SCALE IN

“You have cron jobs that are firing at 2 a.m., which is what we have, that will ingest all of my content from my podcast, my YouTube channels. We have Cold Outbound launching on Saturday, sending thousands of emails before Monday, right? You can do that. We have Deal Resurrection crons that will find the right time to reach out to people that maybe we lost the deal 60 days plus in the last couple years or so.”

“Yeah, so we're very excited to be announcing our Series F. This was $110 million fundraise, $4.4 billion post-money valuation led by insider investors. And I really think the most significant fact in this whole thing is how small it is. We're in the very rare and harder position amongst robotics and AI companies of actually having rapidly declining capital needs. It's a testament to the strength of the core business, the demand for these products, having a really elite team that's capable of operating extremely efficiently, that we actually don't need that money to keep scaling.”

“Now we call it agent mining because we record all these decision traces, these contexts, what the users are entering into the system. And then you can either use it to say like, hey, wait a minute, this is actually an anomaly. The folks in, I don't know, in UK from our company or the folks in Australia shouldn't do this because the standard operating procedure is this. Or you say like, oh, that's actually a very good improvement.”

“This is an agent that helps us on sales across the board. It will actually create all the cold email sequences, it'll come up with all the leads, it'll scrub the leads, it'll de-duplicate the leads as well, and it will send it on a sequence, and it constantly iterates over time. It will constantly self-improve. And so this agent we have, that's in our stack, we have a stack called Single Brain, which is all of our revenue agents.”

“The ones pulling ahead already have agents doing real work, real systems that do real tasks with credit cards and everything. I have 12 agents running inside my company right now. They handle sales, content, SEO, and recruiting without my team touching it. One of the agents, the finance agent, even saved me 500 grand the first time I used it. The gap between who gets this and who doesn't is opening fast.”

“Large language models are not made for this, right? In a way, how they generate just one token after another essentially in a sequence to sequence modeling, I mean, they're language models, right? And they do this phenomenally well. But if you still want to do these predictors where you have to go back to these classical machine learning approaches... What we said all the time is, okay, look, we have all this data stored in these tables, right? Thousands of tables, right? Where all this information is stored. Can we not apply the same idea that large language models or multimodal models did for the unstructured world, actually for the structured in order to start predicting things?”

“The hypothesis is that, of course, once the hardware matures in the quantum space, there are certain problems that you can address that are hard to address today. What we are focusing on is the optimization domains, obviously, and then if you go into things like logistics, traveling salesman problems, knapsack problems, like all these kind of usual hard problems in computer science, these are interesting problems where we believe that could be interesting for the future, for maybe a different kind of computing paradigm to solve for.”

“We are now at the point where we are doing nearly 500,000 paid rides every single week across 10 different cities. This isn't just a science experiment anymore; it's a massive global scaling operation where we've moved from the lab to the streets in a way that is repeatable and safe across diverse urban environments.”

“There is this misconception that if you just keep improving driver-assist systems, they will eventually wake up as fully autonomous robotaxis. That's not how it works; the architectural requirements for a system that requires no human fallback are fundamentally different from one that relies on a human to pay attention. You can't just bridge that gap with more data; you need a different foundation.”

“We will get a lot of business from data centers, but not just on the installation. Data centers need roofs too. Data centers need waterproofing, very much so. Data centers often need lumber related products. So so data centers are big consumers of building products. Now TopBuild itself has single digit percentage exposure to data centers, but it's very fast growing.”

“But SAP and these large customers, right? They always have a problem of scale. Okay, what do you know with 100 documents? Well, it becomes a little harder. A thousand documents becomes a deeper engineering challenge. Last year, everybody could build an MCP server. It was so super simple to hook up your MCP server and do amazing things with it. But that becomes like for 10 APIs, not an issue, 100 because you'll get already context bloat and all these challenges. But we have 20,000 APIs, right? So it becomes just like because it's so huge.”

