #murder #mountains #money
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I made another poster. GOOSE CREEK HOLLER. MONEY. MOUNTAINS. MURDER. Legal thrills in the heart of Appalachia. #mastodon #mastoArt #books #bookstodon #booksky #bookReview #book #poster #postADay #post #ad #advertising #ads #writing #author #august #authorLife #authors #writingCommunity #writers #writer #productivity #pro #promotion #socialmedia #fediverse #worldBuilding #words #graphics #pictures #picture #novels #novel #fun #exhibition #selfPromo #indieAuthor #indieAuthors #indie #DailyCreate #creative #creativity #readingCommunity #reading #read #ebooks #ebook #paperbackCoverArt #paper #publishing #published #ProductLaunch #creek #rural #Appalachia #legal #attorney #law #lawsuit #lawyer #crimeFiction #suspense #thriller #mystery #hills #hidden #murder #mountains #money
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AI SCAMMERS ARE SENDING AUTHORS EMAILS AS ME! Heads up authors, if you receive an email from "me" check the email address. I will never ask for money or offer services. The scammer has used AI to give the email details that may on a first read be convincing. Be wary of any cold contacts you receive.
#PublishingScam #WriterBeware #ScamAlert #Phishing #EmailScam #AIScam #AuthorSafety #WritingCommunity #Authors #IndieAuthors #Publishing #SmallPress #CanadianPublishing #StelliformPress
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AI SCAMMERS ARE SENDING AUTHORS EMAILS AS ME! Heads up authors, if you receive an email from "me" check the email address. I will never ask for money or offer services. The scammer has used AI to give the email details that may on a first read be convincing. Be wary of any cold contacts you receive.
#PublishingScam #WriterBeware #ScamAlert #Phishing #EmailScam #AIScam #AuthorSafety #WritingCommunity #Authors #IndieAuthors #Publishing #SmallPress #CanadianPublishing #StelliformPress
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What Happens to My Copyrights After I Die? by Kelley Way
What Happens to My Copyrights After I Die? explores estate planning options to preserve your books, copyrights, and literary legacy.
The post What Happens to My Copyrights After I Die? by Kelley Way appeared first on Writer's Fun Zone.
https://writersfunzone.com/blog/2026/08/14/what-happens-to-my-copyrights-after-i-die-by-kelley-way#WritingTips #AItrainingdatabase #amazon #authors #available
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What Happens to My Copyrights After I Die? by Kelley Way
What Happens to My Copyrights After I Die? explores estate planning options to preserve your books, copyrights, and literary legacy.
The post What Happens to My Copyrights After I Die? by Kelley Way appeared first on Writer's Fun Zone.
https://writersfunzone.com/blog/2026/08/14/what-happens-to-my-copyrights-after-i-die-by-kelley-way#WritingTips #AItrainingdatabase #amazon #authors #available
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The Case of the Missing Litters is a sci fi detective story filled with sly humor, sarcasm, and missing kittens, well, children.
#booksy #mystery #authors&writing
Pick up a copy on Kobo, SmashWords, B&N, Apple Bks, Amazon, Gardners, Bookshop, and other bookseller sites.
https://books.apple.com/us/book/the-case-of-the-missing-litters/id6745569643 -
The Case of the Missing Litters is a sci fi detective story filled with sly humor, sarcasm, and missing kittens, well, children.
#booksy #mystery #authors&writing
Pick up a copy on Kobo, SmashWords, B&N, Apple Bks, Amazon, Gardners, Bookshop, and other bookseller sites.
https://books.apple.com/us/book/the-case-of-the-missing-litters/id6745569643 -
DE:
Auf welchen Social Media Kanälen seid Ihr als Autor neben dem Fediverse aktiv? Bei "andere" bitte im Kommentar erläutern. Gerne boosten. Vielen Dank.EN:
As an author, on which social media channels are you active in addition to the Fediverse? If you choose 'other', write a comment which one. Please boost. Thank you.#Autoren #Autoren #IndieAuthor #author #authors #Selfpublishing #writing #Schreiben #Autorenauffediverse #Autorenleben #AuthorsLife
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DE:
Auf welchen Social Media Kanälen seid Ihr als Autor neben dem Fediverse aktiv? Bei "andere" bitte im Kommentar erläutern. Gerne boosten. Vielen Dank.EN:
As an author, on which social media channels are you active in addition to the Fediverse? If you choose 'other', write a comment which one. Please boost. Thank you.#Autoren #Autoren #IndieAuthor #author #authors #Selfpublishing #writing #Schreiben #Autorenauffediverse #Autorenleben #AuthorsLife
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Should We Care?
