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I don't know. I know that any particular thing I say could be met with an LLM that did that thing. But at the moment an LLM doesn't seem to be capable of coding itself up that way. Yet.

I guess that was kind of my question when I thought about what you said. I could think of any things that a cat or dog do that _current_ LLMs can't do but nothing that seems fundamentally out of reach

continually learn with a fixed computational budget over massively extended task horizons.

No, but it could help me make such a thing.

Possibly, but as of now it's a completely unsolved problem and to my knowledge nobody has shown even a tiny model being able to perform it.

Based on the top page today I may even be able to make the argument we can't even simulate the abilities of a fruit fly.

The absolute frontier models can perform only a fraction of a fraction of what a typical work day looks like for a human. I calculated the chance that a frontier model today has about a 1^-29 chance of performing a single day of connected tasks based on GAIA benchmarks.

Act on its own?

What does it mean for something to "act on its own"? Every action taken is in some part due to what's happening in the environment right? I would argue that nothing "acts on it's own"