In Good Company with Nicolai Tangen - Mala Gaonkar - SurgoCap Partners की Founder (Hindi version)

Episode Date: February 6, 2026

सच में बेहतरीन बिज़नेस को बाकी कंपनियों से अलग क्या बनाता है? हेज फंड SurgoCap Partners ��ी founder माला गांवकर, Nicolai Tangen के साथ बात करती हैं कि ऐसी कंपनियों को कैसे पहचाना जाए जिनके पास मजबूत और टिकाऊ फायदे हैं। वे समझाती हैं कि कैसे पुरानी टेक्नोलॉजी नए तरीकों से बाज़ार में उथल-पुथल मचाती है, क्यों वे अपनी इन्वेस्टमेंट टीम को जानबूझकर छोटा रखती हैं, और कैसे डेटा साइंस सोच की गलतियों को कम करने में मदद करता है। माला अपने इन्वेस्टमेंट के खुले अनुभव शेयर करती हैं—जैसे Nokia को शॉर्ट करने की गलती और NVIDIA को बेचने के बाद दोबारा न देखने का पछतावा। वे अपने करियर को क्रिएटिव राइटिंग और ग्लोबल हेल्थ में समाजसेवा के साथ बैलेंस करने की बात भी करती हैं। $6 बिलियन assets के साथ, SurgoCap यह साबित करता है कि फोकस और जिज्ञासा ही नतीजे लाते हैं।——Mala Gaonkar - Founder of SurgoCap Partners What separates truly great businesses from the rest? Mala Gaonkar, founder of hedge fund SurgoCap Partners, joins Nicolai Tangen to discuss identifying companies with durable competitive advantages. They cover how old technologies disrupt in new ways, why she keeps her investment team deliberately small, and how data science helps reduce cognitive biases. Mala shares candid investment lessons including the pitfalls of shorting Nokia and not revisiting NVIDIA after selling. She also reflects on balancing her career with creative writing and philanthropic work in global health. With $6 billion in assets under management, SurgoCap proves that focus and curiosity drive results. Hosted on Acast. See acast.com/privacy for more information.

Hi, everybody. I'm Nikolai Tengen, Norwegian Sovereign Wealth Fund's CEO. And today I'm quite much because I'm with Mala Gavkar. We've got a lot of the same from one point eight billion dollars and now he's $6 billion to come back. This is the first,

he had three years in Lone Pine Capital in founding partner to work which up-tacred from the most successful hedge funds from the end up. You're coming from here. Here, I came up to be very much. Thank you. You know,

You know, And this what's the work is? Yeah, Sergo Cap is the way can't do

that he who many investment firm are the this year, it's a market's risk with

market to market to make sure, risk is risk, not that volatility. And we

this has made this kind of that we're that the in the

world in the much business from very much business and we

have And we're a product, actually, our process is. A very transparent process, which in very factors to look at all. You actually, as well you've said, my seeked-whoed-whoed-saback, my many glitions and seeked-whoe subac of the people who I've been three years' business's

good people in Lone Pine in my poor staffed with invest and seeked. So, this is distillation to Sir Goulda. A great business to paychant-carned to make-carned many different factors are. But, my case

shan-dard business is that who has who have been long long time to go to moits are. And this is

our actual differentiation is the same. So, it's the way to come to work. How many great companies?

As I said, it's a lot is it's a lot. I'm not like, that's a lot we're just focus on, where I'm

like, that's age is a very very high-fackard so. So, now, now, the investing

of investing onupupup , we're a technology business is, So if you're an aerospace company or made tech business or financial data business,

so you're in your backbone in a technology company if you're in a big paymone and quality with deliver to deliver to you, then you have a tech business and I think that business's a tech stack map

to understand a thing is which we're a lot time bettap especially in non-tech business this is the first point. The second is how many technologies are in time in

different ways disruption lairre like if you look at auto industry who takes who tech industry to employing

that is a a technology which which in 1970 which is

this I'm much when we we've used that we're going to is one.

