MastodonTech.de

AI6YR BenLOL apparently one of my daughter's projects in school was to fool an AI/machine learning engine to think a photo of one of the pet rabbits here was a coyote. (which apparently worked great). <a href="https://m.ai6yr.org/tags/cybersecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#cybersecurity</a> <a href="https://m.ai6yr.org/tags/datapoisoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#datapoisoning</a>

RasterInterruptThinking about blocking IPs of <a href="https://oldbytes.space/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> bots from <a href="https://oldbytes.space/tags/OpenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenAI</a> and sorts on your web server? There’s a better way: feed their scrapers loads of nonsensical data instead. I love that idea! 🤣<a href="https://algorithmic-sabotage.github.io/asrg/posts/sabot-in-the-age-of-ai/" rel="nofollow noopener" translate="no" target="_blank">https://algorithmic-sabotage.github.io/asrg/posts/sabot-in-the-age-of-ai/</a><a href="https://oldbytes.space/tags/DataPoisoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataPoisoning</a> <a href="https://oldbytes.space/tags/TechTips" class="mention hashtag" rel="nofollow noopener" target="_blank">#TechTips</a>

FriedemannWer sich über die vielen tollen Informationsangebote im Internet freut, sollte wissen:<a href="https://mastodon.online/tags/KI" class="mention hashtag" rel="nofollow noopener" target="_blank">#KI</a> 🤖 randaliert im Netz – <a href="https://mastodon.online/tags/Admins" class="mention hashtag" rel="nofollow noopener" target="_blank">#Admins</a> halten dagegen, damit wir Menschen ungestört surfen können.Lest mal, wie Admins ihre absolut frustrierende aber unsichtbare Abwehrarbeit gegen KI beschreiben – im Blog von <a href="https://bewegung.social/@campact" class="u-url mention" rel="nofollow noopener" target="_blank">@campact</a>: 👉 <a href="https://blog.campact.de/2025/05/ki-randaliert-im-netz-admins-halten-dagegen/" rel="nofollow noopener" translate="no" target="_blank">https://blog.campact.de/2025/05/ki-randaliert-im-netz-admins-halten-dagegen/</a>🙏 <a href="https://nerdculture.de/@flberger" class="u-url mention" rel="nofollow noopener" target="_blank">@flberger</a>❗Nicht vergessen: 25. Juli ist <a href="https://mastodon.online/tags/SysAdminDay" class="mention hashtag" rel="nofollow noopener" target="_blank">#SysAdminDay</a><a href="https://mastodon.online/tags/FediAdmins" class="mention hashtag" rel="nofollow noopener" target="_blank">#FediAdmins</a> <a href="https://mastodon.online/tags/KIScraping" class="mention hashtag" rel="nofollow noopener" target="_blank">#KIScraping</a> <a href="https://mastodon.online/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://mastodon.online/tags/AIScraping" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIScraping</a> <a href="https://mastodon.online/tags/TDM" class="mention hashtag" rel="nofollow noopener" target="_blank">#TDM</a> <a href="https://mastodon.online/tags/AdminLeiden" class="mention hashtag" rel="nofollow noopener" target="_blank">#AdminLeiden</a> <a href="https://mastodon.online/tags/MastoAdmin" class="mention hashtag" rel="nofollow noopener" target="_blank">#MastoAdmin</a> <a href="https://mastodon.online/tags/DataPoisoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataPoisoning</a> <a href="https://mastodon.online/tags/aitxt" class="mention hashtag" rel="nofollow noopener" target="_blank">#aitxt</a> <a href="https://mastodon.online/tags/GPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#GPT</a> <a href="https://mastodon.online/tags/TDMRep" class="mention hashtag" rel="nofollow noopener" target="_blank">#TDMRep</a>

