I'm trying to construct an argument that LLMs are like a chess engine. People still play chess. But somehow this falls short.
Any conversation
I notice that language models are much better at programming than at writing. This is largely because, in programming, they have a closed feedback loop that allows them to find errors. Writing is much more complicated because the feedback is much more diffuse and delayed over time. In fact, it is often not well-defined.
a kis laptopnak pedig nincs elรฉg memรณriรกja, szรณval ezt a fลterminรกlt eredetileg programozรกsra vettem, azt nem tudom mรกr, mit akartam programozni vele, de pont รบgy zรบg, mint egy adatkรถzpont, รฉs hogyha egy kicsit korszerลฑsรญtem, a Gemma 4 LLM รฉppen visรญtva el fog tudni futni rajta
and the little laptop doesn't have enough memory, so I originally bought this main terminal for programming, I don't know what I wanted to program with it anymore, but it hums like a data center, and if I upgrade it a little, the Gemma 4 LLM will be able to run on it screaming