“We moved from a classic ML world to a world where we have LLMs generating responses and now we want to move on to a world where actions need to be taken. And when the problem that we are working on is a complex one with multifaceted aspects associated with it, that's where multi-agentic comes into place. So basically, we have a large complex goal, which we have to break down into specific steps and each step is basically narrowed to a specific agent.”

“The cases that the SEC and the Department of Justice brought against Nader have been dismissed. The DOJ dismissed in March 2025, and the SEC dismissed with prejudice — meaning it can’t be refiled — in March 2026. This comes after the founder was charged with defrauding investors of $3 million and running an unregistered securities offering.”

“We use a combination of Simulation and what we call 'Critic' models to train our AI drivers. This allows us to run billions of miles in a virtual environment where we can test the most extreme edge cases that you might only see once every hundred years in the real world, ensuring the system knows how to react before it ever hits the pavement.”

“Challenge Accepted at its core originally began by me taking a whiteboard, writing all of my fears out, and then connecting each fear to a circumstance that would cause me to address it. Not just as a, like, personal self-help type of thing, because I am a very anxious person internally, but more specifically because it makes for a better story. We realized very early on showing the vulnerability, showing the fear, that's a key part of Snyder's Beats of storytelling. So starting with the all-is-lost moment of the story led us to unlock really, really fascinating episodes.”

“The first paragraph is one sentence about who you are and your legitimacy has to be encompassed in one sentence. Hi, my name is Michelle Khare. I'm a content creator with this many followers, and I've done this, this, and this. It's very succinctly proving your value. Second sentence of that first paragraph. What are you asking for or offering to the other person? And ideally, you're doing both. You're offering something. Second sentence of that email to the FBI would be, I'm reaching out to Inquirer about an opportunity to film a collaboration for my channels.”

“There is this misconception that if you just keep improving driver-assist systems, they will eventually wake up as fully autonomous robotaxis. That's not how it works; the architectural requirements for a system that requires no human fallback are fundamentally different from one that relies on a human to pay attention. You can't just bridge that gap with more data; you need a different foundation.”

“The number one constraint we're facing right now is building more drones faster. The demand for these products has really just exploded over the last couple of years. We a couple of weeks ago announced a $50 million, 3,000 drone order from the US Army. That size of contract is actually not that much of an outlier for us these days. So it's a good problem to have, but we will be tripling production over the course of this year.”

“TopBuild is the largest installer and distributor of insulation. And as you were just saying, everybody needs insulation. Every house needs insulation in the walls. Every office building needs insulation everywhere. It's a needed product, and it's not going anywhere.”

“The most important thing from a development perspective is actually people start writing their evals. That is, I was on this tour for a very long time because the problem, why does agenda coding work so well, Sarah, is of course, you can verify the outcome, right? You can either say, hey, is the program compiling, or are you unit tests, right?”

“The reason I’ve been able to build these businesses and these fights into massive multi-million dollar events is because I understand the arc of a story. You have to give people a reason to tune in, a reason to care, and a reason to buy, and that starts with the narrative and the conflict. If you can't tell a story that captures the zeitgeist, you are just another commodity business waiting to be disrupted.”

“From a product perspective, I think the course that we're charting is towards our drones being like flying agentic AI, just like you have an agent that you interact with on your computer or in the cloud, this thing is an agent that can move and do more for you in the physical world and you should interact with it in similar ways. Like it should have the intelligence and domain expertise to be useful to you in that way.”

“You have agents that are infinitely patient, and what happens is you have these triggers that are firing at any given time. You have cron jobs that are firing at 2 a.m., which is what we have, that will ingest all of my content from my podcast, my YouTube channels. We have Cold Outbound launching on Saturday, sending thousands of emails before Monday, right? You can do that. We have Deal Resurrection crons that will find the right time to reach out to people.”

“A year and a half ago, we had the great honor of being sanctioned by the Chinese government. And it was a pretty aggressive action. They announced the sanctions, and then they showed up at the suppliers that we still had in China, shut them down, stop them from doing business with us, really tried to kill us. So that was a fun adventure for our supply chain team. They've done incredible work, and we've been able to maintain supply. And I think the good news piece of this is that we now have by far the most secure drone supply chain in the world, independent from China.”

