Well, then let me clear it up. The statistics becomes more precise. As in, for a given prefix A, and token x, the difference between the calculated probability of x following A (P(x|A)) to the actual probability of P(x|A) becomes smaller. Obviously, if you are dealing with a novel problem, then the LLM can’t produce a meaningful answer. And if you’re working on a halfway ambitious project, then you’re virtually guaranteed to encounter a novel problem.

What the LLMs do, at the end of the day, is statistics. If you want a more precise model, you need to make it larger. Basically, exponentially scaling marginal costs meet exponentially decaying marginal utility.

I don’t think Youtube was ever profitable, to be honest.

Star wars; the last Jedi

The Holdo maneuver.

You can’t just throw out random Wikipedia links. For example, the Article on AGI explicitly says we don’t have a definition of what human level cognition actually is. Which is what the person you were replying to was saying. You’re doing a fallacious appeal to authority, except that the authority doesn’t agree with you.

Protip: Set yourself up with an offside server before turning on your creators.