I'm saying that there's a cost to waiting, just like there's a cost to jumping in early. The cost is SPECIFICALLY that it is harder to jump in to a mature field with its own jargon and concerns. The assumption I think folks are making is their engineering prowess will save them here: whatever complicated thing that matters in AI land will be easily visible to an rank outsider.
The whole premise of "imma wait" is not sober patience, it's the implied "imma wait until everything falls apart, then we'll go back to what I know how to do." that people don't like saying. It's an argument (often not even stated as such) that the people who don't jump in will be healthier and happier for just having ignored this wave.
I think that's baloney. It's not FOMO I'm arguing about but the idea that real practices and infrastructure are being built right now that people are internalizing. Folks who aren't a part of it just aren't internalizing any of that. As the tech gets better (and it will!), those practices and infrastructure get more complex, more specialized. The idea that I can just wait years and then "engineer harder" to undertand this from the outside while being competitive is fantasy. Maybe some subset of people can, bully for them. Most people won't be able to.
Future programmers aren't doomed. Future programmers who can't or won't adapt to the biggest change in computing since the slide rule are doomed.
> The cost is SPECIFICALLY that it is harder to jump in to a mature field with its own jargon and concerns.
Hasn't that been the case for decades? What specifically is different now, such that for some reason it's harder to jump in now than it was before?
If anything, LLMs are supposed to make things easier, aren't they?
> it's the implied "imma wait until everything falls apart, then we'll go back to what I know how to do." that people don't like saying.
You can read whatever assumption you want into the blog post, but it's not there in the words. You're dunking on a straw man.