A common view is that human level AGI will require a parameter count in the order of magnitude of the brain’s 100 trillion synapses. The large language models and image generators are only about 1/1000 of that, but they already contain more information than a single human \
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could ever possibly know. It is at least plausible that human level AGI might initially run in a box instead of an entire data center. Some still hope for quantum magic in the neurons; I think it more likely that they are actually kind of crappy computational elements.
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his work is definitely interesting but i doubt it's particularly relevant to agi or cognitive architectures
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I just had a discussion with Michael Levin about that
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