abc_lisper

This is one of the best comments I have read on HN about AI.

This story made me very happy. Lol

50-100? How do you do this and for what purpose?

I don't know how one would build anything without knowing. If it was true, I would be building a competitor to Anthropic right now.

Careful with using these small models. The other day, I asked it "Can dogs eat avocado" and answer was emphatic Yes.

This is not meant as a criticism, but people should be aware of their limitations.

Why is the system "card" 140 pages long! Was it generated by LLM too?

Reference?

Was it written by one person?

I thought about this first when chatgpt 3.5 came on the scene. Yes, you _can_ at some time in the future, replace programs with AI which would be slow to an extent - if AI can write and manage the code, it _could_ be even faster.

But there is a kicker here. It is upto LLM to discover the right abstractions for “thinking” while serving the requests directly or in the code .

Coming up with the right abstraction is not a small thing. Just see what git is over cvs - without git no one would have even imagined micro services. The right abstraction cuts through the problem, not just now, but in the future too. And that can only happen if the LLM/AI managing the app is really smart and deal with real world for a long time and make the right connection - these insights don’t even come to really smart people that easily!

What do you call GPT 3.5?

Which one did you use and when was this? I mean, no body gets anything working right the first time. You got to spend a few days atleast trying to understand the tool

I doubt there is much art to getting LLM work for you, despite all the hoopla. Any competent engineer can figure that much out.

The real dichotomy is this. If you are aware of the tools/APIs and the Domain, you are better off writing the code on your own, except may be shallow changes like refactorings. OTOH, if you are not familiar with the domain/tools, using a LLM gives you a huge legup by preventing you from getting stuck and providing intial momentum.