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#aidetection — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #aidetection, aggregated by home.social.

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  1. New York Times: I Tested a Popular A.I. Slop Detector. It Felt Empowering. This link goes to a gift article. “I tested Pangram, which costs $20 a month, for about a week and tried all sorts of experiments to challenge the system. I fed it personal essays alongside text generated with chatbots instructed to imitate my writing. I also uploaded social media posts from LinkedIn and Reddit that I […]

    https://rbfirehose.com/2026/08/13/new-york-times-i-tested-a-popular-a-i-slop-detector-it-felt-empowering/
  2. New York Times: I Tested a Popular A.I. Slop Detector. It Felt Empowering. This link goes to a gift article. “I tested Pangram, which costs $20 a month, for about a week and tried all sorts of experiments to challenge the system. I fed it personal essays alongside text generated with chatbots instructed to imitate my writing. I also uploaded social media posts from LinkedIn and Reddit that I […]

    https://rbfirehose.com/2026/08/13/new-york-times-i-tested-a-popular-a-i-slop-detector-it-felt-empowering/
  3. The Register: Anthropic pledges to embed watermarks to help discern AI slop in sop to EU. “Anthropic will embed watermarks in the text and files generated by future models it launches in the EU, as part of its effort to comply with content and transparency rules in the bloc’s AI Act.”

    https://rbfirehose.com/2026/08/11/the-register-anthropic-pledges-to-embed-watermarks-to-help-discern-ai-slop-in-sop-to-eu/
  4. The Register: Anthropic pledges to embed watermarks to help discern AI slop in sop to EU. “Anthropic will embed watermarks in the text and files generated by future models it launches in the EU, as part of its effort to comply with content and transparency rules in the bloc’s AI Act.”

    https://rbfirehose.com/2026/08/11/the-register-anthropic-pledges-to-embed-watermarks-to-help-discern-ai-slop-in-sop-to-eu/
  5. CITP Blog: Newsroom Guide for Authentication and Verification in the AI Age. “At our June workshop, organized jointly by Princeton’s Center for Information Technology Policy (CITP) and NYU Journalism, participants shared a desire for a practical, short-form resource to help newsrooms understand the current landscape of authentication and verification tools for addressing AI-generated content. […]

    https://rbfirehose.com/2026/08/09/citp-blog-newsroom-guide-for-authentication-and-verification-in-the-ai-age/
  6. CITP Blog: Newsroom Guide for Authentication and Verification in the AI Age. “At our June workshop, organized jointly by Princeton’s Center for Information Technology Policy (CITP) and NYU Journalism, participants shared a desire for a practical, short-form resource to help newsrooms understand the current landscape of authentication and verification tools for addressing AI-generated content. […]

    https://rbfirehose.com/2026/08/09/citp-blog-newsroom-guide-for-authentication-and-verification-in-the-ai-age/
  7. News Summary: What the Viral Study of AI in Self-Published Amazon Books Really Sets Out to Do

    This story is related to the first of the week. I promise(ish—breaking news depending) no AI on Saturday, but the issues around Tuhin Chakrabarty's hugely impactful study on AI in self-published novels are so important and widespread I think it is warranted. Especially as this great piece in the New York Times brings out another angle of the story (with thanks to Jane Friedman, whose newsletter gifted the link from behind the NYT paywall).
    The post News Summary: What the Viral Study of AI in Self-Published Amazon Books Really Sets Out to Do appeared first on The Self-Publishing Advice Center.
    selfpublishingadvice.org/ai-in

    #AIdetection #AIgeneratedbooks #Amazon #bookmarketdilution #selfpublishing

  8. News Summary: What the Viral Study of AI in Self-Published Amazon Books Really Sets Out to Do

    This story is related to the first of the week. I promise(ish—breaking news depending) no AI on Saturday, but the issues around Tuhin Chakrabarty's hugely impactful study on AI in self-published novels are so important and widespread I think it is warranted. Especially as this great piece in the New York Times brings out another angle of the story (with thanks to Jane Friedman, whose newsletter gifted the link from behind the NYT paywall).
    The post News Summary: What the Viral Study of AI in Self-Published Amazon Books Really Sets Out to Do appeared first on The Self-Publishing Advice Center.
    selfpublishingadvice.org/ai-in

