I think better calibrated experts use LLMs in e.g. adjacencies to their professional domain fairly pervasively these days, accepting some risk of a hallucination based on e.g. cost of checking evidentiary trail, how important that output is and where it is exposed, etc.
AI
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Neurosymbolic AI Vindication: Beyond Pure Language Models
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it’s surely NOT a pure LLM (eg heavily uses symbolic tools and is hardcoded to do so), and surely includes neurosymbolic components, so it is to some degree vindication for my central claims.
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Mythos ASI Claims: Competitive Advantage and Regulatory Reality
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this is wrong for many reasons
– mythos is not ASI, not even ANthropic is claiming that
– others seem to be close behind, as I posted earlier today; it’s likely a 3 month “win” or something like that, not an enduring advantage.
– regulations and treaties are routine for many -
The challenge of verifying LLM output accuracy
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Even accounting for hallucinations, there is substantial overlap between what LLMs are *manifestly* capable of doing and what a given user is *not conveniently capable of checking*, including when a relatively sophisticated user would say "I mean just check source URLs."
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Search Index Selection and Content Crawling Strategy
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I care because understanding which index helps me understand things like what I need to submit content for crawling to, what search agents I should allow in robots.txt, how frequently I can expect the index to update, and generally what kind of quality and freshness I can expect
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SF Meetup: Building Better Agents with Improvement Loops
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🌉 Join us in SF for a meetup on building better agents with the agent and code improvement loops. You'll hear talks by @samecrowder, Head of Product at @LangChain, and @nnennahacks, AI Developer Relations Lead at @QodoAI .
— LangChain (@LangChain) 8 avril 2026
Sam will walk through the agent improvement loop and… pic.twitter.com/9e61dYvueD🌉 Join us in SF for a meetup on building better agents with the agent and code improvement loops. You'll hear talks by @samecrowder, Head of Product at @LangChain, and @nnennahacks, AI Developer Relations Lead at @QodoAI . Sam will walk through the agent improvement loop and how teams use traces as the foundation for continuous improvement. Nnenna will present how Qodo is building agents, their architecture, and how they’re enhancing them using LangSmith. 🗓️ Wed, April 29 | ⌚ 6 PM | 📍 SF (SOMA) RSVP 👉 luma.com/4nu6vpsh
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Reflecting on the challenges of LLM alignment through analogies
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"There is substantial overlap between the smartest bears and the least-equipped humans" was once an observation on how it is difficult to engineer a bear-proof garbage receptacle for national parks. I think a spiritually similar thing happens with LLMs.
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AI Chat Tools Search Engine Documentation Transparency Request
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The feature I most want from AI labs right now is documentation on which underlying search engines they use when their chat tools run a search OpenAI and Anthropic and Meta AI all have search and I have NO IDEA what index they are using (I would hope tha Gemini uses Google!)
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Flu vaccine reduces Alzheimer’s risk by 55% in large study
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💉 Want to reduce the risk of Alzheimer' by 55%? A simple flu shot at the dosage recommended by the CDC for those 65 and older should do the trick. With 165,000 people in the study, they also found a dose response — the lower dose flu vaccine led to a 40% reduce risk of AD. Steve Jurvetson (@FutureJurvetson) Just finished a watershed board meeting at Centivax. CEO Jake Glanville is holding the first vial of universal vaccine, now in clinical trials. In the long arc of human history, pathogens have killed >50% of humans that ever lived — over 50 Billion dead. Nothing else comes close. This huge painting by Andrew Turner adorns the entryway. We have better tools than ever before to eradicate pathogens. We are hopeful that Centivax's universal vaccine programs will end the scourge of malaria, herpesviruses, coronaviruses, influenza and more. — https://nitter.net/FutureJurvetson/status/2022430383426670984#m
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7 Pillars of Agentic AI by Python Developer
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7 Pillars of #AgenticAI
— Ronald van Loon (@Ronald_vanLoon) 8 avril 2026
by @Python_Dv
#LLM #GenerativeAI #ArtificialIntelligence #MI #MachineLearning pic.twitter.com/dGCIxouNTT7 Pillars of #AgenticAI by @Python_Dv #LLM #GenerativeAI #ArtificialIntelligence #MI #MachineLearning