Sakthimm

Well, implementing fillets and chamfers is no easy task, so it's well deserved to be there.

Source: been there, done that.

I think OpenClaw is the reason we are getting so much AI slop these days. The comments here with "key insights" are coincidentally < 1 month old. It seems for some reason, OpenClaw/NanoClaw loves Show HN posts.

Yep. The 9B has excellent image recognition. I showed it a PCB photo and it correctly identified all components and the board type from part numbers and shape. OCR quality was solid. Tool calling with opencode worked without issues, but general coding ability is still far from sonnet-tier. Asked it to add a feature to an existing react app, it couldn't produce an error-free build and fell into a delete-redo loop. Even when I fixed the errors, the UI looked really bad. A more explicit prompt probably would have helped. Opus one-shotted it, same prompt, the component looked exactly as expected.

But I'll be running this locally for note summarization, code review, and OCR. Very coherent for its size.

My thoughts exactly. Why desolder the flash chip before probing for UART? Still, impressive work.

My friend works at one of the world's largest steel plants and recently he was discussing some ideas with me about solving the problem of people disappearing during inspections and being found dead after a few days. Apparently it is a huge problem there that he wanted to build a startup around the tech.

I am saying this because I think your target market may not be people stuck under rubble, but large scale industries, construction site workers, miners, firefighters, who can install the app beforehand. Cheers.

This is absurd. We have crossed the point of no return, llms will forever be in our lives in one form or another, just like internet, especially with the release of these open model weights. There is no bubble, only way forward is better, efficient llms, everywhere.

Won't a solenoid lock with microcontroller circuitry have a higher risk of failure due to water damage, power surges, and other factors(software bugs, hackers, cosmic rays!), in addition to wear and tear of a mechanical lock?

Until AI figures out debugging