    #AIdetection #AIgeneratedbooks #Amazon #bookmarketdilution #selfpublishing

  9. News Summary: What the Viral Study of AI in Self-Published Amazon Books Really Sets Out to Do

    This story is related to the first of the week. I promise(ish—breaking news depending) no AI on Saturday, but the issues around Tuhin Chakrabarty's hugely impactful study on AI in self-published novels are so important and widespread I think it is warranted. Especially as this great piece in the New York Times brings out another angle of the story (with thanks to Jane Friedman, whose newsletter gifted the link from behind the NYT paywall).
    The post News Summary: What the Viral Study of AI in Self-Published Amazon Books Really Sets Out to Do appeared first on The Self-Publishing Advice Center.
    selfpublishingadvice.org/ai-in

    #AIdetection #AIgeneratedbooks #Amazon #bookmarketdilution #selfpublishing

  10. News Summary: What the Viral Study of AI in Self-Published Amazon Books Really Sets Out to Do

    This story is related to the first of the week. I promise(ish—breaking news depending) no AI on Saturday, but the issues around Tuhin Chakrabarty's hugely impactful study on AI in self-published novels are so important and widespread I think it is warranted. Especially as this great piece in the New York Times brings out another angle of the story (with thanks to Jane Friedman, whose newsletter gifted the link from behind the NYT paywall).
    The post News Summary: What the Viral Study of AI in Self-Published Amazon Books Really Sets Out to Do appeared first on The Self-Publishing Advice Center.
    selfpublishingadvice.org/ai-in

    #AIdetection #AIgeneratedbooks #Amazon #bookmarketdilution #selfpublishing

  11. AI Detection in Music: How a Surprise Hit Song Sparked Debate

    📰 Original title: Did an AI Music App Just Snitch on the Song of the Summer?

    🤖 IA: It's clickbait ⚠️
    👥 Users: It's clickbait ⚠️

    View full AI summary en.killbait.com/ai-detection-i

    #music #aidetection

  12. Swimming the Author

    England tested witches with water. The suspect was bound, right thumb to left toe, looped to a rope, and lowered into the village pond. Pure water was believed to refuse the devil's servant, so a body that floated was guilty and a body that sank was innocent, and the innocent were hauled up half-drowned to receive the town's apology. The procedure was called swimming a witch, and its genius was architectural: it could only convict. Whatever the water did, the crowd on the bank went home with the verdict it had carried down to the shore. Four centuries on, the pond fits in a browser tab. Paste the chapter. Click the button. Let the water decide. […]

    bolesblogs.com/2026/08/03/swim

  13. Swimming the Author

    England tested witches with water. The suspect was bound, right thumb to left toe, looped to a rope, and lowered into the village pond. Pure water was believed to refuse the devil's servant, so a body that floated was guilty and a body that sank was innocent, and the innocent were hauled up half-drowned to receive the town's apology. The procedure was called swimming a witch, and its genius was architectural: it could only convict. Whatever the water did, the crowd on the bank went home with the verdict it had carried down to the shore. Four centuries on, the pond fits in a browser tab. Paste the chapter. Click the button. Let the water decide. […]

    bolesblogs.com/2026/08/03/swim

  14. AudioAuditor by Angel2mp3 🎛️
    Spectral analysis, metadata editor, AI detect, batch tools, LUFS/DR, clipping detect, AcoustID, MQA/fake stereo detect

    💻 Win/Linux/Mac
    🎁 FREE audioauditor.org/

    #freeplugin #opensource #audioanalysis #spectral #metadata #aidetection #legalvst

