@pmddomingos
Professor of computer science at UW and author of '2040' and 'The Master Algorithm'. Into machine learning, AI, and anything that makes me curious.
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The poster says he predicted a 'society of models' in 'The Master Algorithm' in 2015.
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A post jokes that winning the AI race means releasing more models per second than someone else.
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A user asks which AI company might be next to reach the $1 trillion mark.
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A post claims frontier models OpenCode used for defense began refusing help when attack analysis triggered safety guardrails.
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A user says AlphaGo is a standard symbolic search system whose heuristic is a neural network.
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A post argues that those three operations are all transformers do.
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A post argues superposition increases memory capacity without affecting interpretability, and warns against one-feature-per-neuron LLMs.
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A user argues that interacting with your AI will generate the key data for training it.
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A user suggests labs could profit if more than 20 companies each paid one-twentieth of a model's creation cost.
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A post asks whether creating human-level intelligence requires understanding it and says the question remains open.
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A post likens those it says left OpenAI to start Anthropic to the group that left Shockley for Fairchild.
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The post jokes that all three are under 40; its author later quipped that GPT is “in the lead.”
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A post uses a growing-up joke to cast AI as computers’ imagined ambition.
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A user argues that today’s most capable AI operates like human society, with intelligence rooted in cooperation.
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A user calls that judgment “the trillion-dollar skill in the age of AI.”
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A user welcomes what they see as Anthropic staff’s attachment to Claude.
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A user says Anthropic ran a model across 15 $55 TV boxes, but no rogue worm exists yet.
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One poster argues that the EU lags in building AI and receives almost none of its gains amid scant investment.
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A user jokes, “This is when you know the singularity is here,” without saying what prompted the remark.