[globalise83]

The LLMs are now writing their own algorithms to answer questions. Not long before they can design a more efficient algorithm to complete any feasible computational task, in a millionth of the time needed by the best human.

[gf000]

> The LLMs are now writing their own algorithms to answer questions

Writing a python script, because it can't do math or any form of more complex reasoning is not what I would call "own algorithm". It's at most application of existing ones/calling APIs.

[bayindirh]

LLMs are probabilistic string blenders pulling pieces up from their training set, which unfortunately comes from us, humans.

The superset of the LLM knowledge pool is human knowledge. They can't go beyond the boundaries of their training set.

I'll not go into how humans have other processes which can alter their and collective human knowledge, but the rabbit hole starts with "emotions, opposable thumbs, language, communication and other senses".

[ogogmad]

> They can't go beyond the boundaries of their training set.

TFA says they just did. That's what the ARC-AGI benchmark was supposed to test.