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17 results for “ai rollup”
“Why AI-rollups must force standardization to succeed where traditional buy-and-build fails”
fit your product? That's amazing question. That's exactly the latter. And I think that's exactly where the difference between your typical kind of buy and build and what we're doing is coming up. Bec
22:29 / 23:04
contrarian take22:29 – 23:04
“How data reveals the optimal operational processes by ditching industry best practices”
the selection of the best practices of operational processes across The UK with not just selecting the best one of the variety, but also quite often selecting none of the existing and reviewing all of
23:40 / 24:15
framework23:40 – 24:15
So Charles Rolllet, that's r o l l e t one. That's my handle on x. Ah, okay. So so there's another Charles Rolllet out there. Yeah. There's an imposter. Actually, Charles Rolllet is not an uncommon name in French. There's a bunch of us. So make sure
20:59 / 21:36
from transcript20:59 – 21:36
Rippling handles all the can't get it wrong admin work of payroll and benefits, giving you back hours every week. But it does a lot more than that. Rippling is a game changer for the entire company, with tools for HR, IT, and spend, all built from th
3:44 / 4:46
from transcript3:44 – 4:46
It's called Ramp, and we use it here at launch. My COO, Heidi, our chief operating officer, loves it because Ramp gives you visibility into your company software usage. And this is going to help you trim your subscription costs, and it allows you to
29:58 / 31:04
from transcript29:58 – 31:04
Fast, flexible, and powerful. No. It's not a sports car. It's a CRM system, baby. It is Attio and it takes less than a minute. Sync your email, your calendar, and you'll instantly get all your relationships enriched in real time with incredible data.
1:25:19 / 1:26:31
from transcript1:25:19 – 1:26:31
Join over 37,000 companies already using Plio to streamline their finances. Try Plio today. It's like magic but with fewer rabbits. Find out more at plio.io/20vc. And don't forget to revolutionize how your team works together. Roam, a company of tomo
2:58 / 4:02
from transcript2:58 – 4:02
Attio is the next generation of CRM built for the AI era. Fast, flexible, and powerful. No, it's not a sports car. It's a CRM system, baby. It is Attio and it takes less than a minute. Sync your email, your calendar, and you'll instantly get all your
2:14 / 3:18
from transcript2:14 – 3:18
So you can't make a lot of changes because regulations. When I talk to portfolio founders about what's slowing them down, they always vent to me about project management. Juggling hundreds of different projects is hard. If you're shipping a product o
20:14 / 21:15
from transcript20:14 – 21:15
I provided Alex, so you have deal, with a lot of Rippling confidential information including Rippling's product roadmap which indicated where Rippling was currently providing services and where it sought to expand. I also passed on the deal quote bat
0:00 / 1:03
from transcript0:00 – 1:03
So if you think about ABBYY and, we can't we our company is called Abacus, but, you know, some of our first clients, they kept referring to Abacus as ABBYY. And so we sort of adopted that name ABBYY. So we call it ABBYY assist. Alright. If you're shi
9:44 / 10:50
from transcript9:44 – 10:50
...rollups and automate those. Getting them to understand what agents are sometimes can be, you know, an obstacle course, but those things are happening. Right? People see them as opportunities. Coming up, Mark answers some of your questions, and we div
17:16 / 18:02
from transcript17:16 – 18:02
a novel. I'm sure people are already working on this, is essentially the model can control when it compacts and how. So you can essentially, like, train your RL algorithm where compaction is an action Mhmm. Where it shortens the history. And then the
3:02:54 / 3:04:00
from transcript3:02:54 – 3:04:00
Forget all of that. Just people that don't know anything about AI, they show up. Like, what's the actual experience? What's the use case for each one when they actually, like, type and talk to it? What what is each good at and that kinda thing? So le
29:15 / 30:22
from transcript29:15 – 30:22
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
And it's like, that is the thing that a Chinese company with mediumly strong export controls, there will always be loopholes, might not be able to do at all. And if that the main result for o three is also a spectacular coding performance and if that
1:17:13 / 1:18:16
from transcript1:17:13 – 1:18:16
I mean, I think there's always this thought of that, like, you know, the models will have near infinite context windows, and you can just give them everything, and they can figure things out automatically. But I don't I don't think, you know, like, w
8:59 / 10:05
from transcript8:59 – 10:05
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