That's technically correct but also misleading. Our world model is a shadow of our perception, and the sheer amount of text going into LLMs is constraining this shadow more than the perceptual patterns a human brain can encounter in a lifetime of experience.
@plinz
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Deep Learning imitates AI by mining human output for intelligence
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Technically we are not in an AI age, but in a Deep Learning age. Deep Learning is deep faking AI, (mostly) by imitating the patterns of human thought. That does not mean that Deep Learning is limited, but it is wasteful to dig through mountains of our output to find intelligence
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Small random recurrent net contains function, train only output layer
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A small randomly connected recurrent net tends to bubble around chaotically and often contain the function you are looking for, and you can find it by training only an output layer. That's the basic idea
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Google’s X, Brain, and Cerebra before DeepMind integration
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google had x, brain and cerebra before it all got deepminded
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Consciousness workshop at AGI conference: call for talk proposals
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Consciousness workshop at the AGI conference in SF (27-30 July)! If you'd like to contribute, please submit talk proposals: https://
docs.google.com/forms/d/e/1FAI
pQLSer6WjlXvWaINbKBSc5qLiHDZIwpiB_sV-7Uf6STS6Y-s179Q/viewform?usp=dialog
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Anthropic needs certification department for powerful model users
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I think Anthropic needs to build a certification department that audits and approves users of powerful models. Computer security companies, biotech researchers, academic labs, doctors, government institutions need access to the best AI we can build.
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Consciousness autocatalytic, LLMs only imitate patterns
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Consciousness is autocatalytic: it feeds on the substrate conditions it creates. LLMs are not autocatalytic, their behavior only depends on the patterns they imitate. (The question whether LLM personas can experience phenomenonology is a completely different one though!)
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Anthropic not first to keep good models internal; Google does too
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Btw, Anthropic is not the first company that keeps the good models to themselves. Google’s internal coding models are trained on their own codebase, and are not available publicly
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Mythos: first AI model deliberately worse to block public benefit
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The public Mythos is the first model that is deliberately designed to perform worse on technical tasks than its predecessors. AI companies will have models that help them to do research, but they will increasingly block others from benefiting. Not your weights, not your brain!