reinforcement learning, robots. prev eng @ x, stripe. 6'3 (height)
tensorpunk
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Shorts
I wrote my own CAD software whose intended user is an AI. I asked GPT 5.6 sol to make me a case for my camera. It only interrupted me once, which was to log in to a website to download a model of my camera as reference. Not perfect but.. pretty crazy :)
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Dennis Gustafsson me and gpt 5.5 found a bug that didn't make it deterministic and fixed it
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This is running in my web browser on my laptop. It's deterministic and running using webgpu Tonight; I have a /goal going where it is going to set up one of my 4090s as the authority server, and then test all the rollback code. Goal is 50k boxes simmed per user, up to 512 users. Massively multiplayer massively rigid body physics online games inside your web browser. Why the hell not, we've got the tokens to spare!
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I just trained cartpole in mujoco at 18 million steps per second. This policy learned in **less than 3 seconds** rollout policy batch size was 8192 agents
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"how many experiments have you run" yes
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what if you simulated every single particle of your robot would it be parallelizable then?
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researcher friend of mine shared this with me; comfree-sim. which is basically existence proof of my hunch: mujoco has terrible performance, and there are probably huge huge gains you can make in training, especially considering domain randomization
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I've gotten a mujoco sim RL training loop for a unitree robot at 200k SPS. I'm looking into the physics for friction, contact dynamics. My goal: can I reproduce & beat the mujoco playground RL baselines This is running in my web browser with raylib. Its the baseline
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today; the goal is to reduce the time of training for this by 10x. This took 27.8 minutes to train at 200m steps 120k steps per second. reproduction from mujoco playground using mjwarp
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6 pendulums probably in 5 hours
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I'm building the Canadian DJI with a debit card
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my first fluid sim
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Fixed a numerics bug on the training loop, and got the training down from 52 minutes to 45 minutes Only 15 minutes away from beating the deepmind mujoco playground baseline!
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configuring nvim for 5 hours today was worth it look at this cute lil guy
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i want to show you guys how fast programming is now i'm kind of resurrecting dingboard zig to see how fast i can make progress on it, using it as a test bed to see AI progress it took me 5 minutes to add a GPU accelerated (!) mirror button now, watch how fast this next thing is
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live on my website again. i'm designing the internet condom. Trying to understand the difference of search and recommendations, figuring out what an MVP can look like, trying to design something that can actually beat all social media networks, something that would destroy them
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right now my reinforcement learning model is basically doing this and i came up with a solution for it all by myself (by stealing it from pufferlib) that not only solves it, but also helps keep training stable and fast