Unfortunately that's not how it works. Productivity gains have already increased tenfold in the past, yet still all work full time.
It used to be that 80+% of the population worked in agriculture. In developed countries that number is now around 1-2%. Some of the freed labour was funneled into improving living standards, some of it was funneled into new jobs created by the increasingly complex society (the "intermediate economy").
With AI, the same is true: labour is freed by the productivity gains (which I doubt are 10x sustainably but whatever), more labour is needed for power generation, mineral extraction, maintaining this new extra layer of complexity in the intermediate economy, etc. In the end we might see, say, a net 3% increase in global productivity per year over the next 10 years, which will be funneled into increasing living standards and increasing economic inequalities, but not in reducing working hours.
If you accept living below average standards, you could easily work a single day of the week for the rest of your life. But why would an employer hire 5 people working one day a week, instead of one working 5 days a week? They won't, hence we don't see a reduction in working hours.
The alternative is to work full time but retire earlier, much earlier, than you would otherwise, which in the end is the equivalent of having worked one day a week for your whole life.
I highly recommend reading Lean Logic by David Fleming, it explores several of these concepts in a very interesting way.
I enabled it and I had to read carefully to check if it was really active... turns out I never read the words that caveman omits, so to me it makes zero difference.
> The report estimates that carbon emissions from models with the least efficient inference are over 10 times as high as those with the most efficient inference. DeepSeek’s V3 models were estimated to consume around 23 watts when responding to a “medium-length” prompt, while Claude 4 Opus was estimated to consume about 5 watts.
This makes absolutely no sense. I suppose they meant watt hours, and that's a weird way to explain carbon emissions...
It's impressive how much details they give in the release notes, down to the filenames of added sprites and changes to the shaders. I can't think of another game that does that.
In science fiction maybe. We're hitting real limits on compute while AI is still far from a level where it would harmful, and FHE is orders of magnitude less efficient than direct calculation.
> That trap catches almost everyone right now.
Has everyone really become so stupid now? I wouldn't even have thought of doing such a horrible thing as using AI to format JSON...
Needless to say I stopped reading there.