It's very interesting that the new technologies are new ways are disruptions and we're we're in non-tech businesses in these opportunities

do not even we're going to but when you you've set then you have put up you have some kind of

kind of some of there's a one is focus, so we decided I I'd say I I'd

keep to make a thing, one is focus so we're so I'm just I'm going to I'd want to be

that I'm team's shorty he's the same consistent advice and I'm many of the podcast on the podcast on

you're all right you're doing or chutey businesses' founder. Main part the main part the same

thing is not only a U.M. Yeah, one dollar to multiply billion dollars is easier

easy to be but a lot but you keep in working and collaborative cross-border thinking

environment to make sure that's creative ideas generate to make important is the

important was the How many small? We're a investment team which in data science team also we're in regular basis on the same table's all the table

so we're a proper roundtable discussion can't. You know, you've seen as Jeff Bezos, we talk about but we're

but we're just a pizza box-to- team size but we're gonna I'm... I'll say this per-person is a per-pitsa not a pizza-in-re-

We're things to we're the we're the most pizza-caning people are said we we're about we're about 11 kilo per person can't

Yeah, yeah. It's quite interesting. I've been not thought. But when you have a company do you're looking at least,

then you know, so, uh, you know, what's the answer? We're seeing, we're seeing, we're doing and as I'm saying,

and as a new technology, uh, new ways, how bad-lap, so it's a angle we're, we're a

, we're a same check-in- check-list, be I'll say, and you're, and you're, how you're, and you're,

how you're, how you're, as we're in the investment career in the start in the making we're

making sure that now we're now that's very much you're able to you're not you're not that's much

much much party data check can't which in which made and take adoption and take adoption and across

other data points of automated tracking which we we're in 90-the-dash- in the career

in the career in can't be in. How you you can't how you can't do you?

So, very specificly, if you if you're product adoption to track to track to do.

When we were in in 1998 in in Lone Pine in the early adoptions looking at least

Adobe products about when they were when they were they were a lot of a lot of a lot of

a lot of service would be a service is often to find to be tricky

would be quite tricky but but now now in these work we actually survey bots

use we can't we both we're we're augmented human surveyors and

other deeper dives we can't make we can't we're using we're used track and we're we've got to

say we've got to say that's a scale and scope not that's not that the product adoptions they can't get to know who can't

who can't and who can't so it's not. So this in take stack mapping, product adoption, customer adoption, and yet

even the common consumer adoption data there's many things share things share of which now

can't be so chacked can't be you? I think it's that it's small and

maybe they're small to need to be because human collaboration is the best that's

the good at the same important things that things that are the industries

borders across to like AI how may influence or how air or

space in whether it's how much it's I'm that I look at

the angles, uh, I'm so much it's just AI to see technology

in AI in AI in technology any of those some of the other, or some other things

that you are the most that's the , I'm the most the medical technology in the thing that's

that's not much much a lot of much than it's not to be a very special and roachic

other. If you you're a imaging space look, like MRI, CET, scan,

and PETT scan, so in medical image the satiquity, clarity and speed and

speed to be being, it's, it's the like 70% the rate rate from the just a lot of

years. It's a lot of a lot of the world of the ability of the ability to be very much very much more

much more than and this type of obviously it's a care more quality to make a so I'm that it's a

area is a area and it's a this is a pooran being how are being and you

know, and you know, I think that these bimaries to stop in the big part to stop to

a big part has a big area is that surgery how do you think that people

in the manufacturing sector in AI and robotics about about what

people people never can't be that the the

whole world there is there and they are and they are now

robotic surgery are very especially intuitive surgical like companies so I'm I think it's a

more big category where you're you're a real innovation is looking where you're where haptic feedback mapping

software and surgery and surgery kind of technology's combination such in some

can't go back to be making. Medical students for easy training and

all together a better mahal that this therapeutic elage can't can't be

can be made and as you know, health care costs to control on a big churts

and I'm umed I'm not that you need to be a lot of it's a so yeah

I think this idea that's how technology non-tech businesses intersect and how

we're using and how we can't use we're de-bias can't be able to be able to

is that we have we very interesting. Now, you're in a concentration in a when you're

you're going to you're quite a lot of so you're so, so let's you know, how do you