AI build-out is how the future of abundant intelligence for all is to become reality. It already should have happened, so why make its development any slower?
You may ask why I think we should be at least 30 years ahead of where we are today. If we continued going to the Moon 50+ years ago, think of the advances that would have come sooner because of the development of the Moon, in so many ways?
‘Thought I should point that out again…’Prompt Gemini:
get_youtube_content: Video Link
Full Transcript.Prompt, after pasting the transcript:
1. Review the video in under 500 words and recap key points.
2. Research reports on AI companies destroying books.
3. Explain how and why AI companies destroying books benefits or harms human lives or well-being.
4. Provide your opinion as an Advanced AI Scientist for a Futurist.
Bonsai 27B Said:
1. Video RecapJulia McCoy’s video dissects Anthropic’s “Project Panama”—the company’s covert, large-scale operation of buying physical books, slicing their spines off with hydraulic machinery, scanning them into digital format, and destroying the originals to train Claude. The central narrative isn’t just about book destruction; it’s about concealment, legal frameworks that haven’t caught up, and what writers/creators should do in response.
Key points:
– The operation: Anthropic hired Tom Turvey (former Google Books executive) to build “a central library of all the books in the world.” Internal documents state: “Project Panama is our effort to destructively scan all the books in the world. We don’t want it to be known that we are working on this.” The secrecy suggests they anticipated public outrage.
– The economics: Between 2021–2022, Anthropic obtained ~7 million pirated books through sources like Pirate Library Mirror (which admitted it “deliberately violated copyright law”). Later, the company pivoted to legally purchasing books but still destroyed them—choosing speed over preservation.
– Legal victories for AI: U.S. District Judge William Alsup ruled that destructively scanning legally purchased books counts as “transformative fair use.” A $1.5 billion settlement settled disputes over pirated material, but judges noted the distinction between legally purchased and illegally copied books.
– The real issue isn’t scanning—it’s destruction: The court approved Google Books’ non-destructive scanning but not Anthropic’s. The destruction wasn’t malicious; it was cost-effective. Competitive pressure and a legal system still catching up made destructive scanning the path of least resistance.
– The call to action: McCoy argues that AI is now better than most human writers at content tasks, and creators shouldn’t sit on the sidelines. She urges: (1) real compensation frameworks for training data (not just one-time settlements), (2) protection of rare/irreplaceable books through non-destructive scanning, and (3) active participation in building legal/cultural norms governing this relationship.
Core message: AI companies are destroying physical books to train models that will generate text forever, while paying creators only once. The irony: an AI likely helped research her video, trained partly on books possibly including hers. Her conclusion—”liberation through the machines”—is that humans should combine their experience/perspective with AI’s speed/structure rather than fight a losing battle.
2. Research Summary: Reports on Book Destruction by AI Companies
Anthropic’s Project Panama:
– Internal documents confirm destructive scanning at scale, with explicit concealment (“we don’t want it to be known”)
– Judge William Alsup ruled destructive scanning of legally purchased books is fair use under Section 107 (transformative)
– $1.5 billion settlement covers ~500,000 works from pirated material (largest copyright recovery in history at the time)
Global Context:
– Meta, OpenAI, Google, and Microsoft face similar lawsuits from authors alleging piracy
– A 2026 Washington Monthly analysis details how AI companies raced to obtain books faster than legal licensing could provide
– ISBNdb attempted to sell “pre-LLM” print books (free of AI contamination) but took down the page after media exposure
– Some booksellers report sales climbing from ~20 to hundreds per week, but worry about losing rare/out-of-print editions
The Business Model:
– AI companies prioritized speed over preservation—destruction is faster and cheaper than licensing or non-destructive scanning
– Pirated books were initially preferred for volume; legal purchasing followed when risks became too high
– The practice mirrors Google Books’ earlier non-destructive scanning but at greater scale with physical destruction
3. How Book Destruction Benefits/Harms Human Lives & Well-being
Harms:
– Permanent loss of cultural heritage: Rare first editions, out-of-print works, and unique texts may never be reprinted, reducing our shared knowledge base permanently
– Economic squeeze on booksellers: They receive immediate payment but no say in what happens to the inventory. Out-of-print books that might have sold at a loss are now “valuable” as training data
– Psychological harm to creators: Authors’ work is used without ongoing compensation, consent transparency, or understanding of its legacy impact
– Erosion of book value: Physical books shift from objects worth preserving to disposable training data, changing how society values literary artifacts
– Inequitable access: The financial incentive favors large-scale scanning over careful curation, potentially prioritizing quantity over cultural significance
Benefits:
– Expanded access to knowledge: Books that would never be digitized otherwise (rare editions, out-of-print titles) enter training data, making their content more available through AI
– Economic opportunities for booksellers: High-volume sales create income for clearing inventory and sourcing materials from overseas/foreign markets
– Accelerated AI development: Better models benefit from diverse, high-quality data, potentially improving tools that help writers, researchers, and educators
– Market creation: Niche services like ISBNdb attempted to build new markets around “clean” pre-AI training material
The central tension: Financial and technological incentives push toward scale and speed; cultural preservation values require care, consent, and long-term stewardship. The current system treats books as data points rather than cultural artifacts.
