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@richardmcngo
eppur lo si può muovere
AI
A post argues that a more principled rationalist stance could plausibly have helped create a liberal-populist intellectual synthesis.
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The author says they reposted after the original used “expected time,” which they called “obviously a bad metric.”
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One person says their six best decisions defied their parents’ explicit advice, including moving to San Francisco and starting a company.
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A researcher says his work is driven by an intuition that superintelligences could avoid adversarial relationships with their past and future selves.
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A user recalls the premise as doing AI safety from second place: following the capability frontier to study safety there, rather than advancing it.
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A commenter argues that Carl Shulman's brain-emulation scenario exposes a gap in Robin Hanson's growth forecast by showing how investment in hardware and research could accelerate AI development.
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An AI pause/stop advocate argues that backing specific safety approaches was an easier career path than expressing broad skepticism about them.
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A researcher frames their critiques of AI alignment—especially the idea of having “marginal impact”—as work on ethical decision-making, while valuing emotional “aliveness” over pinning down an answer.
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One post argues that the label temporarily blinded many gifted people to AI progress, costing them crucial years they could have spent thinking through a response.
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One commenter argues that much of the AI safety movement tied itself too closely to Democrats. Another calls the partisan alignment of effective altruists and accelerationists bad for America's tech advantage.
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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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A self-described technological accelerationist says they’re puzzled by some people’s dismissiveness, despite their own aversion to regulation and apocalyptic thinking.
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A story about a zero-knowledge consultant steering digital minds, now posted online.
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The independent AI researcher criticizes entrants to the field from 2015 to 2022.
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Independent researcher asks when OpenAI limits would halt third-party safety checks.
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AI safety researcher Richard Ngo connects institutional decline to accelerating AI timelines via lost coordination.
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Replies expand the idea to philosophy, psychology, ecology and other fields.
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Applications opened for the 12-week Winter 2027 fellowship that includes a new auditing and governance stream.
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Critics argue that Effective Altruism efforts target manufacturing limits on advanced chips.