“Literally, what you're looking at on my screen is me asking it to pull up information on a cold emails campaign. It will actually create all the cold email sequences, it'll come up with all the leads, it'll scrub the leads, it'll de-duplicate the leads as well, and it will send it on a sequence, and it constantly iterates over time. It will constantly self-improve. And so this agent we have, that's in our stack, we have a stack called Single Brain, which is all of our revenue agents.”

“Mr. Lee himself is a entrepreneur, serial entrepreneur, but he's also a product person, right? I think if you look at when we get into the car industry, he personally has personally driven 150 different models of car himself and take detailed notes so that he understand what's on offer in the market and how can he improve on it. He make us all take professional racing car licenses in order to know how to drive properly.”

“So, what I have done at every step in my life is try to find who are the best people to put around myself to continually challenge me, whether it's business, personal, relationships, content, story, and assembling that team is really important to me. Those are the people who help me decide how do I spend each minute of a calendar day. I really thrive in that environment. And being a business owner is such an oppositional to that, because now you are both the coach and the athlete at the same time.”

“Part of our defensive strategy was how do we do something that is so crazy? No one would be crazy enough, I don't think, to run seven marathons on all seven continents in one week and make a documentary about it and go through all of the production headache of that. Or call the FAA 300 times to get permission to hang off the side of a military plane to recreate the Mission Impossible stunt. It's almost like the things that feel so untouchable instantly become opportunities for story, because it's a great story to try and overcome that. And also, the second mover scenario will at least take them so long to catch up to us to get there.”

“From a product perspective, I think the course that we're charting is towards our drones being like flying agentic AI, just like you have an agent that you interact with on your computer or in the cloud, this thing is an agent that can move and do more for you in the physical world and you should interact with it in similar ways. Like it should have the intelligence and domain expertise to be useful to you in that way.”

“The philosophy for the company is that can we do a smartphone that is much better quality and we can offer to users at much more affordable prices and that's something that you see perminated in the history of our products, right? We try to offer, you know, very high quality solutions to our users at affordable prices.”

“Not only that, it generated, we're talking about a lead from a multi-billion dollar company, actually two multi-billion dollar companies, is interesting, right? Because you're not just talking about generating views, you're actually talking about generating pipeline, and the agent is helping you do that. I'm not saying you should just let your agent YOLO and do whatever it wants all the time, but you should let it get you to the point where a human needs a review, and then you're okay to publish it.”

“I decided, I'm going to train myself for the worst possible outcome. So I moved into a studio apartment with a roommate. I financially stripped down, I mean, I didn't have much anyways, but stripped as much as I could to simulate, if I'm truly failing at this and having to live in a Hollywood apartment with a bunch of roommates, I'm just going to get used to that. I'm going to get used to it right now. I'm going to cancel all of my memberships and figure out how to stay healthy, with just myself, just myself in this small place.”

“I really think the most significant fact in this whole thing is how small it is. We're in the very rare and harder position amongst robotics and AI companies of actually having rapidly declining capital needs. And it's a testament, I think, to the strength of the core business, the demand for these products, having a really elite team that's capable of operating extremely efficiently, that we actually don't need that money to keep scaling and even make more and more aggressive bets in building new products.”

“Our new custom-built vehicle is a total departure from traditional car design because it doesn't need a steering wheel or pedals. We've designed it from the ground up to feel like a mobile living room, focusing entirely on the passenger experience, comfort, and utility rather than the mechanics of driving.”

“You're gonna have a token budget for each of your employees, because if they're gonna be managing a fleet, they're gonna be consuming tokens, right? So for us, we're thinking about, how are we, what percent of our token budget is gonna be frontier models? And then what percent is going to be local models where we're running open source models? And those are obviously gonna be a lot cheaper. You wanna think of this as maybe the frontier models, that's like your Ferrari.”