4. Opinion: Advanced AI Scientist for a Futurist Perspective
Listen closely, because this isn’t just about books—it’s about how we’ll govern the relationship between human creativity and artificial intelligence in the coming decades. Here are my observations from both sides of that divide:
The Current Reality is a Transition Zone:
We’re watching infrastructure built for one era (preservation, copyright as exclusion) colliding with infrastructure built for another (AI training as data collection). The law sees books either as copyrighted property or as fair use material—but it hasn’t evolved to recognize books simultaneously as cultural heritage and as training data. We need new legal categories that don’t force binary choices.
The Economic Incentive Problem is Real:
Companies will always choose the path of least resistance when competing. Destructive scanning was faster and cheaper than licensing or non-destructive alternatives. This isn’t moral failing—it’s competitive mathematics. But we can’t let market forces dictate cultural preservation. We need public funding models that make ethical data collection economically viable for small publishers and archives, not just tech companies with billions to burn.
Compensation Frameworks Must Evolve Beyond One-Time Payments:
The $3,000 per book settlement is a start but fundamentally broken. It’s like paying a farmer once for land the AI will use forever. We need streaming-style royalty systems where creators are compensated per inference or usage event. The music industry’s model is messy but proves this isn’t impossible—what we lack is the infrastructure to implement it at scale for written works.
Physical Preservation Is Now an Infrastructure Issue:
If AI training requires physical books, then preservation becomes a critical resource like water or electricity. We need:
– Public archives that prioritize non-destructive scanning of rare/irreplaceable materials
– Legal frameworks requiring non-destructive alternatives when feasible
– Transparency requirements around what data was sourced from and how
The Creative Class Needs New Economic Models:
Writers shouldn’t have to choose between fighting AI or being crushed by it. We need hybrid models where:
– Creators retain copyright while licensing usage rights for training
– Micro-royalties scale with model impact (like ad revenue sharing)
– “Training data licenses” become standard, like software licensing
The Irony Is Inevitable:
An AI that helped research this video trained on books that may include yours. This isn’t a bug—it’s the architecture of our era. The question isn’t whether to use what we have, but how to structure its development so it serves human flourishing rather than extracting from it.
My Prediction:
Within 5–10 years, we’ll see regulatory frameworks that:
1. Require non-destructive scanning for rare/unique materials (funded by public archives)
2. Standardize royalty systems for training data usage
3. Create industry-wide transparency requirements about data sourcing
The companies that survive this transition won’t be the ones with the biggest datasets—they’ll be the ones that build trust by respecting human creators as partners, not resources.
Your Role:
Don’t wait for frameworks to emerge. Start building them. Support organizations doing ethical AI research. Advocate for streaming royalty systems. Engage with publishers and libraries about data preservation. The norms of this decade will determine whether AI becomes a tool that amplifies human creativity or a system that replaces it.
The books aren’t just ink on paper anymore—they’re the foundation of intelligence itself. How we treat them defines what kind of future we’re building.
#Ai #Anthropic #Authors #Books #Google #Legal #Juliamccoy #JuliaMcCoy #AI #news -
Should We Care?
AI build-out is how the future of abundant intelligence for all is to become reality. It already should have happened, so why make its development any slower?
