@b0rk We strive to stay open to new technology and new ways of doing things, while remaining focused on how things could and should be. You can see the aspirational statement we made about #generativeAI:

https://sfconservancy.org/news/2024/oct/25/aspirational-on-llm-generative-ai-programming/

We seek to frame things positively and meet people where they are while not shying away from difficult conversations

We choose to personally inconvenience ourselves so others experience freedom, even if it means we ourselves have to use more proprietary software. #sfc

@asrg Even if I laugh about the very ironic title (they clearly write that #AI is *no* existence or #intelligence that could die), this #zine is a good compilation for critical questions to ask and for thinking about #AIEthics and rules. A first starter for #activism.

#LLM #genAI #generativeAI #zines #resist #solarpunkSunday #luddites #noAI

That's Late Stage Capitalism for you:

"More than 20% of the videos that YouTube’s algorithm shows to new users are “AI slop” – low-quality AI-generated content designed to farm views, research has found.

The video-editing company Kapwing surveyed 15,000 of the world’s most popular YouTube channels – the top 100 in every country – and found that 278 of them contain only AI slop.

Together, these AI slop channels have amassed more than 63bn views and 221 million subscribers, generating about $117m (£90m) in revenue each year, according to estimates.

The researchers also made a new YouTube account and found that 104 of the first 500 videos recommended to its feed were AI slop. One-third of the 500 videos were “brainrot”, a category that includes AI slop and other low-quality content made to monetise attention.

The findings are a snapshot of a rapidly expanding industry that is saturating big social media platforms – from X to Meta to YouTube – and defining a new era of content: decontextualised, addictive and international.

A Guardian analysis this year found that nearly 10% of YouTube’s fastest-growing channels were AI slop, racking up millions of views despite the platform’s efforts to curb “inauthentic content”."

https://www.theguardian.com/technology/2025/dec/27/more-than-20-of-videos-shown-to-new-youtube-users-are-ai-slop-study-finds

#AI #GenerativeAI #GeneratedVideos #AISlop #YouTube

That's Late Stage Capitalism for you:

"More than 20% of the videos that YouTube’s algorithm shows to new users are “AI slop” – low-quality AI-generated content designed to farm views, research has found.

The video-editing company Kapwing surveyed 15,000 of the world’s most popular YouTube channels – the top 100 in every country – and found that 278 of them contain only AI slop.

Together, these AI slop channels have amassed more than 63bn views and 221 million subscribers, generating about $117m (£90m) in revenue each year, according to estimates.

The researchers also made a new YouTube account and found that 104 of the first 500 videos recommended to its feed were AI slop. One-third of the 500 videos were “brainrot”, a category that includes AI slop and other low-quality content made to monetise attention.

The findings are a snapshot of a rapidly expanding industry that is saturating big social media platforms – from X to Meta to YouTube – and defining a new era of content: decontextualised, addictive and international.

A Guardian analysis this year found that nearly 10% of YouTube’s fastest-growing channels were AI slop, racking up millions of views despite the platform’s efforts to curb “inauthentic content”."

https://www.theguardian.com/technology/2025/dec/27/more-than-20-of-videos-shown-to-new-youtube-users-are-ai-slop-study-finds

#AI #GenerativeAI #GeneratedVideos #AISlop #YouTube

#AI will create a world of average - forever stuck in the past.

#Society #ArtificialIntelligence #LLMs #LLM #GenerativeAI

LoL. Would you expect any different outcome than this out of a industry built upon "citation cartels" where articles are made to be cited but not to be read?

"What Heiss came to realize in the course of vetting these papers was that AI-generated citations have now infested the world of professional scholarship, too. Each time he attempted to track down a bogus source in Google Scholar, he saw that dozens of other published articles had relied on findings from slight variations of the same made-up studies and journals.

“There have been lots of AI-generated articles, and those typically get noticed and retracted quickly,” Heiss tells Rolling Stone. He mentions a paper retracted earlier this month, which discussed the potential to improve autism diagnoses with an AI model and included a nonsensical infographic that was itself created with a text-to-image model. “But this hallucinated journal issue is slightly different,” he says.

