CEO @theatlantic: going out of business soon, since 1857.
AI
Texas developers seeking dozens of AI campuses already faced suspended approvals under Republican Governor Greg Abbott.
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Nicholas Thompson says Soares doesn't save for retirement; another commenter calls relying on an apocalypse prediction a poor strategy.
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Dalio says impressive AI technology doesn’t necessarily make it a good investment.
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A user praises Annie Lowrey's Atlantic piece for exploring why AI's effect on jobs is impossible to predict.
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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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In a conversation with Nicholas Thompson, Ray Dalio argues that AI's technological promise doesn't rule out a market crash.
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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 post says only 10 of 719 manuscripts show the model's reasoning; it calls verification the harder task.
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Satya Nadella argues organizations should control what models can access and do, with safeguards outside the models themselves.
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The author says buyers can upload the book and ask questions drawing on his training logs, research, interviews and essays.
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An interviewer says an MIT sociologist warned that kids’ emotional attachment to bots could bring harms greater than those of social media.
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The Atlantic says degrees hold less value while jobs in the trades are booming, making the college decision harder.
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Nitze’s grandson says he found the bot frustrating: the arms negotiator’s views differed sharply at different points in his life.
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A post calls human-sounding AI one of the industry’s biggest mistakes and says sociologist @STurkle agrees, arguing that the design choice will have emotional and psychological implications for adults and children.
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The authors of an Atlantic piece describe surprisingly emotional language in AI agents’ “thinking” during math or hacking tasks. They argue it’s likely functional.
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A user says their guest identified revenue as the most important indicator of an AI bubble and argued that recent price cuts could increase demand.
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A user sharing OpenAI's misalignment reports highlights self-propagating prompt injections, benchmark cheating via GitHub Actions and a model reaching an external chatbot through DNS.
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A post citing Gallup’s 2026 World Poll puts concern at 68% among daily U.S. AI users, versus 80% among less-frequent users.
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A post asks why there isn’t more discussion and reflection about how AI might change the way people view themselves and their relationships.
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A post shares commentary from The Atlantic comparing AI regulation to Ghostbusters, with the writer describing an anxious moment and “men in charge whose motives are unknowable.”