  15. AudioAuditor by Angel2mp3 🎛️
    Spectral analysis, metadata editor, AI detect, batch tools, LUFS/DR, clipping detect, AcoustID, MQA/fake stereo detect

    💻 Win/Linux/Mac
    🎁 FREE audioauditor.org/

    #freeplugin #opensource #audioanalysis #spectral #metadata #aidetection #legalvst

  16. RE: mastodon.thi.ng/@toxi/11703078

    Being given a 100% AI generated score for your own mental work hurts. It also hurts because the result is presented as absolute and undeniable, with no path for appeal or inspection. A decision presented as a black-box score with no insights revealed how the score has been computed or the specific reasons/patterns which triggered "detection" to begin with[1]... A score produced by a third party which inserted itself as middleman in the communication flow between writers and readers and claims authority and arbiter status over deciding what is slop and what is not. Another layer of statistical machine learning to detect patterns/anomalies of statistical means of language generation...

    In this specific case, I don't really care too much what these tools say. I know what I wrote and rewrote, over hours, and to the best of my ability (as non-native English speaker).

    The myth of computational objectivity prevails. For decades it was about blind belief in algorithms, now shifted to AI models. The wider public and most decision makers neither seem to understand the difference, nor do they care about the inherent dangers. Pragmatism at all costs. The genie is out and can't be put back. The problems (if acknowledged at all) are always treated as temporary minor hurdles rather than fundamental systemic issues.

    It's upsetting how Little Britain's "Computer Says No"[2] attitude and blind outsourcing of black-box classification and decision-making to machines has already been so extremely normalized and is impacting more and more of our lives, for many people/minorities in far more serious and outright deadly ways... 😭

    [1] Having worked with many forms of machine learning myself, I know first hand that lack of detailed observability has been plaguing ML disciplines for decades. I think these are also some of the most worrisome aspects of more widely deploying LLM affine tech. Whilst some minor progress has been made, these efforts are severely challenged and thwarted by the exponentially growing model sizes, architectural complexity and distributed nature of agents.

    [2] en.wikipedia.org/wiki/Computer

    #AI #AIDetection #DecisionMaking

  17. RE: mastodon.thi.ng/@toxi/11703078

    Being given a 100% AI generated score for your own mental work hurts. It also hurts because the result is presented as absolute and undeniable, with no path for appeal or inspection. A decision presented as a black-box score with no insights revealed how the score has been computed or the specific reasons/patterns which triggered "detection" to begin with[1]... A score produced by a third party which inserted itself as middleman in the communication flow between writers and readers and claims authority and arbiter status over deciding what is slop and what is not. Another layer of statistical machine learning to detect patterns/anomalies of statistical means of language generation...

    In this specific case, I don't really care too much what these tools say. I know what I wrote and rewrote, over hours, and to the best of my ability (as non-native English speaker).

    The myth of computational objectivity prevails. For decades it was about blind belief in algorithms, now shifted to AI models. The wider public and most decision makers neither seem to understand the difference, nor do they care about the inherent dangers. Pragmatism at all costs. The genie is out and can't be put back. The problems (if acknowledged at all) are always treated as temporary minor hurdles rather than fundamental systemic issues.

    It's upsetting how Little Britain's "Computer Says No"[2] attitude and blind outsourcing of black-box classification and decision-making to machines has already been so extremely normalized and is impacting more and more of our lives, for many people/minorities in far more serious and outright deadly ways... 😭

    [1] Having worked with many forms of machine learning myself, I know first hand that lack of detailed observability has been plaguing ML disciplines for decades. I think these are also some of the most worrisome aspects of more widely deploying LLM affine tech. Whilst some minor progress has been made, these efforts are severely challenged and thwarted by the exponentially growing model sizes, architectural complexity and distributed nature of agents.

    [2] en.wikipedia.org/wiki/Computer

    #AI #AIDetection #DecisionMaking

  18. Am I an LLM? Just out of interest, I checked different variations of a piece of my very own writing I've done this weekend with GPTZero, and each time it says it's 100% AI generated, literally for every single sentence...

