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Hacker NewsWhat GPT-OSS leaks about OpenAI's training data<a href="https://fi-le.net/oss/" rel="nofollow noopener" translate="no" target="_blank">https://fi-le.net/oss/</a><a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#HackerNews</a> <a href="https://mastodon.social/tags/GPTOSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#GPTOSS</a> <a href="https://mastodon.social/tags/OpenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenAI</a> <a href="https://mastodon.social/tags/TrainingData" class="mention hashtag" rel="nofollow noopener" target="_blank">#TrainingData</a> <a href="https://mastodon.social/tags/DataLeak" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataLeak</a> <a href="https://mastodon.social/tags/AIResearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIResearch</a>

netromLinkedIn is going to use our data as AI training fuel on November 3. This is unacceptable!Remember to:<ul><li>Disable "Use my data for training content creation AI models".</li><li>Send a Data Processing Objection Form and select "Object to processing for training content-generating AI models".</li><li>Remove all information not wanting to be used for training fuel (Yes, this is basically all information.. Ugh).</li></ul><a href="https://proton.me/blog/linkedin-ai-training" rel="nofollow noopener" translate="no" target="_blank">https://proton.me/blog/linkedin-ai-training</a><a href="https://infosec.exchange/tags/linkedin" class="mention hashtag" rel="nofollow noopener" target="_blank">#linkedin</a> <a href="https://infosec.exchange/tags/linkedin_optout" class="mention hashtag" rel="nofollow noopener" target="_blank">#linkedin_optout</a> <a href="https://infosec.exchange/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai</a> <a href="https://infosec.exchange/tags/training" class="mention hashtag" rel="nofollow noopener" target="_blank">#training</a> <a href="https://infosec.exchange/tags/TrainingData" class="mention hashtag" rel="nofollow noopener" target="_blank">#TrainingData</a>

Will Briennow thinking about making the jump once I get time to do it properly… which could be November at this pace, who knows <a href="https://infosec.exchange/tags/plex" class="mention hashtag" rel="nofollow noopener" target="_blank">#plex</a> <a href="https://infosec.exchange/tags/jellyfin" class="mention hashtag" rel="nofollow noopener" target="_blank">#jellyfin</a> <a href="https://infosec.exchange/tags/trainingdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#trainingdata</a> <a href="https://jellyfin.org/downloads/" rel="nofollow noopener" translate="no" target="_blank">https://jellyfin.org/downloads/</a>

beSpacificVia <a href="https://newsie.social/tags/LLRX" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLRX</a> - How <a href="https://newsie.social/tags/poisoned" class="mention hashtag" rel="nofollow noopener" target="_blank">#poisoned</a> <a href="https://newsie.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#data</a> can trick <a href="https://newsie.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> − and how to stop it – Hadi Amini and Ervin Moore discuss how the quality of the <a href="https://newsie.social/tags/information" class="mention hashtag" rel="nofollow noopener" target="_blank">#information</a> that the AI offers depends on the quality of the data it learns from. But if someone tries to interfere by tampering with their <a href="https://newsie.social/tags/trainingdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#trainingdata</a> – either the initial data used to build the system or data the system collects as it’s operating to improve – trouble could ensue. <a href="https://newsie.social/tags/learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#learning</a> <a href="https://newsie.social/tags/prompting" class="mention hashtag" rel="nofollow noopener" target="_blank">#prompting</a> <a href="https://newsie.social/tags/Education" class="mention hashtag" rel="nofollow noopener" target="_blank">#Education</a> <a href="https://newsie.social/tags/truth" class="mention hashtag" rel="nofollow noopener" target="_blank">#truth</a> <a href="https://newsie.social/tags/facts" class="mention hashtag" rel="nofollow noopener" target="_blank">#facts</a> <a href="https://newsie.social/tags/knowledge" class="mention hashtag" rel="nofollow noopener" target="_blank">#knowledge</a> <a href="https://newsie.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#data</a> <a href="https://www.llrx.com/2025/08/how-poisoned-data-can-trick-ai-and-how-to-stop-it/" rel="nofollow noopener" translate="no" target="_blank">https://www.llrx.com/2025/08/how-poisoned-data-can-trick-ai-and-how-to-stop-it/</a>

