Nothing I have read about LLMs and related makes it seem like they will be affordable in the future when it comes to software specifically.
I will preface this that I think AI agents can accomplish impressive things, but in the same way that the Great Pyramid of Giza was impressive while not being economically valuable.
Software is constantly updating. For LLMs to be useful they need to be relatively up to date with software. That means training and from what I understand the training is the vast majority of costs and there is no plausible technical solution around this.
Currently LLMs seem amazing for software because AI companies like OpenAI or Anthropic are doing what Uber and Lyft did in their heyday where they sold dollars for pennys, just to gain market share.
Mr. Yegge and friends have made statements about if cost scares you, then step away. Even in the article this thread is about he has this quote
> Jeffrey, as we saw from his X posts, has bought so many Claude Pro Max $200/month plans (22 so far, or $4400/month in tokens) that he got auto-banned by Anthropic’s fraud detection.
And so far what I’ve seen is that he’s developed a system that lets him scale out the equivalent of interns/junior engineers en masse under his tentative supervision.
We already had the option to hire a ton of interns/junior engineers for every experienced engineer. It was quite common 1.5-3 decades ago. You’d have an architect who sketched out the bones of the application down to things like classes or functions, then let the cheap juniors implement.
Everyone moved off that model because it wasn’t as productive per dollar spent.
Mr. Yegge’s Gas Town, to me, looks like someone thought “what if we could get that same gaggle of juniors, for the same cost or more, but they were silicon instead of meat”
Nothing he’s outlined has made me convinced that the unit economics of this are going to work out better than just hiring a bunch of young bright people right out of college, which corporations are increasingly loathe to do.
If you have something to point to for why they thought is incorrect, in regards to this iteration of AI, then please link it.