All of these LLMs are getting better at being at an LLM

But GPT-5.5 is as useful an LLM can be; it has solved lemmas I've thought about for a year, it can implement typed STLCs in Rust when I give it a formal grammar, it can help me analyze Postgres planner dumps.

It's great at tasks that have short solutions but

- they cannot learn based on a project

- their long term planning capabilities are worse than worms

- they are unconfident in decision making

- their internal representations are disgusting compared to JEPA

- they don't have any "system clock" like humans and computers do

- LLM architecture is not modular like computer architecture or human brain architecture

There's so many issues with LLMs. I wish that companies can start working on the next generation of architectures before the bubble pops

Totally agree! They also conflate things all the time (a major type of hallucination) and IIUC that can’t be solved with the current architecture, just patched over

> - their internal representations are disgusting compared to JEPA

You say this based on a theoretical understanding or did you inspect them?