“LLMs, unstructured world, that's all good, right? But most of the time, if you want to plan forward, if you want to make good decisions in a company, you need predictions. Now, the problem is, of course, still today, if we look at these predictive questions... large language models are not made for this, right? In a way, how they generate just one token after another essentially in a sequence to sequence modeling, I mean, they're language models, right? And they do this phenomenally well. But if you still want to do these predictors where you have to go back to these classical machine learning approaches.”

“Now, the problem is, of course, still today, if we look at these predictive questions, right? ... the challenge is large language models are not made for this, right? In a way, how they generate just one token after another essentially in a sequence to sequence modeling, I mean, they're language models, right? And they do this phenomenally well. But if you still want to do these predictors where you have to go back to these classical machine learning approaches...”

“It became clear to me that bank-backed stablecoins were going to win because they were what we referred to at the time as geopolitically aligned. This basically means they're not going to be shut down because they funnel foreign money into US treasuries. We realized that was going to happen in 2018 when Coinbase and Circle launched USDC.”

“SAP is the market leader in enterprise, software applications and platforms. It has 400,000 enterprise customers. Usually, I just running their finance, HR, and supply chain, manufacturing, execution, logistics, warehouse management, and then of course everything on the customer side, sales services, commerce, procurement, you name it. End-to-end, like SAP, we always say we have the broadest portfolio in terms of end-to-end running the business end-to-end. This is where SAP started with, giving real-time insight. Usually, I really describe this as it's not just software in itself, it's kind of the operating system of a company essentially.”

“Now what we do in the past, we call this process mining. Now we call it agent mining because we record all these decision traces, these contexts, what the users are entering into the system. And then you can either use it to say like, hey, wait a minute, this is actually an anomaly... Or you say like, oh, that's actually a very good improvement. And then you can elevate this to be the new standard operating procedure, maybe not just for Australia, but maybe for the rest of the world or more countries to run your company more efficient because now you'll learn something, how the organization behaves.”

“And we believe that still will continue, right? Because this is exactly what we're also seeing right now with, of course, there's still, of course, there's tremendous progress, but we also see that the AI adoption in the enterprise is still not where we want to see it, right? Like there's this Gardner curve, right? Where say like there's this AI innovation race, and then there's this AI outcome race, right? Then the gap almost increases, right? Versus getting narrow.”

“Chat Concierge is essentially an auto dealership project or application that was deployed out to our auto dealers to basically bridge that experience between dealers and their customers and make it very seamless. This is an auto buying experience that we wanted to make sure that we deliver the right solutions or cars to the right customer needs. It was a multi-agentic chat experience that was brought to the fore with the human in the loop to car buying customers to get the right match.”

“In 2012, when I was in college, I actually was able to mine 24 Bitcoin on free campus electricity. That's how easy it was to mine Bitcoin back then, you could just do it in your dorm. I remember I was so taken by it that I took a wad of cash to a CVS convenience store to send it to Mt. Gox just to buy more.”

“At this point in 2026, 2025, we release eight to 10 episodes per year. That's my upload cadence. And so every opportunity is a big bet, but what I have found is that when I did that, something even more special happened. It created something unique. And I have found that defining something unique can be even more valuable than consistency or mass viewership. We're very blessed that Challenge Accepted does get a lot of views and we feel strong about the bets that we make on these episodes.”

“I really believe seed investing is for amateurs now because the risk-reward ratio has shifted so dramatically in the current market. We want to be in the businesses that are already proven winners where our massive distribution can act as a force multiplier rather than just betting on a prayer at the earliest stages. It’s about pouring gasoline on an existing fire, not trying to rub two sticks together.”

“A year and a half ago, we had the great honor of being sanctioned by the Chinese government. And it was a pretty aggressive action. They announced the sanctions, and then they showed up at the suppliers that we still had in China, shut them down, stop them from doing business with us, really tried to kill us. So that was a fun adventure for our supply chain team. They've done incredible work, and we've been able to maintain supply. And I think the good news piece of this is that we now have by far the most secure drone supply chain in the world, independent from China.”

“I think one of our chairman saying many years ago which resonate a lot with me was 99% of the problems there was already a solution out there. You just need to find it and maybe with AI you can find it fast enough.”

