Earlier quoted context omitted.
> but OTOH "never improve much" seems unrealistic, given the insane progress of the field in the last 3ish years The point is that no one should hire an intern or a junior because they think it will improve their team's productivity. You hire interns and juniors because there's a causal link between "I hired an intern and spent money training them" and "they joined my company full time and a year later are now produc…
Precisely - AI getting better or not has nothing to do with my burning cycles using it. My juniors do improve based on my effort. I can free ride on AI getting good enough later (wait) whereas I cannot with my own team of juniors. > 1 technical founder and a team of contract labor, trying to build that first MVP or cranking out early features in a huge rush Having worked in environments with a large number of junior…
We're probably just talking past each other, because the thing you care about is not the thing I care about. I am saying that, it used to cost some reference benchmark of $X/idea to iterate as a startup and experiment with ideas, but then it became 0.5X because gig workers or overseas contractors became more accessible and easier to work with, and now it's becoming 0.1X because of LLMs and coding agents. I am not making any sort of argument about quality being better/good/equal, nor am I making any sort of conversion chart between 10 interns or 100 LLM agents equals 1 senior engineer or something... Quality is rarely (never?) the deciding factor, when it comes to early pre-seed iteration as a startup tries to gasp and claw for something resembling traction. Cost to iterate as well as benefits of having more iterations, can be improving, even if each iteration's quality level is declining.
I'm simply saying, if I was a founder, and I had $10k to spend to test new ideas with, I can test a helluva lot more ideas today (leveraging AI), vs what I could have done 5 years ago (using contractors), vs what I could have done 10-20 years ago (hiring FTEs, just to test out ideas, is frankly kind of absurd when you think about how expensive that is). I am not saying that $10k worth of Claude Code is going to buy me a production grade super fantastic amazing robust scalable elegant architecture or whatever, but it sure as heck can buy me a good enough working prototype and help me secure a seed round. Reducing that cost of experimentation is the real revolution (and whether interns can learn or will pay off over time is a wholly orthogonal topic that has no bearing to this cost of experimentation revolution).