alt Hacker News> So, in practice, inference computes a very rich vector of state- at each layer, for each token.
And that state is... internal to the neural network. My point here is there is no continuous state that is not computed from the context.
> This is also true about a human brain. My brain isn't going anywhere- it can't move by itself. It's also easy to kill (without the rest of my body, it dies in minutes!)
Your brain continues to run without sensory input. LLMs do not.
> My point here is there is no continuous state that is not computed from the context.
Oh, are you talking more about the lack of continual learning across context windows? Gotcha if so, my error.
Could you explain why running without sensory input is relevant here? It strikes me as unrelated to how dangerous/hard-to-"kill" something is (sure, I could run without sensory input, but I'm not doin' anything anymore!) - what makes you feel differently (or am I misunderstanding you again?)