WEBVTT 00:00:00.080 --> 00:00:05.357 the very very best in the world are the brain structure is different and one of 00:00:05.440 --> 00:00:08.557 the things that our institutions underestimate 00:00:08.640 --> 00:00:11.197 but we're we have an advantage in America because we have this tech scene 00:00:11.280 --> 00:00:16.077 is the people think that there's like you know they're with a standard 00:00:16.160 --> 00:00:19.997 deviation of the best if you're the second best but it's not it's just a 00:00:20.080 --> 00:00:23.357 different universe it's not true and you see this in software and building 00:00:23.440 --> 00:00:29.760 software products the very best in the world the people who built PG 00:00:29.920 --> 00:00:32.477 uh the the brain structure the way of 00:00:32.560 --> 00:00:34.957 solving problems it is not at all 00:00:35.040 --> 00:00:39.277 similar to how 00:00:39.360 --> 00:00:43.037 uh you know um if you I don't want to 00:00:43.120 --> 00:00:48.397 mention their last names because I think one of them is pro happily not famous 00:00:48.480 --> 00:00:50.717 but uh >> I think my picture comes out for him 00:00:50.800 --> 00:00:52.317 when he search online 00:00:52.400 --> 00:00:57.037 >> uh on PG with Bob 00:00:57.120 --> 00:01:00.957 they're very few people who could could have pulled that off and I don't and I 00:01:01.040 --> 00:01:04.957 think convers and and I would say if you took Ryan and Bob and put them in 00:01:05.040 --> 00:01:08.877 academic context I don't think Bob Mcgru minds I'll leave Ryan's last name out 00:01:08.960 --> 00:01:11.037 but they would have they would do very very well. 00:01:11.120 --> 00:01:12.477 >> Yeah. Well Bob obviously went on to open 00:01:12.560 --> 00:01:15.597 AI to do very important work there. It's an interesting point about about talent 00:01:15.680 --> 00:01:19.597 that I think you you you you framed in a way was very helpful to think about that 00:01:19.680 --> 00:01:22.157 you actually have to be within a couple standard deviations to even appreciate 00:01:22.240 --> 00:01:25.277 this. And so I think a big problem with a lot of our institutions for example 00:01:25.360 --> 00:01:28.237 around the Pentagon is if you have people who are only you know one 00:01:28.320 --> 00:01:31.037 standard deviation above they can't even tell a difference between four and five 00:01:31.120 --> 00:01:33.517 they have no idea what's even going on at those levels. So you need people who 00:01:33.600 --> 00:01:36.477 are good enough to even appreciate that >> we have a huge advantage and let's just 00:01:36.560 --> 00:01:39.117 take US commercial. This is a really 00:01:39.200 --> 00:01:42.237 true thing and really not understood. Um 00:01:42.320 --> 00:01:46.477 that to appreciate talent you need to be within 00:01:46.560 --> 00:01:48.157 standard deviation of that talent. 00:01:48.240 --> 00:01:51.517 Unless you have some specialized 00:01:51.600 --> 00:01:55.517 weird this is where for whatever reason I think I have some kind of weird 00:01:55.600 --> 00:01:59.197 ability where you know I have picked some of the best and managed some of the 00:01:59.280 --> 00:02:02.237 best engineers in the world consistently. 00:02:02.320 --> 00:02:05.037 larger institutions struggle in some 00:02:05.120 --> 00:02:10.397 cases because they think they can't they can't tell the difference between 00:02:10.480 --> 00:02:13.517 >> well I I think it's almost like those cultures reject these people who are 00:02:13.600 --> 00:02:16.797 extremely good right >> but that's and that's but but but but 00:02:16.880 --> 00:02:18.957 again to your American optimism thing 00:02:19.040 --> 00:02:21.677 which I share and we have a culture that 00:02:21.760 --> 00:02:24.877 nurtures them allows them to be managed 00:02:24.960 --> 00:02:28.077 provides capital teaches them like you 00:02:28.160 --> 00:02:32.637 know one of the things I think people get wrong is you don't learn to win by 00:02:32.720 --> 00:02:36.157 failing. You learn to win by working with people who have ups and downs and 00:02:36.240 --> 00:02:37.997 then win. So there's like a deep 00:02:38.080 --> 00:02:40.877 understanding whether they work with you 00:02:40.960 --> 00:02:44.237 at HVC or they work with others, some of 00:02:44.320 --> 00:02:49.117 whom I like and some of whom I don't, but they're they you you do learn what 00:02:49.200 --> 00:02:53.197 it means to build business. And in the American commercial context, uh 00:02:53.280 --> 00:02:55.357 especially, you have this high turnover. 00:02:55.440 --> 00:02:58.317 though it's it's like people really do 00:02:58.400 --> 00:02:59.997 the people running these institutions on 00:03:00.080 --> 00:03:05.517 the tech side like it 5 years ago CIOS didn't buy our product now they do 00:03:05.600 --> 00:03:09.437 because it's like there's this like plasticity of of learning in the US 00:03:09.520 --> 00:03:13.757 which is something that I think other countries struggle with that it is true 00:03:13.840 --> 00:03:15.677 that 00:03:15.760 --> 00:03:18.717 identifying the difference between um 00:03:18.800 --> 00:03:23.757 you know Bob and Ryan and any very strong normal engineer is something that 00:03:23.840 --> 00:03:27.437 takes specialized quite Frankly, I think it's very similar to music. Very few 00:03:27.520 --> 00:03:29.997 people can hear the blue note. Almost no 00:03:30.080 --> 00:03:35.037 one can play it. To be what we do in tech is we hear the blue blue note on 00:03:35.120 --> 00:03:39.037 the tech talent side >> which very few people it's like you roll 00:03:39.120 --> 00:03:43.997 three crazy people into a room >> and a very talented normal person will 00:03:44.080 --> 00:03:47.997 pick the one person who's moderately talented. Whereas if you roll those 00:03:48.080 --> 00:03:50.637 three people into Palier or to your VC 00:03:50.720 --> 00:03:53.757 will be like no we want that one. And 00:03:53.840 --> 00:03:57.757 that's crazy. Then you have to be able to manage that person. 00:03:57.840 --> 00:04:00.957 >> That's also >> basically that's like my my karma to 00:04:01.040 --> 00:04:03.357 have to manage these people now after you had to deal with with us when we 00:04:03.440 --> 00:04:06.077 were kids. So [laughter] that's how we're doing it. 00:04:06.160 --> 00:04:07.597 >> I have a lot of stories about our times 00:04:07.680 --> 00:04:14.120 together, but those our times together are some of the best of my life.