Jack Wilson (@jacks_bench) header
Jack Wilson (@jacks_bench) profile picture

making things in syd

Joined July 2026
Needed CAD of a USB camera Give Claude 10 photos with AprilTag backgrounds, it overlays it’s model to the references images and iterates the dimensions Model checks out
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Well it’s one way to temperature compensate an IMU Need to make a Peltier test jig next
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It did in fact turn on
Time to see if it will turn on
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Time to see if it will turn on
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For those that don’t want to touch the GPIO header of their Jetson Made with @BackplaneWorks STM32G474 3x CAN-FD 3x LSM6DSV16X IMU + legacy IO
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My $1,065 PCBA run got hit with $229.21 of taxes and fees at the border: 21.5% Even after reclaiming GST, that's 11.5% in fees on goods with a 0% duty rate. Why? I was $65 over the import threshold. It was $1,000 in 2005. It's $1,000 today. I was born in 2005.
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Feeling like a factory worker. Also the factory owner?
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JLC X-ray inspection is pretty cool The LGAs meant to be inspected are fully shadowed by the LQFP on the opposite side but I guess that’s ok?
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Jack Wilson retweeted
Replying to @levie
explained my agent setup at dinner and my family looked at me like I joined a cult
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How the test bench started, how it’s going now. The first time Claude flashed my STM32 I was in awe Now it tests a bus of my smart sensors while I sleep Sometimes it needs me to do a power cycle I’m just the meat that presses the button Time to get a programmable power supply
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Testing some ROV thrusters from Taobao. 1/8th the price of a Blue Robotics T500. Corrosion resistance and reliability are yet to be seen, but they definitely push water. Follow along as I build an autonomous underwater robot with them.
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Can an underwater robot learn to see from renders alone? Testing on real images: First model, 0.22 AP50. A week and 100k more training images, 0.94. This is what made the transfer stick
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3. Just let your agent rent 15 4090’s - Decided to scale up. Initial dataset was 10k images - With formula paying off, tried scaling up dataset size - Rendered in IsaacSim, agents make scene layouts and rent runpods - 106,000 images rendered on 15 GPUs in 1 hour, cost $30
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4. Thoughts After scale up, reached 0.94 on real dataset Main takeaway for me - how fast the feedback loop was. I’d have a hypothesis, an agent would generate new data and train - I would have a result in 45 minutes. Datasets at huggingface.co/jack-www
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