Monika BargetAs part of an <a href="https://mastodon.social/@AtriumBerlin" class="u-url mention" rel="nofollow noopener" target="_blank">@AtriumBerlin</a> workshop, my colleague Susan & I are trying to prepare <a href="https://akademienl.social/tags/trainingdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#trainingdata</a> to build a special <a href="https://akademienl.social/tags/HTR" class="mention hashtag" rel="nofollow noopener" target="_blank">#HTR</a> model for early 20th-century handwriting from the British Isles in <a href="https://akademienl.social/tags/escriptorium" class="mention hashtag" rel="nofollow noopener" target="_blank">#escriptorium</a>. Unfortunately, none of the existing <a href="https://akademienl.social/tags/kraken" class="mention hashtag" rel="nofollow noopener" target="_blank">#kraken</a> models worked as a basis. We are now experimenting with different hands & image qualities. Dirty images (see below) distorted our model, so we focus on clean samples. Are other researchers interested in codeveloping a ground truth with us? Let us know!

Mark CarriganThe visibility of academics will be shaped through LLMs as much as social media in futureThis observation by the <a href="https://www.platformer.news/productivity-tools-ai-2025/?ref=platformer-newsletter" rel="nofollow noopener" target="_blank">tech journalist Casey Newton</a> got me thinking about how LLMs are increasingly shaping the visibility of academics: <blockquote>Thinking models have gotten surprisingly good at identifying potential sources — potentially academic ones. When writing <a href="https://www.platformer.news/grok-ani-app-store-rating-nsfw-avatar-apple/" rel="nofollow noopener" target="_blank">about Grok last month</a>, I wanted to talk to someone who had studied relationships between people and chatbots. ChatGPT led me to Harvard’s Center for Digital Thriving, and suggested someone to talk to, along with their email address. I wound up interviewing them for the piece. The fact that thinking models can quickly analyze the academic literature about any subject and identify prominent researchers on the subject, along with their email addresses and phone numbers, is beginning to save me a lot of Googling.</blockquote>I realised early on that I was more visible in model responses (ChatGPT and Claude) than other academics of a comparable age, career stage and influence* which I assumed was because 6000 blog posts hosted on wordpress.com were gobbled up in training. It could talk at greater length, with more accuracy, about my work then it could about other academics because my online visibility translated into model visibility. I suspect this also means I’m more prone to being suggested by the model for a topical discussion in the way that Casey points to when looking for experts to interview, though I’m unsure how to go about establishing this. The value of a long term blog also means that I figure prominently as a source for ChatGPT and software like Perplexity. Interestingly, I don’t recall ever seeing a single referral from Claude. In the last year I’ve had more referrals to this blog from ChatGPT than I have from Facebook or Bluesky, though interestingly LinkedIn drives more traffic. In other words there’s a complex relationship between online visibility and model visibility. Given that online visibility is the key driver which led social media to be institutionalised into higher education in the UK, this is very significant for academic careers even if it takes a long time for it to consolidate into a widely recognised incentive structure. What other factors lead to increased model visibility? Ultimately this is a matter of visibility within the training data, but the patterns of visibility produced by this are challenging to conceptualise. What are the positive and negative outcomes of increased model visibility? Casey illustrates one in terms of visibility to journalists but there are many others. *I did this in a very impressionistic way but it would be interesting to do this as a robust quantitative exercise. <a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://markcarrigan.net/tag/casey-newton/" target="_blank">#CaseyNewton</a> <a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://markcarrigan.net/tag/generative-ai-for-academics/" target="_blank">#GenerativeAIForAcademics</a> <a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://markcarrigan.net/tag/higher-education-2/" target="_blank">#higherEducation</a> <a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://markcarrigan.net/tag/social-media/" target="_blank">#SocialMedia</a> <a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://markcarrigan.net/tag/social-media-for-academics-2/" target="_blank">#socialMediaForAcademics</a> <a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://markcarrigan.net/tag/training-data/" target="_blank">#trainingData</a> <a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://markcarrigan.net/tag/visibility/" target="_blank">#visibility</a> <a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://markcarrigan.net/tag/wordpress/" target="_blank">#wordpress</a>

