Benjamin Carr, Ph.D. 👨🏻💻🧬<p><a href="https://hachyderm.io/tags/AIslop" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIslop</span></a> and fake reports are exhausting <a href="https://hachyderm.io/tags/security" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>security</span></a> <a href="https://hachyderm.io/tags/bugbounties" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bugbounties</span></a><br>The world of <a href="https://hachyderm.io/tags/cybersecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cybersecurity</span></a> is not immune to this problem. In last year, people across the cybersecurity industry have raised concerns about <a href="https://hachyderm.io/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://hachyderm.io/tags/slop" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>slop</span></a> <a href="https://hachyderm.io/tags/bugbounty" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bugbounty</span></a> reports, meaning reports that claim to have found <a href="https://hachyderm.io/tags/vulnerabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>vulnerabilities</span></a> that do not actually exist, because they were created with a <a href="https://hachyderm.io/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>largelanguagemodel</span></a> (<a href="https://hachyderm.io/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a>) that simply made up the <a href="https://hachyderm.io/tags/vulnerability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>vulnerability</span></a>, and then packaged it into a professional-looking writeup<br><a href="https://techcrunch.com/2025/07/24/ai-slop-and-fake-reports-are-exhausting-some-security-bug-bounties/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">techcrunch.com/2025/07/24/ai-s</span><span class="invisible">lop-and-fake-reports-are-exhausting-some-security-bug-bounties/</span></a></p>
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#largelanguagemodel
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Sarah Lea<p>LLMs don’t know your PDF.<br>They don’t know your company wiki either. Or your research papers.</p><p>What they can do with RAG is look through your documents in the background and answer using what they find.</p><p>But how does that actually work? Here’s the basic idea behind RAG:<br>:blobcoffee: Chunking: The document is split into small, overlapping parts so the LLM can handle them. This keeps structure and context.<br>:blobcoffee: Embeddings & Search: Each part is turned into a vector (a numerical representation of meaning). Your question is also turned into a vector, and the system compares them to find the best matches.<br>:blobcoffee: Retriever + LLM: The top matches are sent to the LLM, which uses them to generate an answer based on that context.</p><p><a href="https://techhub.social/tags/llm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>llm</span></a> <a href="https://techhub.social/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>largelanguagemodel</span></a> <a href="https://techhub.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://techhub.social/tags/ki" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ki</span></a> <a href="https://techhub.social/tags/rag" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rag</span></a> <a href="https://techhub.social/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a> <a href="https://techhub.social/tags/technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>technology</span></a> <a href="https://techhub.social/tags/vector" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>vector</span></a> <a href="https://techhub.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://techhub.social/tags/vectorsearch" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>vectorsearch</span></a> <a href="https://techhub.social/tags/vector" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>vector</span></a> <a href="https://techhub.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a></p>
UK<p><a href="https://www.europesays.com/uk/263330/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">europesays.com/uk/263330/</span><span class="invisible"></span></a> Top AI medical scientists Roland Eils and Irina Lehmann leave Germany for China <a href="https://pubeurope.com/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://pubeurope.com/tags/AIInMedicine" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIInMedicine</span></a> <a href="https://pubeurope.com/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://pubeurope.com/tags/Berlin" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Berlin</span></a> <a href="https://pubeurope.com/tags/BIH" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BIH</span></a> <a href="https://pubeurope.com/tags/Charit%C3%A9UniversityOfMedicine" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CharitéUniversityOfMedicine</span></a> <a href="https://pubeurope.com/tags/China" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>China</span></a> <a href="https://pubeurope.com/tags/Chinese" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Chinese</span></a> <a href="https://pubeurope.com/tags/ComputationalBiologist" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ComputationalBiologist</span></a> <a href="https://pubeurope.com/tags/Covid19Pandemic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Covid19Pandemic</span></a> <a href="https://pubeurope.com/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepLearning</span></a> <a href="https://pubeurope.com/tags/Eils" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Eils</span></a> <a href="https://pubeurope.com/tags/Epigenetics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Epigenetics</span></a> <a href="https://pubeurope.com/tags/EU" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EU</span></a> <a href="https://pubeurope.com/tags/Europe" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Europe</span></a> <a href="https://pubeurope.com/tags/FudanUniversity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FudanUniversity</span></a> <a