Well, by definition we are simulation LLMs just fine, but per the article we are utterly failing on Elagans, so it seems the smart money is on the latter.
It just means the complexity is harder to capture and copy.
LLMs are built via algorithm. Given enough data and a large enough neural network the complexity of an LLM is boundless. I guess my question is are existing LLMs more complex?
LLMs is the new hype product of tech companies. Wait a couple years and the interest will die out.
Maybe we’ll live the day when true neuroscience (none of that Andrew Huberman stuff) will be trending.