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.
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.