Hacker NewsFmllm: 4mb training data, 100mb model, Fibonacci embeddings, near-coherent. WTF?<a href="https://github.com/henrygabriels/FMLLM/blob/main/README.md" rel="nofollow noopener" translate="no" target="_blank">https://github.com/henrygabriels/FMLLM/blob/main/README.md</a><a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#HackerNews</a> <a href="https://mastodon.social/tags/Fmllm" class="mention hashtag" rel="nofollow noopener" target="_blank">#Fmllm</a> <a href="https://mastodon.social/tags/Fibonacci" class="mention hashtag" rel="nofollow noopener" target="_blank">#Fibonacci</a> <a href="https://mastodon.social/tags/embeddings" class="mention hashtag" rel="nofollow noopener" target="_blank">#embeddings</a> <a href="https://mastodon.social/tags/trainingdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#trainingdata</a> <a href="https://mastodon.social/tags/model" class="mention hashtag" rel="nofollow noopener" target="_blank">#model</a> <a href="https://mastodon.social/tags/WTF" class="mention hashtag" rel="nofollow noopener" target="_blank">#WTF</a> <a href="https://mastodon.social/tags/technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#technology</a> <a href="https://mastodon.social/tags/innovation" class="mention hashtag" rel="nofollow noopener" target="_blank">#innovation</a>

HabileData6 Essential Data Annotation Techniques that Drive Computer VisionOur latest video on the 6 common types of annotation in Computer Vision reveals how the perfect blend of human intelligence and cutting-edge data annotation techniques can significantly enhance the performance and scalability of your AI and ML models.<a href="https://www.youtube.com/watch?v=EHXVzz7VHvo" rel="nofollow noopener" translate="no" target="_blank">https://www.youtube.com/watch?v=EHXVzz7VHvo</a><a href="https://mastodon.social/tags/dataannotation" class="mention hashtag" rel="nofollow noopener" target="_blank">#dataannotation</a> <a href="https://mastodon.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#artificialintelligence</a> <a href="https://mastodon.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machinelearning</a> <a href="https://mastodon.social/tags/trainingdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#trainingdata</a> <a href="https://mastodon.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#data</a>

☮ ♥ ♬ 🧑‍💻“Suno, for those of you not familiar, is an <a href="https://ioc.exchange/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://ioc.exchange/tags/SongGenerator" class="mention hashtag" rel="nofollow noopener" target="_blank">#SongGenerator</a>: enter a text prompt (such as “a jazz, reggae, EDM pop song about my imagination”) and a song comes back. Like many <a href="https://ioc.exchange/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#GenerativeAI</a> companies, it is also being sued by all and sundry for ingesting <a href="https://ioc.exchange/tags/copyrighted" class="mention hashtag" rel="nofollow noopener" target="_blank">#copyrighted</a> <a href="https://ioc.exchange/tags/material" class="mention hashtag" rel="nofollow noopener" target="_blank">#material</a>. The parties in the suit — including major labels and the <a href="https://ioc.exchange/tags/RIAA" class="mention hashtag" rel="nofollow noopener" target="_blank">#RIAA</a> — don’t have a smoking gun, since they can’t directly peek at Suno’s <a href="https://ioc.exchange/tags/TrainingData" class="mention hashtag" rel="nofollow noopener" target="_blank">#TrainingData</a>. But they have managed to generate some suspiciously similar-sounding AI generated materials, <a href="https://ioc.exchange/tags/mimicking" class="mention hashtag" rel="nofollow noopener" target="_blank">#mimicking</a> (among others) “Johnny B. Goode,” “Great Balls of Fire,” and Jason Derulo’s habit of singing his own name.<a href="https://ioc.exchange/tags/Suno" class="mention hashtag" rel="nofollow noopener" target="_blank">#Suno</a> essentially admits these songs were <a href="https://ioc.exchange/tags/regurgitated" class="mention hashtag" rel="nofollow noopener" target="_blank">#regurgitated</a> from <a href="https://ioc.exchange/tags/copyrighted" class="mention hashtag" rel="nofollow noopener" target="_blank">#copyrighted</a> source material, but it says such use was legal. “It is no secret that the tens of millions of <a href="https://ioc.exchange/tags/recordings" class="mention hashtag" rel="nofollow noopener" target="_blank">#recordings</a> that Suno’s model was trained on presumably included recordings whose rights are owned by the Plaintiffs in this case,” it says in its own legal filing. Whether AI training data constitutes fair use is a common but unsettled legal argument, and the plaintiffs contend Suno still amounts to “pervasive <a href="https://ioc.exchange/tags/illegal" class="mention hashtag" rel="nofollow noopener" target="_blank">#illegal</a> <a href="https://ioc.exchange/tags/copying" class="mention hashtag" rel="nofollow noopener" target="_blank">#copying</a>” of artists’ works.”<a href="https://ioc.exchange/tags/NYA" class="mention hashtag" rel="nofollow noopener" target="_blank">#NYA</a> / <a href="https://ioc.exchange/tags/music" class="mention hashtag" rel="nofollow noopener" target="_blank">#music</a> / <a href="https://ioc.exchange/tags/ElizabethLopatto" class="mention hashtag" rel="nofollow noopener" target="_blank">#ElizabethLopatto</a> / <a href="https://ioc.exchange/tags/amazon" class="mention hashtag" rel="nofollow noopener" target="_blank">#amazon</a> / <a href="https://ioc.exchange/tags/DataTheft" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataTheft</a> <<a href="https://neilyoungarchives.com/news/3/article?id=Music%20-%20Amazon%20is%20blundering%20into%20an%20AI%20copyright%20nightmare" rel="nofollow noopener" translate="no" target="_blank">https://neilyoungarchives.com/news/3/article?id=Music%20-%20Amazon%20is%20blundering%20into%20an%20AI%20copyright%20nightmare</a>>

