AI systems

“As AI systems get increasingly sophisticated at understanding us, I think one of the things that will become important from a user experience point of view is systems that understand our emotions and can simulate emotions in interacting with us.”

“The, you know, the really valuable thing that people have that, that, that need for these to create AI systems is they need algorithms, they need computers, but they also need data. And data is really kind of the scarce resource.”

“The, you know, the really valuable thing that people have that, that, that need for these, to create AI systems is they need algorithms, they need computers, but they also need data, and data is really kind of the scarce resource.”

“The trajectory is one where these AI systems will be doing more and more of the work that we're doing, and they'll be able to operate autonomously, but we will need to provide direction and guidance and oversee.”

“The bottleneck today for your experience, using a lot of these systems is not the algorithms or the data, the bottleneck Because quite literally the hardware and the power underneath it.”

“Now I say I had a perfect AI system that could tell me where every ship, aircraft, and soldier was in the world. What are you gonna do with that? Now I know everything. That is overwhelming.”

“That's probably where we're headed is a world where you have sort of Five big systems, let's call it, you know, three to five big AI systems, you go to their websites, they give you an answer, and you don't, and so what happens to the billion other websites if…”

“Could you imagine doing this five years from now? It'll be trivial.”

“Oftentimes, you know, your choice if you want to take out a target is dropping a 500 or 2000 pound bomb, which is going to cause widespread destruction and a lot of collateral damage. And so, an AI system that might be using autonomy to, like, a pretty intense…”

“The thing that's holding back people getting value from these AI systems is not performance. It's not about squeezing out that last half a percent from some eval function or some performance metric. It's about being able to confidently trust these systems.”

“When it comes to computer systems, we can put formal bounds on them. We can do this information theoretically. We can do this computationally. And like, that's gonna come, and once that happens, we will understand these systems fully, and it'll be very hard to…”

“You got to think about these AI systems as almost biological systems that are grown, not coded up, right?”

“I've still yet to see a system where you, they perform very well and you don't draw a circle that doesn't have a human being in it somewhere.”

“But I would be very surprised if you can't get your nuts and bolts Web app, mobile app type things spit out for you for far less and far faster than, and probably honestly with significantly higher quality and less back and forth with an AI system than, you kn…”

“Maybe what we need is the AI system where you feed the novel and it makes the movie. You know, which, by the way, first, you know, now, now that I say that, like, for sure that's gonna happen.”

“I think agency and goals is almost certain. There is a question. I think this is one of the areas where we want to have some clarity and control. That was a little bit like the kind of question of what kind of compute fabric holds it together because you can't…”

“And I think you know, systems that are purpose-built for scientific research are probably going to focus a lot on that, on the interpretability, on recording what exactly is, is is happening throughout each step of the process as it collaborates with a human s…”