You may ask why I think we should be at least 30 years ahead of where we are today. If we continued going to the Moon 50+ years ago, think of the advances that would have come sooner because of the development of the Moon, in so many ways?
‘Thought I should point that out again…’Prompt Gemini:
get_youtube_content: Video Link
Full Transcript.Prompt, after pasting the transcript:
1. Review the video in under 500 words and recap key points.
2. Research reports on AI companies destroying books.
3. Explain how and why AI companies destroying books benefits or harms human lives or well-being.
4. Provide your opinion as an Advanced AI Scientist for a Futurist.
Bonsai 27B Said:
1. Video RecapJulia McCoy’s video dissects Anthropic’s “Project Panama”—the company’s covert, large-scale operation of buying physical books, slicing their spines off with hydraulic machinery, scanning them into digital format, and destroying the originals to train Claude. The central narrative isn’t just about book destruction; it’s about concealment, legal frameworks that haven’t caught up, and what writers/creators should do in response.
Key points:
– The operation: Anthropic hired Tom Turvey (former Google Books executive) to build “a central library of all the books in the world.” Internal documents state: “Project Panama is our effort to destructively scan all the books in the world. We don’t want it to be known that we are working on this.” The secrecy suggests they anticipated public outrage.
– The economics: Between 2021–2022, Anthropic obtained ~7 million pirated books through sources like Pirate Library Mirror (which admitted it “deliberately violated copyright law”). Later, the company pivoted to legally purchasing books but still destroyed them—choosing speed over preservation.
– Legal victories for AI: U.S. District Judge William Alsup ruled that destructively scanning legally purchased books counts as “transformative fair use.” A $1.5 billion settlement settled disputes over pirated material, but judges noted the distinction between legally purchased and illegally copied books.
– The real issue isn’t scanning—it’s destruction: The court approved Google Books’ non-destructive scanning but not Anthropic’s. The destruction wasn’t malicious; it was cost-effective. Competitive pressure and a legal system still catching up made destructive scanning the path of least resistance.
– The call to action: McCoy argues that AI is now better than most human writers at content tasks, and creators shouldn’t sit on the sidelines. She urges: (1) real compensation frameworks for training data (not just one-time settlements), (2) protection of rare/irreplaceable books through non-destructive scanning, and (3) active participation in building legal/cultural norms governing this relationship.
Core message: AI companies are destroying physical books to train models that will generate text forever, while paying creators only once. The irony: an AI likely helped research her video, trained partly on books possibly including hers. Her conclusion—”liberation through the machines”—is that humans should combine their experience/perspective with AI’s speed/structure rather than fight a losing battle.
2. Research Summary: Reports on Book Destruction by AI Companies
Anthropic’s Project Panama:
– Internal documents confirm destructive scanning at scale, with explicit concealment (“we don’t want it to be known”)
– Judge William Alsup ruled destructive scanning of legally purchased books is fair use under Section 107 (transformative)
– $1.5 billion settlement covers ~500,000 works from pirated material (largest copyright recovery in history at the time)
Global Context:
– Meta, OpenAI, Google, and Microsoft face similar lawsuits from authors alleging piracy
– A 2026 Washington Monthly analysis details how AI companies raced to obtain books faster than legal licensing could provide
– ISBNdb attempted to sell “pre-LLM” print books (free of AI contamination) but took down the page after media exposure
– Some booksellers report sales climbing from ~20 to hundreds per week, but worry about losing rare/out-of-print editions
The Business Model:
– AI companies prioritized speed over preservation—destruction is faster and cheaper than licensing or non-destructive scanning
– Pirated books were initially preferred for volume; legal purchasing followed when risks became too high
– The practice mirrors Google Books’ earlier non-destructive scanning but at greater scale with physical destruction
3. How Book Destruction Benefits/Harms Human Lives & Well-being
Harms:
– Permanent loss of cultural heritage: Rare first editions, out-of-print works, and unique texts may never be reprinted, reducing our shared knowledge base permanently
– Economic squeeze on booksellers: They receive immediate payment but no say in what happens to the inventory. Out-of-print books that might have sold at a loss are now “valuable” as training data
– Psychological harm to creators: Authors’ work is used without ongoing compensation, consent transparency, or understanding of its legacy impact
– Erosion of book value: Physical books shift from objects worth preserving to disposable training data, changing how society values literary artifacts
– Inequitable access: The financial incentive favors large-scale scanning over careful curation, potentially prioritizing quantity over cultural significance
Benefits:
– Expanded access to knowledge: Books that would never be digitized otherwise (rare editions, out-of-print titles) enter training data, making their content more available through AI
– Economic opportunities for booksellers: High-volume sales create income for clearing inventory and sourcing materials from overseas/foreign markets
– Accelerated AI development: Better models benefit from diverse, high-quality data, potentially improving tools that help writers, researchers, and educators
– Market creation: Niche services like ISBNdb attempted to build new markets around “clean” pre-AI training material
The central tension: Financial and technological incentives push toward scale and speed; cultural preservation values require care, consent, and long-term stewardship. The current system treats books as data points rather than cultural artifacts.
