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Click the links below  >complexity and AI: why LLMs succeeded where generative linguistics failed >the sociology of false beliefs >...

intelligence human and artificial: neural networks vs computational intelligence, behavioral empiricism vs rationalism

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>does AI alignment clarify and justify Hayek's libertarianism?  the limits of human prediction in a complex world


>why Chomsky's computational model failed where LLMs (neural networks) succeeded the difference between explanatory science and shallow technology


>the shallowness of AI is its strength the difference between technology and science: explanation in the context of noise

  

>blaming OpenAI for the Hugging Face breach misses the point of the alignment problem  Bostrom's paperclip problem is about human limits, not AI power


>on AI Skeptics  misunderstandings about human intelligence and AI intelligence)


>neural networks are the zombie revival of 20th century empiricist behaviorism and that 's about us


>art, craft, game-theoretic cognition and machine learning


>Yoneda learning: behaviorism vs innation  Shannon information theory vs Turing-Chomsky computation


>four AI myths of human intelligence  Myth of the Analog, Myth of Introspection, Fallacy of the Mimic, Conflating consciousness with intelligence


>why AIs are not conscious and are likely never to be  natural selection coordinates awareness


>the strange psychosis of AI dualism intelligent behavior=intelligence, feeling-behaviors≠feelings




>the big picture  AI in the historical context of Western empiricism vs rationalism

 
>AI wisdom, truth and honesty more misconceptions about AI and human intelligence 

 
>the Myth of Introspection AI introspection, like human introspection: bullshit stories


>the lesson of AI: humans don't think and aren't intelligent


>sunk cost: loss aversion or Bayesian failure


>Freud and Haidt got it backwards: the unconscious mind is rational, the conscious mind is not





















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