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19 results for “compute”
“Lots of people think of valuation either as a financial calculation. So you put in your financials and it outputs a number magically that is the perfect value for your company. Or they think of it as a market driven process where it's investors bidding against each other and if you're a more popular company, the valuation will raise higher.”
Lots of people think of valuation either as a financial calculation. So you put in your financials and it outputs a number magically that is the perfect value for your company. Or they think of it as
5:30 / 5:50
Practical Framework5:30 – 5:50
...or computers or any of these things, the way that you would actually do computing, the way that you would do calculating, like, the way that an insurance company would calculate actuarial tables or the military would, like, calculate, you know, I don
42:45 / 43:53
from transcript42:45 – 43:53
G Shock is a great watch. That's a great watch. No. I'm talking about him with a calculator watch. I actually I had that. It was I remember it was $50. It was a really big deal to It was $54 and it was worth it. You played a game where you started to
1:35:59 / 1:37:01
from transcript1:35:59 – 1:37:01
...or computers or any of these things, the way that you would actually do computing, the way that you would do calculating, like, the way that an insurance company would calculate actuarial tables or the military would, like, calculate, you know, I don
39:41 / 40:49
from transcript39:41 – 40:49
...or computers or any of these things, the way that you would actually do computing, the way that you would do calculating, like, the way that an insurance company would calculate actuarial tables or the military would, like, calculate, you know, I don
41:56 / 43:31
from transcript41:56 – 43:31
“How DraftKings CEO keeps 5,600 employees thinking like scrappy entrepreneurs”
Okay. So to your point about turning these moments into real opportunities, when you're 5,600 people and you don't have time to play in as many fantasy leagues as you or I would want to because of all
23:56 / 24:43
tactical advice23:56 – 24:43
...So the first computers were programmed with ones and zeros. And so the task of the programmer became do the ones and zeros, and then that became punch cards. And you can still you know, there's still people, you know, kicking, you know, today who, yo
40:19 / 41:49
from transcript40:19 – 41:49
What are you encouraging them to learn, that you think might is different maybe from previous generations to help them be successful in a world of AI abundance? I don't know if I'm teaching them differently, but I'm really trying to encourage them to
45:43 / 46:47
from transcript45:43 – 46:47
...computer science because like even if you're not gonna be a developer and then you're probably not gonna be a developer, but just having the basis to understand like how that's done, it's gonna be extremely helpful.
44:58 / 46:09
from transcript44:58 – 46:09
...of computers as well. You know, the first microprocessors weren't considered revolutionary. Intel didn't consider the 4,004 revolutionary. They considered it evolutionary. The the engineers have said this, and it wasn't revolutionary until people put
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from transcript13:13 – 14:49
...computers. I'd like to have my own, but obviously
14:09 / 15:16
from transcript14:09 – 15:16
when you allow to calculate an exam, you need to make sure that none of the questions, you know, benefit people for having a calculator or not. And which actually forces you to sort of rethink the problems to test calculus knowledge that don't benefi
46:29 / 47:30
from transcript46:29 – 47:30
And it this is a simple thing, by the way. You could do we could do the math at the whiteboard and, like, figure this out in thirty seconds. But this but the industry doesn't have It is totally broken down. Big parts of our industry. They can't calcu
26:10 / 27:15
from transcript26:10 – 27:15
And so, you know, if you calculate the some parameters based on the position of the eye and the position of the surface, point you're at automatically seeing, then you calculate exactly how much fog you can accumulate from that. Of course, you can't
1:24:00 / 1:25:07
from transcript1:24:00 – 1:25:07
can I contribute to that in any way? Is there anything that I can do that helps with that? And my discipline is sort of business strategy, and so there's a real question about, is there anything useful that business strategy can add to that sort of c
6:39 / 7:45
from transcript6:39 – 7:45
The Lumen lighting system that's powering the scene is doing different kinds of lighting calculations at different scales. This was the work of, Daniel Wright, following a decade of moving the state of the art of lighting forward. But his his theory,
1:35:59 / 1:37:08
from transcript1:35:59 – 1:37:08
...is you think about three things. Right? How fast you can do a calculation. Yep. Where you can store the result. Mhmm. Alright. Memory. Memory. And how fast you can get the result to somebody who wants to use it. Transport. Not transport. These are th
1:01:25 / 1:02:35
from transcript1:01:25 – 1:02:35
...smart computer, like, in the nineteen nineties. Never went on to to great things, but it did everything. It was like, you know, you could run these applications. And Jerry's trying to explain it to his dad, and he's like, well, I I don't get it. What
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from transcript55:22 – 56:30
And the the the SC superhuman code, or I think the the the presumption there is it goes to zero, the number of humans in the loop. What does that world look like when the number of humans in the loop is in the hundreds, not in the hundreds of thousan
3:20:56 / 3:22:21
from transcript3:20:56 – 3:22:21
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