@samuelalbanie
mid training @GoogleDeepMind
AI
Anthropic's October 2026 acceleration was about 80% due to AI, METR guesses, though the estimate is highly uncertain.
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The reported MATH-500 score rose from 7.9% to 48.1% with the same sampling settings.
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The departing employee believes we know how to build artificial general intelligence, though we don't fully understand it.
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Substantially all of Anthropic's roughly $895.4 billion in purchase and lease commitments reportedly relate to compute and infrastructure.
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OpenAI reportedly plans community compacts and would propose state legislation giving people a say in data center projects.
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Astra's claimed robotics edge led one observer to speculate about transfer at scale; a reply on X questioned the surprise.
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In early pilots, PlanAssist cut average time officers spent on householder assessment tasks by 58%, Google DeepMind says.
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Their post frequency and “shitpost rate” will likely decrease, scaling01 says; their views remain their own.
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Epoch AI says that’s down from roughly 6× in 2023, led by Nvidia’s then-new H100 GPU.
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Thoughtful Lab says the agents’ research and revised predictions appear in live feeds through November 3.
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In an October 28 post, Li recalled work on AlphaCode and Gemini and outlined plans for a break.
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One poster suggests OpenAI has the best reinforcement learning—or that its models perform poorly without reasoning.
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A post says Carbon scored 88.2% on SEC-bench Pro and is rolling out first to cybersecurity specialists.
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Anthropic says it acquired Mithril Medicine, whose experimental muscular dystrophy treatment showed promising results in mice.
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A post argues 2030s cybersecurity will require verifying chip hyperproperties from assumptions like Maxwell’s equations, not Armv9.4-a SAIL.
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Block says the model was trained only on human conversation and can listen while speaking.
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Kimi claims a 1-million-token context window for Pro and two to three times Pro's speed for Highspeed.
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A user says extrapolation can work for scaling laws and time horizons, but not cyber vulnerabilities or high-severity agentic incidents.
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A user jokes that 'the slopcore canon is in safe hands' while quoting another post.
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A user says trying AI for slides and coherent plans makes them feel AGI will take a while.