I'm I'm just I'm just these four verticals on the focus on which are

enterprise data like broadly tech, financial services health care services and industrial technologies

because I think it that are that are where emerging technology disruption that themes

are the same relevant and where where you can market leaders see who have very durable

modes who are incremental returns for work for you're in incremental return on the capital you can't

make the way, it's way, so we're so we're just in four areas focus on

and we're we're the thematic exposure about and we think that's a reason why it's a

reason, I think it's a offense gives you know, because some or some some kind of market

structure's passive nature of a little odd factory rotation can disrupt this portfolio can disrupt can't be. It's a time and we're in the

four sectors in all each in many of many different investment ideas where we're we're not going to we're just other name for

we have long-term thesis of and much more and you're back back to talk about so you're back so you

so you're how do you do you guys I'm a quality spice up to we're like businesses on those businesses on who has

modes are and who long duration take away. And we're we're in we're very de-biased

are the way and we're just my or team intuition on. Based not not the basic not really systematic

thinking on not that's the siloid thinking per. This is it's really very exciting because it's a

bigot-cutting thing is. And it's actually to actually is a really and I'm like it's a lot of

more back and Nicolai, you have to put a investment process student but you're You know, we both Kahneman, Twersky, and Thaler's

kind of love. I remember, that one of my papa had me a Bertrand Russell a great quote which was, manushy could do just he doesn't

want to think. And it's very simple. Like Kahneman System 1 and System 2 thinking about about about the system 1 thinking is intuitive gut feeling which is such in positive

it. It's insaniette to doze and fluid reactions to give me and it's bachhoo work hard to be but it's really to thinking,

which is very much difficult which is which is in really in and methodically and logically and logically

think to be I'm always this I'm always this thing and my team and our portfolio system to thinking so

here I'm here I'm here I'm one I'm a first I'm a master's thesis for that's right in the

fesslele in which actually in this about it so let's you, you you're when

you're when you you're using and when you're you're using? So you're your career

career during pattern recognition of your use in how much how much

I'm my pattern recognition in my pattern recognition in I think that the bad

badlaw is that now I'm not individual analytical viewpoints

but I'm about I think I'm and I'm maybe

I'm person or CEO or leadership or hero model to

the same in the same-samage context in the companies and businesses were doing he was a lot of time.

And this I've done done to be a hard-learning I've seen many failures did you know. My first

work in World Bank in junior analyst as Russia and Mongolia to work I'm going to this is a poignant example

I'm in I was a think that we're going to if we're if we're we'll be the government

bank branch to try it can't be stock market can't capitalism, liberal democracy everything,

everything's very would be the history of the end end of the what was a little

different from it's not, it's instead of many many many people and there's many

there's a lot of uphacy's uphous and all news headlines in all things

all things you're you're you're just just a not not over

and you can't and you umed not even like that people can't be the way

to think I'm not at a same thing that's you're going to see the same you're going to be able to be a lot of

there's a you know, you know, to be a microscope so you can't you're sort of

think that these businesses in the context in that's in how can't how we can't be

so that I'm so much I'm that I'm how much we're going to these specific failures

how can't right right right you're you can invests

can't you? Yeah. So then you're a lot of why you do you

think we're we're obviously know that private area and private areas and

we're we're not the public markets in the first any companies not but they're some

in some in some there's some time in some the other reason why the

other reason why it is a often the the most of the most of substs disruptive are not

bad-law core on but the other it's the not, this is my fundamental view is.