Ramin Honary<a href="https://blog.pragmaticengineer.com/stack-overflow-is-almost-dead/" rel="nofollow noopener" target="_blank">The number of questions being asked on StackOverflow is dropping rapidly</a> Like cutting down a forest without growing new trees, the AI corporations seem to be consuming the natural raw material of their money-making machines faster than it can be replenished.Natural, human-generated information, be they works of art, or conversations about factual things like how to write software, are the source of training data for Large Language Models (LLMs), which is what people are calling “artificial intelligence” nowadays. LLM shops spend untold millions on curating the information they harvest to ensure this data is strictly human-generated and free of other LLM-generated content. If they do not do this, the non-factual “hallucinations” (fictional content) that these LLMs generate may come to dominate the factual human-made training data, making the answers that the LLMs generate increasingly more prone to hallucination.The Internet is already so full of LLM-generated content that it has become a major problem for these companies. The new LLMs are more and more often trained on fictional LLM-generated content that passes as factual and human-made, which is rapidly making LLMs less and less accurate as time goes on — a viscous downward spiral.But it gets worse. Thanks to all of the AI hype, everyone is asking questions of LLMs nowadays and not of other humans. So the source of these LLMs training data, web sites like StackOverflow and Reddit, are now no longer recording as many questions from humans to other humans. If that human-made information disappears, so does the source of natural resources that make it possible to build these LLMs.Even worse still, if there are any new innovations in science or technology, unless humans are asking question to the human innovators, the LLMs can’t learn about these things innovations either. Everyone will be stuck in this churning maelstrom of AI “slop,” asking only questions that have asked by millions of others before, and never receiving any true or accurate answers on new technology. And nobody, neither the humans nor the machines, will be learning anything new at all, while the LLMs become more and more prone to hallucinations with each new generation of AI released to the public.I think we are finally starting to see the real limitations of this LLM technology come into clear view, the rate at which it is innovating is simply not sustainable. Clearly pouring more and more money and energy into scaling up these LLM project will not lead to increased return-on-investment, and will definitely not lead to the “singularity” in which machine intelligence surpasses human intelligence. So how long before the masses finally realize they have been sold nothing but a bill of goods by these AI corporations?<a class="hashtag" href="https://fe.disroot.org/tag/tech" rel="nofollow noopener" target="_blank">#tech</a> <a class="hashtag" href="https://fe.disroot.org/tag/ai" rel="nofollow noopener" target="_blank">#AI</a> <a class="hashtag" href="https://fe.disroot.org/tag/slop" rel="nofollow noopener" target="_blank">#Slop</a> <a class="hashtag" href="https://fe.disroot.org/tag/llm" rel="nofollow noopener" target="_blank">#LLM</a> <a class="hashtag" href="https://fe.disroot.org/tag/generativeai" rel="nofollow noopener" target="_blank">#GenerativeAI</a> <a class="hashtag" href="https://fe.disroot.org/tag/chatgpt" rel="nofollow noopener" target="_blank">#ChatGPT</a> <a class="hashtag" href="https://fe.disroot.org/tag/openai" rel="nofollow noopener" target="_blank">#OpenAI</a> <a class="hashtag" href="https://fe.disroot.org/tag/google" rel="nofollow noopener" target="_blank">#Google</a> <a class="hashtag" href="https://fe.disroot.org/tag/gemini" rel="nofollow noopener" target="_blank">#Gemini</a> <a class="hashtag" href="https://fe.disroot.org/tag/metaai" rel="nofollow noopener" target="_blank">#MetaAI</a> <a class="hashtag" href="https://fe.disroot.org/tag/stackoverflow" rel="nofollow noopener" target="_blank">#StackOverflow</a> <a class="hashtag" href="https://fe.disroot.org/tag/reddit" rel="nofollow noopener" target="_blank">#Reddit</a> <a class="hashtag" href="https://fe.disroot.org/tag/datapoisoning" rel="nofollow noopener" target="_blank">#DataPoisoning</a>

ResearchBuzz: FirehoseFlorida International University: “Poisoned” AI models can unleash real-world chaos. Can these attacks be prevented?. “The majority of AI systems we encounter today — from ChatGPT to Netflix’s personalized recommendations — are only ‘intelligent’ enough to pull off such impressive feats because of the extensive amounts of text, imagery, speech and other data they are trained on. If […]<a href="https://rbfirehose.com/2025/04/27/florida-international-university-poisoned-ai-models-can-unleash-real-world-chaos-can-these-attacks-be-prevented/" class="" rel="nofollow noopener" target="_blank">https://rbfirehose.com/2025/04/27/florida-international-university-poisoned-ai-models-can-unleash-real-world-chaos-can-these-attacks-be-prevented/</a>

