This is never going to be a commercially viable project. It’s a wonderful idea for a hobbyist passion project. But if you’re not actually coding it yourself it feels far less interesting. I can’t really marvel at what they’ve created because I know that with a stack of tokens I could do the exact same thing myself.
At least take the time to hand write a description of what it is and acknowledge the tool assistance as a known fact.
Making fake claims that something is totally hand written is I think what bothers people about this.
Personally, I don't care as long as the end result is good, but a lot of AI software tends to be in the lower end of the quality range.
Similar strategy can help smaller local models achieve greater results too. Small steps + many guardrails.
I can understand some of the viewpoint around LLMs. But I don't agree with it fully and just find it too useful to be able to get all the things I wanted to do for the last 30+ years done.
And I also think that some of the people who are threatened and angry and who have really deep systems level engineering skills and knowledge actually are in a unique position to benefit most from these tools as they will actually understand and intervene better and produce higher quality. Most of these "really neat vibe coded" projects stall at a certain point where the prompter no longer understands the beast they've created. People with deep knowledge and experience will hit that wall much later.
Anyways, I think we're at a juncture where what is worth caring about and focusing on in computers is going to have to have a radical overhaul. It's tough to separate the gatekeeping/elitism from genuine critique.
I presume that there were similar movements during 1950-1980s who tried to gaslight the publics against using computers while using the computers to gain a competitive advantage over them.
Though, I have been finding a lot of utility in programs that support otherwise deprecated hardware, now that is some good slop.
Here on HN? I don't believe that.
Can we see your results and methodology?
Meanwhile, his startup that received multi-million dollar funding and developed proprietary specialized LLMs, continues to exist being somewhat profitable.
Universal AI, however, poses an existential risk to his company. So he turns into a typical gaslighter: he tries to convince everyone that AI is a dead-end, not worth it, a total disaster. By doing so, he hopes to prolong the stream of existing profits maybe just for one extra day, but internally he already knowns that his company is toast.