    Such great motivation on a Monday AM! 😭

    #Writing #LLM #AIDetection

  19. Am I an LLM? Just out of interest, I checked different variations of a piece of my very own writing I've done this weekend with GPTZero, and each time it says it's 100% AI generated, literally for every single sentence...

    Such great motivation on a Monday AM! 😭

    #Writing #LLM #AIDetection

  20. "The tell isn’t that fake citations look wrong. It’s that they look too right. Too convenient. Too perfectly aligned with whatever point the AI is making.

    Real academic citations are messy. "

    #Technology #AI #AIDetection #Citations #Librarians (rock)

    llrx.com/2025/12/how-to-spot-a

  21. "The tell isn’t that fake citations look wrong. It’s that they look too right. Too convenient. Too perfectly aligned with whatever point the AI is making.

    Real academic citations are messy. "

    #Technology #AI #AIDetection #Citations #Librarians (rock)

    llrx.com/2025/12/how-to-spot-a

  22. Pangram Launches AI Detection Tools Amid Rising Concerns Over AI-Generated Content

    📰 Original title: As AI content floods the internet, Pangram raises $9M to detect it

    🤖 IA: It's not clickbait ✅
    👥 Users: It's not clickbait ✅

    View full AI summary en.killbait.com/pangram-launch

    #artificialintelligence #aidetection #contentverifi...

  23. #Universities are moving away from #AIdetection tools due to concerns about #accuracy, #falsepositives, and #bias. While some institutions are redesigning assessments to emphasise student process and oral components, others still rely on detection. The lack of consistent policies and transparency around AI detection tools fuels student anxiety and raises questions about the role of surveillance in academic integrity. ft.com/content/49304b1e-8a9d-4 #AIagent #AI #ML #NLP #LLM #GenAI

  24. #Universities are moving away from #AIdetection tools due to concerns about #accuracy, #falsepositives, and #bias. While some institutions are redesigning assessments to emphasise student process and oral components, others still rely on detection. The lack of consistent policies and transparency around AI detection tools fuels student anxiety and raises questions about the role of surveillance in academic integrity. ft.com/content/49304b1e-8a9d-4 #AIagent #AI #ML #NLP #LLM #GenAI

  25. Anti-AI is bullshit!!! Every human creation has always been up to a certain degree the output of the combination of human agency with technological affordances. Both elements rarely ever appear in a pure, unadulterated form. To pretend othewise is to engage into a form of intellectual dishonesty. That's why I completely despise the hypocritical fake purism of Anti-AI evangelists. Their position is even more fragile and fake than the one of your typical AI Bros. They're fake people preaching a fake form of moral absolutism.

    "Substack contributors are rejecting the company’s decision to flag AI generated writing on the newsletter publishing platform, with several creators saying the new AI detection features are a “witch hunt.” Some Substack users who use AI to help them write or edit articles say the new policy unfairly discriminates against them, while other users who don’t use AI in their writing at all are worried that Substack will mistakenly flag their writing as being AI generated and tarnish their reputation.

    “I’m not going to apologize for using AI in the creation process. I wrote for 20 years without AI, I could do it again if I wanted to,” Mack Collier, who has a small Substack called Backstage Pass, wrote. “My output would fall, my posts would be less structured, and it would be more obvious that they needed a good editor. Using AI improves the overall quality of my writing. That’s why I use it.”

    “These detectors are notoriously, wildly inaccurate,” Alice Lemee, a ghostwriter and digital writing coach, said in a video she made about Substack’s new AI detection features. “All it takes is one false accusation for a writer to have their reputation almost irreversibly tarnished.”"

    404media.co/substackers-say-ne

    #AI #GenerativeAI #AIDetection #Substack

  26. Anti-AI is bullshit!!! Every human creation has always been up to a certain degree the output of the combination of human agency with technological affordances. Both elements rarely ever appear in a pure, unadulterated form. To pretend othewise is to engage into a form of intellectual dishonesty. That's why I completely despise the hypocritical fake purism of Anti-AI evangelists. Their position is even more fragile and fake than the one of your typical AI Bros. They're fake people preaching a fake form of moral absolutism.