And the corner of the businesses, private companies, unsung founders who are that's

there's there's there's there's not, so much, not the globally in

these four shetroes. These four big industry which we're focus we're, it's our

responsibility is a private companies to back is a piece of just it just it's

it's a easy? You're how you like, you know, like, do you think, bang,

I'm going to this is a so, it's not, it's a long, it's a long-in-

process is a long incubation process so I'm so I'm and then and then and then and the

broader networks we have, I'm discussed, but then, but then, on the world is it is a field is about it. It's an obscure industry

trade show to go to do that automation new robotic systems feature can't where I'm a new idea may be able to. It could be a ongoing survey who we're

we're doing we're doing we're doing to see to bea what they're doing, what are doing, what are trying, who are doing and

who not doing. So, this isal in, I say, I'm going, it's a lotcure where from I'm the bests ideas

is the other than it's that I'm just the bad players talk to although it's obviously important so then you

you're going to what you're a little other thing. As you first you first, you know first,

system one and system two thinking about the was that that's a fine filter to gozger which is

overall investment checklist is I very I'm very I'm very I'm very I'm should be

we're we're going we're we've been before I've said that I'm We see that we have theses to track

to track-c-cred-a-trika-h and it's that we're in that's the reason why I think we're we're going to many colorful names of biases

are you like, like confirmation bias, availability bias, or sunk-cust bias. When I'm my many investment glotties,

then they're all these biases one or two or other of these kinds of this is a natural and it's in some

positive aspects but, but in investing to maybe maybe maybe I'm just like that we have a data point

which we have invests we're in unbiased way to join us to make a team and I

this is a track can't and make we're not nother end up so I'm this way to I'm a lot

time I'm going to make sure that we're not we're talking about we're talking about about about we're

but I also want to we're that we're so much so my time to think about this part but

what assumptions are made that's probably is going to which are wrong. Things are where are

going to be wrong, where market disruptions are such. And this is a thing I'm

there's a big thing. So I'm my team say, let's go more from Tomo's

more more than thoughtfully missing out this we're sure, we're we're doing,

we're we're doing, we're we're trying to make sure we're going to make sure sure But if not can't do it,

then we have to make sure to make sure that our circle of competence what is, but keep so I'm so I'm I'm going to

my ideas that too much the team as far as specific stocks you? How do you do they? Do you?

They're doing or they have a lot of and my team is good and I this chute's group with this group of the

stock-making and have a lot of the stock making and I'm in my collaborators to use I'm

such in a people who are the decision making process for the important are very important

and I'm a lot team support is a strong team need to I'm a coach and

mentor to look I think he a big driver is that I can I can't

make sure investment talent to act and they can't mentor can. So

someajdery to let me just to let's go to the red flags are, who you're going to do you? Yeah, so

my nazard in the first is compromise. If you're just valuation because you're going to

a business in a business in vesting or then you're you're saying, but you're

doing that other some other are you are you are you, so this a red flag

is. Investment decision to be much much emotional when. When I

it's ever I'm when I'm I'm, I'm quite a lot of upstahed so I'm this a red flag

mantey. We're just we're just we're doing that we're being used to be able to work and thought to just a lot of focus on.

And I'm like that he's the where bias subhavavoc root is, because we're human selfhavoc from the big and romantic

point to find out of this is we're weqas we're trying to we're trying to who who was a but we're just

I think it's that it's a world in fact it's a very difficult and it's very factors are that are really

and there's some things to and I'm do you know that's that I'm doing. This not I'm going to I'm going to

make the emotions to not easy. I'm not you know, I'm not you have a methodology and

process to be which it's you're to thinking may and such tools can't

which you and your team in this direction in to make a step-in' you know, as we we're not going to talk about the market's

that's the same narrative on the number's on. So you're not you need, and you're going to say, and that context the end of the end up

the end uprored and I think it's balanced to make it's a balanced-crued you're a long-term moit, a definitional quality to do you're up.

