alt Hacker NewsSorry bro, we live in a sci-fi world. I don't know what you think recursive improvement is, but we've been doing it for some time with models making synthetic data models and using it to train the next model. This is being done inside the labs intentionally to avoid as many employees and humans in post training. Works very well for things like math and cyber-sec.
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> I don't know what you think recursive improvement is
The ability for a model to improve itself over time without outside intervention. As yet, no models yet have this capability, and LLMs specifically what with how they are constructed, are not likely to ever have it. They are frozen in carbonite at the time of their training.
That's not to say they can't use skills to appear somewhat worldly, things like searching the internet and what have you, but if you ask a model to strictly stick to data in it's training, it will do that and it will be stuck in whatever time in which it was built.
Energy is conserved, gravity exists, and LLMs aren't intelligent.
Yes, works great for anything that is amenable to reinforcement learning. For other domains, not so much.