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19 results for “autonomous agents”
Concept3 mentions across episodes
agents
“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
...autonomous agents that are actually being deployed in production. And the reasons for that are privacy, security, compliance. It's it's hard to just say to an agent, hey. Here you go. Go do something, and, you know, we're not really gonna have much o
33:30 / 34:46
from transcript33:30 – 34:46
...that are basically operating autonomously on chain buying tokens, trading tokens, ingesting data, drawing judgments, and then expressing those judgments in the market in real time. A really interesting use case for agents comes back to prediction mar
42:45 / 43:48
from transcript42:45 – 43:48
...autonomous agents. And, yeah, I think what what a lot of folks are starting with is that is the former, they're starting with these more semi deterministic workflows, these AI workflows that they they are agents, but they may require a little bit mor
37:23 / 38:38
from transcript37:23 – 38:38
“MIT Professor compares proactive AI agents to raising children until age 18”
...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 on. So really kind of it's like raising a child and age of 18,
1:11 / 1:29
framework1:11 – 1:29
...right. Agents is probably the biggest buzzword in technology this year, but it seems like you guys were early. Yes. And and it's it's kind of getting misused in similar ways like the cloud or or any any sort of buzzword. The fundamental difference be
13:26 / 14:30
from transcript13:26 – 14:30
...of agents actually is also useful, which is, is it autonomous or non autonomous? Is it does it have a deterministic workflow? Does it have a non deterministic flow workflow? Is it working synchronously? Is it working asynchronously? Then you have the
5:54 / 7:01
from transcript5:54 – 7:01
...Of course, agents are more than pure technology. They're also becoming products, which means they need to be marketed. And how someone positions their product has a major effect on how they price it. What's more, the ultimate value of any given agent
8:59 / 10:13
from transcript8:59 – 10:13
...we try to define agents. Yeah. And I think the way to think about this problem space is, you you know, in the same way that we kinda think about autonomous levels of driving. Right? You have, like, a level zero agent. Well, that is probably software
5:47 / 7:05
from transcript5:47 – 7:05
...having agents that do things on your behalf and then go out, you know, go go out and kind of accomplish missions. There's this, you know, kind of debate which is okay. How like, obviously, you know, it's a big deal even to have an AI agent that can d
9:35 / 10:54
from transcript9:35 – 10:54
...autonomous vehicles and said, AI agents are a real problem, but it's like a ten year problem. It's like a decade problem that we need to work on. And I think most of what we're seeing in the market now is, like, is not the decade version of this prob
3:47 / 4:50
from transcript3:47 – 4:50
and agents are only really just getting going. Most people are not using these computer use agents because they're too slow right now, or they're not, they're still, like, previews, but it's clear that's where everything is going. Then we're gonna se
18:42 / 19:48
from transcript18:42 – 19:48
...agents are the I think the right way to think about agents is they should be treated much like humans in the organization. They are unpredictable, much the same way humans can be unpredictable, but they are given jobs, and they need to be evaluated o
21:43 / 22:47
from transcript21:43 – 22:47
...AI agents or Agintiq AI. Perhaps we should just start with some ground level here. How does your company define that concept? AI agents are effectively an LLM that sits within a framework. Right? You have a web application that connects off to differ
2:14 / 3:17
from transcript2:14 – 3:17
...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
...idea of agents. Right? LMs were really bad at it, but we started getting sort of tool calling and, like, you know, in 2023, this idea that the LM can call a function or call a tool. And that's like the sort of the beginning of what you might call an
12:42 / 13:47
from transcript12:42 – 13:47
...agents to make indeterminate tasks. Right? Meaning, take a set of actions, look at the output. Based on that, define what the next sort set of actions should be. And so that leads to very interesting possibilities if you can, imagine in this this abs
1:29 / 2:40
from transcript1:29 – 2:40
...The hard mode is agents are kinda running on their own, people check-in with them occasionally, they're doing things autonomously, how do you give them access to resources in the enterprise,
7:15 / 8:29
from transcript7:15 – 8:29
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