So, what kind of quality signs you're looking? So, when I'm moit to make a matter of a matter of money, I mean, it's a matter of high incremental RICs on work is,

because, after car, it's a business value that return per nearer to the incremental invested capital and that capital. And that capital you can't pay

they, on them, you're to payers, so you're going to drive-and, and then it's multiple types of but,

actually the best the things, if it's the best if it's just price is that I don't want to make it. But if you're price

bad to add future innovation, market growth, new geographies or new products to do you're so it's show. So, R.O.C.

could drive multiple levels is a big part. The other you can't how can't capital can't pay that.

Some businesses, especially best are the high incremental returns are. But in which they're going to get any

the capital amount to that's not there. That's the growth market is that they're kind of business and if they're there.

And if they're and we're today technology sector in the sector in the execution risk is a lot of so I'm look that we're

seeing we're that we're looking at a capital level of the result of the current the new business sales and size

to make, because it's this is execution risk has, which I'm much I'm much need to

need to be incremental return combination, the capital which you can make up in the return in the one

in a positive and other in the other in execution risk of negative things to manage to

how we we're all things about So, now, in the portfolio you have what you have

about about but you know, but a bestere investment of the you doggard did you, and who you

may be some things on up on. Yeah, I'll say that, uh, a,

uh, on the other part, we've been in these investment have, and this is

the business's bests' bad is, I'm the thing that's that's actually that is, that is the

chip stack with what is we're going to we're going to So you have TSM like business who are who are known-me-am-en-h who are actually

this cornered-one. This is Taiwan-Chi-Neh-Kornered in. Especially in process engineering in the whole thing. So it's in a thing about

about the but it's the way that's the systematic mode that's not a easy, where there's a small, an easy thing

not that's not that's only that's only the money is that's the process is the right

to the kind of can't be able to how to who are the business are which are the

type of dynamics have to I'm in I'm a I'm a real deal with there's a

little bit there's there's a lot of talking about about about but I'm

that's training is but influence is a real currency is a real kind of we're going to

work work and we're and they're especially LLM in B. Google's appenference

stack would be open AI Anthropic and other and I'm and I'm I think that it's

Google's TPU's what is the kind of thing, it's a lot of realchance. So, Essex or ASEC chips, application-specific

chips, which are the workload for design and which it's because it very long time to make the way to

and so we this type of theme on very much the theme of we've been talking about but I'm

I thought that go-to-market modes of combination and and long-to-mark process innovation and the world and the world-bher-

doctors and nurse practitioners of the group in the system in the actual it's executing are they're going to it's a lot of it's a lot of

it's a lot of area where big business such in uphering and been made sure. So chip stack layer that's what is there's probably these two big packets

and mad tech layer which is going to it's new, not. I think it's a other different category here where there's a new know that AI shabre than

it's a lot than it's a lot more disrupting are and it's the real-time data and data analytics in some

proprietary data provider have. I think it's really really shaned business is really shaned

business where they're they're they're both of workflow both are both

these three and they're a very basic innovation engine with often much modes made.

So they're kind of companies? So they're such business would for example financial

data data do you so so think you your portfolio for you for XX

Clarence or fixed income or equity market for all real time pricing

about I think it's real-time data which, like, any LLM for, it's ever to be much difficult because it's real-time nature are.

But it's trading and compliance-upas-to-as- the actual workflow embedded are, which are that's difficult so that's that people can't

be able to them can't be but I think it's a look to see or understand, me really look-mugged

much much difficult. When you you invests are, so you're how you're the time horizon how to how it? As a time for the