Manel GuerraGenerar contingut amb IA per contrarrestar l'excés de cerques amb IA. Què pot sortir malament? Al blog: Bloquejar cerques d'IA embrutant (també) dades <a href="https://www.manelguerra.com/blog/bloquejar-cerques-ia/" rel="nofollow noopener" translate="no" target="_blank">https://www.manelguerra.com/blog/bloquejar-cerques-ia/</a><a href="https://mastodont.cat/tags/blog" class="mention hashtag" rel="nofollow noopener" target="_blank">#blog</a> <a href="https://mastodont.cat/tags/ia" class="mention hashtag" rel="nofollow noopener" target="_blank">#ia</a> <a href="https://mastodont.cat/tags/rag" class="mention hashtag" rel="nofollow noopener" target="_blank">#rag</a> <a href="https://mastodont.cat/tags/datapoisoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#datapoisoning</a>

chribonnAI struggles with less common data: Inconsistent results for Valletta Bastions (actual mean height: 25m) highlight issues with insufficient training data. We also touch on AI poisoning. <a href="https://www.alanbonnici.com/2025/03/ai-got-it-wrong-missing-information-or.html" rel="nofollow noopener" translate="no" target="_blank">https://www.alanbonnici.com/2025/03/ai-got-it-wrong-missing-information-or.html</a> <a href="https://twit.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://twit.social/tags/DataBias" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataBias</a> <a href="https://twit.social/tags/Valletta" class="mention hashtag" rel="nofollow noopener" target="_blank">#Valletta</a> <a href="https://twit.social/tags/TTMO" class="mention hashtag" rel="nofollow noopener" target="_blank">#TTMO</a> <a href="https://twit.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#ArtificialIntelligence</a> <a href="https://twit.social/tags/hallucination" class="mention hashtag" rel="nofollow noopener" target="_blank">#hallucination</a> <a href="https://twit.social/tags/Mistakes" class="mention hashtag" rel="nofollow noopener" target="_blank">#Mistakes</a> <a href="https://twit.social/tags/TestingAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#TestingAI</a> <a href="https://twit.social/tags/InsufficientData" class="mention hashtag" rel="nofollow noopener" target="_blank">#InsufficientData</a> <a href="https://twit.social/tags/DataPoisoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataPoisoning</a>

hubertfA message you do not want to see when loading "just data" in your AI / ML framework. Beware!Description in comments.<a href="https://mastodon.social/tags/ctf" class="mention hashtag" rel="nofollow noopener" target="_blank">#ctf</a> <a href="https://mastodon.social/tags/HackTheBox" class="mention hashtag" rel="nofollow noopener" target="_blank">#HackTheBox</a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://mastodon.social/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#ML</a> <a href="https://mastodon.social/tags/CyberSecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#CyberSecurity</a> <a href="https://mastodon.social/tags/TensorFlow" class="mention hashtag" rel="nofollow noopener" target="_blank">#TensorFlow</a> <a href="https://mastodon.social/tags/DataPoisoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataPoisoning</a>

chribonnHow does AI handle insufficient information? 🤔 We tested an AI with questions about the Eiffel Tower, Big Ben, and the bastions of Valletta. The AI gave inconsistent answers when training data is limited or unclear. We also touch on AI poisoning, where AI models can be misled by fake data ▶️ <a href="https://buff.ly/yRDWPTf" rel="nofollow noopener" translate="no" target="_blank">https://buff.ly/yRDWPTf</a> <a href="https://twit.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://twit.social/tags/InsufficientData" class="mention hashtag" rel="nofollow noopener" target="_blank">#InsufficientData</a> <a href="https://twit.social/tags/DataPoisoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataPoisoning</a> <a href="https://twit.social/tags/EiffelTower" class="mention hashtag" rel="nofollow noopener" target="_blank">#EiffelTower</a> <a href="https://twit.social/tags/BigBen" class="mention hashtag" rel="nofollow noopener" target="_blank">#BigBen</a> <a href="https://twit.social/tags/Valletta" class="mention hashtag" rel="nofollow noopener" target="_blank">#Valletta</a> <a href="https://twit.social/tags/TestingAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#TestingAI</a> <a href="https://twit.social/tags/Accuracy" class="mention hashtag" rel="nofollow noopener" target="_blank">#Accuracy</a> <a href="https://twit.social/tags/TTMO" class="mention hashtag" rel="nofollow noopener" target="_blank">#TTMO</a>

