This pressure shifts applied AI deployment to specialized spin-offs.
There’s a sense in which frontier AGI companies have a lot of power.
But there’s also a sense in which they’ve disempowered themselves by speeding up the field so much that they have to focus hard on racing to remain at the frontier.
Yes. One potential implication is that there are a bunch of applications of frontier AI that you'd expect the companies to be well placed to lead on. But they might not have time and bandwidth. One reason we might therefore expect big things from the offshoot companies Deepmind and others are spinning off.
There’s a sense in which frontier AGI companies have a lot of power.
But there’s also a sense in which they’ve disempowered themselves by speeding up the field so much that they have to focus hard on racing to remain at the frontier.
This pressure shifts applied AI deployment to specialized spin-offs.
There’s a sense in which frontier AGI companies have a lot of power.
But there’s also a sense in which they’ve disempowered themselves by speeding up the field so much that they have to focus hard on racing to remain at the frontier.
Users agree that frontier AGI companies accelerating the field could lead to offshoot companies achieving big things in applications.
