You get 80% done in 20% of the time. The LLM shrinks that 20%. So a 100 task maybe takes 5 hours instead of 20 which is great. But the remaining 80 hours are not as improved. So a 100hr job takes ~85 hours which is very good.
This is in-line with Googles study showing about a 10% productivity increase and other research I’ve read. I suspect this will increase with more integrations and workflow adaptations.
But even after power tools changed how quickly carpenters can frame and rough-in a house, the finishing work (which uses power tools too) still takes the majority of the time.
It might seem so, but it is not an AI promoted post. The book was finished with the AI tools, but a bulk of it was written by myself plus the structure and direction.
And I am human, who first finished a similar course roughly 20 years ago, worked as a TA and taught students programming and algorithms
> The troubling thought I had is that AI does not displace the technicians, or the vending machines. It replaces the manager.
This is really why ai will have a more profound impact on the society: it is fundamentally changing the hierarchy of conpetence we have gotten so accustomed to.
Why the difference that I’ve seen the exact opposite? It brutally reinforces it. It’s no longer the ability to do a task that is valuable, it’s the ability to understand what tasks need to be done.
I have started to say that it will be irresponsible for people to. Manually write code in a year or two from now - and I am setting the systems I work for up to that.
It will happen sooner than later.
Already now I can not compete with agentic programming.
Deferred spending is quite unnatural. That I can work 1 hour today and buy youghurt in 2 years is an artifact of our system.
But this also relies on someone making that youghurt in 2 years from now.
It is that key dogma that will likely be under pressure for future pensioners.
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