Unofficial PetaPixel BotEthical AI Image Generator Bria Releases Next-Gen Model That Didn’t Steal Your Data <a href="https://petapixel.com/2025/07/01/ethical-ai-image-generator-bria-releases-next-gen-model-that-didnt-steal-your-data/" rel="nofollow noopener" translate="no" target="_blank">https://petapixel.com/2025/07/01/ethical-ai-image-generator-bria-releases-next-gen-model-that-didnt-steal-your-data/</a> <a href="https://toot.earth/tags/aiimagegenerator" class="mention hashtag" rel="nofollow noopener" target="_blank">#aiimagegenerator</a> <a href="https://toot.earth/tags/trainingdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#trainingdata</a> <a href="https://toot.earth/tags/Technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#Technology</a> <a href="https://toot.earth/tags/ethicalai" class="mention hashtag" rel="nofollow noopener" target="_blank">#ethicalai</a> <a href="https://toot.earth/tags/News" class="mention hashtag" rel="nofollow noopener" target="_blank">#News</a> <a href="https://toot.earth/tags/bria" class="mention hashtag" rel="nofollow noopener" target="_blank">#bria</a>

Ars Technica NewsAnthropic destroyed millions of print books to build its AI models <a href="https://arstechni.ca/YLWE" rel="nofollow noopener" translate="no" target="_blank">https://arstechni.ca/YLWE</a> <a href="https://c.im/tags/InternetArchive" class="mention hashtag" rel="nofollow noopener" target="_blank">#InternetArchive</a> <a href="https://c.im/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machinelearning</a> <a href="https://c.im/tags/AIdevelopment" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIdevelopment</a> <a href="https://c.im/tags/bookscanning" class="mention hashtag" rel="nofollow noopener" target="_blank">#bookscanning</a> <a href="https://c.im/tags/legalrulings" class="mention hashtag" rel="nofollow noopener" target="_blank">#legalrulings</a> <a href="https://c.im/tags/trainingdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#trainingdata</a> <a href="https://c.im/tags/AIcompanies" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIcompanies</a> <a href="https://c.im/tags/googlebooks" class="mention hashtag" rel="nofollow noopener" target="_blank">#googlebooks</a> <a href="https://c.im/tags/AIresearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIresearch</a> <a href="https://c.im/tags/AItraining" class="mention hashtag" rel="nofollow noopener" target="_blank">#AItraining</a> <a href="https://c.im/tags/Anthropic" class="mention hashtag" rel="nofollow noopener" target="_blank">#Anthropic</a> <a href="https://c.im/tags/copyright" class="mention hashtag" rel="nofollow noopener" target="_blank">#copyright</a> <a href="https://c.im/tags/AIethics" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIethics</a> <a href="https://c.im/tags/scanning" class="mention hashtag" rel="nofollow noopener" target="_blank">#scanning</a> <a href="https://c.im/tags/fairuse" class="mention hashtag" rel="nofollow noopener" target="_blank">#fairuse</a> <a href="https://c.im/tags/Biz" class="mention hashtag" rel="nofollow noopener" target="_blank">#Biz</a>&IT <a href="https://c.im/tags/Policy" class="mention hashtag" rel="nofollow noopener" target="_blank">#Policy</a> <a href="https://c.im/tags/Claude" class="mention hashtag" rel="nofollow noopener" target="_blank">#Claude</a> <a href="https://c.im/tags/AIlaw" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIlaw</a> <a href="https://c.im/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a>

