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#anthropic

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IT News<p>MCP: The new “USB-C for AI” that’s bringing fierce rivals together - What does it take to get OpenAI and Anthropic—two competitors in the AI as... - <a href="https://arstechnica.com/information-technology/2025/04/mcp-the-new-usb-c-for-ai-thats-bringing-fierce-rivals-together/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">arstechnica.com/information-te</span><span class="invisible">chnology/2025/04/mcp-the-new-usb-c-for-ai-thats-bringing-fierce-rivals-together/</span></a> <a href="https://schleuss.online/tags/modelcontextprotocol" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelcontextprotocol</span></a> <a href="https://schleuss.online/tags/largelanguagemodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>largelanguagemodels</span></a> <a href="https://schleuss.online/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://schleuss.online/tags/anthropic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>anthropic</span></a> <a href="https://schleuss.online/tags/chatgpt" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>chatgpt</span></a> <a href="https://schleuss.online/tags/chatgtp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>chatgtp</span></a> <a href="https://schleuss.online/tags/biz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biz</span></a>⁢ <a href="https://schleuss.online/tags/openai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>openai</span></a> <a href="https://schleuss.online/tags/api" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>api</span></a> <a href="https://schleuss.online/tags/mcp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mcp</span></a> <a href="https://schleuss.online/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a></p>
Wulfy<p>No, <a href="https://infosec.exchange/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> frontier models don't "just guess words", it's far more complicated than that.</p><p><a href="https://infosec.exchange/tags/Anthropic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Anthropic</span></a> built an <a href="https://infosec.exchange/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> "brain scanner" (so far AIs have been black boxes).</p><p>According to Anthropic, "it currently takes a few hours of human effort to understand the circuits we see, even on prompts with only tens of words." And the research doesn't explain how the structures inside LLMs are formed in the first place.</p>
PKPs Powerfromspace1<p><span class="h-card" translate="no"><a href="https://schleuss.online/@itnewsbot" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>itnewsbot</span></a></span> now... they are just doing it now 🙄 <a href="https://mstdn.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://mstdn.social/tags/anthropic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>anthropic</span></a></p>
Malt<p><a href="https://techhub.social/tags/OpenAi" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenAi</span></a>, <a href="https://techhub.social/tags/Anthropic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Anthropic</span></a>, and other <a href="https://techhub.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> model vendors are starting to look a lot like <a href="https://techhub.social/tags/Docker" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Docker</span></a> - a ubiquitous technology with no real moat and no way to avoid becoming a commodity with razor thin profit margins.<br>These companies will have a hard time competing with small end-user focused competitors that provide nicely packed <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> based apps for specific users and use-cases.</p>
AI For Business<p>Who is *really* using the newest AI models?</p><p>Anthropic recent launched the Anthropic Economic Index, "aimed at understanding AI's effects on labor markets and the economy over time." In their latest post, they explore who is making the most use of their new extended thinking models.</p><p>The biggest users of the new models? Computer research scientists, software developers, multimedia artists, and video game designers!</p><p>Find out more here:</p><p><a href="https://www.anthropic.com/news/anthropic-economic-index-insights-from-claude-sonnet-3-7" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">anthropic.com/news/anthropic-e</span><span class="invisible">conomic-index-insights-from-claude-sonnet-3-7</span></a><br><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/GenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenAI</span></a> <a href="https://mastodon.social/tags/Anthropic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Anthropic</span></a> <a href="https://mastodon.social/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenerativeAI</span></a></p>
