I’m not seeing it as learning as behind the scenes the questions are changed, instead of the answer to the same question is becoming correct.

Also it becomes rather severely limited in the context length, or in this case in how much can be “learned”.

but these are still… prompt extensions (not sure if there is a technical word for it), right?

that’s a neat workaround for context windows, but at the core, imho any intelligence must be able to learn, and for a neural net to learn, it must change the network, i.e. weights or connections.

don’t LLMs generally already fail at the learning stage of Intelligence?

once trained, they never learn again? It just sometimes seem like they are learning, as long as the learned thing is still within their “context window”, so basically it’s still within their prompt?

In another matter, how would we evaluate actual intelligence with LLMs? Especially remembering that all of the slop-companies would immediately try to cheat the test.