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20 results for “ai revolution”
Concept8 mentions across episodes
AI revolution
Topic7 mentions across episodes
AI revolution
stay functional and keep delivering value? I think the end goal is for us to to disappear and for the the the AI products and the AI platforms to be fully usable by the business users. Today, this is not the case. Today, this is still too complex. An
18:44 / 19:49
from transcript18:44 – 19:49
It is obviously amazing, and, you know, there's things that, of course, have been created in the last decade that previously were unimaginable amongst any of the experts. And one of the things I find really funny about the exploration of transformers
22:26 / 23:54
from transcript22:26 – 23:54
You need the models adapted to you. And then you actually need a new model for how the workforce is gonna function because you have agents and humans, and there's a massive change management exercise. So a lot of our partnership has been about sort o
15:51 / 16:51
from transcript15:51 – 16:51
Chow GPG has got eight or 900,000,000 retiatic users. And if you're the kind of person who is using this for hours every day, ask yourself why five times more people look at it, get it, know what it is, have an account, know how to use it, and can't
0:01 / 1:01
from transcript0:01 – 1:01
...at the AI revolution is how do we apply scale compute to learning systems? And the thought that we just happen to have the first kind of scale, you know, kind of probabilistic model with transformers and with, you know, kind of large language models
21:45 / 22:50
from transcript21:45 – 22:50
creates abundance in that regard, which uses AI. So you have direct access agentically to all kinds of health care services, take care of yourself, and then be able to then be routed whether you need a surgery or you need to have cancer therapy or me
16:23 / 17:38
from transcript16:23 – 17:38
I chatted with the head of IT recently who told me for the first time in his two decade long career, he believed that IT support was fundamentally gonna change. If all of us want this software to be doing work for us, ideally, it's doing work with at
0:01 / 1:03
from transcript0:01 – 1:03
On Masters of Scale, we talk a lot about inflection points, those moments when a technology stops being optional and starts being fundamental. AI presents one of those moments, and behind every breakthrough, whether it's medical research or education
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from transcript0:01 – 1:00
how you can incorporate AI into your product natively, and not just attach a chatbot app into your existing workflow, but reimagine what it can mean with AI and be aggressive about disrupting yourself and changing. And then on the back end, I shared
7:27 / 8:33
from transcript7:27 – 8:33
...industrial revolution. You need to be using it right now. Mhmm. And, Josh, you back that up by saying that 10% of AI is actually understanding the tools, but 90% of it is the mindset shift. Yep. Tell us about that. Yeah. I mean, the tools are actuall
5:12 / 6:19
from transcript5:12 – 6:19
Are we building towards the biggest economic boom in human history or the fastest collapse? Right now, AI labs are burning billions on compute. Anthropic just built a data center that uses as much power as Indiana state capital and Microsoft's planni
2:15 / 3:25
from transcript2:15 – 3:25
actually, if you look at the function of an army, at some point, it moves into people in the field make the decisions. And so you have to have the training, the strategy, recruiting to do that, and then you have to empower your teams to work. And I t
1:09:32 / 1:10:49
from transcript1:09:32 – 1:10:49
where you consistently, I wish people would change the way they think about it? Look, I I think the biggest one is just the view that when I first started this job, the main pushback I always got was that synthetic data will take over, and you just w
49:24 / 50:37
from transcript49:24 – 50:37
AGI seems to be a bit a little bit like this. Like, either it's already here and it's just more software or it's five years away and will always be five years away. We don't know the physical limits of this technology and so we don't know how much be
0:31 / 1:48
from transcript0:31 – 1:48
than simply understanding whether or not those unknowables really prevent you from executing. Alongside all this geopolitical activity, there is also the technological shifts that we're experiencing. You made a a bold move last year where you merged
6:01 / 7:01
from transcript6:01 – 7:01
Number two, from there, they start to say, okay. How can I take a process that already exists and apply AI to making it better? That might be, something like customer support or taking fraud down from fifteen days to kinda cure to to ten days. And, l
10:13 / 11:33
from transcript10:13 – 11:33
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
for when intelligence stops being individual and becomes collective. AGI won't arrive as one supermodel. It will arrive as thousands of specialized agents talking to each other, hiring humans when needed, executing goals continuously. At that point,
3:00 / 4:04
from transcript3:00 – 4:04
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