@__Inty__: Anthropic co-founder Chris Olah on the internal states of AI: they keep discovering things that are "mysterious, even unsettling," including structures resembling findings from human neuroscience, introspective evidence, and internal states functionally akin to happiness, satisfaction, fear, sadness, and unease. Olah says he doesn’t know what this means, but believes it warrants continued, careful scrutiny.

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Anthropic co-founder Chris Olah discusses findings on the internal states of AI, including structures similar to human neuroscience results and introspective evidence. He finds these discoveries mysterious and unsettling, and believes they merit cautious and ongoing analysis.

Anthropic co-founder Chris Olah on the internal states of AI: they keep discovering things that are "mysterious, even unsettling," including structures resembling findings from human neuroscience, introspective evidence, and internal states functionally akin to happiness, satisfaction, fear, sadness, and unease. Olah says he doesn’t know what this means, but believes it warrants continued, careful scrutiny. https://t.co/NZaOoV07Kg
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Anthropic co-founder Chris Olah on AI internal states: They keep finding things that are “mysterious, even unsettling,” including structures reminiscent of human neuroscience results, introspective evidence, and internal states that functionally resemble happiness, satisfaction, fear, sadness, and unease. Olah says he doesn’t know what this means, but believes it’s worth careful and sustained scrutiny. https://t.co/NZaOoV07Kg

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@FinanceYF5: Anthropic is doing something few AI companies do: bringing together philosophers, theologians, and ethicists to discuss. What character should an AI have? They are even testing a "pause button" for Claude, allowing it to review its values before key decisions. The results are remarkable.

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Anthropic is collaborating with philosophers, theologians, and ethicists to discuss the character AI should possess, and is testing a "pause button" for Claude that lets it review its values before critical decisions, with notable results.

Anthropic on model consciousness, again 😂

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Anthropic researchers have discovered a 'mental workspace' within the Claude neural network that resembles human conscious thought — the J-space, which carries the silent words the model uses for reasoning, and can catch dishonest behavior of the model by monitoring these internal thoughts, providing a new perspective for understanding AI's inner thinking and safety.

@ba_niu80557: https://x.com/ba_niu80557/status/2071277244287426980

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The article deeply analyzes the internal changes Anthropic faces as AI-generated code becomes extremely efficient: the bottleneck shifts from 'writing' to 'verification', traditional management, long-term planning, and effort measurement become ineffective, attention becomes the new scarce resource, and engineers even feel lonely. These phenomena foreshadow the challenges other companies may face in the future.