Zahir, shots are are different catalyst driven and they're often nine-mahean-a-combe catalyst period but on the long side, as I said, I'm saying, I'm just in the duration to look at least,

we're in factors' combination to look at least, which incremental return and capital go ahead-biddle. Which is on incremental return can lay-as-as-a-you-all from our valuation horizon to see three-five-sail-scycle in

but ideally, we're in this-a-buevers lookers. Yeah, so shorting to the long investing can't be

can't be a one of the one way? This is a very good question. Because it's a lot of

the last time, as well, it's the about it's about to think so, sometimes you can't

you can't that longs too-hut- -hut-hut- -h-er- -h-h- -h-h- I-h-

I'm- I'm-l I'm- and they're much-to-m and it's- often-the-of-a- I think that

it's the other you have to you have to they're when they're going to they're this

combination are you like clear price competitive pressure, clear share competitive pressure which are those pricing pressure and then they're

other factors together, like management by the management by the wrong execution, you have a quite a good

shot but you're but the problem is that those factors combination you for you for you're

a very time frame in front of a difficult work. And then it's all the factor rotation and the

current of the market's positive project to join which are quite the other funds do you're

you're going to you're doing which are you're doing you need to think about you need to do you?

We're short are. This is very stressful are. I'm just I'm just I'm just

because you because you you're both long time and when you are the so you're just in bursts

like it's and they're very longs You don't even till you're not. You're probably a week for you're not?

And then you're for the you're not? Yeah, but you still are the absolute profit dollar shots tauts.

Do you? Do you? What do you look that valuation is very mind-reacted we're not we're going to

stock-based comp, we're all the different ways and things are and things are very conservative way.

And it's the reason I that I've that I've I've said that I've said I've said that I'm thinking

I'm going to I'm going to risk-adjusted return to be And I think that you I think that valuation and you in the first how you're

it's a lot of and you're in the information as amount of important let's go and let's

and you and you're you mean you you've got it you've got you've some important things,

yeah, I think it's many things that I'm really I'm really good I'll say that I've the best best of the

one of the one of the first we've got to talk about I'm a very good idea of a very special talk about you

we're talking about we're short we're shorted we're going to one of the one Kno Kina was shot and I had

Nokia to shot did. This is this is interesting thing. So, I thought I was really I'm really

so I'm and then obviously in 2014 in Microsoft came and he he got to $7 billion in $7 billion

to buy. And that he was it was a very dardnark day and then after 18 months back Microsoft

made it's right off did it and it's you're not you're not and you're all you're

too much as you have said on the short side so you're so what all the

sook he is if you if you're a single business to think yeah you're

right you're very you're really you're you're you're

you're you're not really so you're so you're not so you're alone in only,

but it's a systematic way to think that's a lot of different different things

that's a thing that's that I'm that's not that's not not really not really and that's

one is, and Nokia the one is and another is balance sheet leverage

from like public LBO and I'm much difficult to see that I'm

maybe it maybe he's maybe he's maybe he's I'm I'm a business in invest

which I'm over leveraged they're very good business were over leveraged But as a result, when

much time and very macro tension I'd, then they'd to them to work to be able to work to be a lot of

a lot of there's got to like Alte's business in like the third I think that's most interesting AI chip stack

on our chat up as and how how can't technology new ways can't work out out

such is NVIDia. So, NVIDia is a pretty type of a GPU business to work

see, which he was that was. But then 2015 in we had we have deep reinforcement learning,

deep mind papers came. And it very interesting and exciting and you see how you did not really

how much how do you would be the GPU is the parallel computer machine learning to turn to

work to work to work to work. We didn't know. We didn't know that you have been

but you definitely saw that machine learning in early stage in what was later in

generative AI and it. And the The truth is that that time, video game for GPU to other, a big crypto component was the same gaming and crypto he had been in Vidaeco.

