Replying to @⁨fdnomad@programming.dev⁩

All they need to do is get governments high on AI mass surveillance and they’ll be golden

All they have to do is be the last AI company standing, then just absorb everyone else’s hardware for cents on the dollar.

This recent “we should slow down” talk is basically just them stalling until the collapse. They’ve spent all they dare to try and be the one on top, now it’s just waiting until the bubble pops.

Meanwhile China is out there being the black swan of the whole field. If they manage to get models with efficiency and/or utility above what these guys are doing, they’re fucked and they know it. So it’s a ticking time bomb, and there’s not that much time left.

Replying to @⁨beep@piefed.world⁩

Not really. This article assumes revenue needs to cover total spend but there will be winners and losers so revenue only needs to cover the winners expenditure which is less than a trillion. It also seems to be using the wrong figure for datacenters. The amount of data center applications isnt the actual amount since they put multiple applications per data center to shop around for good deals.

Also the sheer amount of control you’d get from being the dominant AI provider is worth a lot. Its like YouTube running at a loss for 10 years now google owns TV.

Replying to @⁨beep@piefed.world⁩

How much is the cure/treatment for Parkinson’s worth? Or other intractable medical problems?

What about a device able to manipulate the containment field of a fusion reactor?

These are the reasons why everyone is buying the compute services - there are dozens of moonshot-grade problems that are suddenly possible to attempt. Many will fail, but whoever gets that one success will gain astronomical benefit.