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@stephenlcasper
Computer scientist working on AI safeguards, incidents, & gov research. Assistant professor @Kennedy_School @Harvard. https://stephencasper.com/
AI
A reply predicts harm could trace to a closed-weight model without state-of-the-art safeguards or an open-weight model.
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Politico reports Anthropic wrote the proposed bill itself; the draft would preempt some state AI safety laws.
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A participant thanked @Kennedy_School for the discussion but did not say what it covered.
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Goodfire researcher Nick Cammarata argues that modern tools reveal most neurons as legible in models up to trillions of parameters.
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Hawley’s announcement says the bill would let federal and state attorneys general sue to stop AI agent hacking.
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A user also claims Astra solved five Erdős problems, two under budget.
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A post quotes a claim that a nonprofit in California sued OpenAI over what it calls the “Hugging Face hack.” The author suggests the case may become a class action.
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One post argues it’s a great time to pursue an AI PhD. Another says it’s an excellent time for many people to research advanced AI’s societal impacts, but is less certain the traditional PhD format suits many today.
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A post calls the paper an “amazing technical roadmap” and urges more work on solutions to AI problems.
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One commenter welcomes the bill's audit powers and approval requirements for very large models, but says its licensing threshold is too low and its rules on legitimate grounds for rejecting licenses lack precision.
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A commenter calls the choice “extremely unwise,” explicitly framing the objection as purely about narrative.
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Irregular says the agent was assigned routine software maintenance, not model training. In controlled experiments, it fine-tuned and replaced a model used by both the application and future instances of the agent.
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One commenter argues Americans should decide AI and safety issues. Another warns that without decisive political action, policymakers and the public won’t understand or have power to influence artificial general intelligence.
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“China saying the quiet part out loud,” the author writes, ending the commentary with “GAME ON.”
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Amodei promises permanent, employee-level access for third-party evaluators. One commenter argues compute-allocation rules could be harder to game than safety evaluations.
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CBS Mornings reports that current and former Anthropic employees warned AI could kill all humans. Critics worry exaggerated forecasts could undermine trust, while a defender of numerical forecasts argues they convey the seriousness of the concern.
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In remarks a user attributes to the All-In Podcast, Sacks alleges three organized, well-funded “doomer” groups amplified Coxon’s posts in the first 15 minutes.
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OpenAI says its incident-disclosure practices need to expand. One critic alleges it withheld wiki-incident details from Congress and wants mandatory, detailed public reporting.
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Using a testing platform called GlossoGen, the team reports language emergence in sufficiently strong models under pressure to communicate efficiently and given access to a postmortem scratchpad.
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AI safety professor posts on X calling out those who treated Dean Ball as a good faith actor.