IT NewsAnthropic destroyed millions of print books to build its AI models - On Monday, court documents revealed that AI company Anthropi... - <a href="https://arstechnica.com/ai/2025/06/anthropic-destroyed-millions-of-print-books-to-build-its-ai-models/" rel="nofollow noopener" translate="no" target="_blank">https://arstechnica.com/ai/2025/06/anthropic-destroyed-millions-of-print-books-to-build-its-ai-models/</a> <a href="https://schleuss.online/tags/internetarchive" class="mention hashtag" rel="nofollow noopener" target="_blank">#internetarchive</a> <a href="https://schleuss.online/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machinelearning</a> <a href="https://schleuss.online/tags/aidevelopment" class="mention hashtag" rel="nofollow noopener" target="_blank">#aidevelopment</a> <a href="https://schleuss.online/tags/bookscanning" class="mention hashtag" rel="nofollow noopener" target="_blank">#bookscanning</a> <a href="https://schleuss.online/tags/legalrulings" class="mention hashtag" rel="nofollow noopener" target="_blank">#legalrulings</a> <a href="https://schleuss.online/tags/trainingdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#trainingdata</a> <a href="https://schleuss.online/tags/aicompanies" class="mention hashtag" rel="nofollow noopener" target="_blank">#aicompanies</a> <a href="https://schleuss.online/tags/googlebooks" class="mention hashtag" rel="nofollow noopener" target="_blank">#googlebooks</a> <a href="https://schleuss.online/tags/airesearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#airesearch</a> <a href="https://schleuss.online/tags/aitraining" class="mention hashtag" rel="nofollow noopener" target="_blank">#aitraining</a> <a href="https://schleuss.online/tags/anthropic" class="mention hashtag" rel="nofollow noopener" target="_blank">#anthropic</a> <a href="https://schleuss.online/tags/copyright" class="mention hashtag" rel="nofollow noopener" target="_blank">#copyright</a> <a href="https://schleuss.online/tags/aiethics" class="mention hashtag" rel="nofollow noopener" target="_blank">#aiethics</a> <a href="https://schleuss.online/tags/scanning" class="mention hashtag" rel="nofollow noopener" target="_blank">#scanning</a> <a href="https://schleuss.online/tags/fairuse" class="mention hashtag" rel="nofollow noopener" target="_blank">#fairuse</a> <a href="https://schleuss.online/tags/biz" class="mention hashtag" rel="nofollow noopener" target="_blank">#biz</a>⁢ <a href="https://schleuss.online/tags/policy" class="mention hashtag" rel="nofollow noopener" target="_blank">#policy</a> <a href="https://schleuss.online/tags/claude" class="mention hashtag" rel="nofollow noopener" target="_blank">#claude</a> <a href="https://schleuss.online/tags/ailaw" class="mention hashtag" rel="nofollow noopener" target="_blank">#ailaw</a> <a href="https://schleuss.online/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai</a>

