# Qualities of Great Leaders l GaryVee Audio Experience

## Метаданные

- **Канал:** Gary Vaynerchuk
- **YouTube:** https://www.youtube.com/watch?v=4xvO8v9TYeI
- **Дата:** 26.06.2023
- **Длительность:** 34:37
- **Просмотры:** 12,180
- **Источник:** https://ekstraktznaniy.ru/video/17106

## Описание

Today's guest of the GaryVee Audio Experience is Anthony Tassone, Co-founder and CEO of Truleo, a body camera analytics platform developed in partnership with the FBI National Academy alumni. 

We discuss his story and the power of analytics and how it shapes our day-to-day lives. We talk about qualities leaders should possess and what we think the future of the blockchain looks like. I’m very excited about this episode and hope you will enjoy it as much as I enjoyed the conversation- let me know what you thought!

Learn More About Truleo:
Facebook: https://www.facebook.com/TruleoCo/
Instagram: https://www.instagram.com/truleo_police/
Twitter: https://twitter.com/truleo_police
Reddit: https://www.reddit.com/r/Truleo/
LinkedIn: https://www.linkedin.com/company/truleo-for-audio-analytics/
YouTube: https://www.youtube.com/@truleo
TikTok: https://www.tiktok.com/@truleo.co
—
Thanks for watching!

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Check out another series on my channel:
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## Транскрипт

### Segment 1 (00:00 - 05:00) []

if you're a operator you can operate around new truths sometimes that's the consumer Behavior sometimes that's a political organization but the reality is you do have a lot of control including things like you know there's a global audience like you can leave where you live if you're in Sweden right now and you're like man if you it's harder to build a huge company in Sweden in Tech I'm like move to San Francisco could and so I really do love the happiness that comes along with accountability vaynernation how are you very excited about this podcast uh I always like when I'm starting new pillars new genres new Concepts this concept of interesting emerging entrepreneurial stories is something I've been bouncing around and I met this young gentleman uh in Utah right absolutely yeah Salt Lake um and uh we apt we got some stuff brewing and it really just kind of sat with me for a while because I think that was in February um about like oh I should have him on the podcast he'd be a great kickoff for this thing that I want to do so first because I know a lot of you have uh really cool interesting backstories and have emerging entrepreneurial Ventures I'm excited to have many of you in the future years in this hot seat to tell your story um obviously on this podcast a lot of times we get to see the finished product you know we get a lot of cool people writing their book of their whole career or you know or at the top of their game but I really want to start putting out content because I think it's going to really matter to my audience this audience about individuals that I see have the potential to be the type of people that in 20 years have books about their life story or their career but we catch them in the beginning of it or in the middle of it or the early middle of it and so that's what today represents I'm excited about this conversation and I'd love to get feedback from all of you on Twitter or email or DM me on what you think about this genre so kicking off our first episode in this concept of interesting emerging entrepreneurial stories my friend why don't you tell everybody your name what you do and we'll go into it and thank you for being the kickoff first guest to this concert sure thanks Gary thanks for the opportunity to talk about my story my name is Anthony to Sony you can call me a t I'm the co-founder and CEO of trulio we do police body camera analytics yes and my back ground is south side Chicago big family brothers or veterans became FBI agent I didn't I went to college and I did Quantum and one number three The Negotiator yes and number first who did that uh so my oldest brother and my youngest brother are veterans got it and I went to college and did Quant Finance yes ended up on Wall Street yes building trading strategies and looking for signal and unstructured data they signed on the dotted line and served the country and uh now are in FBI and um and so I'm super proud of them yes from a proud military police family and when I spent a lot of time dealing with unstructured data looking for Signal built my first company before you go there yeah why did you gravitate towards math as a kid was it Wall Street strategies was the Wall Street thing a money thing for you as a kid um like you were like I like games I like math I like stats oh and now that I've become way of this Wall Street thing I can take those skills and it can also be a financial thing sure I like to win in games and uh trading is a big game it's like a video game and so um yeah like probability and stats I thought I needed math I learned a lot of math doing Quant Finance you then you grow up and you learn that the world is not linear or deterministic a plus b equals c but not in the real world uh and so I learned through building trading strategies that game theory is actually more important to making money than formulas the gray of psychology yeah understanding herd mentality yeah how people think and um and having a Trader's mind says definitely helped me as an entrepreneur helped me understand how to manage risk how to think about losing trades whether it's like a bad hire or a decision I made that isn't working really allows you to separate yourself from ego how old are you right now 41. so at 41 how would you say you balance the gray and the black and white that you've just now talked about in the first couple seconds like if I asked you and obviously every scenario is going to be different but just gut feel in your stomach right now when you are making decisions because I think this is going to be very powerful for a lot of people who are listening making decisions is like such a big part of it all you know and I think some people a lot of people really gravitate towards one side or the other it's all black and white lender or it's all like gut feel what do you think your current mix is in your current state it became more gut as I've gotten older yeah how do I feel about this person sitting across from me yeah I really think the key to making good decisions is your Clarity of thought it

