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17 results for “ai applications”
there is no single right way of doing it. You can decide how to constrain that autonomy. Right? A very I mean, a different example of how you could constrain autonomy is preauthorization use cases. Insurance preauthorization is a very ripe use case f
16:28 / 17:30
from transcript16:28 – 17:30
It did something for them, and they said, wow. Computers sure are amazing these days. What has AI most unlocked? The most important thing that it has unlocked for us is ability to scale. People focus on use cases where AI can do better than a person
52:28 / 53:33
from transcript52:28 – 53:33
has been the explosion of firsthand understanding of how powerful AI can be that's been driven by these large language models. Obviously, the things that we are building that fuse data from thermal vision and radar and signals intelligence processors
51:34 / 52:49
from transcript51:34 – 52:49
I I feel two things are true at the same time. Many more people today are using AI than they were before. But the delta, the difference between those that know how to use it and those that are just about starting is actually growing, not, not shrinki
8:12 / 9:14
from transcript8:12 – 9:14
try yourself, you can't find it, you use the LLM, and then you don't get frustrated because it helps you and you move on to something that you enjoy. And so I think looking at these statistics, I think also the difference is what what is not factored
1:47:14 / 1:48:19
from transcript1:47:14 – 1:48:19
Where are we at on the journey right now? And I wanna go into your crystal ball as we start thinking about the shifts in society. Where do you think we're gonna be in three, five years' time? Georgia? Well, I went to MIT this year. Sorry. Then and I
1:03:00 / 1:04:11
from transcript1:03:00 – 1:04:11
and it gets the wrong answer, it doesn't know how to solve the problem. You look at it and go, okay, I'm using AI to try to do a hard math problem. This language model versus the other one got it right, got it wrong. I my prompt was changed. It's all
19:20 / 20:35
from transcript19:20 – 20:35
AI agents that can do an insane range of things, like finding the perfect home or picking TV shows or originating mortgages, shipping a sofa, returning shoes, authenticating patients for health care, ordering credit cards, saving subscribers from can
49:23 / 50:35
from transcript49:23 – 50:35
evolution. Where are we in going from demo ware to producing real value, tangible value? What are some other ones? Synthetic data is one we talk about a lot. Well, yeah. We've been talking about them for ten years. Yeah. I know. But this is so great
38:37 / 40:01
from transcript38:37 – 40:01
often are building things, but it takes a while for big corporations to wanna take risks on emerging technologies. And what I saw when I was in government, I would deal with the top CEOs or leaders in the world, and most of them spend a lot of their
17:41 / 19:08
from transcript17:41 – 19:08
or whenever the ENIAC came out. And then two years ago was this AI era is coming out as well. And the Nasdaq is higher. We know that. But the AI era really is playing out. And the cool thing is this is not a net new thing. This is building on everyth
2:10 / 3:25
from transcript2:10 – 3:25
So developers actually had their ChatCha BT moment at least twelve to eighteen months months before everybody had their ChatChibuty moment on the consumer side. And so very similarly, Cursor, Windsurf, Replit, these products are now having their AI a
5:59 / 7:02
from transcript5:59 – 7:02
...applications. We believe that America's destiny is to dominate every industry and be the first in every technology,
0:45 / 1:54
from transcript0:45 – 1:54
You go from sandbox to progress, and then you add one more domain at a time and generalize, I think. In the history of NLP and language processing, instruction tuning and tasks per language model used to be, like, one language model did one task. And
4:39:41 / 4:40:52
from transcript4:39:41 – 4:40:52
543210. All engine running. We have a lift off. And one small step for man, one diaphragm. The world's largest airliner, each wing is big enough to hold five tennis courts. This new technology made it possible to meet the user's crucial needs. Enter
0:06 / 1:08
from transcript0:06 – 1:08
I, I almost felt like I was like processing some sort of like ethical boundary, but we were just talking about like the stock market, but it still felt different in the interesting way. Almost like I was talking to a person, even though I knew better
51:42 / 52:50
from transcript51:42 – 52:50
“AI models are finally mature enough to create entirely new user experiences”
sessions were increasing over time. So if you trace it back to 2023 and look at every cohort for every quarter since then, you can see how session lengths have been increasing, and there would be infl
21:29 / 22:08
market insight21:29 – 22:08
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