Palantir Founder: How to Reach the Top 1%
By Joe Lonsdale
Summary
## Key takeaways - **Top talent has different brain structure**: The very very best in the world are the brain structure is different... it's just a different universe it's not true and you see this in software and building software products the very best in the world the people who built PG uh the the brain structure the way of solving problems it is not at all similar. [00:00], [00:23] - **Only near-elites spot elite talent**: To appreciate talent you need to be within standard deviation of that talent... you actually have to be within a couple standard deviations to even appreciate this... people who are only you know one standard deviation above they can't even tell a difference between four and five. [01:14], [01:42] - **US tech culture nurtures top performers**: We have a culture that nurtures them allows them to be managed provides capital... you don't learn to win by failing. You learn to win by working with people who have ups and downs and then win... there's this plasticity of of learning in the US which is something that I think other countries struggle with. [02:21], [03:06] - **Elite talent spotting like hearing blue note**: Identifying the difference between um you know Bob and Ryan and any very strong normal engineer is something that takes specialized... it's very similar to music. Very few people can hear the blue note. Almost no one can play it. To be what we do in tech is we hear the blue note on the tech talent side. [03:15], [03:30] - **Managing crazily talented requires skill**: If you roll those three crazy people into a room and a very talented normal person will pick the one person who's moderately talented. Whereas if you roll those three people into Palantir or to your VC will be like no we want that one. And then you have to be able to manage that person. [03:40], [03:53]
Topics Covered
- Elite talent has different brain structure
- Mediocrity blinds to true genius
- US tech culture nurtures elite winners
- Spotting tech blue notes like music
Full Transcript
the very very best in the world are the brain structure is different and one of the things that our institutions underestimate but we're we have an advantage in America because we have this tech scene
is the people think that there's like you know they're with a standard deviation of the best if you're the second best but it's not it's just a different universe it's not true and you see this in software and building
software products the very best in the world the people who built PG uh the the brain structure the way of solving problems it is not at all
similar to how uh you know um if you I don't want to mention their last names because I think one of them is pro happily not famous
but uh >> I think my picture comes out for him when he search online >> uh on PG with Bob they're very few people who could could
have pulled that off and I don't and I think convers and and I would say if you took Ryan and Bob and put them in academic context I don't think Bob Mcgru minds I'll leave Ryan's last name out but they would have they would do very very well.
>> Yeah. Well Bob obviously went on to open AI to do very important work there. It's
an interesting point about about talent that I think you you you you framed in a way was very helpful to think about that you actually have to be within a couple standard deviations to even appreciate this. And so I think a big problem with
this. And so I think a big problem with a lot of our institutions for example around the Pentagon is if you have people who are only you know one standard deviation above they can't even tell a difference between four and five they have no idea what's even going on at those levels. So you need people who
are good enough to even appreciate that >> we have a huge advantage and let's just take US commercial. This is a really true thing and really not understood. Um
that to appreciate talent you need to be within standard deviation of that talent.
Unless you have some specialized weird this is where for whatever reason I think I have some kind of weird ability where you know I have picked some of the best and managed some of the best engineers in the world
consistently.
larger institutions struggle in some cases because they think they can't they can't tell the difference between >> well I I think it's almost like those cultures reject these people who are
extremely good right >> but that's and that's but but but but again to your American optimism thing which I share and we have a culture that
nurtures them allows them to be managed provides capital teaches them like you know one of the things I think people get wrong is you don't learn to win by failing. You learn to win by working
failing. You learn to win by working with people who have ups and downs and then win. So there's like a deep
then win. So there's like a deep understanding whether they work with you at HVC or they work with others, some of whom I like and some of whom I don't,
but they're they you you do learn what it means to build business. And in the American commercial context, uh especially, you have this high turnover.
though it's it's like people really do the people running these institutions on the tech side like it 5 years ago CIOS didn't buy our product now they do because it's like there's this like
plasticity of of learning in the US which is something that I think other countries struggle with that it is true that
identifying the difference between um you know Bob and Ryan and any very strong normal engineer is something that takes specialized quite Frankly, I think it's very similar to music. Very few
people can hear the blue note. Almost no
one can play it. To be what we do in tech is we hear the blue blue note on the tech talent side >> which very few people it's like you roll three crazy people into a room
>> and a very talented normal person will pick the one person who's moderately talented. Whereas if you roll those
talented. Whereas if you roll those three people into Palier or to your VC will be like no we want that one. And
that's crazy. Then you have to be able to manage that person.
>> That's also >> basically that's like my my karma to have to manage these people now after you had to deal with with us when we were kids. So [laughter]
were kids. So [laughter] that's how we're doing it.
>> I have a lot of stories about our times together, but those our times together are some of the best of my life.
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