I feel like that's more saying they can't train on the fly, and also that serializing spatial data and world models is something we haven't really done fully.

For me all neural networks synthetic or otherwise are replay machines or stream prediction machines. Nerve signals in, and nerve signals out. If I create output signals to the muscle nerves like this when my eyes see signals like that, good things happen, i get a reward, so it happens again the next time. We have a a more complex messier architecture, but it seems pretty much the same in the input and outputs being linear signals.

I’ll Disagree and all I’ll say is when you say messier that hand waving away the differences between an RC car and a real car because they both drive but the real car just has some messier complications.

That messier part is the complexity that is the difference.

What we have is a model. It’s still very distant from the original in meaningful ways.