FriedemannHi <a href="https://mastodon.online/tags/Admins" class="mention hashtag" rel="nofollow noopener" target="_blank">#Admins</a> 👋,Can you give me quotes that explain your fight against <a href="https://mastodon.online/tags/AIScraping" class="mention hashtag" rel="nofollow noopener" target="_blank">#AIScraping</a>? I'm looking for (verbal) images, metaphors, comparisons, etc. that explain to non-techies what's going on. (efforts, goals, resources...)I intend to publish your quotes in a text on <a href="https://mastodon.social/@campact" class="u-url mention" rel="nofollow noopener" target="_blank">@campact</a> 's blog¹ (DE, German NGO).The quotes should make your work🙏 visible in a generally understandable way¹ <a href="https://blog.campact.de/author/friedemann/" rel="nofollow noopener" translate="no" target="_blank">https://blog.campact.de/author/friedemann/</a><a href="https://mastodon.online/tags/TDM" class="mention hashtag" rel="nofollow noopener" target="_blank">#TDM</a> <a href="https://mastodon.online/tags/MastoAdmin" class="mention hashtag" rel="nofollow noopener" target="_blank">#MastoAdmin</a> <a href="https://mastodon.online/tags/DataPoisoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataPoisoning</a> <a href="https://mastodon.online/tags/aitxt" class="mention hashtag" rel="nofollow noopener" target="_blank">#aitxt</a> <a href="https://mastodon.online/tags/GPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#GPT</a> <a href="https://mastodon.online/tags/TDMRep" class="mention hashtag" rel="nofollow noopener" target="_blank">#TDMRep</a> <a href="https://mastodon.online/tags/Kudurru" class="mention hashtag" rel="nofollow noopener" target="_blank">#Kudurru</a> <a href="https://mastodon.online/tags/Nightshade" class="mention hashtag" rel="nofollow noopener" target="_blank">#Nightshade</a> <a href="https://mastodon.online/tags/Glaze" class="mention hashtag" rel="nofollow noopener" target="_blank">#Glaze</a> <a href="https://mastodon.online/tags/FediAdmins" class="mention hashtag" rel="nofollow noopener" target="_blank">#FediAdmins</a>

FriedemannLiebe <a href="https://mastodon.online/tags/Admins" class="mention hashtag" rel="nofollow noopener" target="_blank">#Admins</a> 👋, für meine <a href="https://mastodon.social/@campact" class="u-url mention" rel="nofollow noopener" target="_blank">@campact</a> -Kolumne¹ suche ich <a href="https://mastodon.online/tags/Techies" class="mention hashtag" rel="nofollow noopener" target="_blank">#Techies</a>, die der Welt da draußen den fight <a href="https://mastodon.online/tags/Admins" class="mention hashtag" rel="nofollow noopener" target="_blank">#Admins</a> vs. <a href="https://mastodon.online/tags/KIScraping" class="mention hashtag" rel="nofollow noopener" target="_blank">#KIScraping</a> erklären. Mit welchen Bildern, Metaphern, Vergleichen beschreibt ihr, was da abgeht? (Zeitaufwand, Sinn, Ressourcen, Tools…)Die Zitate sollen allgemeinverständlich eure Arbeit🙏 sichtbar machen. (namentlich, pseudoym, anonym → gern angeben)🙏🙏🙏¹<a href="https://blog.campact.de/author/friedemann/" rel="nofollow noopener" translate="no" target="_blank">https://blog.campact.de/author/friedemann/</a><a href="https://mastodon.online/tags/TDM" class="mention hashtag" rel="nofollow noopener" target="_blank">#TDM</a> <a href="https://mastodon.online/tags/AdminLeiden" class="mention hashtag" rel="nofollow noopener" target="_blank">#AdminLeiden</a> <a href="https://mastodon.online/tags/MastoAdmin" class="mention hashtag" rel="nofollow noopener" target="_blank">#MastoAdmin</a> <a href="https://mastodon.online/tags/DataPoisoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataPoisoning</a> <a href="https://mastodon.online/tags/aitxt" class="mention hashtag" rel="nofollow noopener" target="_blank">#aitxt</a> <a href="https://mastodon.online/tags/TDMRep" class="mention hashtag" rel="nofollow noopener" target="_blank">#TDMRep</a> <a href="https://mastodon.online/tags/Nightshade" class="mention hashtag" rel="nofollow noopener" target="_blank">#Nightshade</a> <a href="https://mastodon.online/tags/Glaze" class="mention hashtag" rel="nofollow noopener" target="_blank">#Glaze</a> <a href="https://mastodon.online/tags/FediAdmins" class="mention hashtag" rel="nofollow noopener" target="_blank">#FediAdmins</a>