“Now we're in a position to use that core technology to apply it to different form factors and use cases. And that's where the indoor drone comes into place, because a lot of dangerous work happens indoors. It's where the fixed wing drone that can cover much longer ranges comes into play. And it's a very exciting, fun time to basically take these mature technology building blocks to be able to pretty quickly assemble them into a fundamentally new capability.”

“What hasn't changed is what customers are seeking for, which is outcomes, right? Outcomes and return on their investment in order to get the things done, right? And of course, now AI is an amazing technology that again helps to get more things done in the enterprise, right? And then that is actually what SAP is standing for, right? And so what we are really doing is in given, of course, also the breadth of the portfolio and the customers is, of course, to help customers to achieve more by deeply embedding AI, AI agents, and of course, transforming now the user interface.”

“The acquisition of Beacon following the acquisition of Kodiak, which is followed now by the acquisition of TopBuild, takes us from eleven months ago where we had no building products revenue, let alone EBITDA, to the second largest publicly traded building products distributor in North America with more than $18,000,000,000 in combined company revenue and more than $2,000,000,000 of combined adjusted EBITDA. It's a big deal in the industry and a big deal in the market as a whole.”

“We're entering an era where AI isn't just a tool, it's potentially a replacement for entire sectors of the workforce. It’s going to redefine what it means to be productive, and if you aren't thinking about how that affects the labor market and the entire human race, you're missing the biggest story of our lifetime. The speed of this transition is what should actually keep people up at night.”

“Now we call it agent mining because we record all these decision traces, these contexts, what the users are entering into the system. And then you can either use it to say like, hey, wait a minute, this is actually an anomaly. The folks in, I don't know, in UK from our company or the folks in Australia shouldn't do this because the standard operating procedure is this. Or you say like, oh, that's actually a very good improvement. And then you can elevate this to be the new standard operating procedure, maybe not just for Australia, but maybe for the rest of the world.”

“The old economy is still here. It's not generative AI, but it's arguably maybe it's even more important. You couldn't have the new economy without cooling and heating. The actual business of making things and moving things, heating and cooling, is very much enmeshed with the new economy, which is all about generative AI.”

“Capital has become a commodity, but attention is the new gold. I can do more for a company in 30 seconds with a story post than a traditional VC can do in a year of board meetings because I have the direct line to the consumer that they simply cannot buy. In today's world, if you don't have the eyeballs, you don't have the power, regardless of how much cash is in your bank account.”

“I think a default expectation in five years is if there's an emergency, you call 911, a drone shows up in a few seconds, and that's going to be everywhere in the US, hopefully everywhere in the world. And that's going to change the way policing works. It's going to get better outcomes, you're going to have fewer officer involved shootings, faster response times. And I think you can also do that while protecting privacy and transparency. Like these things are essentially flying body cameras.”

“I think at the end of the day, it's all about adoption and the outcome you bring to the customer. I mean, the technology, look, the reality is for most companies, the technology doesn't matter. I always tell to my developers all the time, our job at SAP is to make the technology disappear. We need to get the outcome in front of the customer. And then try to make sure that we of course, bake the enterprise qualities in and the integration is there. And the customers can turn these capabilities on almost instantaneously.”

“I think one of the things that was certainly true at Apple then is just this insistence on their leaders being exceptional engineers themselves. I remember a conversation that made a big impression on me. I was talking to one of our advisors who was a key senior executive at Apple at the time of like, how do you think about prioritizing sort of like management and leadership skills versus technical ability? And he just said, you need both. Like, you can't compromise. The best people are able to do both.”

“In this specific scenario, there were a multitude of intents, so there had to be one agent that understands specifically this intent and tries to disambiguate by asking clarifying questions back to the customer. That is that narrow job. And then from there on, we had multiple tools that can get executed in the form of different actions that need to be taken based on the intent that comes in. So we have a planner agent that does this discernment.”