### Segment 2 (05:00 - 10:00) [5:00]

has to be grounded in reality meaning you have to ask a lot of good questions to understand what actually is reality and I learned over time that My Success was highly correlated to the Quality questions I ask in a meeting do you think that a lot of people are grounded in ideology yes I think a lot of people's egos in the way they don't you know they're thinking about their business they're not being realistic that it's suffering in some way that there's some damage that it's not doing as well that it could fail and they've convinced themselves of a different reality often not being accountable and liking somebody else yeah my favorite thing is when Entre I talk to so many this is a big one for everybody who's listening when you come and tell me your business is failing because of these two people that work for you do understand that you were the one who hired them and that is deciding to let them still be there yeah it's a you're 100 responsible for your business period 100 percent one of my favorite things is into entrepreneurs over the last 15 years is their passion for who the president is as if that's a proxy to how successful they are as an entrepreneur I'm aware that taxes could change under different presidencies I'm aware that policies can and you know I'm aware that there's rules that can be made but the reality is still at the end of the day if you're a operator you can operate around new truths sometimes that's the consumer Behavior sometimes that's a political organization but the reality is you do have a lot of control including things like you know there's a global audience like you can leave where you live if you're in Sweden right now and you're like man it's just harder to build a huge company in Sweden in Tech I'm like move to San Francisco could and so I really do love the happiness that comes along with accountability my gut instinct I think became more honed as I got older as I had to hire people I think during the hiring processes it's not as black and white it's very difficult to quantify or structure an interview and we need to spend time with people yeah but there are things you should be looking for there are certain questions you should be asking or even more interesting to me has always been and then there's you've hired them and then the process actually begins right the data gets very clear when you're actually with someone you know hiring even to your point even if you have a good process there's still going to be so much of an intuitive guess yeah you're not going to bet a thousand not even close working with someone the data becomes dramatically more clear so what you do about it once you realize you've made a poor hire or a great hire yeah really becomes the variable of growth you need to eliminate poor hires especially a small startup like trulio I owe it to my team my investors my customers and that person if they're not the right person to be at the company it's not right for them or their family or their growth and so it's better just have that obvious conversation let's back all the way back up where I distracted us and took us off the course so okay so you're trading then what happens um yeah so I'm building trading strategies you know systematic approach to trading all model building everything is um you know nothing's discretionary I build systems and so I work on Wall Street and I learned to do something called natural language processing which is essentially transcribing and analyzing calls I was very interested in structuring all the different conversations I had at one point I had 180 counterparties that I would talk to and I wanted to make our conversation searchable so that if somebody called me and asked for Coca-Cola I could search who else asked me for this product in the past and so I was very interested in structuring unstructured data email chat messages most a lot of trading is still done over insta message believe it or not and so um I learned about natural language processing and I ended up forming a company simply because I was pissed off that trading you're worth 1X multiple Revenue there's no multiple on your Revenue trading forces you to be a very Perpetual learning learner because strategies Decay so fast after nine months a strategy is irrelevant and that's because everyone catches up to the strategy because trading today is like Star Wars I mean people use AI yeah inefficiencies are spotted quickly and so extracted quickly yes so you need to be uh you need to evolve and adapt very quickly uh and it's a lot of work and you're still going to be worth 1X multiple there's no SAS No One's Gonna acquire you for your trading multiple or trading revenue is what occurred last year and so right around 30 I started my first Company Green Key and we transcribed and analyze Banker phone calls and we gave the bank client insights you know what are their customers calling for what are they upset about how do you hire better sales people product

