By self-modifying the software. Currently the model harnesses only allow the model to modify its own prompt (which could be considered a really weak kind of learning), but theoretically, a model could design and train its own replacement and run that, continuously improving itself. I’m not sure if LLMs will be able to do that but the static hardware has nothing to do with it (since the bits on the harddrive aren’t static).

idk, how does voice recognition learn my voice? How can I install programs when the hardware is static?

this is profoundly false. AI not only can learn, it is built entirely from learning. The field is called machine learning after all.

Not only that... AI is NOT only learning during the training phase... LLMs learn in real time the minute you talk to it. It learns something and saves those learnings in a context window or somewhere else if you want it to exist beyond the context window.

All of the above runs on static hardware. Don't understand how someone can say a profoundly wrong statement and get voted up.