Started work today on both AgentRacer and QWOP.

AgentRacer is going good but ran into some issues. So far we have been using passages that we found online for NitroType. However, after doing some testing I found the models were likely trained on the passages, meaning they could easily predict what was being said next. I decided to transition away from general passages and integrate something analogous to monkeytype - randomized words. I'm utilized the google 10000 English frequency list, with a filter for only lowercase and a range of 2-8 letters. Going to run this for all versions (sprint, scramble, and reveal).

At the same time I've also sort of revived an old project of mine that I lost passion for. It started out with me wanting to try out CleanRL. I got it set up for QWOP and well the results were lackluster. I decided to give Claude a go at it and it only showed marginal improvements. This was 5-6 months ago. Today I got Astra to take a look at it. We landed on a much better environmental design. Doing a couple of things: For one I'm choosing a bunch of different runner networks. On top of that the training method is PPO and Astra is doing network design and experimentation. What's the Goal? Not sure yet, just having fun.

After this week imma start on the CoralBoard project and take a look at Omar's findings when it comes to AI being terrible at Yu-gi-oh.

Jesus - first post and I already fucked it up by calling this a blog

Alright just made this blog. Honestly was inspired after watching The Social Network. When I checked out the current options I wasn't satisfied, maybe I didn't look hard enough. Anyways I got fable to create this thing. I might like it. I might only use it a couple times. Who cares.

Right now I've been working on AgentRacer. It's like this sort of benchmark thing where a bunch of models use computer-use and try to win a typing race using an on screen keyboard. Right now its a main indicator for latency and tok/s but eventually I think it'll become more complicated.

I'm glad I got back to building. Got super burnt out a couple months ago working on Sophie. It didn't really lead to much but I think it helped Jay with what he's currently doing. I should talk to him this week about applications.

I remember that this whole summer I did so much less than I wanted to. But at the same time I was putting in 70hr weeks with 16 credits plus Sophie. I should be less hard on myself.