That’s because articles which include references to nonexistent research material — the papers that don’t get flagged and retracted for this use of AI, that is — are themselves being cited in other papers, which effectively launders their erroneous citations. This leads to students and academics (and any large language models they may ask for help) identifying those “sources” as reliable without ever confirming their veracity. The more these false citations are unquestioningly repeated from one article to the next, the more the illusion of their authenticity is reinforced. Fake citations have turned into a nightmare for research librarians, who by some estimates are wasting up to 15 percent of their work hours responding to requests for nonexistent records that ChatGPT or Google Gemini alluded to."

https://www.rollingstone.com/culture/culture-features/ai-chatbot-journal-research-fake-citations-1235485484/

#AI #GenerativeAI #Hallucinations #Chatbots #LLMs #Science #AcademicPublishing

In the second issue of #IRRJ, Paul Kantor writes the editorial, arguing for a more critical adoption of generative AI in information retrieval. He puts his concerns under three distinct headings: consistency, confidence, and completeness. #GenAI, #GenerativeAI, #InformationRetrieval

https://irrj.org/article/view/25004

In the second issue of #IRRJ, Paul Kantor writes the editorial, arguing for a more critical adoption of generative AI in information retrieval. He puts his concerns under three distinct headings: consistency, confidence, and completeness. #GenAI, #GenerativeAI, #InformationRetrieval

https://irrj.org/article/view/25004

LoL. Would you expect any different outcome than this out of a industry built upon "citation cartels" where articles are made to be cited but not to be read?

"What Heiss came to realize in the course of vetting these papers was that AI-generated citations have now infested the world of professional scholarship, too. Each time he attempted to track down a bogus source in Google Scholar, he saw that dozens of other published articles had relied on findings from slight variations of the same made-up studies and journals.

“There have been lots of AI-generated articles, and those typically get noticed and retracted quickly,” Heiss tells Rolling Stone. He mentions a paper retracted earlier this month, which discussed the potential to improve autism diagnoses with an AI model and included a nonsensical infographic that was itself created with a text-to-image model. “But this hallucinated journal issue is slightly different,” he says.

That’s because articles which include references to nonexistent research material — the papers that don’t get flagged and retracted for this use of AI, that is — are themselves being cited in other papers, which effectively launders their erroneous citations. This leads to students and academics (and any large language models they may ask for help) identifying those “sources” as reliable without ever confirming their veracity. The more these false citations are unquestioningly repeated from one article to the next, the more the illusion of their authenticity is reinforced. Fake citations have turned into a nightmare for research librarians, who by some estimates are wasting up to 15 percent of their work hours responding to requests for nonexistent records that ChatGPT or Google Gemini alluded to."

https://www.rollingstone.com/culture/culture-features/ai-chatbot-journal-research-fake-citations-1235485484/

#AI #GenerativeAI #Hallucinations #Chatbots #LLMs #Science #AcademicPublishing

📣 #CALLFORPAPERS Ready for 2026? Next year's Weizenbaum Conference will be on the topic “ #GenerativeAI and Society: What is at stake?” We invite interested researchers to submit proposals for presentations on:
🔍 Working with GenAI: Accumulation, Productivity and Work Quality
🔍 GenAI in Knowledge Production: Epistemic Power and the Transformation of Expertise

Submit your paper until Jan 31st, 2026! 👉 https://www.weizenbaum-conference.de/call-for-papers/

📣 #CALLFORPAPERS Ready for 2026? Next year's Weizenbaum Conference will be on the topic “ #GenerativeAI and Society: What is at stake?” We invite interested researchers to submit proposals for presentations on:
🔍 Working with GenAI: Accumulation, Productivity and Work Quality
🔍 GenAI in Knowledge Production: Epistemic Power and the Transformation of Expertise

Submit your paper until Jan 31st, 2026! 👉 https://www.weizenbaum-conference.de/call-for-papers/

"A Full Fact investigation has found that a series of social media accounts have been using AI-generated deepfakes of real doctors and academics—including Professor Taylor-Robinson—to promote health products with bogus endorsements.

The result is a growing wave of AI-driven misinformation that risks damaging the reputations of those it impersonates, and could lead to people making decisions about their health based on fake claims."

https://fullfact.org/health/academics-deepfaked-tiktok-wellness-nest/

#AI #GenerativeAI #GeneratedVideos #DeepFakes #TikTok #Instagram

Ouch!

https://www.msn.com/en-us/news/technology/microsoft-has-a-problem-nobody-wants-its-poor-ai-products/ar-AA1RWB7f?utm_source=thinkingelixir&utm_medium=shownotes

#ai #generativeAI #microsoft

Sorry, servers of AI. We are a human-powered organization.

#CdnMedia #GenerativeAI

https://thetyee.ca/Tyeenews/2025/12/05/The-Tyee-New-AI-Policy/?utm_source=mastodon&utm_medium=social&utm_campaign=editorial

The Generative AI Industry Is Fraudulent, Immoral and Dangerous

https://dianne.skoll.ca/writings/ai-is-bad/

#HackerNews #GenerativeAI #Fraudulent #Immoral #Dangerous #TechEthics #AIConcerns