It takes no effort to play LLM or not, you don't need to know anything about the topic or put anytime into reading and understanding the submission, just find that em-dash and you can turn every discussion into meta slop.

▲

tyingq an hour ago | parent [-]

I also think an LLM isn't going to just spit this all out and viola, it boots. I imagine there were many rounds of jtag debug, copy/paste into the LLM prompt, with enough human knowledge/context to say the right thing, suggest some existing implementation snippet, etc.

	▲	Aurornis 25 minutes ago \| parent [-]
		> I imagine there were many rounds of jtag debug, copy/paste into the LLM prompt You may not be familiar with modern LLM tools. You don’t need to copy/paste anything. You can easily instruct your agent to access the serial port and JTAG debugger and it will easily handle it through subsessions. The tools have moved rapidly this year. Something like this is entirely doable by attaching the right cables, telling the agent where to access everything, and then keeping it fed with enough tokens to keep going. There are some amazing projects doing reverse engineering or porting to micros fully automated. The results are still full of typical LLM output problems, but it’s amazing what can be brute forced with enough tokens in an LLM loop. When I’m evaluating MCU platforms for new projects I’ll some times set an LLM loose on each to get a proof of concept running so I can do benchmarks or testing. It can save a lot of time finding showstoppers or roadblocks before I waste a lot of time on doing the problem correctly.