@jamescham
@bloombergbeta; of the San Gabriel Valley; investing in 2050; working to improve the second derivative; looking for troublesome ringleaders!
AI
A user says Saturdays are for MIT AI conferences and reading and discussing secret drafts of essays.
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An October 17 post anticipated the afternoon panel and invited people there to say hello.
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Every's Dan Shipper argues that AI-filtered inboxes could make readers' email addresses less valuable to publishers.
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The person announcing Exa's milestone says it handles 2 billion requests a month from 200,000-plus teams.
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LangChain listed an opening keynote by @hwchase17 and a fireside chat with Harrison Chase and Orange’s AI chief.
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A user argues cloud migration stayed controversial after it was “obviously right” and predicts similar delays for AI agents.
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A user shares an overheard view that founders could map social puzzles to cognitive puzzles they can solve.
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A user says the idea is close to obvious, sharing a quote that defines wisdom as breadth rather than a narrow view.
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One post puts Iain Banks first and Harlan Ellison last in its preferred order of authors to be right about AI.
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A post shares a quotation arguing that measures of intelligence shape it, while defining it is the greatest barrier to realizing it.
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A Justified Posteriors episode features Harvard College undergraduate dean and labor economist David Deming discussing how AI that communicates and bargains for people might change the value of social skills.
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A January 2023 post predicted that AI would soon be the only thing on anybody’s mind. A September 2026 quote-post called the prediction right.
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A post argues that someone with AI skills, taste and agency can do more to transform a business than an AI agent.
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A post argues that every organization where machines coordinate human work also contains people who benefit from that coordination.
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One user calls sharing stream-of-consciousness thoughts with AI models “surprisingly effective” and suspects it could become a common way to work.
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Mollick announced a preorder bonus: a code for an AI interview he says will help readers figure out how to use their human advantages with AI.
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A user is seeking an introduction to discuss what they call “an implementation of JEPA that works.”
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Dubbed “PINGRAM,” the user's joke targets irritating mistakes and odd AI-specific turns of phrase in shared AI-assisted documents.
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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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Vals backs a market-based approach to independent evaluation and says its benchmarks appear in model cards from every major foundation model lab.