Bob Carver<a href="https://techcrunch.com/2025/03/07/russian-propoganda-is-reportely-influencing-ai-chatbot-results/" rel="nofollow noopener" translate="no" target="_blank">https://techcrunch.com/2025/03/07/russian-propoganda-is-reportely-influencing-ai-chatbot-results/</a> <a href="https://infosec.exchange/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://infosec.exchange/tags/Russia" class="mention hashtag" rel="nofollow noopener" target="_blank">#Russia</a> <a href="https://infosec.exchange/tags/Pravda" class="mention hashtag" rel="nofollow noopener" target="_blank">#Pravda</a> <a href="https://infosec.exchange/tags/influenceoperations" class="mention hashtag" rel="nofollow noopener" target="_blank">#influenceoperations</a> <a href="https://infosec.exchange/tags/datapoisoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#datapoisoning</a>

Greg Lloyd“We find that replacement of just 0.001% of training tokens with medical misinformation results in harmful models more likely to propagate medical errors. Furthermore, we discover that corrupted models match the performance of their corruption-free counterparts on open-source benchmarks routinely used to evaluate medical LLMs. Using biomedical knowledge graphs to screen medical LLM outputs, we propose a harm mitigation strategy…”<a href="https://federate.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLM</a> <a href="https://federate.social/tags/misinformation" class="mention hashtag" rel="nofollow noopener" target="_blank">#misinformation</a> <a href="https://federate.social/tags/datapoisoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#datapoisoning</a> <a href="https://www.nature.com/articles/s41591-024-03445-1" rel="nofollow noopener" translate="no" target="_blank">https://www.nature.com/articles/s41591-024-03445-1</a>

Miguel Afonso Caetano"The adoption of large language models (LLMs) in healthcare demands a careful analysis of their potential to spread false medical knowledge. Because LLMs ingest massive volumes of data from the open Internet during training, they are potentially exposed to unverified medical knowledge that may include deliberately planted misinformation. Here, we perform a threat assessment that simulates a data-poisoning attack against The Pile, a popular dataset used for LLM development. We find that replacement of just 0.001% of training tokens with medical misinformation results in harmful models more likely to propagate medical errors. Furthermore, we discover that corrupted models match the performance of their corruption-free counterparts on open-source benchmarks routinely used to evaluate medical LLMs. Using biomedical knowledge graphs to screen medical LLM outputs, we propose a harm mitigation strategy that captures 91.9% of harmful content (F1 = 85.7%). Our algorithm provides a unique method to validate stochastically generated LLM outputs against hard-coded relationships in knowledge graphs. In view of current calls for improved data provenance and transparent LLM development, we hope to raise awareness of emergent risks from LLMs trained indiscriminately on web-scraped data, particularly in healthcare where misinformation can potentially compromise patient safety."<a href="https://www.nature.com/articles/s41591-024-03445-1?utm_source=substack&utm_medium=email" rel="nofollow noopener" translate="no" target="_blank">https://www.nature.com/articles/s41591-024-03445-1?utm_source=substack&utm_medium=email</a><a href="https://tldr.nettime.org/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://tldr.nettime.org/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#GenerativeAI</a> <a href="https://tldr.nettime.org/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#LLMs</a> <a href="https://tldr.nettime.org/tags/Healthcare" class="mention hashtag" rel="nofollow noopener" target="_blank">#Healthcare</a> <a href="https://tldr.nettime.org/tags/ThePile" class="mention hashtag" rel="nofollow noopener" target="_blank">#ThePile</a> <a href="https://tldr.nettime.org/tags/Healthcare" class="mention hashtag" rel="nofollow noopener" target="_blank">#Healthcare</a> <a href="https://tldr.nettime.org/tags/AISafety" class="mention hashtag" rel="nofollow noopener" target="_blank">#AISafety</a> <a href="https://tldr.nettime.org/tags/DataPoisoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataPoisoning</a> <a href="https://tldr.nettime.org/tags/Misinformation" class="mention hashtag" rel="nofollow noopener" target="_blank">#Misinformation</a> <a href="https://tldr.nettime.org/tags/AITraining" class="mention hashtag" rel="nofollow noopener" target="_blank">#AITraining</a>

