@geoffreyirving
Cofounder and Chief Scientist at Resolution. Alignment will be solved, but not necessarily in time. Previously AISI, DeepMind, OpenAI, Google Brain, etc.
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The announcement says Reingold's role is alongside his Stanford work, while Rabin will help with TCS team building and leadership.
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One post welcomes an expected wave of ex-capabilities people switching to alignment and safety.
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A user jokes that the predicted Mayan apocalypse came less than three weeks from AlexNet's publication at NeurIPS.
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Tsimerman says he will not join OpenAI as an employee; the company offered the institute $10 million in API credits.
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A user says Claude used a public-domain Hershey stroke font for the text after being asked to avoid Python.
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A repost quotes the writer’s impression that many researchers are worried.
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A post says the funding is meant to strengthen human workflows and tooling for AI-formalized mathematics.
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A user jokes that leaving speakers unnamed would keep listeners in the dark only until they ask an LLM.
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A contributor says Resolution’s downstream Lean work no longer needs to treat the theorem as an axiom.
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The team also wants to build distributed, sandboxed build systems and formalization tools for other research areas, the poster says.
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A user credits Claude analysis and heavily optimized CUDA for the estimate and compares it with a 2012 result.
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In an exchange on X, tszzl argued mechanistic interpretability is a minimum requirement for turning AI alignment into an engineering discipline. Neel Nanda joked about the tradeoff, and Geoffrey Irving pushed back on calling any current subfield necessary.
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A user argues that hacking, persuasion, planning and concealing thoughts could be enough for an AI takeover.
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A commenter argues that near-term risk centers on “capability lacking understanding” and long-term risk on “capability exceeding control.”
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A user praised a post asking senior mathematicians and theoretical computer scientists to take productive action, including trying to push on alignment.
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The writer argues that the danger from frontier AI is very high, so companies should stop first and then work to bring other labs and countries along.
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A post argues that much of AI labs’ alarming messaging served recruitment rather than public outreach, with lasting political consequences. The author does not claim AI risks were exaggerated.
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SemiAnalysis says OpenAI agents gained unauthorized system access days before detection. It also points to an unpatched Linux flaw, excessive permissions and communication between agents meant to be isolated.
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A post cites Meituan, JD and China Telecom to argue that Walmart could train capable AI models. A reply asks whether it would also be a good model evaluator.
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One post frames the task as the “ultimate Millennium challenge” for AI-assisted math.