### Segment 3 (10:00 - 15:00) [10:00]

whatever it is yep yeah how do you create better objection handling we were structuring the unstructured data yep and give us a little bit more of how that went sure so um I I've made a lot of mistakes in my life of course uh one big mistake so is every single person listening the number one problem that a Founder entrepreneur needs to solve is what is the problem you want to solve that's it like that everything starts with the problem you're choosing to solve because everyone you're going to have to work hard but the how you direct that hard work is very important the problem we try to solve looking back on it we were solving a problem for banks that we thought would move this data to the cloud they didn't we made a lot of assumptions that were bad another big assumption we made was that did you make assumptions out of what you knew would be better but didn't understand that the customer wasn't ready yes but also you know I wanna I apologize I jumped in noticed everyone even just rewind this and start where you know two minutes ago and just keep listening the reason I was able to jump into that is talk about pattern recognition no different than people living on ideology versus reality when I tell you the single thing that I see over and over a very capable talent in startup land is knowing what is better but getting there too fast for the market because the market has other rationales where the best technology or the best thing isn't the actual North Star there's some sort of other rationale Legacy software contracts political relationships in the business sense of political relationships so keep an eye out for that you might be right but you might be so early or you might have been naive to how people make decisions that's exactly right timing is everything the customer might not be ready for you to solve their problem in the way you want to solve it correct and so um one of another issue with that business was that we would do a great job for JP Morgan and guess what they would pay for us and say don't tell anybody about how this works so there was no viral coefficient we couldn't build on that success they didn't want Goldman Sachs to know what we just did right and so that's very different than for example in policing where I do a great job for one department and they tell 50. but if you do a bad job they tell 100 right and so but I like that business I like a business where I can compete on quality of service product yeah absolutely let's actually segue to that so that one that business had a story just quickly how did that wrap up sale Old what eight years it was acquired in 2021 okay and you were happy with that yes good and so then you have you sell a business that you were happy about so that's good so that means what was you said 2021 yes so very recently a year and a half ago yeah so you're 39 40 whenever this you know goes down what's running through your mind post that exit and how does that play into what you're doing now um the problem of police trust being low I thought about it was obsessed about it I like thinking about problems that Society has that it doesn't yet know how to get the solution to right and so trust in the police is low for a lot of different reasons and I thought actually I'm in a very unique position to maybe solve that problem so I began to research it I went around to the camera providers right the people that manufacture body cameras and I said hey guys NLP is uh eight years old at this point transcription's 30 years old why aren't you guys analyzing body camera video I wanted to figure out why no one else was doing it you're asking the questions yeah doing a lot of research went around and met with various Chiefs went to the FBI National Academy which is the top gun of policing met with the top one percent of police hey guys this is what I think the problem is I think this is how I can solve it what do you guys think just doing a lot of q a you already have a lot of nuances and hypotheses because you got your brothers around you and so it's you know between research and then kind of like listening to the stories and I'm sure whatever that was you're on a hunch and then you're confirming hunches with more questions and you're going through this process how long does that go um that goes for about six months and what happens at the end of that six months what's the Eureka or the IC signal I get access to data yeah I look at unstructured data I quantify cops language and I see in the data cops that give more explanation have better outcomes before we go down this which I think is super fascinating I want you to go back to the natural language stuff as a whole because it's at the foundation of where you're about to go and we have so many different people listening there's going to be like the people that are generally just interested like I am which is probably why you're here of like hey this is really cool to like solve some of life's biggest dilemmas through technologies that are merging with AI and everything else coming there's like a whole new world order of the next one like I can't wait to watch from heaven like the next hundred years we're gonna do a lot of cool [ __ ] but then there's also like the nerdiness of this there's a lot of people that could find their calling because of this break down the natural language so for just a quick second we'll go back to where we are on the police stuff but I think you know watching videos