LabPlotSafeguarding <a href="https://floss.social/tags/OpenData" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenData</a>: <a href="https://floss.social/tags/Cybersecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#Cybersecurity</a> essentials and skills for <a href="https://floss.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#data</a> providers by Publications Office of the <a href="https://floss.social/tags/EuropeanUnion" class="mention hashtag" rel="nofollow noopener" target="_blank">#EuropeanUnion</a>This webinar provides an overview of the fundamentals of open data and the complexity in terms of cybersecurity.<a href="https://www.youtube.com/watch?v=6kPiY_8hRwQ" rel="nofollow noopener" translate="no" target="_blank">https://www.youtube.com/watch?v=6kPiY_8hRwQ</a><a href="https://floss.social/tags/InfoSec" class="mention hashtag" rel="nofollow noopener" target="_blank">#InfoSec</a> <a href="https://floss.social/tags/Security" class="mention hashtag" rel="nofollow noopener" target="_blank">#Security</a> <a href="https://floss.social/tags/DataPoisoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataPoisoning</a> <a href="https://floss.social/tags/DataTampering" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataTampering</a> <a href="https://floss.social/tags/Privacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#Privacy</a> <a href="https://floss.social/tags/Risk" class="mention hashtag" rel="nofollow noopener" target="_blank">#Risk</a> <a href="https://floss.social/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenSource</a> <a href="https://floss.social/tags/Technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#Technology</a>

Julien Deswaef :tw:Clickbait-y title, but fun article on <a href="https://toot.thoughtworks.com/tags/DataPoisoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataPoisoning</a> and other adversarial approaches to <a href="https://toot.thoughtworks.com/tags/GenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#GenAI</a> image generators.<a href="https://theconversation.com/data-poisoning-how-artists-are-sabotaging-ai-to-take-revenge-on-image-generators-219335" rel="nofollow noopener" translate="no" target="_blank">https://theconversation.com/data-poisoning-how-artists-are-sabotaging-ai-to-take-revenge-on-image-generators-219335</a>

Stef WalterThis new data poisoning tool lets artists fight back against generative AI (7min) an interesting way to fight back against companies that scrap art online. I wonder how long before AI companies fight this back. Sounds like an eternal battle.<a href="https://www.technologyreview.com/2023/10/23/1082189/data-poisoning-artists-fight-generative-ai/" rel="nofollow noopener" translate="no" target="_blank">https://www.technologyreview.com/2023/10/23/1082189/data-poisoning-artists-fight-generative-ai/</a><a href="https://front-end.social/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#GenerativeAI</a> <a href="https://front-end.social/tags/DataPoisoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataPoisoning</a> <a href="https://www.technologyreview.com/2023/10/23/1082189/data-poisoning-artists-fight-generative-ai/" rel="nofollow noopener" translate="no" target="_blank">https://www.technologyreview.com/2023/10/23/1082189/data-poisoning-artists-fight-generative-ai/</a>

