haellsigh

*only against open weight models

It looks like he uses oh-my-pi, which is a full featured version of pi and has this to-do style out of the box.

I have tried it. It feels pretty good to use, but you have to keep in mind that it's very early software. They currently break the API every other week, and it's still missing a lot of fundamental features. I have made a few basic web apps with it, and on v0.8.1 it was still missing a lot of reactivity which meant you had to use Javascript to bridge the gap.

Huh, I've had a totally different experience. I've used it extensively, maxing out the 200€ plan on personal projects and it's the best model I've ever used, so easy and pleasant to use. It's great for frontend design and using it in Rust I've had Coming from Opus 5, it's a breath of fresh air.

I remember the Gemini 2.5 Pro series was the best at text, but failed half of it's tool calls. They really redeemed themselves with the 3.5 Flash series, it's great. I love how fast it is. Now if only they could offer a subscription service for it...

I've had this issue before, and the only thing that saved me was SMS (phone number) backup. I believe Google is slightly easier than Meta to contact by phone so this should help.

Well, it looks like they just did reset the usage!

I agree with what you're saying. I have a Claude plan for work and I prefer using Claude more than any other LLM I've tried. Having recently tried the Codex 100€ plan with GPT-5.5 in high/xhigh, I don't think it's worse that the Opus models, just different.

I've noticed that depending on how you talk to it, you get wildly different outputs. This seems to happen less with Opus: it mostly understand what I want. GPT is often a bit too literal.

Just my two cents.

I added it in my oh-my-pi configuration before (it's OpenAI compatible), but Llama 3 8B is just absolutely unusable for anything coding related. It is very fast and the latency is very good however.

Fyi, I believe `--flash-attn on` doesn't do anything, you should instead use `--flash-attn 1`. I'm getting ~150t/s on a RTX 3080 10GB as well with f16 cache type.