It looks like jensen did this to increase nvidia production, so it would be easier to smuggle gpus to china. US businesses and consumers have had to pay billions more for their hardware because of jensen's smuggling ring.
The only winners were jensen's bank account and chinese businesses that wanted nvidia gpus.
Enough people have gotten so badly burned by the "SAAS trap" that if people are actually making real use out of it, they'd be very likely to buy the hardware if it was at ~2024 prices.
This is the thing that Altman omitted from his «Local inference won't work out like ya'll think it will.» comment during that interview over beers a little while back.
Unity was notoriously trying to solve this but couldn’t find a way to fix latency
I think Google stadium(?) ran into the same issue
Concurrent shared state at raytracing speed across the internet is basically impossible
Concentrating the relevant compute resource in DCs makes sense, but to companies seeking to sell AI services, not people overall.
Can't imagine when consumer demand isn't surging for AI.
FWIW this feature was removed a few years later.
Just browse any thread about renewable energy where the tech bro crowd believes that every challenge is a “solved problem”.
Were that the case, private industry would be building data centres powered by nothing but wind and solar energy. Yet, the preferred power solutions still appear to be the power grid or skirting emissions regulations via gas turbines.
It made me sad how it destroyed so much cohesion and eliminated people's jobs. I don't find that amazing. It is killing people literally now. Not everyone will be able to find a new job.
Just look at this guy - he retired mostly due to AI taken over ruby, as one example of many more:
https://po-ru.com/2026/10/18/why-im-no-longer-updating-this-...
And that's about a month ago only, aka quite recently.
AI changed everything. Mostly for the bad. In a few use cases one can say that AI led to interesting changes, e. g. discovering bugs in projects (assuming here these are real discovers about real bugs, but quite many were real bugs indeed). This led to the death of all bug bounty programs. It makes no sense to pay humans when computers can do the same in a better way.
But if that were true, why would it be necessary to force the inevitable thing on everyone everywhere?
A someone who today handed his notice in as a dev, in preference to going full-on AI at a company that is determined to become a meat relay farm ("AI at the heart of everything we do!!!!!" -- new CEO, whose name it might be disrespectful that I don't remember), even someone like me who doesn't want to play that way can see that they're is definitely some truth in that dogma. I'm resigned to maybe never earning more than menial wages again, and if you refuse to get up to speed I think it'll get you that way too. Of course I expect is to get half of those who _are_ up to speed just as badly in the medium/long term. Programmers and such will be commodity workers like those in the service industry once almost anyone can do it, with the exception of a lucky minority.
> But if that were true, why would it be necessary to force the inevitable thing on everyone everywhere?
Because the people selling the inevitable thing want to force their version of it on you before others do, or force theirs into the mindset of those already converted but using something else, in the hope that when/if you do pay for a subscription it will be with them instead of the others.
> But if that were true, why would it be necessary to force the inevitable thing on everyone everywhere?
To argue as devil's advocate (advocatus diaboli [1]): It is indeed true that AI is inevitable, so you better just get used to it. But we want you to get used to our AI and not to come competitor's, so we force the inevitable thing on everyone everywhere, so that the inevitable thing that you get used to is our thing, and not the competitor's thing.
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It's the behemoth models (and their agents) that are actually constrained. There is not enough compute to meet the demand for people offloading their day job sized models.
...and, in my experience, those software firms are having a hell of a time selling shovels to bumpkins that seem skeptical of this gold rush (mid-sized organizations suffering from inflation and other economic headwinds)
1) For about 1% of people AI is completely transformative to their jobs and let's them work much much faster. Many engineers could easily blow $5,000 in compute per month on AI, and that number is only going up as AI gets better. A year ago, it would have been insane to spend that much on AI, now it's normal. This is driving all the demand, and will continue to be useful.
2) For 99% of people they have no use for AI short of better search. All of the AI tools being crammed everywhere are businesses trying to figure out how to not "get left behind" and ride the hype train. There is no demand for this stuff and I see the parallels to the dotcom bubble.