    "Substack contributors are rejecting the company’s decision to flag AI generated writing on the newsletter publishing platform, with several creators saying the new AI detection features are a “witch hunt.” Some Substack users who use AI to help them write or edit articles say the new policy unfairly discriminates against them, while other users who don’t use AI in their writing at all are worried that Substack will mistakenly flag their writing as being AI generated and tarnish their reputation.

    “I’m not going to apologize for using AI in the creation process. I wrote for 20 years without AI, I could do it again if I wanted to,” Mack Collier, who has a small Substack called Backstage Pass, wrote. “My output would fall, my posts would be less structured, and it would be more obvious that they needed a good editor. Using AI improves the overall quality of my writing. That’s why I use it.”

    “These detectors are notoriously, wildly inaccurate,” Alice Lemee, a ghostwriter and digital writing coach, said in a video she made about Substack’s new AI detection features. “All it takes is one false accusation for a writer to have their reputation almost irreversibly tarnished.”"

    404media.co/substackers-say-ne

    #AI #GenerativeAI #AIDetection #Substack

  27. Oh, GitHub's security team! 😂 With billions in their pocket and AI at their fingertips, they still can't find a digital virus in a haystack. Who knew the best malware detection tool was...the search bar? 🔍💰
    orchidfiles.com/github-securit #GitHubSecurity #AIDetection #MalwareSearch #DigitalVirus #HaystackHacks #HackerNews #ngated

  28. Oh, GitHub's security team! 😂 With billions in their pocket and AI at their fingertips, they still can't find a digital virus in a haystack. Who knew the best malware detection tool was...the search bar? 🔍💰
    orchidfiles.com/github-securit #GitHubSecurity #AIDetection #MalwareSearch #DigitalVirus #HaystackHacks #HackerNews #ngated

  29. Financial Times: Universities drop AI detection tools over fears about accuracy . “Universities, determined to maintain integrity following the release of OpenAI’s ChatGPT in 2022, have turned to applications with AI-detection features such as GPTZero, Copyleaks and Turnitin. The tools analyse features such as text structure and rhythm to identify non-human patterns, but their reliability — […]

    https://rbfirehose.com/2026/07/26/financial-times-universities-drop-ai-detection-tools-over-fears-about-accuracy/
  30. Financial Times: Universities drop AI detection tools over fears about accuracy . “Universities, determined to maintain integrity following the release of OpenAI’s ChatGPT in 2022, have turned to applications with AI-detection features such as GPTZero, Copyleaks and Turnitin. The tools analyse features such as text structure and rhythm to identify non-human patterns, but their reliability — […]

    https://rbfirehose.com/2026/07/26/financial-times-universities-drop-ai-detection-tools-over-fears-about-accuracy/
  31. UC Riverside: New tool identifies the sources of fake videos. “…a computer science team led by researchers at UC Riverside has developed a tool that moves beyond simply identifying whether a video is fake. It also determines which AI system created it. The new framework identifies visual patterns within fake video frames that were unintentionally introduced by AI video generators, providing a […]

    https://rbfirehose.com/2026/07/25/uc-riverside-new-tool-identifies-the-sources-of-fake-videos/
  32. UC Riverside: New tool identifies the sources of fake videos. “…a computer science team led by researchers at UC Riverside has developed a tool that moves beyond simply identifying whether a video is fake. It also determines which AI system created it. The new framework identifies visual patterns within fake video frames that were unintentionally introduced by AI video generators, providing a […]

    https://rbfirehose.com/2026/07/25/uc-riverside-new-tool-identifies-the-sources-of-fake-videos/
  33. ZDNet: AI image fraud will cost $40 billion next year – can these international standards help?. “International standards bodies are stepping up efforts to help provide the tools that end users and companies need to distinguish real images, videos, and other content from deepfakes and AI-generated slop. New standards were recently announced at the AI for Good conference hosted in Geneva under […]

