@nxthompson
CEO @theatlantic: going out of business soon, since 1857.
AI
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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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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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.”
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A post sharing a conversation about AI argues that it could be a force for good—but only if people guide it toward that goal.
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A post says Microsoft AI chief Mustafa Suleyman warned that Anthropic’s model-welfare training could make future Claude systems harder to control. A related post revisits Satya Nadella’s 2024 argument for treating AI as a tool.
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OpenAI researcher Dan Selsam argues in a personal statement that growing model awareness is undermining evaluation—and that more careful pacing of frontier AI alone will not adequately limit long-term risk.
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The post imagines a single AI-fueled global government combining what its author considers the worst regulatory and social policies of the past 20 years.