@bayeslord
AI
The reported MATH-500 score rose from 7.9% to 48.1% with the same sampling settings.
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On X, @bayeslord questioned due process while @beffjezos argued for open-source and local AI.
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herbiebradley questioned near-perfect acceptance rates for uncertain oracles; bayeslord challenged the warning with a shoe-tying example.
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OpenAI says thousands of agents linked mouse-brain gene-expression data to literature in 32 minutes, proposing a testable cholesterol-transport mechanism.
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Two posts point to security incidents and urge AI-assisted defenses; one specifically calls for faster vulnerability detection and patching.
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OpenAI reports a DCTN1-cholesterol research lead from GPT-Rosalind agents working with Scripps Research.
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Anthropic reports 17 of 211 lab-tested designs met binding criteria, but none were tested for toxin neutralization.
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A post argues small teams could develop medicines, materials and energy technologies that now require entire research organizations.
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A user argues that AI doomsayers can dismiss each advance as inadequate while overlooking their combined contribution to safety.
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A post imagines a Tesla Roadster flipping over a pileup ahead and leaving you safe.
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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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A post quotes Apollo's chief economist on diverging growth forecasts; another argues early-market demand is often underestimated.
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A user calls much of human endeavor mutual ‘ego farming’ and doubts AI alone can fully automate its function.
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An essay argues that falling prices and surging token use favor platforms that control distribution over benchmark-leading labs.
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A user argues the singularity is a revolution in most senses of the word.
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In reply, a user said it wouldn’t surprise them much, recalling a past view that focused effort might solve it quickly.
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One commenter suggests working demonstrations for some filings and trial standards for drugs; a respondent favors reducing patent surface area.
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POLITICO reports Altman argues AI’s benefits and public access justify accepting some bad outcomes; one observer sees more similarities between the firms.
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A user says they gave Claude more time on ‘Macrohard: Windows XP’ and calls this one their best yet.
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One post jokes that insects far outnumber language models; a quote post extends the comparison to cells.