I'm simply pointing out the dissonance between what AI companies have been telling us for the past 2+ years, and the results that we would expect to see if their claims were true. I'm not holding my breath that their promises will magically materialize given more time. If they were honest, they would acknowledge that the current tech simply won't get us there because of fundamental issues that still haven't been addressed (e.g. hallucination). But instead it's more profitable to promote software that "thinks", "reasons", and is "close to digital superintelligence".
That menu app is an example of vibe coding, not of increased productivity. He sidestepped the bulk of the work that a human still needs to do to ensure that the software works beyond the happy path scenario he tested, has no security issues, and so on. Clearly, the reason the DevOpsy tasks took him much longer is because he's not an ops person. The solution to this isn't to offload these tasks to AI as well, and ignore all the issues that this could cause on the operational side. It's to either offload them to a competent ops engineer, or become familiar with the tools and processes yourself so that it doesn't take you a week to do them next time.
If you want to use AI to assist you with mindless mechanical tasks, that's fine, I frequently do so too. But don't tell me it's making you more productive when you ignore fundamental processes of software engineering.
Karpathy himself gave a perfect example in the talk with that restaurant menu to pictures app - it took few hours of AI-assisted coding to make it, and a week of devops bullshit to publish it. This is the case for everyone, so it slows down the feedback cycles right now.
Give it a couple of months; if we don't have clear evidence of recursive improvements by this time next year, I'll concede something is really off about it all.