The big AI models are running out of training data (and it turns out most of the training data was produced by fools and the intentionally obtuse), so this might mark the end of rapid model advancement
The big AI models are running out of training data (and it turns out most of the training data was produced by fools and the intentionally obtuse), so this might mark the end of rapid model advancement
They already have. A lot of robots are already training using simulated environments, and nvidia is developing frameworks to help accelerate this. Also this is how things like alpha go were trained, with self-play, and these reinforcement learning algorithms will probably be extended for LLMs.
Also like you said there's a lot of still untapped data in audio / video and that's starting to be incorporated into the models.
Yeah, I'm familiar with a bunch of autonomous vehicles/drones being trained in simulated environments, but I'm also thinking stuff like VRChat.