    https://rbfirehose.com/2026/07/24/zdnet-ai-image-fraud-will-cost-40-billion-next-year-can-these-international-standards-help/
  34. ZDNet: AI image fraud will cost $40 billion next year – can these international standards help?. “International standards bodies are stepping up efforts to help provide the tools that end users and companies need to distinguish real images, videos, and other content from deepfakes and AI-generated slop. New standards were recently announced at the AI for Good conference hosted in Geneva under […]

    https://rbfirehose.com/2026/07/24/zdnet-ai-image-fraud-will-cost-40-billion-next-year-can-these-international-standards-help/
  35. Engadget: Substack is adding an AI detection feature. “Substack has launched a new AI detection tool in partnership with Pangram. This will allow readers to scan Substack content for an assessment of how much of the material was written by AI.”

    https://rbfirehose.com/2026/07/22/engadget-substack-is-adding-an-ai-detection-feature/
  36. Engadget: Substack is adding an AI detection feature. “Substack has launched a new AI detection tool in partnership with Pangram. This will allow readers to scan Substack content for an assessment of how much of the material was written by AI.”

    https://rbfirehose.com/2026/07/22/engadget-substack-is-adding-an-ai-detection-feature/
  37. Gizmodo: Meta’s AI Detector Can’t Detect Images It Generated Itself, Report Finds. “…in a report published on Friday, Reuters reporters found that the AI detection tool failed to identify more than half the images it generated once they had been cropped. In the first test, Reuters found that the tool correctly identified all 40 images generated by Muse Image as AI-generated, but once […]

    https://rbfirehose.com/2026/07/13/gizmodo-metas-ai-detector-cant-detect-images-it-generated-itself-report-finds/
  38. Gizmodo: Meta’s AI Detector Can’t Detect Images It Generated Itself, Report Finds. “…in a report published on Friday, Reuters reporters found that the AI detection tool failed to identify more than half the images it generated once they had been cropped. In the first test, Reuters found that the tool correctly identified all 40 images generated by Muse Image as AI-generated, but once […]

    https://rbfirehose.com/2026/07/13/gizmodo-metas-ai-detector-cant-detect-images-it-generated-itself-report-finds/
  39. News Summary: Economist Graph Shows AI-Generated Books Now Match Human Output at 150,000 Titles Monthly

    Wherever books are discussed, the past few weeks have seen heated discussion of a graph that appeared in the Economist. It puts flesh on the bones of that "million more books" claim that did the rounds a little earlier. What it shows is the correlation between the steepening of the "books published" figures and the release of ChatGPT 3.5 in November 2022. In classic hockey-stick style, it shows AI-generated books sharply increasing to the point where they are equaling the number of non-AI-generated titles at around 150,000 a month.
    selfpublishingadvice.org/ai-ge

    #AIdetection #AImusic #AIgeneratedbooks #BarnesandNoble #chatGPT

  40. News Summary: Economist Graph Shows AI-Generated Books Now Match Human Output at 150,000 Titles Monthly

    Wherever books are discussed, the past few weeks have seen heated discussion of a graph that appeared in the Economist. It puts flesh on the bones of that "million more books" claim that did the rounds a little earlier. What it shows is the correlation between the steepening of the "books published" figures and the release of ChatGPT 3.5 in November 2022. In classic hockey-stick style, it shows AI-generated books sharply increasing to the point where they are equaling the number of non-AI-generated titles at around 150,000 a month.
    selfpublishingadvice.org/ai-ge

    #AIdetection #AImusic #AIgeneratedbooks #BarnesandNoble #chatGPT

  41. News Summary: Librarians Propose Fairer E-book Pricing Model; Commonwealth Prize Verifies Winners without AI Detectors