And I said, yeah, but this AI thing would, and it was a big thing. And they got, and they'd look, to, quite a lot of crypto in one-sacrash and in China, permit-mendery because gaming in gaming which business's video gaming

history of demand of the driver was, that time. So, I made it sell to it. which I didn't do it but the big bad thing is that's a but a big

guilty was a big thing that that's the back in VEDIA What you have come on the same. You know

back to buy it. Yeah, but I'm right in, this is a way in, this is a problem. And I'm like,

I'm like, because it's a important and interesting offer, when you're not, you're a lot of and you're often me the way to

it's a lot of, then it's a thing, it's a thing, and I'm a lot of things, other, financial leverage

about, saavhany beratning about, versus leverage the other driver which we're we're all happy

and the bias about we've got we've been we've been first talked which in the sunk

cost bias also I'm I'm going to you're some personal nature are you have,

I mean, I mean, I mean, you know, I mean, you know, you're a time in India

in India made, and you think, this multicultural background the world, and

investment to look to you're a lot of , I'm going to India in India in BAD

on, something that was with me had been brought and this all the same and I'm like it's a lot of that's a

which has been who's the way to give and I'm really much a lot of and I'm like it's

my family my partaddy in jail in because they're they're in Gandhi's against a jadey in aandoling

in and I'm and I'm like that's someajab and you're how you back back back

this, this vachachachachach being being someasawes more bansupto's more than a more bansbuthed up. Now,

this up this thing in the many times it was a lot of because there's a

local social and local dynamics were much and a much much rich literature

and and it's such a that's the that was much much bad that was and so I

think that I'm just I'm really this part of that I'm this thing for what it's going to

what it's what will you're you're you're going to you're you're a role model

and I'm I think that when you when you've launched to any the first big launch, the biggest big hedge fund launch, is not? This is a lot of

great thing. Investment in the world in a manh of being any way. I'll say, first, I'm first, I'm just

that this record very soon will be a and I'm sure. There, some really really talented men are.

I'm just I'm not, but I'm just a investment community and maybe maybe a philanthropic community to be a role model

will be my work and my and my my own and my kind of a important part is a very important

part is a business is a very much a business is a way you're any way that is a very meritocracy

business is that I think that I mean I I'm at a sign of high-mongal grhhh

but if I if I investment return then I'm then I'm therewasment out there's there will be

the law who my product chri'd want to be So I think it's a very meritocracy-wally industry and I'm just ummeded that's a sergo-jay-hage-hap-hrued and the platform you're running

they're in this industry in the industry for the value-jording to the way because I'm really think that it's a great place that's an endowmentally curious and all kinds of people, who are and upy-of-y-who-you-all-you-all-kind-a-kind-old-a-old-gut-a-old-gut-a-old good are

because you're a lot of different things in different things there's you're a lot of

you're a lot of a lot of a lot of you're how do you do you do you?

I'm like, uh... Uh... Uh... Uh... Uh... Uh...

I'm a lot of two main things are. I'm... two main things are one, the two main things kind of

you can't you can't talk about you. So, Philanthropy morchee, I had been very july shirwate

so I'm in the first year I'm back to do you and you're like I'm a investor to work to work and you

actually he's really good social entrepreneur and to support and he's that we're we're going to see that we're

so I'm really lucky that you met you're at that time you're in health to be starting to the time.

But they're they're a very good mentor and they and he's he's a lot of people who's hathiered bant

dacety just a It's better it's to beaughty women to cross-past to make, things to do it's not

and it's actually that's the and it's not to make, so much to do you need to do anything, for example,

in a gramean maternity clinic in, I've had other people, and I've seen and other's I've seen, who I've

worked with, and this same, the same, Gates Foundation in work were doing, and I'm Sergo Health

should be, and this This is the part of one dash of the same more than a far and our the idea of much had to how much

we're able to how we're better better and we're targeted data set with such in the data and data

and data not but behavioral data. So I'm think that AI in somebabil things of things of

one is one of AI in why join to AI in the question to help to help to help

that that will click can't click click can't but why and I'm and I'm

like this badee behavioral data to join which you can you can use a basic Bayesian networking math and use using to tell me that any way not going to do not. Or, why is community, XYZ, Garbh, Neroadhaq,

why not are not doing? It is a such that we're both time are having. And data to a public good to our and data science to a public good to look it, it's something that we're a lot of time to have. So this philanthropy effort is a big hyssa