Scripter :verified_flashing:"Data Poisoning" ist der Sand im Getriebe der künstlichen Intelligenz - Edition Zukunft - derStandard.at › <a href="https://www.derstandard.at/story/3000000192919/data-poisoning-ist-der-sand-im-getriebe-der-kuenstlichen-intelligenz" rel="nofollow noopener" translate="no" target="_blank">https://www.derstandard.at/story/3000000192919/data-poisoning-ist-der-sand-im-getriebe-der-kuenstlichen-intelligenz</a> <a href="https://social.tchncs.de/tags/KI" class="mention hashtag" rel="nofollow noopener" target="_blank">#KI</a> <a href="https://social.tchncs.de/tags/DataPoisoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataPoisoning</a>

IT NewsUniversity of Chicago researchers seek to “poison” AI art generators with Nightshade - Enlarge (credit: Getty Images) On Friday, a team of researcher... - <a href="https://arstechnica.com/?p=1978501" rel="nofollow noopener" translate="no" target="_blank">https://arstechnica.com/?p=1978501</a> <a href="https://schleuss.online/tags/largelanguagemodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#largelanguagemodels</a> <a href="https://schleuss.online/tags/universityofchicago" class="mention hashtag" rel="nofollow noopener" target="_blank">#universityofchicago</a> <a href="https://schleuss.online/tags/adversarialattacks" class="mention hashtag" rel="nofollow noopener" target="_blank">#adversarialattacks</a> <a href="https://schleuss.online/tags/foundationmodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#foundationmodels</a> <a href="https://schleuss.online/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machinelearning</a> <a href="https://schleuss.online/tags/aitrainingdata" class="mention hashtag" rel="nofollow noopener" target="_blank">#aitrainingdata</a> <a href="https://schleuss.online/tags/imagesynthesis" class="mention hashtag" rel="nofollow noopener" target="_blank">#imagesynthesis</a> <a href="https://schleuss.online/tags/datapoisoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#datapoisoning</a> <a href="https://schleuss.online/tags/nightshade" class="mention hashtag" rel="nofollow noopener" target="_blank">#nightshade</a> <a href="https://schleuss.online/tags/aiethics" class="mention hashtag" rel="nofollow noopener" target="_blank">#aiethics</a> <a href="https://schleuss.online/tags/benzhao" class="mention hashtag" rel="nofollow noopener" target="_blank">#benzhao</a> <a href="https://schleuss.online/tags/biz" class="mention hashtag" rel="nofollow noopener" target="_blank">#biz</a>⁢ <a href="https://schleuss.online/tags/google" class="mention hashtag" rel="nofollow noopener" target="_blank">#google</a> <a href="https://schleuss.online/tags/metaai" class="mention hashtag" rel="nofollow noopener" target="_blank">#metaai</a> <a href="https://schleuss.online/tags/openai" class="mention hashtag" rel="nofollow noopener" target="_blank">#openai</a> <a href="https://schleuss.online/tags/aiart" class="mention hashtag" rel="nofollow noopener" target="_blank">#aiart</a> <a href="https://schleuss.online/tags/glaze" class="mention hashtag" rel="nofollow noopener" target="_blank">#glaze</a> <a href="https://schleuss.online/tags/meta" class="mention hashtag" rel="nofollow noopener" target="_blank">#meta</a> <a href="https://schleuss.online/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai</a>

🅰🅻🅸🅲🅴 (🌈🦄)Hey, I'm putting together a practical guide on personal data pollution. You can find it at the link below.I'd love suggestions and feedback on what's there—Issues and PRs welcome! 💜 ---<a href="https://lgbtqia.space/tags/Data" class="mention hashtag" rel="nofollow noopener" target="_blank">#Data</a> <a href="https://lgbtqia.space/tags/Privacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#Privacy</a> <a href="https://lgbtqia.space/tags/DataPrivacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataPrivacy</a> <a href="https://lgbtqia.space/tags/DataPollution" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataPollution</a> <a href="https://lgbtqia.space/tags/DataPoisoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataPoisoning</a> <a href="https://lgbtqia.space/tags/Misinformation" class="mention hashtag" rel="nofollow noopener" target="_blank">#Misinformation</a> <a href="https://lgbtqia.space/tags/Anonymity" class="mention hashtag" rel="nofollow noopener" target="_blank">#Anonymity</a> <a href="https://codeberg.org/alicewatson/personal-data-pollution" rel="nofollow noopener" target="_blank">https://codeberg.org/alicewatson/personal-data-pollution</a>

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