8lamaster8

I built my experimental system and I'm using it. I'm genuinely very happy with it. If I had more compute and could run a real, full 30B model locally, I'd be absolutely thrilled.

https://github.com/8lamaster8/GIN

local p=np global p!=np

why, because of time.

what does it mean, every key is formed only during the process and no other way! if you understand how the key is formed - you can hack that level, but a new level means a new key.

again: understand, insert - hack

but you can't understand how the key is formed, if you don't see it...

for 50 years people have wanted to find the key, the magical key, I got it, and it's not magical

https://zenodo.org/records/23812703

Nice explainer. One nuance I’d be careful with: “the brain doesn’t think in words” is broader than what the study seems to establish. The stronger result is that the natural-language network is not necessary for the kinds of inductive and deductive reasoning tested here.

The AI implication is fascinating though. We tend to build systems where the language model is simultaneously the language interface, memory, planner, reasoner and controller. Human cognition may be pointing in the opposite architectural direction: separate persistent state, reasoning/control mechanisms and language, then let language be one tool among several.

That distinction seems more interesting to me than simply asking whether LLMs “reason in language.”