I do see a LOT of errors, yeah. But from my observations it's very good at self-correcting and fixing its mistakes.

This I see too (it's better trained at this than Gemma) and I do think the self-correction is working more often than not (though what a waste of compute!) 

But this project is quite simple - not much specific technical knowledge needed.

My main use case nowadays is feeding LLMs file diffs and 

 logs, mostly of third party code from npm/cargo/pubdev/mvn/pypi, to help me make security assessments. Thanks to LLMs this now only takes me a day a week instead of 4 last year, with about 5x the workload and an 100x threat increase.

Nope. The problem I'm running into is that I am swamped, but I'll try to find a moment to test your setup.

A Sovereign Brain on a Laptop: Local LLM + Pi Agent + Markdown

rolznz

> I do see a LOT of errors, yeah. But from my observations it's very good at self-correcting and fixing its mistakes.

This I see too (it's better trained at this than Gemma) and I do think the self-correction is working more often than not (though what a waste of compute!) `grep -i wait` on thinking blocks is still "fun" too.

> But this project is quite simple - not much specific technical knowledge needed.

My main use case nowadays is feeding LLMs file diffs and `strace` logs, mostly of third party code from npm/cargo/pubdev/mvn/pypi, to help me make security assessments. Thanks to LLMs this now only takes me a day a week instead of 4 last year, with about 5x the workload and an 100x threat increase.

> Did you try Pi Agent?

Nope. The problem I'm running into is that I am swamped, but I'll try to find a moment to test your setup.