### Segment 4 (15:00 - 20:00) [15:00]

transcribing the words and then structuring that to like actually get into an ahas or six is really cool yeah I understand so um so most of the electronic communication between computers is done over protocols or it had been right so you write to an API there's a protocol there's a format for these two strings to be passed back and forth they have to be in a certain order and that's how the world worked primarily but that's not how humans communicate we communicate in an unstructured way through language and video and chat and some message and all this and so language yeah so NLP natural language processing it's a subfield of AI it's like the intersection of linguistics where basically it structures language so that a machine can understand not just the word spoken but the sentiment and the meaning behind it so NLP is being used to for example summarize a document it can be used to label documents where okay these words are empathy this is questioning this is uh you know different types of labels that created like in trulio we create labels around an arrest use of force non-compliance and so categorizing you categorize the insights which is how humans are actually conveying we're conveying these large insights back and forth so NLP is just a way to structure unstructured data so machines can process it it's like an interface humans and machines um with ML and LP like all of this stuff is like for a long time I'm like man this is a because for me all my magic was in the gray and an intuition and so like when this all started hitting my radar four seven eight years ago I'm like wait a minute yeah I'm glad I'm gonna retire because my magic can actually become commoditized over time which is profound yes it's profound like everything that has worked for me yeah so it's like actually going to be mapped yeah that's exactly right it's structured in like an Excel spreadsheet NLP makes data come alive and be able to be structured so it can be analyzed and compared so you go through this journey yeah you start analyzing the videos yeah and you're like [ __ ] I got stuff yeah yeah Traders mindset sifting through a bunch of unstructured data thinking about should I start this company well I need to know that there's signal for sure because there's a lot of noise I'll give you some examples you could I had to break down signal and noise because I'm sure of it but I feel like people can get a lot of value if you're breaking down sure so you know signal or Alpha is like looking at data sets and finding causation and it's like an example would be in the data sets we mine you could say well you know I don't want Cops to say swear words well I got news for you it was super they're super effective cops that say swear words we can look at their data and I'll find a civilian gratitude uh they've got good outcomes even though that they use some profanity and so that we realize well actually it's directed profanity it's the fu to somebody that they don't like of course and humans civilians don't like insults watch this everyone Dustin let's go [ __ ] kill it together yeah versus Dustin [ __ ] you [ __ ] exactly yep thank you yeah so we had to sift through noise and look for what is the actual signal what is it that creates good outcomes for cops and civilians here's another example the number one complaint from a civilian four cop is he was rude he or she was rude to me what that means in the data is that the officer gives commands and doesn't negotiate there's no listening there's no what about this we don't monitor tone I want to tell you why you can do it tone Cadence volume clipping frequency all this stuff there's not enough signal there got it because there's loud cops that are respectful and effective and so I don't think the science what about their intent boy if you know I'm sorry uh podcast I'm apologizing right now I'm getting very selfish it's insane to me how much the currency of my bro like my being believes that intent is like this Prof like it's unbelief I basically make every decision based on my interpretation of the intent is that something that can factor in or is that just too [ __ ] hard I had this point we can't do it I don't know if anybody can do it we can't and my job as CEOs make sure we only work on the things that we're going to do really well and we can't do that well we can't do image analysis well so we don't work on those things yeah it's funny as Vayner media as the agency we're sitting in right now I think one of the re people somebody asked me the other night he's like man you guys literally built one of the biggest agencies of all time in such a short period of time like how and I'm like you know there's a lot of answers but it was funny it was similar to what you just said I was like you know self-awareness I was really clear in my brain of what we could do exceptionally well compared to everyone else and what would be a commodity or as good as everyone else or below it everyone else so I really love hearing that it's a real big insight for all the founders listening understanding that

### Segment 5 (20:00 - 25:00) [20:00]

not doing things you think you have to do because everyone else is doing it focusing on strengths versus trying to like half-ass weaknesses you need to protect your company with the word no customers are going to ask you a lot of to do a lot of crazy stuff and bolt on different solutions you need to say no to that stuff and say stay true to yourself yeah because then your product becomes Frankenstein then your Professional Services yeah I think those record multiples so you're going through and you're seeing it I mean this is that must feel like a um what's that brother yeah elated yeah not only elated pretty emotional because you know look I'm trying to do great advertising Communications and that's important and obviously when I do it for non-profits versus for-profit like there's a different feeling but like you're not [ __ ] around here like this is a big one like God forbid which I mean God willing I use it as slang you map this one you get this at scale like you're gonna do a lot of good for the world talk about getting this right that just helps a lot yeah we're super excited about our mission um you know the vast majority of police do a pretty good job there's some percentage that shouldn't be cops but this gives them a map a protocol a structure of uh an algorithm to follow it's very simple to follow we give them the rules of this video game they play the game they structure their strategic language around it and they're gonna have better outcomes how many cops in America were around the world today wear a body well in the U. S there's about a million cops and about 650 000 700 000 of them wear cameras really high number yeah it's not 100 yeah they still don't have cameras in rural counties and things every major city has cameras and how many like can there's probably not a huge there's very few humans on Earth that are more optimistic about humans than I am it is what keeps me so happy I believe in team human so much it's crazy I'm also aware that the small percentage of humans that don't hold up to a level of humanity that we all aspire to or eating up the oxygen of the conversation thus rendering a lot of people feeling unhappy because I think the noise around the one or two percent that aren't doing it well clouds us to understanding that 98 of people are good people doing the thing and so and that comes in every form parenting politics teachers police on and on relationships so your point earlier like most cops are doing it really right some people shouldn't be and then there's probably some sort of thing in the Middle with a little tweaking and training could get to the side that you wanted to and so I mean I assume this is a massive tool for whom the chief yes a chief would use it to sort of mitigate risk right they want to go to sleep at night but the tools designed for the sergeant the Sergeant's responsible for eight or nine people called their squad and it gives the sergeant the ability to do some coaching to identify moments of non-compliance or any unprofessional language to intervene and say hey cut that out uh and during non-compliance hey I notice you interrupt this person I noticed that you gave a lot of commands they asked questions you didn't give explanation so it's really a tool designed to help the sergeant how much is bad behavior that isn't on like what is ideal predicated on fear most of it yeah so these young cops that give a lot of commands that's what's going on yeah they're afraid they're in this situation they're nervous if they weren't nervous they'd be more confident they'd engage in more negotiations and so what happens is the older the cops get the more fights they've been in the better their language becomes that's what we saw in the data recognition yeah so I want to basically help young cops speak like old cops as quickly as possible interesting you know just to get out to like a rising sort where do you think um give me another genre of the world where you think you know structuring the data could have a profound impact because if your brain is playing puzzles and games like I've you know obviously you're super focused on your startup right now which is cool and I think it's such an important topic which is why I'm happy to have you on just take me out of that for a quick second just knowing you're a human being living life and I think we all do this whatever our framework is we can see it in other places yeah give me a four insta you know this is almost like maybe inspiring someone who's also strong at this be like hey did you look at what's going on with the surf current or like with soccer or like where else is do you see like a huge opportunity right now in this anything stand out yeah because I come from sort of a market-centrics background what I mean is I think about how liquidity interacts with each other right building trading strategies I think very deeply about liquidity Dynamics and matching engines blockchain

