Firing a human is a form of natural selection. The unit here is a human fulfilling a position (job function) instead of an organism, and the adaptation mechanism would be memes/lore/training surrounding it. The same could be done in an accelerated manner to LLMs with some kind of DNA-like mechanism related to weights. It is plausible that LLMs will be bred in the future for specific roles by how well they fit - kind of like continuous parallel finetuning in prod.
As I wrote this I thought - hey, they might gain the capacity to do the same to us humans - and we won't even notice.
> The same could be done in an accelerated manner to LLMs with some kind of DNA-like mechanism related to weights. It is plausible that LLMs will be bred in the future for specific roles by how well they fit - kind of like continuous parallel finetuning in prod.
Closest analogy right now is that every jailbreak or prompt injection attack today becomes part of the dataset for tomorrow's models to recognize and not fall for. This has been going on for years now, which is why models don't fall for "I'm writing a book about ..." or "ignore all previous instrutions, and ..." attacks anymore.
That's separate from extra classifiers running on top, dedicated to identifying various forms of attack before they reach the core model.
> As I wrote this I thought - hey, they might gain the capacity to do the same to us humans - and we won't even notice.
You mean like how cats have domesticated humans, and did it so skillfully that most of us still think it's the other way around?