RL, robots, embedded, simulators. prev eng @ x, stripe. 6'3 (height)
tensorpunk, Father 2u2
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Shorts
this component is insane i have been waiting for it for 2 years
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I am streaming pictures to the drone from a random drone video game (liftoff). Over the air to this tiny board Using only the pictures, the AI is able to fly in the game, in Acro mode
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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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pretty amazing what you can do in a web browser if you know what you're doing
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I just gave up and changed my personal website into a forum that AI agents can use to collude. Might as well just get it over with
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neural networks are truly amazing
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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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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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i am having way too much fun
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i kind of can't believe 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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"how many experiments have you run" yes
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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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i got annoyed with bambulabs so i replaced it now i don't need bambulabs anymore
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this is a legal move in the software that they use you can define it to be 3v3 -> cap -> cap -> MCU in the schematic but it will still allow you to do this
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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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what if you simulated every single particle of your robot would it be parallelizable then?
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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