Searching...
21 results for “ai technology”
Concept5 mentions across episodes
technology
Topic3 mentions across episodes
technology
Head to atlascian.com/startup/twist to see if you qualify for 50 free seats for twelve months. Vappy, add real time AI powered voice conversations to your apps or business in minutes, not months. Go to vappy.ai/twist and get a thousand minutes free p
1:27 / 2:34
from transcript1:27 – 2:34
“This AI application finally matches humanity's sci-fi vision of artificial intelligence”
an application of AI that actually matches the vision of what humanity thought artificial intelligence would be in all the sci fi books and movies leading up to say. And I think it's the first real re
6:17 / 6:35
market insight6:17 – 6:35
degrees of magnitude more applications that are made. Right? So you take a model, you take a few models, you package them together, and you build a new application out of it. Right? So think of Cursor. Right? Think of, perplexity. Right? Those are go
32:15 / 33:20
from transcript32:15 – 33:20
...technology. And, as to your point, right, I mean, these things would be real time. They'll be the fidelity will be 10 times what it is today. And you will be, at some point, right, probably have, like, AIs that can tell jokes you laugh at, which soun
51:42 / 52:50
from transcript51:42 – 52:50
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
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
And a lot of tasks can be done and should be done by much more energy efficient form factors. Just an extreme and and trivial example. If we put robots underwater, they should not be in the shape of humans. They better be in the shape of fish. Right?
12:51 / 13:56
from transcript12:51 – 13:56
“MIT Professor compares proactive AI agents to raising children until age 18”
But AI agents can convert words to actions. But proactive AI is the agents really being autonomous and doing actions on their own, you know, without we having to stimulate them or prompt them and so o
1:11 / 1:29
framework1:11 – 1:29
we now have a thinking machine. But, that was just a more anecdotal inspiration. The field really began in the fifties, when computer scientists came together and look at how we can use computer programs and algorithms to, to build these programs tha
12:00 / 13:02
from transcript12:00 – 13:02
...technology is taking off like never before. So the AI era is here. The vast majority of net new revenue that's happening in software land is actually coming from AI, both at the application layer and the infrastructure layer. It's hard to actually th
2:10 / 3:25
from transcript2:10 – 3:25
“Why AI apps will dominate over infrastructure in the next wave”
On the app layer, I think the reason for a new swath of companies is is more compelling just because I think application layer, ultimately, you are not only changing the back end, you're also really c
18:45 / 19:27
market insight18:45 – 19:27
What are the near term commercial applications that you can imagine for generating three d worlds? I believe creativity is a vastly exciting area where humans can be superpowered by, by, AI and by spatial intelligence. And here I draw analogy with so
13:36 / 14:55
from transcript13:36 – 14:55
Obviously, your your your your actions are you know, if you assume they're rational actors, which they are mostly, your what you do in a two year AGI versus five year versus ten years, very, very, very different. Right? Do you think agents are promis
4:31:20 / 4:32:35
from transcript4:31:20 – 4:32:35
all that. They build customer facing 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 cred
59:15 / 1:00:17
from transcript59:15 – 1:00:17
“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
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
41:53 / 43:04
from transcript41:53 – 43:04
Is it fair, like, as a starting point to say that nobody really agrees on the definitions of AGI and ASI? I kinda think there's a lot of disagreement, but among I've been getting pushback where a lot of people kind of say the same thing, which is lik
3:14:13 / 3:15:17
from transcript3:14:13 – 3:15:17
founders have collectively raised over 5,000,000,000 in investment, building their companies on .tech. So skip the hassle, head to www.get.tech/twist, or go to your favorite registrar and grab your .tech domain today. Now this often comes up rag in a
31:24 / 32:37
from transcript31:24 – 32:37
defines objective, breaks it down into task, allocates capital, monitors execution. The human now becomes a sensor, a hand, a temporary interface to reality. That's not automation. That's delegation. Now let's talk about the second project. Matt Schl
1:29 / 2:31
from transcript1:29 – 2:31
Have a podcast?
Run your podcast through Clypt
Get ranked clips, hooks, and ready-to-post copy from your own episodes. Free to try.