href="https://pubeurope.com/tags/german" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>german</span></a> <a href="https://pubeurope.com/tags/Germany" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Germany</span></a> <a href="https://pubeurope.com/tags/IntelligentMedicine" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IntelligentMedicine</span></a> <a href="https://pubeurope.com/tags/IrinaLehmann" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IrinaLehmann</span></a> <a href="https://pubeurope.com/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LargeLanguageModel</span></a> <a href="https://pubeurope.com/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://pubeurope.com/tags/MedicalAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MedicalAI</span></a> <a href="https://pubeurope.com/tags/MolecularEpidemiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MolecularEpidemiology</span></a> <a href="https://pubeurope.com/tags/Research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Research</span></a> <a href="https://pubeurope.com/tags/Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Science</span></a> <a href="https://pubeurope.com/tags/Shanghai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Shanghai</span></a> <a href="https://pubeurope.com/tags/SmartMedicine" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SmartMedicine</span></a> <a href="https://pubeurope.com/tags/UniversityOfHeidelberg" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UniversityOfHeidelberg</span></a></p>
Open Genova APS<p>Sul fronte social, <a href="https://mastodon.uno/tags/Citiverse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Citiverse</span></a> si propone come la città digitale dei social liberi, offrendo un’alternativa decentralizzata ai gruppi <a href="https://mastodon.uno/tags/Facebook" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Facebook</span></a>. <a href="https://mastodon.uno/tags/Apple" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Apple</span></a>, si trova in ritardo nella corsa all’<a href="https://mastodon.uno/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a>, con ritardi nei suoi assistenti vocali e la necessità di rilancio. Infine, la misurazione dei <a href="https://mastodon.uno/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LargeLanguageModel</span></a> resta una sfida complessa, con benchmark che evolvono per valutare non solo la precisione ma anche la creatività e l’adattabilità dei modelli.</p><p><span class="h-card" translate="no"><a href="https://feddit.it/c/informatica" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>informatica</span></a></span></p><p><a href="https://bit.ly/4kF4Gb0" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">bit.ly/4kF4Gb0</span><span class="invisible"></span></a></p>
My Actual Brain<p>How long until LLMs have SSH access to servers and do whatever admin tasks are necessary for a service to run?</p><p>It’s starting to feel like iRobot territory to be honest.</p><p><a href="https://fosstodon.org/tags/llm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>llm</span></a> <a href="https://fosstodon.org/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://fosstodon.org/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>largelanguagemodel</span></a> <a href="https://fosstodon.org/tags/selfhosting" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>selfhosting</span></a> <a href="https://fosstodon.org/tags/homelab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>homelab</span></a></p>
US<p><a href="https://www.europesays.com/us/57403/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">europesays.com/us/57403/</span><span class="invisible"></span></a> How an artificial intelligence may understand human consciousness <a href="https://pubeurope.com/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://pubeurope.com/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://pubeurope.com/tags/consciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>consciousness</span></a> <a href="https://pubeurope.com/tags/Human" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Human</span></a> <a href="https://pubeurope.com/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LargeLanguageModel</span></a> <a href="https://pubeurope.com/tags/Technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Technology</span></a> <a href="https://pubeurope.com/tags/UnitedStates" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnitedStates</span></a> <a href="https://pubeurope.com/tags/UnitedStates" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>UnitedStates</span></a> <a href="https://pubeurope.com/tags/US" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>US</span></a></p>
IT News<p>Why GitHub Copilot Isn’t Your Coding Partner - These days ‘AI’ is everywhere, including in software development. Coming hot on th... - <a href="https://hackaday.com/2025/07/04/why-github-copilot-isnt-your-coding-partner/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hackaday.com/2025/07/04/why-gi</span><span class="invisible">thub-copilot-isnt-your-coding-partner/</span></a> <a href="https://schleuss.online/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>artificialintelligence</span></a> <a href="https://schleuss.online/tags/softwaredevelopment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>softwaredevelopment</span></a> <a href="https://schleuss.online/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>largelanguagemodel</span></a> <a href="https://schleuss.online/tags/githubcopilot" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>githubcopilot</span></a></p>
