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18 results for “scaling innovation”
Concept2 mentions across episodes
innovation
...part of scaling laws and that's part of reasoning and that's part of all these things that have, you know, all the post training stuff that's been rolled out. So, there's just been so much innovation in such a compressed period of time that that's th
38:13 / 39:16
from transcript38:13 – 39:16
predicting your next edit and saving you some time. And we want to serve both of those demographics. And so I think to pick a single acceleration factor is difficult because it depends where you were previously. And I think compared to many other com
25:32 / 26:37
from transcript25:32 – 26:37
There's, like, a bunch of subspaces that are totally different that all require their own strategy. So for example, the language models are very different than the diffusion models. The apps are very different than the models themselves. The tooling
2:57 / 4:04
from transcript2:57 – 4:04
...innovation, how you groove the whole company to think creatively is a big challenge. This gets to the heart of why those stereotypes about startup versus established company are so wrong. It's easy to assume that innovation is second nature to the sm
31:29 / 32:32
from transcript31:29 – 32:32
you can use that as a way to get into the market. Once you've found a wedge and made that single wedge much better with AI, one of the really important things is that you have to keep shipping useful features to your customers to actually be able to
17:37 / 19:02
from transcript17:37 – 19:02
...scaling laws being achieved and we're breaching a period of plateauing, so to speak, in terms of progression? I don't think that models are plateauing. Like, if we look at the last twelve months of progress in models, I've been blown away. To his poi
14:13 / 15:17
from transcript14:13 – 15:17
Give us a little bit of a history lesson before we dive into the future. So what would have been considered innovative, like, a decade ago, do you think? Oh, boy. That's a we're still trying to implement things like a Salesforce CRM that might have b
1:30 / 2:30
from transcript1:30 – 2:30
...much innovation in such a compressed period of time that that's the reason things are turning over and things that normally would have taken a decade are happening in a year or two. And that's why we're seeing these displacement or potential for disp
38:59 / 40:02
from transcript38:59 – 40:02
...model and scaling up the biggest thing. It should be about trying wacky ideas and new ideas and crazy ideas, most of which won't work. And I think there's a lot to be done there. And if anything, I'm worried that too many people in academia are hyper
9:42 / 10:46
from transcript9:42 – 10:46
That's our hypothesis is that satellite imagery is gonna be an important part of that. We're just starting the conversation through our budget process this year and talking to our local university about how to put together some kind of pilot or partn
12:44 / 14:01
from transcript12:44 – 14:01
It's 10 x step up in market size because the applications are 10 x step up in market potential. Right? Because they are replacing labor, they're replacing Yeah. I mean, they are GDP enhancing. Whereas previous generations, while there were tremendous
35:58 / 37:01
from transcript35:58 – 37:01
This is fundamentally, philosophically, to me, a different problem. The previous decade had mostly been about understanding data that already exists. But the next decade was going to be about understanding new data. Visual spatial intelligence is so
0:01 / 1:03
from transcript0:01 – 1:03
It's because I think the arc of intelligence has to go to what Justin calls affordances. And the arc of intelligence, if you look at evolution, right, the arc of intelligence eventually enables animals and humans, especially human as an intelligent a
29:14 / 30:20
from transcript29:14 – 30:20
...tools, and scaling them through our product and tech functions in our portfolio. Mhmm. I could then make the same comments for customer support, marketing, and a number of other areas, but these are all sort of let's call it bottom half of the P and
15:01 / 16:04
from transcript15:01 – 16:04
within AI where you are seeing unique opportunities today, either in sourcing transactions or underwriting or once you own something, getting getting that value that we were talking about. But where do you see some of the more exciting areas where AI
12:46 / 14:00
from transcript12:46 – 14:00
The next generation of infrastructure doesn't just add AI. They unify the data from legacy cores, from external systems, from unstructured data into a new system of record, enabling FIs not only to scale, but to take full advantage of AI. When this h
6:43 / 7:48
from transcript6:43 – 7:48
Yeah. I mean the dual net was created on a gaming chip. Yeah. Yeah. That's right. Yeah. And today now you've got AI factories. And like you said earlier in the talk, the bottlenecks are progressively moving every way. So I think fundamentally every l
35:16 / 36:25
from transcript35:16 – 36:25
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