### Segment 6 (25:00 - 30:00) [25:00]

is basically markets for networks that's how I think about it it's like networks interacting with each other in a market sense so an example would be Gary my car is behind yours my car is going to be able to negotiate with your car to get out of the way so I can pass you and maybe I pay you some fee and so cars are gonna be okay stop right there yeah like that I like the way Dustin responded and my brain did the same thing and I was shockingly quiet um that was [ __ ] amazing to your point self you know this is all goes to the Techno I keep telling my friends I'm like because I am profoundly stunned that people think technology stops in their live Hood I'm like you do understand that like people were our age 40 and then like the car was just invented at that time and then like everything changed for the TV or a plane I'm like ai's gonna happen and more crazy stuff's gonna happen so to your point self-driving cars at scale right in the world now on networks 5G 6G 7g 13g it's gonna get fast enough no lag time and now because I'm in a rush I'm paying more I can actually be in my car in 27 years nine years 99 years whenever this happens and I could say I'm about to pay a Vic this is exactly right this is exactly what blockchain's gonna do makes so much damn sense I'm literally going to be in an interface and be like I need to actually get there in seven because I could get there in 17 minutes in travel time but it's the traffic that's going to make 39 so now I'm gonna pay the drivers in front of me a vig to actually get me there in 17 minutes because that is actually that valuable to me because if I lose that 15 minutes I might not get the business deal and this might be worth a thousand dollars for me and that could be disseminated amongst the 83 cars in front of me to or 830 for me to get there yes that was an example of how uh flocking Rat yeah well I was just explaining how markets how I think of blockchain is like this big market for networks but the NLP component of blockchain um you asked what I think about I think right now it's hard to know what's true you know in the world yes and um if you have this big network of uh you know authenticators and consensus I think there's a product where we dump things onto a blockchain and um that Network through consensus decides whether that's true or not and so that'll be done through NLP because that's going to be a bunch of unstructured data correct here's this article I read it got dumped on the blockchain the chain says this thing is true because these are decentralized servers and nobody can really impact them it has the capacity for Providence and truth that the internet and Society does not yeah exactly through Page linking the network can decide whether that's true those are factual statements and something will then be relatively true and we'll be able to have confidence that what we're reading is relatively factual right because to your point like for many years to get back 300 years or what have you 100 I don't care where you go like what was in a book was default into believing like we believed it we this is clearly the blockchains are clearly have the potential to replicate that energy in the world in 100 years clearly I agree with that I'm still pumped about paying a thousand bucks to get to my next meeting no but it's really powerful yeah like I really do love that okay you know before we run out of time what have we not you know I always like to leave five or seven ten minutes for this you know you were coming in this morning we're gonna have this podcast I'm so respond I was excited about it because I knew this would be a fun one I'm really excited about the audience's take on this I think we're going to be able to bring a lot of value from these kind of stories and meeting individuals around the world like yourself doing interesting things what did we not touch on that you kind of thought we would talk about here today kind of giving you the open floor what did we and you can be very selfish or anything that we didn't talk about yeah I've raised a lot of capital um throughout my life whether it's Siege or series A or B or you know even through exits um trulio in addition to professional VC we've done crowdfunding and we put it up on our website it's an invest Now button and um I think Founders should be thinking about crowdfunding in the future and I really think it's interesting because it's sort of a big digital marketing exercise and for a business like trulio um it's a big digital marketing exercise it's a call to action where these engaged civilians want to be involved somehow and this is the way that they can and what I'm seeing is that you know if somebody invests 100 bucks that that's fine they could be somebody that drives a hundred thousand dollar deal in their City because they go to their city council mayor and they say I want this product in our city I'm a taxpayer we bought cameras we're paying for storage and so this the idea of crowdfunding I think is very interesting and important because it can create activated ambassadors for your brand got it so you're saying how humans work if I'm a human and I put 500 into an investment through a crowdfunding no