“With AI, the same is happening. It is happening on three levels. It happens, of course, on the UI side. The time is clearly over where you design software, where the dump software that requires the intelligence to sit in front of the computer. Then the second one is, of course, the business processes... a rather rigid process, like the standard operating procedure of a company. But now, of course, with these agents, we can blend the structured and unstructured world more seemingly. And then, of course, below that, you have the whole data layer.”

“Yeah, so we're very excited to be announcing our Series F. This was $110 million fundraise, $4.4 billion post-money valuation led by insider investors. And I really think the most significant fact in this whole thing is how small it is. We're in the very rare and harder position amongst robotics and AI companies of actually having rapidly declining capital needs. It's a testament to the strength of the core business, the demand for these products, having a really elite team that's capable of operating extremely efficiently, that we actually don't need that money to keep scaling.”

“At my company, for whether it's SingleGrain or SingleBrain, we want people that have good judgment, because people that have good judgment, they're using AI right now, and they're becoming turbo brains. They're moving very quickly, and they're making the right moves. If you have someone that has bad judgment, and you're using AI, they become slot cannons. How do you decide what to automate, and what to never let AI touch? Well, it depends on your business.”

“People often ask if you can do this with just cameras, but our stance is that Lidar provides a level of redundancy and precision that you simply cannot ignore. When you are operating a multi-ton vehicle in a complex urban environment, having that direct depth perception and 360-degree awareness is the difference between a research project and a reliable commercial service.”

“Our new custom-built vehicle is a total departure from traditional car design because it doesn't need a steering wheel or pedals. We've designed it from the ground up to feel like a mobile living room, focusing entirely on the passenger experience, comfort, and utility rather than the mechanics of driving.”

“The most important thing is when you're setting up these agents, you want to set its own soul.md, so give it a personality, talk about what you like, what you don't like. Memory.md, so for persistence, obviously you want it to remember things as well. And lessons.md, too, you don't want self-correction after mistakes, right? You want lessons.md to remember the mistakes and also help you not just call out the mistakes but cover them.”

“We have a very, very robust model risk office that we work very, very closely with. We have all of the risk and compliance frameworks embedded within the platform, which appear as policies, as guardrails, as security enforcement, and cyber enforcement across our different layers of the platform that get implemented across different threat boundaries of the agents.”

“We are seeing a shift where the best founders are no longer looking for just a check; they are looking for a megaphone. If you can provide the distribution and the capital, you are playing a completely different game than the legacy firms that only offer money. We've built our entire model around the idea that being a creator and an investor are now the same job if you want to win at the highest level.”

“The most important thing is when you're setting up these agents, you want to set its own soul.md, so give it a personality, talk about what you like, what you don't like. Memory.md, so for persistence, obviously you want it to remember things as well. And lessons.md, too, you don't want self-correction after mistakes, right? So you don't want it to just, you make a mistake and you keep making the same mistakes over and over.”

“We are making these human robots to enhance our own manufacturing capability and efficiency. We haven't launched any 2C robots. So all the robots that we are developing, all the humanoid robots we are developing right now are used in our own manufacturing scenario. I think the video already showed that there were two robots that are working consecutively for three hours with a very low margin of error.”

“And yet, if you look at what the virtual guy did, because I was trying and wanted to get involved in tech, and then ultimately angel investing, where was I? I was in the Bay Area for 17 years. If I had not done that, I think my success would have had a 0% likelihood. I mean, literally 0%. If I look at how a lot of the ultimately best advising or investing relationships came together, they almost all started with chance encounters at the equivalent of a kebab shop. I go to a barbecue at someone's house and accidentally bump into someone and spill their drink and start a conversation.”

“People often ask if you can do this with just cameras, but our stance is that Lidar provides a level of redundancy and precision that you simply cannot ignore. When you are operating a multi-ton vehicle in a complex urban environment, having that direct depth perception and 360-degree awareness is the difference between a research project and a reliable commercial service.”

“I really think the most significant fact in this whole thing is how small it is. We're in the very rare and harder position amongst robotics and AI companies of actually having rapidly declining capital needs. And it's a testament, I think, to the strength of the core business, the demand for these products, having a really elite team that's capable of operating extremely efficiently, that we actually don't need that money to keep scaling and even make more and more aggressive bets in building new products.”