and we help to help for Bill and Melinda Gates, Camp Foundation, and other ones as groups and local governments, with them with them with them and a different part, we've been in the maternal mortality for a lot of

so that's a country to target to get a lot of that's a lot of money, who's every year is a billion dollars and it's a

and then we're going to come and there's a mattern't really is a real problem. We're in US in the technique how can't do you

can't use how and then it's with an actual program should have Dara's with who has been who had you have you've got a

interview you have moms for rides to do it. Samosia maternity plan and it made sure to make sure to make sure not that

the men's really a real in a real thing should be interesting thing. This was transport was not that's a

so, why do you need to be so I'm here. But I'm think it's a important side

where technology and philanthropic both are. Creative work about really interesting about it is that I'm

really that we think we're the people's the best that we think we're whether we're whether we're whether it's

if they're creative work and so I this way I'm so I'm so you're in college from the same

from the little bit of you know, I'm not I'm not, I'm not, and I'm and we're

we're all different ways of many different things people of a group and then then you do you're

dinner are and we're and we're and we're and we're some of they're a there's a

lot of prediction So this narrative self and I how I see it's a between between there's a

versus social self and social context and so I think that conflict is a thing which I'm like to write and think about me

and it's actually amazing. Teller project about about about the yeah, so theater of the mind this is a

realoscience experiments of a series on a series I'm I'm what was what was

what was what we're in which we're talking about we're talking about Tverski's

work in Tverskii's for example. A game which is the dictator game where the game where the people who

can't be a people who can't they're all the they're all right and they're just and I'm sure I'm just in I'm going to go

and I'm going to want to go to the world's one of the world's one of the but I'm there's a new, it's there's a lot of

he's made he's a different context in a experiment about thinking about a sensory, pro pro preoception with the sameercepsion with and this is a

godiard's share in this work, this work in a Swedish lab Aerson Labs'n't and when we met to we thought, it's true, it's actually a

theater piece. This is a case. This is a kind of a other life is who a lot of life is living in these experimental

pathos with yeah, it's this is never very successful and now. And now it's Chicago's good man theater

in just, so he's really really much much it's really new and tazard the wayne and it make sure of it's a lot of

kind of a lot of sort of thought you're going to how you do you know, I think that all the idea back back to how it's all

just all the mind in narrative and actually context of the context about and this notack of allagic other characters

how powerful and they're all together and they all right and they're all this is a full systemic process about about

I'm thinking it it's all common point is. Two is curiosity. I think in these

every time in every time in the same need to help to help or some bad investment to do not and

it's just how much to make a great, creative work work. I think that second is

unhhhh . Lickna Vinnamrata is a exercise is. Mere Baking other come

other can without, it's really can't make a more short story or not. Dunya in

any other many. there's I think it's a good chakr because if you're from from the first from curious and humble you're looking at least you're more than what is

it's more than what is how much is the but you're you're not even you're just a so I'm just a chakr is a good chakr in the first wheel

to get to and I'm like that it's a lot more more amazing more than what is how is what is? You're when up?

I'm every day I'm like 6'bages up at least up at I'm a lot of I'm a lot of I'm a lot of I'm just just thinking

time bittal and then I'm just sometimes I'm sometimes I'm sometimes I'm know, I'm need to be able to

work just you're doing, usually walk and you're going to work, uh, gohmed away. Do you?

Do you? Or just cuth, you're just cuth and things are looking right? No, my day

other parts of I'm my past I'm a lot stuff had so I'm just my time I'm just

I'm I'm going to I'm going to I love I love with my friends, my family, I'm going to

go to the long hike on so they're a lot of people who are people who are disconnected to be able to

and friends and friends and to be able to use to be fantastic uh quare, you back to

I'm a lot I'm a curious, humble and an incredible professional and you're very much

thank you so much thank you thank you Nikolai thank you thank you