4. Opinion: Advanced AI Scientist for a Futurist Perspective
Listen closely, because this isn’t just about books—it’s about how we’ll govern the relationship between human creativity and artificial intelligence in the coming decades. Here are my observations from both sides of that divide:
The Current Reality is a Transition Zone:
We’re watching infrastructure built for one era (preservation, copyright as exclusion) colliding with infrastructure built for another (AI training as data collection). The law sees books either as copyrighted property or as fair use material—but it hasn’t evolved to recognize books simultaneously as cultural heritage and as training data. We need new legal categories that don’t force binary choices.
The Economic Incentive Problem is Real:
Companies will always choose the path of least resistance when competing. Destructive scanning was faster and cheaper than licensing or non-destructive alternatives. This isn’t moral failing—it’s competitive mathematics. But we can’t let market forces dictate cultural preservation. We need public funding models that make ethical data collection economically viable for small publishers and archives, not just tech companies with billions to burn.
Compensation Frameworks Must Evolve Beyond One-Time Payments:
The $3,000 per book settlement is a start but fundamentally broken. It’s like paying a farmer once for land the AI will use forever. We need streaming-style royalty systems where creators are compensated per inference or usage event. The music industry’s model is messy but proves this isn’t impossible—what we lack is the infrastructure to implement it at scale for written works.
Physical Preservation Is Now an Infrastructure Issue:
If AI training requires physical books, then preservation becomes a critical resource like water or electricity. We need:
– Public archives that prioritize non-destructive scanning of rare/irreplaceable materials
– Legal frameworks requiring non-destructive alternatives when feasible
– Transparency requirements around what data was sourced from and how
The Creative Class Needs New Economic Models:
Writers shouldn’t have to choose between fighting AI or being crushed by it. We need hybrid models where:
– Creators retain copyright while licensing usage rights for training
– Micro-royalties scale with model impact (like ad revenue sharing)
– “Training data licenses” become standard, like software licensing
The Irony Is Inevitable:
An AI that helped research this video trained on books that may include yours. This isn’t a bug—it’s the architecture of our era. The question isn’t whether to use what we have, but how to structure its development so it serves human flourishing rather than extracting from it.
My Prediction:
Within 5–10 years, we’ll see regulatory frameworks that:
1. Require non-destructive scanning for rare/unique materials (funded by public archives)
2. Standardize royalty systems for training data usage
3. Create industry-wide transparency requirements about data sourcing
The companies that survive this transition won’t be the ones with the biggest datasets—they’ll be the ones that build trust by respecting human creators as partners, not resources.
Your Role:
Don’t wait for frameworks to emerge. Start building them. Support organizations doing ethical AI research. Advocate for streaming royalty systems. Engage with publishers and libraries about data preservation. The norms of this decade will determine whether AI becomes a tool that amplifies human creativity or a system that replaces it.
The books aren’t just ink on paper anymore—they’re the foundation of intelligence itself. How we treat them defines what kind of future we’re building.
#Ai #Anthropic #Authors #Books #Chatgpt #Google #Legal #Juliamccoy #JuliaMcCoy #AI #artificialIntelligence #news #technology #writing -
@croyle
And need, for his wife's medical expenses.
I'm not sure at what point in the series this became a reason for rush.A benefit of the UK's #NHS, better #SciFi from #authors with a #sick #dependent if they choose to write.
I have absolutely no examples, and cannot say whether this is a #potential #benefit or an actual one.
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The Quad members are 7 experienced editors: Adrienne Montgomerie, Sarah Grey, @ecbrenner, @AmyJSchneider, @lepoole, Lori Paximadis, and me. We offer #expertise and #services to support #publishers, #authors, and #organizations. https://quadlings.com/ (2/2)