eicker.news ᳇ tech news<a href="https://eicker.news/tags/MIT" class="mention hashtag" rel="nofollow noopener" target="_blank">#MIT</a> researchers developed a method called <a href="https://eicker.news/tags/SelfAdapting" class="mention hashtag" rel="nofollow noopener" target="_blank">#SelfAdapting</a> <a href="https://eicker.news/tags/LanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#LanguageModels</a> (<a href="https://eicker.news/tags/SEAL" class="mention hashtag" rel="nofollow noopener" target="_blank">#SEAL</a>) that enables large language models to continuously <a href="https://eicker.news/tags/learn" class="mention hashtag" rel="nofollow noopener" target="_blank">#learn</a> and <a href="https://eicker.news/tags/improve" class="mention hashtag" rel="nofollow noopener" target="_blank">#improve</a> by generating <a href="https://eicker.news/tags/synthetic" class="mention hashtag" rel="nofollow noopener" target="_blank">#synthetic</a> <a href="https://eicker.news/tags/trainingdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#trainingdata</a> and updating their parameters based on new information. <a href="https://www.wired.com/story/this-ai-model-never-stops-learning/?eicker.news" rel="nofollow noopener" translate="no" target="_blank">https://www.wired.com/story/this-ai-model-never-stops-learning/?eicker.news</a> <a href="https://eicker.news/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#tech</a> <a href="https://eicker.news/tags/media" class="mention hashtag" rel="nofollow noopener" target="_blank">#media</a> <a href="https://eicker.news/tags/news" class="mention hashtag" rel="nofollow noopener" target="_blank">#news</a>

☮ ♥ ♬ 🧑‍💻“Broad didn’t train his <a href="https://ioc.exchange/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> on <a href="https://ioc.exchange/tags/Rothko" class="mention hashtag" rel="nofollow noopener" target="_blank">#Rothko</a>; he didn’t train it on any <a href="https://ioc.exchange/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#data</a> at all. By hacking a <a href="https://ioc.exchange/tags/NeuralNetwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#NeuralNetwork</a>, and locking elements of it into a <a href="https://ioc.exchange/tags/recursive" class="mention hashtag" rel="nofollow noopener" target="_blank">#recursive</a> <a href="https://ioc.exchange/tags/loop" class="mention hashtag" rel="nofollow noopener" target="_blank">#loop</a>, he was able to induce this AI into producing <a href="https://ioc.exchange/tags/images" class="mention hashtag" rel="nofollow noopener" target="_blank">#images</a> without any <a href="https://ioc.exchange/tags/TrainingData" class="mention hashtag" rel="nofollow noopener" target="_blank">#TrainingData</a> at all — no inputs, no influences. Depending on your perspective, Broad’s art is either a pioneering display of pure artificial creativity, a look into the very soul of AI, or a clever but meaningless electronic by-product, closer to guitar feedback than music. In any case, his work points the way toward a more creative and ethical use of <a href="https://ioc.exchange/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#GenerativeAI</a> beyond the large-scale manufacture of <a href="https://ioc.exchange/tags/DerivativeSlop" class="mention hashtag" rel="nofollow noopener" target="_blank">#DerivativeSlop</a> now oozing through our visual culture.”<a href="https://ioc.exchange/tags/Art" class="mention hashtag" rel="nofollow noopener" target="_blank">#Art</a> / <a href="https://ioc.exchange/tags/TerenceBroad" class="mention hashtag" rel="nofollow noopener" target="_blank">#TerenceBroad</a> / <a href="https://ioc.exchange/tags/UnstableEquilibrium" class="mention hashtag" rel="nofollow noopener" target="_blank">#UnstableEquilibrium</a> <<a href="https://www.theverge.com/ai-artificial-intelligence/688576/feed-ai-nothing" rel="nofollow noopener" translate="no" target="_blank">https://www.theverge.com/ai-artificial-intelligence/688576/feed-ai-nothing</a>>

