Today, LLMs make development faster, not better.
And I'd be willing to bet a lot of money they won't be significantly better than a competent human in the next decade, let alone the next couple years. See self-driving cars as an example that supports my position, not yours.
In short, their claims were inaccurate and motivated by protecting their existing racket.
You don't have to use them this way. It's just extremely tempting and addictive.
You can choose to talk to them about code rather than features, using them to develop better code at a normal speed instead of worse code faster. But that's hard work.
I will use AI for suggestions when using an API I'm not familiar with because it's faster than reading all the documentation to figure it the specific function call I need, but I then follow up on the example to verify it's correct and I can confidently read the code. Is that what you're taking about?
A vibe coder without 20+ years of experience can't do that, but they can publish an app or website just the same.
I'd be willing to bet 6 figures that doesn't happen in the next 2 years.
For people here on HN I agree with you; not in the next 2 years or, if no-one invents another model than the transformer based model, not for any length of time until that happens.
They've been "on the cusp" of widespread adoption for around 10 years now, but in reality they appear to have hit a local optimum and another major advance is needed in fundamental research to move them towards mainstream usage.