You don't need to prove it, that was never a requirement. You can simply say it. The only complication is that there's a fair number of people who, for some reason, really want to pass LLM output as their own. They are present on HN too. But here's another ancient trick to overcome that: reputation. Either the reputation you already have, or reputation you build over time. If you have a reputation as an honest person with genuine interest in software, you really don't have to worry, and you will have audience for your work.
What was the point before? To have fun, build a community, and to get attention of hiring managers. The first two reasons are still there. The third is more questionable, but there's still plenty of companies that hire based on what you know, not how well you prompt.
People often assume one extreme or the other, but in my opinion, this is where these disagreements stem.
The credit for the Doordash meal should be given to the person placing the order. If it weren't for their amazing prompting^Wordering skills, which can make food materialize out of thin air, we would not be eating today.
There is something being done in both cases but it aint the thing.
Mind you there is nothing inherently wrong in using LLMs. The issue is when trying to pass it as your own output.
That said, some of the people posting slop projects as their own probably idolize him and would embrace the comparison!
But you could have if you had have chosen to. Did you ask the AI what the slow parts were, and why?
Why did you want to emulate a 6502 in the first place? If you just wanted to run some 6502 code then that's ok, you didn't really need to know much about the 6502. If you wanted to know how much better it could be if it had an single register that was the high byte of zero page address accesses then you probably would have to be engaged enough to find out, and the AI would help you answer questions. You could try rearranging the lookup table at the bottom of the die to see if you could make your own instruction set that would perform better overall. AI would help with that too, but to direct it to do so you would have to be learning something.
My actual goal was to understand if it was possible to build the equivalent of a rudimentary CPU inside of a living cell. At a high level, the 6502 shows me that most of the circuitry of the chip is not concerned with arithmetic, but rather orchestration and moving data.
Same problem actually exists when trying to map this concept to a cell... the lack of wiring makes this more difficult.
Of course there is -- ask you about it.
The coolest interview process i ever participated in (at MIT Lincoln Lab) was structured this way, and seems 100% LLM-proof. The interview was: give a talk about a cool/impressive technical thing you did for an hour and then answer questions from the interviewers about it for an hour. No way to succeed there without actually understanding.