Forschungszentrum Jülich<p>🧠 Was genau ist eigentlich ein <a href="https://social.fz-juelich.de/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a>?</p><p>Ein <a href="https://social.fz-juelich.de/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LargeLanguageModel</span></a> (LLM) erzeugt mit Hilfe von maschinellem Lernen Texte – so wie dieser hier. Dazu lernt es aus Trainingstexten, wie Wörter miteinander in Verbindung stehen.</p><p>In unserer Rubrik <a href="https://social.fz-juelich.de/tags/BesserWissen" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BesserWissen</span></a> erklären wir, wie ein LLM funktioniert, wo seine Grenzen liegen – und was Jülicher Forschende damit zu tun haben. </p><p>📖 Neugierig geworden? In unserem effzett-Magazin gibt es mehr "Besserwisser".</p><p>👉 <a href="https://effzett.fz-juelich.de" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">effzett.fz-juelich.de</span><span class="invisible"></span></a></p><p>Illustration: Diana Köhne</p>
6G<p><span class="h-card" translate="no"><a href="https://shakedown.social/@boelder" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>boelder</span></a></span> <br>RE<br>corporations putting confidential data in <a href="https://mstdn.social/tags/insecure" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>insecure</span></a> <a href="https://mstdn.social/tags/datastorage" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datastorage</span></a> owned by Amazon</p><p><span class="h-card" translate="no"><a href="https://sfba.social/@not2b" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>not2b</span></a></span><br>RE<br>using it for training...</p><p><span class="h-card" translate="no"><a href="https://mastodon.social/@Haste" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>Haste</span></a></span><br>RE<br>AI scribe taking session notes.... the rooms are capable of recording now, but assured me that it is⭕ "completely deleted” in a “timely fashion”</p><p>IMO, the <a href="https://mstdn.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> is ⭕listing and using the sentences that go into the <a href="https://mstdn.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> after this the original TEXT and AUDIO can be deleted.<br>This deletion is not the issue, right⁉️</p><p> <a href="https://mstdn.social/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LargeLanguageModel</span></a><br><a href="https://en.wikipedia.org/wiki/Large_language_model" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">en.wikipedia.org/wiki/Large_la</span><span class="invisible">nguage_model</span></a></p>
OSTechNix<p>Clippy Desktop Assistant: Run LLMs Locally with 90s UI <a href="https://floss.social/tags/clippy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>clippy</span></a> <a href="https://floss.social/tags/llm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>llm</span></a> <a href="https://floss.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a> <a href="https://floss.social/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>largelanguagemodel</span></a> <a href="https://floss.social/tags/chatbot" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>chatbot</span></a> <a href="https://floss.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opensource</span></a> <a href="https://floss.social/tags/linux" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>linux</span></a> <a href="https://floss.social/tags/windows" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>windows</span></a> <a href="https://floss.social/tags/macos" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>macos</span></a> <br><a href="https://ostechnix.com/clippy-desktop-assistant-run-llms-locally/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">ostechnix.com/clippy-desktop-a</span><span class="invisible">ssistant-run-llms-locally/</span></a></p>
Andrea Callegaro<p>I’m looking for recommendations for an open source <a href="https://mas.to/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> that:</p><p>- is privacy-friendly<br>- supports Retrieval Augmented Generation<br>- Is ideally based in the <a href="https://mas.to/tags/europeanunion" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>europeanunion</span></a> or developed by an EU organization</p><p>Am I asking too much? I cannot run it locally.</p><p><a href="https://mas.to/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opensource</span></a> <a href="https://mas.to/tags/Privacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Privacy</span></a> <a href="https://mas.to/tags/rag" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rag</span></a> <a href="https://mas.to/tags/EU" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EU</span></a> <a href="https://mas.to/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mas.to/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>largelanguagemodel</span></a></p>
Dark Photon Studio<p>Large Language Models don't work the way anyone expected. They're not just fancy prediction engines, there's way more going on than that. Read about it here:</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://metalhead.club/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>largelanguagemodel</span></a> <a href="https://metalhead.club/tags/llm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>llm</span></a> <a href="https://metalhead.club/tags/llms" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>llms</span></a> <a href="https://metalhead.club/tags/anthropic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>anthropic</span></a> <a href="https://metalhead.club/tags/claude3" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>claude3</span></a> <a href="https://metalhead.club/tags/neuralnetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuralnetworks</span></a> <a href="https://metalhead.club/tags/artificalintelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>artificalintelligence</span></a> <a href="https://metalhead.club/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ai</span></a></p>
