the man told me LLMs don’t memorize (framing a false dichotomy) and dozens of papers have shown him wrong since. he also said we would replace radiologists in 2021 or so and we haven’t. and sometimes he talks like LLMs are conscious. he is not the authority you think he is.
RESEARCH
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AI Models Economic Incentives Bioweapons Risk
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1. I said partly, to be clear. 2. as noted, he could e.g., sign off on a version of GPT that enables a massive bioweapons attack that kills say 1%+ of the population. and might well sign off to try to make economic ends meet, despite the costs.
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Galileo 0 Challenges Giants in Physical Reasoning AI
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The "World Model" arms race just got a reality check.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 6 avril 2026
Physion Labs proves you don't need billions to innovate. Galileo 0 outperforms the giants in physical reasoning, moving us from "more pixels" to actual consistency.
The generate → critique → refine loop is the new gold… https://t.co/NkkcqG62j3The "World Model" arms race just got a reality check. Physion Labs proves you don't need billions to innovate. Galileo 0 outperforms the giants in physical reasoning, moving us from "more pixels" to actual consistency. The generate → critique → refine loop is the new gold
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OpenAI Forum: Sam Altman discusses building AI in public interest
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Today on the OpenAI Forum: @sama, @jachiam0, and @AdrienLE talk about building AI in the public interest forum.openai.com/public/even…
→ View original post on X — @ceobillionaire, 2026-04-06 17:29 UTC
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LLM Hallucinations Remain Unsolved, Scaling Risks Persist
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These results keep coming. @GaryMarcus was way ahead on calling out these problems and dangers. And we're at risk of baking these issues into systems we rely on. Lars Christensen (@MaMoMVPY) I am increasingly coming to this conclusion – there NO SIGNS the problems with hallucinations are getting solved. In fact if anything it is now spreading to coding and the use of agents where it is hidden and could led to serious problems down the road. Therefore we can't really scale LLMs. LLMs are very useful tools, but you need to know about the limitations. Most of the investments in LLMs today assumes away these limitations. — https://nitter.net/MaMoMVPY/status/2041031551182340218#m
→ View original post on X — @garymarcus, 2026-04-06 17:20 UTC
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OpenAI Launches AI Safety Fellowship Program
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Introducing the OpenAI Safety Fellowship, a new program supporting independent research on AI safety and alignment—and the next generation of talent. openai.com/index/introducing-openai-safety-fellowship/ [Translated from EN to English]
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Hugging Face and SAIR collaborate on AI for Mathematics
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Terence Tao's SAIR foundation is doing some really cool work on enabling AI4Maths to be open and collaborative
— Lewis Tunstall (@_lewtun) 6 avril 2026
I'm heaps excited that we now get to work together on bringing projects like their Mathematics Distillation Challenge to the HF ecosystem. Let's go 🚀! https://t.co/Mv0QbOD2I0Terence Tao's SAIR foundation is doing some really cool work on enabling AI4Maths to be open and collaborative I'm heaps excited that we now get to work together on bringing projects like their Mathematics Distillation Challenge to the HF ecosystem. Let's go 🚀! SAIR (@SAIRfoundation) We’re excited to announce our collaboration with @huggingface. Through SAIR competitions, we aim to provide open data, benchmarks, tools, and models, and expand the frontier of AI x Science through collective contributions from the community. SAIR on Hugging Face: huggingface.co/SAIRfoundatio… — https://nitter.net/SAIRfoundation/status/2041183272445559179#m
→ View original post on X — @thom_wolf, 2026-04-06 17:03 UTC
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Trinity-Large-Thinking: First OSS Model Beating Sonnet 4.6
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Okay this one seems real. First time ever an OSS model beats Sonnet 4.6(!!) on our evals. Now begins vibe testing, but this is promising. https://t.co/FBRV4k8QuS
— Flo Crivello (@Altimor) 6 avril 2026Okay this one seems real. First time ever an OSS model beats Sonnet 4.6(!!) on our evals. Now begins vibe testing, but this is promising. Arcee.ai (@arcee_ai) Today we're releasing Trinity-Large-Thinking. Available now on the Arcee API, with open weights on Hugging Face under Apache 2.0. We built it for developers and enterprises that want models they can inspect, post-train, host, distill, and own. — https://nitter.net/arcee_ai/status/2039369121591120030#m
→ View original post on X — @clementdelangue, 2026-04-06 17:02 UTC
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How Machine Translation Goals Sparked the Modern AI Revolution
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The desire to improve Google Translate by 1-3%, a tiny percentage, gave birth to the entire modern AI industry and trillions in market cap, outside of Google. BLEU score on MT seemed cool when I worked on it, but it punched waaaay above its weight as a guiding star.
→ View original post on X — @reza_zadeh, 2026-04-06 16:57 UTC