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Topic6 mentions across episodes
AI implementation
How long until we have AI agents doing pen testing for other AI agents? And I'm not being facetious. I'm actually curious. Right now. So our solution is based on AI testing AI. It's not just one of prompts, basically. It can interrogate the other AI.
20:58 / 22:11
from transcript20:58 – 22:11
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
Outside of that, the the default conventional AI weapon would be drones, which is, I don't know. It that makes sense that come or that that countries would compete on that. And, I think that it would be a mistake if The US weren't, trying to do more
11:15 / 12:28
from transcript11:15 – 12:28
So you see a lot of talk about this, but if you talk to the organizations and you see how many agents have you onboarded, we're talking two or three, maybe. Right? We're not talking a lot. But so just to put that number into context, how many agents
15:00 / 16:01
from transcript15:00 – 16:01
on one model. That's 2.5, not three point o. Three point o is coming in a couple weeks. Then we're gonna do GROC, with XAI, and we'll see where we get to with the other two. And then we do it across classification level. So it's gonna it is going to
13:30 / 14:31
from transcript13:30 – 14:31
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
“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
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
Like, 70% of agents are actually not even AI agents as you think about. Like, most of the agent agentic process today are actually traditional script writing and just traditional automation. Right? And and I think that's why I don't self identify as
56:14 / 57:22
from transcript56:14 – 57:22
the same kind of loop that we talked about becomes increasingly important, like fine tuning and self healing, observability, really good evals, all of that. I mean, the good news is that there are systems that manage this for billions of people today
24:43 / 25:53
from transcript24:43 – 25:53
So everything I've seen, people's intuition seems to fail on robotics. So you have this kind of general optimism. I've seen this on self driving cars. People think it's much easier problem than it is. Similar with drones. Here, I understand it a litt
1:26:59 / 1:28:02
from transcript1:26:59 – 1:28:02
companies already using Pipedrive. Right now, you'll get a thirty day free trial. No credit card or payment needed. Just head to pipedrive.com/simplecrm to get started. That's pipedrive.com/simplecrm. So there's a lot of noise about AI, but time's to
19:28 / 20:31
from transcript19:28 – 20:31
instant, so I would be wary of anything that you see as, like, an instant AISDR. Oh, roll it out today. I'd be wary of that for a lot of reasons. And two, I would say a lot of this is the prep that only you can do. Right? Like most of these vendors,
34:31 / 35:31
from transcript34:31 – 35:31
to the liability management transactions we talked about. Mhmm. So perhaps folks are thinking that that will precipitate. Perhaps it's a reaction to some of the maturity walls that folks understand. Or perhaps it's some of what I was saying in the op
33:44 / 34:50
from transcript33:44 – 34:50
on our staff with our three AI SDRs and AI five AI SDRs and BDRs in total. They all took about three to four weeks to train, and then iteration daily after that. And that training, that onboarding, we did it all even us, and we're pretty AI savvy. Am
17:57 / 19:08
from transcript17:57 – 19:08
look. Like, we have, you know, more than 15,000 agents that are, deployed on our service today, at least at the the Azure service. There's a bunch of other platforms in the company. And I would just say that I think that we should really focus on, ma
33:45 / 34:46
from transcript33:45 – 34:46
These could help with other types of weapons research, like help explore exotic EMPs, could help, create better types of drones, could substantially help with situational awareness, so that one might know where, you know, all the nuclear submarines a
10:26 / 11:36
from transcript10:26 – 11:36
Like, this is so shit. I I do think that it Yeah. I did see that. And look, I think robotics is another one that will take longer, but will be really interesting when it works. But by the way, I think even in that case, you'll need more task specific
56:57 / 58:29
from transcript56:57 – 58:29
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