Now at @aj@gts.sadauskas.id.au<p><span class="h-card" translate="no"><a href="https://aus.social/@skribe" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>skribe</span></a></span> Conversely, the cost of printing, distribution, and storage puts up a barrier to spamming people on other continents with mass quantities of low value slop. </p><p>Just think through the logistics of a hostile Eurasian state sending a mass quantity of printed materials to Australia or North America.</p><p>Or, for that matter, a hostile North American state sending a mass quantity of printed materials to Europe or Asia.</p><p>You would either need:–</p><p>a) At least one printing press on each continent;<br>b) You could try shipping the magazines, but they'd be a month out of date when they arrive; or<br>c) You could try flying them overseas, but that would be very expensive very quickly.</p><p>That's before you worry about things like delivery drivers (or postage), and warehouses.</p><p>These are less of an issue for books than they are for newspapers or magazines.</p><p>And if a particular newspaper or magazine is known to be reliable, written by humans, researched offline, and the articles are not available online, then there's potentially value in people buying a physical copy.</p><p><a href="https://social.vivaldi.net/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ChatGPT</span></a> <a href="https://social.vivaldi.net/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://social.vivaldi.net/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LargeLanguageModel</span></a> <a href="https://social.vivaldi.net/tags/LargeLanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LargeLanguageModels</span></a> <a href="https://social.vivaldi.net/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://social.vivaldi.net/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://social.vivaldi.net/tags/GenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenAI</span></a> <a href="https://social.vivaldi.net/tags/spam" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spam</span></a> <a href="https://social.vivaldi.net/tags/news" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>news</span></a> <a href="https://social.vivaldi.net/tags/politics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>politics</span></a> <a href="https://social.vivaldi.net/tags/business" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>business</span></a> <a href="https://social.vivaldi.net/tags/media" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>media</span></a> <a href="https://social.vivaldi.net/tags/meta" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>meta</span></a> <a href="https://social.vivaldi.net/tags/Facebook" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Facebook</span></a> <a href="https://social.vivaldi.net/tags/Google" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Google</span></a> <a href="https://social.vivaldi.net/tags/Gemini" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Gemini</span></a></p>
Olivier Mehani<p>Artificial Intelligence Then and Now | Communications of the ACM<br><a href="https://dl.acm.org/doi/10.1145/3708554" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">dl.acm.org/doi/10.1145/3708554</span><span class="invisible"></span></a></p><p>Interesting summary of the current AI hype, how it compares with the previous one in the 80s, and whether we are that close to AGI. tl;dr: no.</p><p>Including an amusing example where ChatGPT is unable to differentiate a real Monty Hall problem <a href="https://en.wikipedia.org/wiki/Monty_Hall_problem" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">en.wikipedia.org/wiki/Monty_Ha</span><span class="invisible">ll_problem</span></a> from lookalikes, and offers the same counter-intuitive solution to all, even if the actual solution is obvious. No logical reasoning at all here. Fine or otherwis.</p><p><a href="https://piaille.fr/tags/artificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>artificialIntelligence</span></a> <a href="https://piaille.fr/tags/ArtificialGeneralIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialGeneralIntelligence</span></a> <a href="https://piaille.fr/tags/largeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>largeLanguageModel</span></a></p>
Now at @aj@gts.sadauskas.id.au<p>Had a very insightful conversation about the limitations on AI with a marketing copywriter.</p><p>Her comment was that actually writing marketing materials is a small part of her job.</p><p>If it was just about writing something that persuades a customer to buy a product, it would be a cakewalk.</p><p>What takes time is the stakeholder management.</p><p>It's navigating conflicting and contradictory demands of different departments.</p><p>Legal wants to say one thing. Sales something different. Legal something else entirely.</p><p>There's higher-up managers who need their egos soothed.</p><p>There's different managers with different views about what the customers want and what their needs are.</p><p>And there's a big difference in big bureaucratic organisations between writing marketing collateral, and writing something that gets signed off by everyone who needs to.</p><p>She's tried using AI for some tasks, and what that typically involves is getting multiple AI responses, and splicing them together into a cohesive whole.</p><p>Because it turns out there's a big difference in the real world between generating a statistically probable output, and having the emotional intelligence to navigate humans.</p><p><a href="https://social.vivaldi.net/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://social.vivaldi.net/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://social.vivaldi.net/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ChatGPT</span></a> <a href="https://social.vivaldi.net/tags/enshittification" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>enshittification</span></a> <a href="https://social.vivaldi.net/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LargeLanguageModel</span></a> <a href="https://social.vivaldi.net/tags/Marketing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Marketing</span></a> <a href="https://social.vivaldi.net/tags/Capitalism" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Capitalism</span></a> <a href="https://social.vivaldi.net/tags/TechBros" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TechBros</span></a> <a href="https://social.vivaldi.net/tags/LargeLanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LargeLanguageModels</span></a> <a href="https://social.vivaldi.net/tags/Writing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Writing</span></a> <a href="https://social.vivaldi.net/tags/work" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>work</span></a> <a href="https://social.vivaldi.net/tags/copywriting" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>copywriting</span></a></p>