    Following on from recent discussion in this column about what it costs libraries to buy the license for e-books, thanks to Jane Friedman for linking to this fascinating article which outlines exactly what libraries would like to see in this regard. What it attempts to describe is what librarians actually mean when they call for fairer pricing from big publishers.
    The post News Summary: Librarians Propose Fairer E-book Pricing Model; Commonwealth Prize Verifies Winners without AI Detectors appeared first on The Self-Publishing Advice Center.
    selfpublishingadvice.org/libra

    #AIallegations #AIdetection #CommonwealthShortStoryPrize #fairlicensing #Granta

  42. News Summary: Librarians Propose Fairer E-book Pricing Model; Commonwealth Prize Verifies Winners without AI Detectors

    Following on from recent discussion in this column about what it costs libraries to buy the license for e-books, thanks to Jane Friedman for linking to this fascinating article which outlines exactly what libraries would like to see in this regard. What it attempts to describe is what librarians actually mean when they call for fairer pricing from big publishers.
    The post News Summary: Librarians Propose Fairer E-book Pricing Model; Commonwealth Prize Verifies Winners without AI Detectors appeared first on The Self-Publishing Advice Center.
    selfpublishingadvice.org/libra

    #AIallegations #AIdetection #CommonwealthShortStoryPrize #fairlicensing #Granta

  43. My go-to tests for any startup doing AI detection on text are my own master's thesis (2011), a random chapter from The Hobbit, and a new text generated by a local Olama. So far, no detector has reliably detected all three of them correctly.
    Interestingly, the biggest problem seems to be detecting that Tolkien certainly did not use AI to write The Hobbit.

  44. My go-to tests for any startup doing AI detection on text are my own master's thesis (2011), a random chapter from The Hobbit, and a new text generated by a local Olama. So far, no detector has reliably detected all three of them correctly.
    Interestingly, the biggest problem seems to be detecting that Tolkien certainly did not use AI to write The Hobbit.
    #AI #AIdetection

  45. News Summary: Kobo CEO Reveals 45% of Self-Published Submissions Rejected for Suspected AI Content

    I missed this story when it first came out a fortnight ago (I think because the title of the article by Rakuten Kobo's Russ Tamblyn is decidedly oblique, so I just moved on). Fortunately the substantive content has generated several more helpfully titled spinout columns since then, so I'm circling back to the original. A single sentence is at the heart of this piece, and it contains a figure that provides additional context for much of the recent debate over AI-generated content. Tamblyn is speaking in his capacity as president and CEO at Rakuten Kobo.
    selfpublishingadvice.org/suspe

    #AIdetection #AIgeneratedbooks #BarnesandNoble #indiepublishing #jamesdaunt

  46. News Summary: Kobo CEO Reveals 45% of Self-Published Submissions Rejected for Suspected AI Content

    I missed this story when it first came out a fortnight ago (I think because the title of the article by Rakuten Kobo's Russ Tamblyn is decidedly oblique, so I just moved on). Fortunately the substantive content has generated several more helpfully titled spinout columns since then, so I'm circling back to the original. A single sentence is at the heart of this piece, and it contains a figure that provides additional context for much of the recent debate over AI-generated content. Tamblyn is speaking in his capacity as president and CEO at Rakuten Kobo.
    selfpublishingadvice.org/suspe

    #AIdetection #AIgeneratedbooks #BarnesandNoble #indiepublishing #jamesdaunt

  47. I have tested several AI image detection tools and wrote a little blog about it.

    wuethri.ch/is-this-image-ai-ge

    #ai #aidetection

  48. New York Times: Student Cheating Is Becoming Impossible to Detect in an A.I. Era. This link goes to a gift article. “Humanizers rewrite A.I.-produced text to make it sound less robotic, formulaic and trite. Autotypers slowly drip words and sentences into documents, making it appear as if papers were typed at a human pace when in fact, they were produced by A.I. They even fabricate typos, […]

    https://rbfirehose.com/2026/06/21/new-york-times-student-cheating-is-becoming-impossible-to-detect-in-an-a-i-era/