But command of human attention is another matter: it can be quantified and it is command of attention that defines the value of FAANG+
The AI boosters hype it in such terms, both intra-model and extra-model: we track the attention and sell seats in the musical chairs of "investment", leaving it to users to explain the productivity gains to themselves.
It's a circus.
But most fraud is legal, and most illegal fraud never sees legal action taken against it.
But whether $THING should be adopted and whether it does increase long-term productivity is nowhere near as clear-cut.
Ironically you could get the same effect and save compute fees by simply having programmers stay home one day a week.
[1] https://metr.org/blog/2025-07-10-early-2025-ai-experienced-o...
> We do not provide evidence that: AI systems do not currently speed up many or most software developers
> Most alarmingly, the METR study found experienced developers took 19% longer with AI tools, despite believing they’d sped up by 20%.
> We do not provide evidence that: AI systems do not currently speed up many or most software developers
You act like that's a "gotcha" instead of a normal thing. All they mean by that [0] is that can't mathematically prove their developers/tasks/tool are representative for of the majority of worldwide developers/tasks/tools.
You're demanding an unreasonable level of investment for anyone to "prove a negative."
The burden of proof lies on the people claiming zillion-fold boosts in productivity. This especially true because they could profit in the process, as opposed to just burning money to prove a point.
[0] https://metr.org/blog/2025-07-10-early-2025-ai-experienced-o...
That said, I think LLMs will have a bigger effect than a self-balancing scooter, both positively and negatively.
> We do not provide evidence that: AI systems do not currently speed up many or most software developers
I would wager a large portion of that would be both generating and then triaging a certain level of institutional "bullshit communications".
For example, the employee must give daily status updates, and they have a three-item list for the day. They use an LLM to pad out their three-item bullet list into prose that sounds smart and active and impressive.
Then their manager says "TLDR" and uses an LLM to "summarize" it back into almost the original three-item bullet list. Each employee believes they've "saved time" using the tool, but it's a kind of broken-window fallacy [0].
[0] https://en.wikipedia.org/wiki/Parable_of_the_broken_window