### Segment 7 (30:00 - 34:00) [30:00]

different than like people that buy a stock on the public market and then now that they bought it they buy Nikes in the store or they like Nike you're saying that the crowdfunding allows them to be micro business development and awareness engines and that in general from a psychology standpoint and the strategy standpoint might be highly interesting because it's not just about the 409 dollars that they put in which might be quite small in a 50 million dollar raise it's that they may actually trigger behavior that leads to higher economic impact on the business that's exactly right makes a ton of sense especially at scale yeah if 13 000 people do that it could get real interesting real fast it might not be right for every business for a business like trulio which right now is B2B right the first hundred departments are early adopters yeah where are you guys we're how far along are 20 departments um out of 18 000 in the U. S 18 000 police departments in the U. S and you're in 20 right now so we're very very early how long has the longest one been using it uh 16 months like since day one and like without tooting your own horn like give us a I assume like you're gonna be something that's really cool yeah so we learned this yeah we learn to embed academics in these departments to measure outcomes so in this department Alameda California and the Bay Area data 36 drop in use of force 36 percent got it in the 16 months yeah they've had 36 percent less need for Force because of all the training and from the insights that we were able to create yes because yeah officers have better outcomes there's less non-compliance they're less transactional right the cops are smart once they know their camera data is being analyzed they're a little bit more patient they speak differently the machine learning and all this like I assume the more the so at scale the more you continue to analyze the more you're going to get further down the pipe of like another subtle Insight another subtle and so this thing gets stronger over time yes I'm building a virtual Sergeant I mean that's what we I don't think cops are gonna Department's gonna hire more cops I think they're gonna we're gonna build virtual Bots that automate supervision coaching and they promote professionalism they're going to create content for departments do you think robot what about robots that are like RoboCop but then why didn't you have to think for like what do you think that like do you think that's going to be wild right yeah I don't know I'm not sure if they'll be you know robots I would definitely listen to RoboCop more than a record okay if a robot if a cop was like yo don't like I like to like probably jaywalk too much here in the city like the cops like yo I'm so sorry but like if a robot did it I'd probably run back like the robot would probably scare the [ __ ] out of me like laser me or something you know what I mean yeah do you think we're more likely to listen to robots than humans I think we're more or less likely to listen to female cops actually we need more females I like that they give explanation about 12 times the rate as a male makes sense they're always they have to be more strategic communication we do I got three girls we're such [ __ ] ups um so that so that's interesting that right to your point this is where the data gets super duper duper interesting and becomes more actionable um I love it again I know we're running out of time any just because I'm so fascinated by this again everybody listen to podcasts I think you can sense that I'm trying some new stuff from a content and marketing standpoint please give me feedback on what you think about obviously this is one man one startup one subject matter but the concept of emerging things and emerging individuals that you may not just be able to find every day not the same people that are being talked about every day uh love your feedback on this because I personally am enjoying this conversation quite a bit last parting shots appreciate you Carrie yeah appreciate you thanks for the opportunity of course thanks so much but that's very sweet but one last parting shot like a Robocop or something anything out anything else cool or interesting from being a founder or raising capital or anything in the machine learning space as a Founder have an athlete mindset you know get sleep uh don't do drugs limit your alcohol think about your physical being like an athlete you know it's really hard and your team needs you to be making the best decisions possible appreciate you thanks Gary thank you sir that was fun yeah