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19 results for “autonomous ai”
...is, like, autonomous AI models, which is you give them a task and they work on it in the background. My personal definition of AGI is much simpler. Like, I I think language models are a form of AGI, and all of this super powerful stuff is a next step
1:17:13 / 1:18:16
from transcript1:17:13 – 1:18:16
“MIT Professor compares proactive AI agents to raising children until age 18”
...being autonomous and doing actions on their own, you know, without we having to stimulate them or prompt them and so on. So really kind of it's like raising a child and age of 18,
1:11 / 1:29
framework1:11 – 1:29
...owned autonomous vehicle. Toyota, GM, Ford, you'll have a bunch of, these companies shipping these types of cars. And if most of us have access to this technology, don't these cars essentially become physical AI agents? These become your your kind of
57:45 / 58:49
from transcript57:45 – 58:49
“The AI safety debate is over - autonomous agents are inevitable”
...autonomous agents and whether this platform will decline. Right? If he gets bored and goes on to the next thing or not, I don't know. But the horse has left the stables for these autonomous agents
56:50 / 57:23
prediction56:50 – 57:23
...is, like, autonomous AI models, which is you give them a task and they work on it in the background. My personal definition of AGI is much simpler. Like, I I think language models are a form of AGI, and all of this super powerful stuff is a next step
1:17:51 / 1:19:02
from transcript1:17:51 – 1:19:02
...fully autonomously. As opposed to the digital world, I can't book a ticket online right now. Physical autonomy is ahead of digital autonomy in 2025. I think AI agents are, like, reeling day one here. Like, Chargebee T only came out in 2022. The slope
0:00 / 0:54
from transcript0:00 – 0:54
Thanks for having us. Alright. So let's start absolutely up at the top, guys. We're talking about Agintiq AI security. Everyone's heard the phrase AI agents or Agintiq AI. Perhaps we should just start with some ground level here. How does your compan
2:14 / 3:17
from transcript2:14 – 3:17
And You mentioned agentic. If you can just define what agentic is as well. Yeah. So a lot of these definitions I mean, to Georgia's, comment earlier, nobody really knows 100% of what they're talking about here and the definition of agentic will vary
6:41 / 7:53
from transcript6:41 – 7:53
...of autonomous science. And if you consider science as you know broadly speaking some combination of theory, of computation, and of experimentation, there's work being done in the AI ecosystem across areas like mathematical reasoning, physical reasoni
11:15 / 12:15
from transcript11:15 – 12:15
...most highly autonomous agents out there being used that that actually works.
6:01 / 7:06
from transcript6:01 – 7:06
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
...autonomous. And every machine, every company that builds machines will have two factories. There's the machine factory, for example, cars. And then there's the AI factory to create the AI for the cars. And so maybe you're, a machine factory to build
57:43 / 58:53
from transcript57:43 – 58:53
...be autonomous someday. And that someday is probably around the corner. So everything that moves. We already know that your lawnmower is gonna you know, who's gonna be pushing a lawnmower around? That's craziness. Unless you want to. I mean, it's, you
56:58 / 58:02
from transcript56:58 – 58:02
...owned autonomous vehicle. Toyota, GM, Ford, you'll have a bunch of, these companies shipping these types of cars. And if most of us have access to this technology,
57:00 / 58:00
from transcript57:00 – 58:00
is using our AI safely. No jailbreaking, no prompt injection, making sure my chatbot doesn't recommend a competitor. Now the most recent layer is agents. The people are building these AI agents. They take on the authorizations and capabilities of the
2:14 / 3:15
from transcript2:14 – 3:15
billions of interactions, you really are almost allowed to fail never. When you have embodied systems that are put out there in the real world, you you just have to solve so many problems you never thought you'd have to solve when you're just thinkin
3:12:45 / 3:13:49
from transcript3:12:45 – 3:13:49
So you are providing, like, the brakes and the steering for the AI models. Like, when we're talking about agents to make them work, I mean, this is something you hear from Microsoft, from OpenAI, etcetera. They want all the access. They want all the
3:00 / 4:01
from transcript3:00 – 4:01
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
in order for an AI assistant or an agent to be able to help you in that. And, there's actually an interesting parallel or draw between kind of, individual contributors becoming managers in different ways. Like, where at some point, especially when yo
5:58 / 7:03
from transcript5:58 – 7:03
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