One of the things with AI is that it’s a largely constant load factor. Nuclear is really good for that.
However, I highly doubt any of these new nuclear plants are finished before the AI bubble bursts. SMRs haven’t even been proven in practice yet, and this is the first good news they’ve had in a while. Restarting Three Mile Island isn’t expected to work before 2028. The hype bubble could easily burst in the next year, and even if it doesn’t, keeping it going to 2028 is highly unlikely.
So we’ll probably have some new nuclear around that isn’t going into AI, because those datacenters will be dead when the hype passes. Might as well use them, I guess.
However, I highly doubt any of these new nuclear plants are finished before the AI bubble bursts.
Given the military applications of the technology, I don’t think it is ever really going away. Consumer AI (those user facing image generators and chatbots, for instance) might lose funding. But Israel’s Lavender AI is going to become a permanent fixture in our lives, as it’s rolled out for the policing of more and more territory.
As it exists now, no. The models are reaching their limit, and they aren’t good enough. They can’t absorb any more information than they have, and more training iterations aren’t making them better. They’ll do some useful things; a recent find of the longest black hole jet ever found was done in part from AI classification of astronomy data. It’s going to get implemented into existing tools and that’s about it. It won’t be enough to justify the money that’s already been dumped in.
Historically, the field has been very bursty. Lots of money gets dumped into it, it makes some big improvements, and then hits a wall. Funding dries up because it’s not meeting goals anymore, and the whole thing goes into slumber for a decade or two. A new breakthrough eventually comes, and then money gets dumped in again. We’ve about maxed out what the last breakthrough can give us. I expect we’ll need at least one more cycle of this before AGI works out.
One of the things with AI is that it’s a largely constant load factor. Nuclear is really good for that.
However, I highly doubt any of these new nuclear plants are finished before the AI bubble bursts. SMRs haven’t even been proven in practice yet, and this is the first good news they’ve had in a while. Restarting Three Mile Island isn’t expected to work before 2028. The hype bubble could easily burst in the next year, and even if it doesn’t, keeping it going to 2028 is highly unlikely.
So we’ll probably have some new nuclear around that isn’t going into AI, because those datacenters will be dead when the hype passes. Might as well use them, I guess.
Given the military applications of the technology, I don’t think it is ever really going away. Consumer AI (those user facing image generators and chatbots, for instance) might lose funding. But Israel’s Lavender AI is going to become a permanent fixture in our lives, as it’s rolled out for the policing of more and more territory.
You don’t think there’s any chance that AI as it exists today might be just the start of a huge industry?
As it exists now, no. The models are reaching their limit, and they aren’t good enough. They can’t absorb any more information than they have, and more training iterations aren’t making them better. They’ll do some useful things; a recent find of the longest black hole jet ever found was done in part from AI classification of astronomy data. It’s going to get implemented into existing tools and that’s about it. It won’t be enough to justify the money that’s already been dumped in.
Historically, the field has been very bursty. Lots of money gets dumped into it, it makes some big improvements, and then hits a wall. Funding dries up because it’s not meeting goals anymore, and the whole thing goes into slumber for a decade or two. A new breakthrough eventually comes, and then money gets dumped in again. We’ve about maxed out what the last breakthrough can give us. I expect we’ll need at least one more cycle of this before AGI works out.