Seán Fobbe<p>🔔 New Essay 🔔 </p><p>"The Intelligent AI Coin: A Thought Experiment"</p><p>Open Access here: <a href="https://seanfobbe.com/posts/2025-02-21_intelligent-ai-coin-thought-experiment/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">seanfobbe.com/posts/2025-02-21</span><span class="invisible">_intelligent-ai-coin-thought-experiment/</span></a></p><p>Recent years have seen a concerning trend towards normalizing decisionmaking by Large Language Models (LLM), including in the adoption of legislation, the writing of judicial opinions and the routine administration of the rule of law. AI agents acting on behalf of human principals are supposed to lead us into a new age of productivity and convenience. The eloquence of AI-generated text and the narrative of super-human intelligence invite us to trust these systems more than we have trusted any human or algorithm ever before.</p><p>It is difficult to know whether a machine is actually intelligent because of problems with construct validity, plagiarism, reproducibility and transferability in AI benchmarks. Most people will either have to personally evaluate the usefulness of AI tools against the benchmark of their own lived experience or be forced to trust an expert.</p><p>To explain this conundrum I propose the Intelligent AI Coin Thought Experiment and discuss four objections: the restriction of agents to low-value decisions, making AI decisionmakers open source, adding a human-in-the-loop and the general limits of trust in human agents.</p><p><span class="h-card" translate="no"><a href="https://a.gup.pe/u/histodons" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>histodons</span></a></span> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/politicalscience" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>politicalscience</span></a></span> </p><p><a href="https://fediscience.org/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://fediscience.org/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://fediscience.org/tags/ThoughtExperiment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ThoughtExperiment</span></a> <a href="https://fediscience.org/tags/Philosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Philosophy</span></a> <a href="https://fediscience.org/tags/Benchmarks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Benchmarks</span></a> <a href="https://fediscience.org/tags/Validity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Validity</span></a> <a href="https://fediscience.org/tags/Plagiarism" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Plagiarism</span></a> <a href="https://fediscience.org/tags/Reproducibility" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Reproducibility</span></a> <a href="https://fediscience.org/tags/Transferability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Transferability</span></a> <a href="https://fediscience.org/tags/Decisionmaking" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Decisionmaking</span></a> <a href="https://fediscience.org/tags/Intelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Intelligence</span></a> <a href="https://fediscience.org/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://fediscience.org/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LargeLanguageModel</span></a> <a href="https://fediscience.org/tags/Algorithm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Algorithm</span></a> <a href="https://fediscience.org/tags/Justice" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Justice</span></a> <a href="https://fediscience.org/tags/Law" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Law</span></a></p>
Now at @aj@gts.sadauskas.id.au<p><span class="h-card" translate="no"><a href="https://bsky.brid.gy/r/https://bsky.app/profile/drtcombs.bsky.social" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>drtcombs.bsky.social</span></a></span> For the people following on Mastodon, here's a screenshot of the Mark Cuban post that Tab was referring to (full text in the caption):</p><p><a href="https://social.vivaldi.net/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://social.vivaldi.net/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://social.vivaldi.net/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LargeLanguageModel</span></a> <a href="https://social.vivaldi.net/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ChatGPT</span></a> <a href="https://social.vivaldi.net/tags/VC" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VC</span></a> <a href="https://social.vivaldi.net/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a> <a href="https://social.vivaldi.net/tags/VentureCapital" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>VentureCapital</span></a> <a href="https://social.vivaldi.net/tags/TESCREAL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TESCREAL</span></a> <a href="https://social.vivaldi.net/tags/TESCREALism" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TESCREALism</span></a> <a href="https://social.vivaldi.net/tags/enshittification" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>enshittification</span></a></p>