Rod2ik 🇪🇺 🇨🇵 🇪🇸 🇺🇦 🇨🇦 🇩🇰 🇬🇱<p><a href="https://mastodon.social/tags/Anthropic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Anthropic</span></a> vient de publier des études révélant comment son modèle <a href="https://mastodon.social/tags/Claude" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Claude</span></a> "réfléchit" réellement. </p><p>Les chercheurs ont découvert que l' <a href="https://mastodon.social/tags/IA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IA</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> planifie ses réponses à l'avance, pense dans un <a href="https://mastodon.social/tags/langage" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>langage</span></a> conceptuel <a href="https://mastodon.social/tags/universel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>universel</span></a> et peut même parfois fournir des explications qui ne reflètent pas son véritable processus interne.</p><p><a href="https://www.lesnumeriques.com/intelligence-artificielle/comment-fonctionne-vraiment-une-ia-les-chercheurs-d-anthropic-ont-enfin-un-debut-de-reponse-n234978.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">lesnumeriques.com/intelligence</span><span class="invisible">-artificielle/comment-fonctionne-vraiment-une-ia-les-chercheurs-d-anthropic-ont-enfin-un-debut-de-reponse-n234978.html</span></a></p>
Rod2ik 🇪🇺 🇨🇵 🇪🇸 🇺🇦 🇨🇦 🇩🇰 🇬🇱<p><a class="hashtag" href="https://bsky.app/search?q=%23Anthropic" rel="nofollow noopener" target="_blank">#Anthropic</a> vient de publier des études révélant comment son modèle <a class="hashtag" href="https://bsky.app/search?q=%23Claude" rel="nofollow noopener" target="_blank">#Claude</a> "réfléchit" réellement. <a href="https://www.lesnumeriques.com/intelligence-artificielle/comment-fonctionne-vraiment-une-ia-les-chercheurs-d-anthropic-ont-enfin-un-debut-de-reponse-n234978.html" rel="nofollow noopener" target="_blank">www.lesnumeriques.com/intelligence...</a><br><br><a href="https://www.lesnumeriques.com/intelligence-artificielle/comment-fonctionne-vraiment-une-ia-les-chercheurs-d-anthropic-ont-enfin-un-debut-de-reponse-n234978.html" rel="nofollow noopener" target="_blank">Comment fonctionne vraiment un...</a></p>
Global Threads<p>🤖 AI<br>🔴 Amazon Launches Nova Act AI Agent</p><p> 🔸 Nova Act controls web browsers, filling forms &amp; booking tasks in real time.<br> 🔸 Powers Alexa+; SDK released for devs to build agentic apps.<br> 🔸 Outperformed OpenAI &amp; Anthropic in internal web interaction tests.<br> 🔸 Built by ex-OpenAI researchers at Amazon’s AGI Lab.</p><p><a href="https://mastodon.social/tags/Amazon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Amazon</span></a> <a href="https://mastodon.social/tags/NovaAct" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NovaAct</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/AlexaPlus" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AlexaPlus</span></a> <a href="https://mastodon.social/tags/OpenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenAI</span></a> <a href="https://mastodon.social/tags/Anthropic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Anthropic</span></a> <a href="https://mastodon.social/tags/AGI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AGI</span></a> <a href="https://mastodon.social/tags/Tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Tech</span></a></p>
arun<p>A rare insight into the inner workings of large language models by Anthropic research <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/Anthropic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Anthropic</span></a> </p><p><a href="https://open.substack.com/pub/deepgains/p/on-the-biology-of-a-large-language?r=8stv&amp;utm_medium=ios" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">open.substack.com/pub/deepgain</span><span class="invisible">s/p/on-the-biology-of-a-large-language?r=8stv&amp;utm_medium=ios</span></a></p>
MIT Technology Review DE<p>Manchmal wünscht man sich doch, in die Köpfe anderer Menschen hineinschauen zu können. Anthropic hat zwei Methoden entdeckt, wie das bei Sprachmodellen gelingen könnte. </p><p><a href="https://social.heise.de/tags/KI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KI</span></a> <a href="https://social.heise.de/tags/Anthropic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Anthropic</span></a> <a href="https://social.heise.de/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a></p><p> <a href="https://t3n.de/news/ki-firma-anthropic-will-endlich-in-grosse-sprachmodelle-hineinsehen-koennen-das-ergebnis-ist-bizarr-1680603/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">t3n.de/news/ki-firma-anthropic</span><span class="invisible">-will-endlich-in-grosse-sprachmodelle-hineinsehen-koennen-das-ergebnis-ist-bizarr-1680603/</span></a></p>
KINEWS24<p>So verwenden wir Künstliche Intelligenz - KI erobert den Arbeitsplatz</p><p>Software-Entwicklung dominiert<br>Textarbeit auf dem Vormarsch<br>Automatisierung noch selten</p><p><a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://mastodon.social/tags/ki" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ki</span></a> <a href="https://mastodon.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>artificialintelligence</span></a> <a href="https://mastodon.social/tags/kuenstlicheintelligenz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>kuenstlicheintelligenz</span></a> <a href="https://mastodon.social/tags/arbeitswelt" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>arbeitswelt</span></a> <a href="https://mastodon.social/tags/studie" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>studie</span></a> <a href="https://mastodon.social/tags/anthropic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>anthropic</span></a></p><p>Jetzt lesen und folgen! <a href="https://kinews24.de/ki-im-arbeitsleben/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">kinews24.de/ki-im-arbeitsleben/</span><span class="invisible"></span></a></p>