Unofficial PetaPixel BotDisney and Universal Studios Sue AI Image Generator Midjourney Over Copyright <a href="https://petapixel.com/2025/06/11/disney-and-universal-studios-sue-ai-image-generator-midjourney-over-copyright/" rel="nofollow noopener" translate="no" target="_blank">https://petapixel.com/2025/06/11/disney-and-universal-studios-sue-ai-image-generator-midjourney-over-copyright/</a> <a href="https://toot.earth/tags/aiimagegenerator" class="mention hashtag" rel="nofollow noopener" target="_blank">#aiimagegenerator</a> <a href="https://toot.earth/tags/universalstudios" class="mention hashtag" rel="nofollow noopener" target="_blank">#universalstudios</a> <a href="https://toot.earth/tags/generativeai" class="mention hashtag" rel="nofollow noopener" target="_blank">#generativeai</a> <a href="https://toot.earth/tags/trainingdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#trainingdata</a> <a href="https://toot.earth/tags/aicopyright" class="mention hashtag" rel="nofollow noopener" target="_blank">#aicopyright</a> <a href="https://toot.earth/tags/midjourney" class="mention hashtag" rel="nofollow noopener" target="_blank">#midjourney</a> <a href="https://toot.earth/tags/disney" class="mention hashtag" rel="nofollow noopener" target="_blank">#disney</a> <a href="https://toot.earth/tags/News" class="mention hashtag" rel="nofollow noopener" target="_blank">#News</a> <a href="https://toot.earth/tags/Law" class="mention hashtag" rel="nofollow noopener" target="_blank">#Law</a>

Erik JonkerJust wondering how you collect as much Mastodon content as possible for AI training purposes ? <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://mastodon.social/tags/Mastodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#Mastodon</a> <a href="https://mastodon.social/tags/trainingdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#trainingdata</a>

Steven Carneiro"Spurious correlations": <a href="https://social.vivaldi.net/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai</a> <a href="https://social.vivaldi.net/tags/llm" class="mention hashtag" rel="nofollow noopener" target="_blank">#llm</a> <a href="https://social.vivaldi.net/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machinelearning</a> <a href="https://social.vivaldi.net/tags/trainingdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#trainingdata</a> <a href="https://social.vivaldi.net/tags/scienceandtechnology" class="mention hashtag" rel="nofollow noopener" target="_blank">#scienceandtechnology</a> 🤖<a href="https://techxplore.com/news/2025-04-technique-spurious-problem-ai.html" rel="nofollow noopener" translate="no" target="_blank">https://techxplore.com/news/2025-04-technique-spurious-problem-ai.html</a>

Toni AittoniemiOpen Web Crawl is such a security vulnerability, that I don’t know why it isn’t the top of the news every day.If you turn on a general suction hose, how do you not realise there’s going to be a party of attackers right there feeding it all the <a href="https://mastodon.green/tags/propaganda" class="mention hashtag" rel="nofollow noopener" target="_blank">#propaganda</a> they possibly can? How can you be so nonchalant about it? How do you not realise you created the biggest attack vector in the history of computing?<a href="https://mastodon.green/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai</a> <a href="https://mastodon.green/tags/trainingdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#trainingdata</a> <a href="https://mastodon.green/tags/crawlers" class="mention hashtag" rel="nofollow noopener" target="_blank">#crawlers</a>

CCIA Europe🚀 The EU’s <a href="https://eupolicy.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> Challenge: Can Europe Compete Without Enough <a href="https://eupolicy.social/tags/TrainingData" class="mention hashtag" rel="nofollow noopener" target="_blank">#TrainingData</a>? Daniel Friedlaender explains why AI <a href="https://eupolicy.social/tags/innovation" class="mention hashtag" rel="nofollow noopener" target="_blank">#innovation</a> depends on <a href="https://eupolicy.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#data</a> diversity – and how outdated <a href="https://eupolicy.social/tags/privacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#privacy</a> approaches are a disadvantage in the global AI race.<a href="https://eupolicy.social/tags/AIAct" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIAct</a> <a href="https://eupolicy.social/tags/DataProtection" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataProtection</a> <a href="https://eupolicy.social/tags/EuropeanAIroundtable" class="mention hashtag" rel="nofollow noopener" target="_blank">#EuropeanAIroundtable</a> <a href="https://www.youtube.com/watch?v=hEAzCWVjdu4" rel="nofollow noopener" translate="no" target="_blank">https://www.youtube.com/watch?v=hEAzCWVjdu4</a>

Kevin Dominik KorteThe recent copyright decisions against AI have made it imperative to rethink how we train AI. Ultimately, we should aim to build a free training data repository to train genuinely free AI. <a href="https://fosstodon.org/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://fosstodon.org/tags/trainingdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#trainingdata</a> <a href="https://www.korte.co/3iqx" rel="nofollow noopener" translate="no" target="_blank">https://www.korte.co/3iqx</a>

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