| ▲ | dpark 3 days ago | ||||||||||||||||||||||||||||||||||
> trained over time So not random. > acceptable outcome to humans And not garbage. It’s real weird to see people argue that LLM output is no different than random gibberish and then handwave over the fact that it’s clearly not with terms like “training”, as if a steam of random garbage is trainable. | |||||||||||||||||||||||||||||||||||
| ▲ | tsunamifury 2 days ago | parent [-] | ||||||||||||||||||||||||||||||||||
Hey dpark. I quite literally created and productized predictive linguistics and behavioral vectors at Google. If you had stopped to consider what I explained; you’d understand that it’s the process of turning random garbage into increasingly acceptable outputs. Ie training the monkeys. The insight you are missing is the rule of networked scale. It turns out that any reactive node scaled enough can form sophisticated predictive system given reward over a training topography, even if it starts out at garbage or is literally made of monkeys. So it is garbage. And you can turn garbage into semi-intelligence. | |||||||||||||||||||||||||||||||||||
| |||||||||||||||||||||||||||||||||||