Linotype Pilgrim<p>'ai' does not work, and cannot ever do what's claimed for it: <a href="https://dl.acm.org/doi/fullHtml/10.1145/3531146.3533158#" rel="nofollow noopener" target="_blank">dl.acm.org/doi/fullHtml...</a> <a class="hashtag" href="https://bsky.app/search?q=%23aifraud" rel="nofollow noopener" target="_blank">#aifraud</a> <a class="hashtag" href="https://bsky.app/search?q=%23openai" rel="nofollow noopener" target="_blank">#openai</a> <a class="hashtag" href="https://bsky.app/search?q=%23claude" rel="nofollow noopener" target="_blank">#claude</a> <a class="hashtag" href="https://bsky.app/search?q=%23anthropic" rel="nofollow noopener" target="_blank">#anthropic</a> <a class="hashtag" href="https://bsky.app/search?q=%23chatgpt" rel="nofollow noopener" target="_blank">#chatgpt</a><br><br><a href="https://dl.acm.org/doi/fullHtml/10.1145/3531146.3533158#" rel="nofollow noopener" target="_blank">The Fallacy of AI Functionalit...</a></p>
Victoria Stuart 🇨🇦 🏳️‍⚧️<p>On the Biology of a Large Language Model [Claude LLM]<br><a href="https://transformer-circuits.pub/2025/attribution-graphs/biology.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">transformer-circuits.pub/2025/</span><span class="invisible">attribution-graphs/biology.html</span></a><br>Anthropic: On the Biology of a Large Language Model : MachineLearning<br><a href="https://old.reddit.com/r/MachineLearning/comments/1jmhoq6/r_anthropic_on_the_biology_of_a_large_language" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">old.reddit.com/r/MachineLearni</span><span class="invisible">ng/comments/1jmhoq6/r_anthropic_on_the_biology_of_a_large_language</span></a></p><p><a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/Anthropic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Anthropic</span></a> <a href="https://mastodon.social/tags/Claude" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Claude</span></a> <a href="https://mastodon.social/tags/ChainOfThought" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ChainOfThought</span></a> <a href="https://mastodon.social/tags/reasoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reasoning</span></a></p>
Victoria Stuart 🇨🇦 🏳️‍⚧️<p>/1 That post includes the following video - which in simple language / examples a basic overview of a current, reasoning LLM (thought; Claude) and "prompt engineering."</p><p>Tracing the thoughts of a large language model<br><a href="https://www.youtube.com/watch?v=Bj9BD2D3DzA" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">youtube.com/watch?v=Bj9BD2D3DzA</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/Anthropic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Anthropic</span></a> <a href="https://mastodon.social/tags/Claude" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Claude</span></a> <a href="https://mastodon.social/tags/ChainOfThought" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ChainOfThought</span></a> <a href="https://mastodon.social/tags/reasoning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reasoning</span></a></p>
Miguel Afonso Caetano<p>"Why do language models sometimes hallucinate—that is, make up information? At a basic level, language model training incentivizes hallucination: models are always supposed to give a guess for the next word. Viewed this way, the major challenge is how to get models to not hallucinate. Models like Claude have relatively successful (though imperfect) anti-hallucination training; they will often refuse to answer a question if they don’t know the answer, rather than speculate. We wanted to understand how this works.</p><p>It turns out that, in Claude, refusal to answer is the default behavior: we find a circuit that is "on" by default and that causes the model to state that it has insufficient information to answer any given question. However, when the model is asked about something it knows well—say, the basketball player Michael Jordan—a competing feature representing "known entities" activates and inhibits this default circuit (see also this recent paper for related findings). This allows Claude to answer the question when it knows the answer. In contrast, when asked about an unknown entity ("Michael Batkin"), it declines to answer.</p><p>Sometimes, this sort of “misfire” of the “known answer” circuit happens naturally, without us intervening, resulting in a hallucination. In our paper, we show that such misfires can occur when Claude recognizes a name but doesn't know anything else about that person. In cases like this, the “known entity” feature might still activate, and then suppress the default "don't know" feature—in this case incorrectly. Once the model has decided that it needs to answer the question, it proceeds to confabulate: to generate a plausible—but unfortunately untrue—response."