💧🌏 Greg Cocks<p>Segment Anything Model Can Not Segment Anything - Assessing AI Foundation Model’s Generalizability In Permafrost Mapping<br>--<br><a href="https://doi.org/10.3390/rs16050797" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.3390/rs16050797</span><span class="invisible"></span></a> <-- shared paper<br>--<br><a href="https://techhub.social/tags/GIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GIS</span></a> <a href="https://techhub.social/tags/spatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spatial</span></a> <a href="https://techhub.social/tags/mapping" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mapping</span></a> <a href="https://techhub.social/tags/remotesensing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>remotesensing</span></a> <a href="https://techhub.social/tags/foundationmodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>foundationmodel</span></a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>artificialintelligence</span></a> <a href="https://techhub.social/tags/zeroshot" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>zeroshot</span></a> <a href="https://techhub.social/tags/segmentation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>segmentation</span></a> <a href="https://techhub.social/tags/GeoAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GeoAI</span></a> <a href="https://techhub.social/tags/spatialanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>spatialanalysis</span></a> <a href="https://techhub.social/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LargeLanguageModel</span></a> <a href="https://techhub.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://techhub.social/tags/SAM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SAM</span></a> <a href="https://techhub.social/tags/performance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>performance</span></a> <a href="https://techhub.social/tags/metrics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>metrics</span></a> <a href="https://techhub.social/tags/permafrost" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>permafrost</span></a> <a href="https://techhub.social/tags/visionmodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>visionmodel</span></a> <a href="https://techhub.social/tags/icewedge" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>icewedge</span></a> <a href="https://techhub.social/tags/Arctic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Arctic</span></a> <a href="https://techhub.social/tags/warming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>warming</span></a> <a href="https://techhub.social/tags/climatechange" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>climatechange</span></a> <a href="https://techhub.social/tags/thawslumps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>thawslumps</span></a> <a href="https://techhub.social/tags/landform" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>landform</span></a> <a href="https://techhub.social/tags/terrainmapping" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>terrainmapping</span></a> <a href="https://techhub.social/tags/EuroCrops" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EuroCrops</span></a> <a href="https://techhub.social/tags/agriculture" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>agriculture</span></a></p>
Bornach<p>[Internet of Bugs] tests programming capabilities of <a href="https://masto.ai/tags/DeepSeek" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepSeek</span></a> and <a href="https://masto.ai/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ChatGPT</span></a> o3-mini and finds them coming up short<br><a href="https://youtu.be/B4gDB2ADyc8" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/B4gDB2ADyc8</span><span class="invisible"></span></a><br><a href="https://masto.ai/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://masto.ai/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://masto.ai/tags/LargeLanguageModel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LargeLanguageModel</span></a> <a href="https://masto.ai/tags/o3mini" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>o3mini</span></a> <a href="https://masto.ai/tags/OpenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenAI</span></a> <a href="https://masto.ai/tags/GenerativeAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenerativeAI</span></a></p>
💧🌏 Greg Cocks<p>DeepSeek Has Ripped Away AI’s Veil Of Mystique. That’s The Real Reason The Tech Bros Fear It [opinion piece]<br>--<br><a href="https://www.theguardian.com/commentisfree/2025/feb/02/deepseek-ai-veil-of-mystique-tech-bros-fear" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">theguardian.com/commentisfree/</span><span class="invisible">2025/feb/02/deepseek-ai-veil-of-mystique-tech-bros-fear</span></a> <-- shared media article<br>--<br>[a interesting take that I think has some merit...]<br>"While privacy fears are justified, the main beef Silicon Valley has is that China’s chatbot is democratising the technology...<br>No, it was not a 'sputnik moment'..."<br><a href="https://techhub.social/tags/DeepSeek" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepSeek</span></a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/deeplearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>deeplearning</span></a> <a href="https://techhub.social/tags/China" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>China</span></a> <a href="https://techhub.social/tags/risk" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>risk</span></a> <a href="https://techhub.social/tags/SputnikMoment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SputnikMoment</span></a> <a href="https://techhub.social/tags/disruption" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>disruption</span></a> <a href="https://techhub.social/tags/technology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>technology</span></a> <a href="https://techhub.social/tags/largelanguagemodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>largelanguagemodel</span></a> <a href="https://techhub.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://techhub.social/tags/ChatGPT" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ChatGPT</span></a> <a href="https://techhub.social/tags/Claude" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Claude</span></a> <a href="https://techhub.social/tags/chatbot" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>chatbot</span></a> <a href="https://techhub.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opensource</span></a></p>
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