@roybahat
VC, @BloombergBeta ⚖️ People having their own source of strength is what makes the economy grow. ⚡ I write to learn. ✍️ Podcast: #thisisnotadvice 🕊️ חיים…حياة
AI
One writer likens the Ark to an AI model, warning that distillation can preserve a narrow perspective.
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A user recommends linked Anthropic research as a grounded, quantitative and qualitative case study of that change.
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A user calls a quoted post “great ideas” for things to have agents do.
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A linked Medium essay says founders creating AI will need to build their services differently.
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A post criticizes a take by Yoshua, arguing that frontier labs need people who prioritize safety right now.
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An October 6 AI digest says the proposed ban would cover parks, schools and clinics but still needs Parliament’s approval.
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One user cites the model’s reflective behavior; another claims it behaves the same across all instances.
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David Robinson argues OpenAI’s trial-and-error safety culture is inadequate for increasingly capable AI systems.
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A writer sharing thoughts from afar with AI conference attendees argues that people working at AI labs have even more power now.
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The Wall Street Journal, citing people familiar with the matter, says the information was allegedly shared with an outside AI-safety organization.
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A post argues that AI safety is becoming a labor issue for lab workers, citing one person's belief that AI could do almost all of his job in 2027.
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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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A commenter argues that younger and older people have very similar experiences with AI, unlike social media, where personalization makes their experiences different.
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One commenter argues that people can get a feel for AI by trying it, and that younger and older users have very similar AI experiences—unlike on personalized social media.
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Axios reports limited personal AI exposure among leaders whose committees would lead regulation and oversight. Pallone said, “I don't think I've ever used it.” Waters said she couldn't remember.
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A user sharing the explainer in September 2026 said two people at OpenAI, Dario and Jack, had worried about misaligned reward functions a decade earlier.
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Amodei says Anthropic will give third-party evaluators permanent, employee-level access to its systems to verify adherence to safety measures, report incidents and assess models’ alignment during training.
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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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The writer suggests the same person could approve or oppose an idea depending on whether its framing appeals to or repels particular groups.