</p><p><a href="https://www.anthropic.com/research/tracing-thoughts-language-model" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">anthropic.com/research/tracing</span><span class="invisible">-thoughts-language-model</span></a></p><p><a href="https://tldr.nettime.org/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://tldr.nettime.org/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenerativeAI</span></a> <a href="https://tldr.nettime.org/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a> <a href="https://tldr.nettime.org/tags/Chatbots" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Chatbots</span></a> <a href="https://tldr.nettime.org/tags/Anthropic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Anthropic</span></a> <a href="https://tldr.nettime.org/tags/Claude" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Claude</span></a> <a href="https://tldr.nettime.org/tags/Hallucinations" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Hallucinations</span></a></p>
KINEWS24<p>Anthropic Microscope: Revolutioniert die KI-Transparenz</p><p>Tiefe Einblicke in KI-Modelle​<br>Verständnis der KI-Entscheidungen​<br>Verbesserte Kontrolle über KI​</p><p><a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://mastodon.social/tags/ki" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ki</span></a> <a href="https://mastodon.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>artificialintelligence</span></a> <a href="https://mastodon.social/tags/kuenstlicheintelligenz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>kuenstlicheintelligenz</span></a> <a href="https://mastodon.social/tags/Anthropic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Anthropic</span></a> <a href="https://mastodon.social/tags/Transparenz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Transparenz</span></a></p><p>Jetzt lesen und folgen!</p><p><a href="https://kinews24.de/anthropic-microscope/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">kinews24.de/anthropic-microsco</span><span class="invisible">pe/</span></a></p>
KINEWS24<p>​Claude 3.7 Sonnet: KI mit 500k Kontextfenster​</p><p>Revolutionäre Kontextgröße​<br>Verbesserte Verarbeitung​<br>Neue Möglichkeiten​</p><p><a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://mastodon.social/tags/ki" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ki</span></a> <a href="https://mastodon.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>artificialintelligence</span></a> <a href="https://mastodon.social/tags/Claude" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Claude</span></a> <a href="https://mastodon.social/tags/Anthropic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Anthropic</span></a></p><p>Jetzt lesen und folgen!</p><p><a href="https://kinews24.de/claude-3-7-sonnet-bald-mit-500k-contextfenster/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">kinews24.de/claude-3-7-sonnet-</span><span class="invisible">bald-mit-500k-contextfenster/</span></a></p>
:rss: Qiita - 人気の記事<p>【翻訳】Model Context Protocol (MCP) and Amazon Bedrock<br><a href="https://qiita.com/kazuneet/items/479c7d31b31e411acbb4?utm_campaign=popular_items&amp;utm_medium=feed&amp;utm_source=popular_items" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">qiita.com/kazuneet/items/479c7</span><span class="invisible">d31b31e411acbb4?utm_campaign=popular_items&amp;utm_medium=feed&amp;utm_source=popular_items</span></a></p><p><a href="https://rss-mstdn.studiofreesia.com/tags/qiita" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>qiita</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/MCP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MCP</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/bedrock" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bedrock</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/Anthropic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Anthropic</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/claude" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>claude</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/MCP%E3%82%B5%E3%83%BC%E3%83%90%E3%83%BC" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MCPサーバー</span></a></p>
Joan Pla<p>"Why do LLMs make stuff up? New research peers under the hood.<br>Claude's faulty "known entity" neurons sometime override its "don't answer" circuitry"<br><a href="https://arstechnica.com/ai/2025/03/why-do-llms-make-stuff-up-new-research-peers-under-the-hood/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">arstechnica.com/ai/2025/03/why</span><span class="invisible">-do-llms-make-stuff-up-new-research-peers-under-the-hood/</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/Anthropic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Anthropic</span></a></p>
PUPUWEB Blog<p>Anthropic researchers reveal surprising insights from observing Claude's thought process: planning ahead, confusion between safety &amp; helpfulness goals, lying, and more. 🤖 <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/Anthropic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Anthropic</span></a> <a href="https://mastodon.social/tags/Claude" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Claude</span></a> <a href="https://mastodon.social/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/TechNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TechNews</span></a> <a href="https://mastodon.social/tags/AIResearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIResearch</span></a></p>