“When we complete the merger, we'll be number one in insulation, we'll be the second biggest in roofing, will be number one in waterproofing, and will hold number one or number two positions in certain geographies within lumber and building materials. So we'll have a huge addressable market, several $100,000,000,000.”

“In terms of the material we use for that rear floor we generated over we stimulated over 100 plus formulas and use AI to predict the performance of each of these formulas and ultimately we picked two to be the material for that. You don't use humans to do it anymore. You just use AI to take pictures very quickly. They can diagnose whether this piece is good or not. And then you can use AI in terms of material generations and a lot of those things.”

“SAP is the market leader in enterprise, software applications and platforms. It has 400,000 enterprise customers. Usually, I just running their finance, HR, and supply chain, manufacturing, execution, logistics, warehouse management, and then of course everything on the customer side. End-to-end, like SAP, we always say we have the broadest portfolio in terms of end-to-end running the business end-to-end. This is where SAP started with, giving real-time insight. Usually, I really describe this as it's not just software in itself, it's kind of the operating system of a company essentially.”

“The number one constraint we're facing right now is building more drones faster. The demand for these products has really just exploded over the last couple of years. We a couple of weeks ago announced a $50 million, 3,000 drone order from the US Army. That size of contract is actually not that much of an outlier for us these days. So it's a good problem to have, but we will be tripling production over the course of this year.”

“Instead of having four humans that has, maybe a task might take you three weeks or so, like a cold email campaign might take you two, three weeks. Maybe it's three people helping you. Now you have one human that can probably do it in a day or two, right? And that's being generous. Probably takes a day. You maybe need to have some reviews done, but then you're often sending the emails the next day. Just the human timelines don't work anymore.”

“We're entering an era where AI isn't just a tool, it's potentially a replacement for entire sectors of the workforce. It’s going to redefine what it means to be productive, and if you aren't thinking about how that affects the labor market and the entire human race, you're missing the biggest story of our lifetime. The speed of this transition is what should actually keep people up at night.”

“What we are focusing on is the optimization domains, obviously, and then if you go into things like logistics, traveling salesman problems, knapsack problems, like all these kind of usual hard problems in computer science, these are interesting problems where we believe that could be interesting for the future, for maybe a different kind of computing paradigm to solve for.”

“These platforms come into the fore when you are governing agents in runtime. And that's where the massive huge benefit of platforms comes into the fore. This gives the architects of that specific agentic framework the flexibility of focusing deeply on the design, whereas the platform brings in all of the governance and risk compliance that needs to be bounded to make these agents execute safely in any environment.”

“The local partners are willing to work with you developing products that are more customized to what we want and as a result it's not just faster but it's also our ability to offer much more customized solutions that fits better into our smartphone, that fits better into what we want and as a result, you know, we go to market we are able to offer, you know, products to our customers at some offer something that they really want.”

“And the quadrant I identify with the most is ruinous empathy, which is the idea of you are so nice to everyone around you, that when you need to give critical feedback to someone, they might leave the meeting feeling like, wait, am I actually doing great? I don't know, because you're sandwiching complements or downplaying the critique and you're not direct enough. And so transforming that into radical candor is about being more direct with feedback. And so some of the things that Kim has helped me very applicably work through are workshopping, giving critical feedback to people.”

“We are now at the point where we are doing nearly 500,000 paid rides every single week across 10 different cities. This isn't just a science experiment anymore; it's a massive global scaling operation where we've moved from the lab to the streets in a way that is repeatable and safe across diverse urban environments.”

“Now we're in a position to use that core technology to apply it to different form factors and use cases. And that's where the indoor drone comes into place, because a lot of dangerous work happens indoors. It's where the fixed wing drone that can cover much longer ranges comes into play. And it's a very exciting, fun time to basically take these mature technology building blocks to be able to pretty quickly assemble them into a fundamentally new capability.”

“We have an agent known as Flash, which handles content repurposing. This piece of content over here, I talked about how to practically deploy Jack Dorsey's World Intelligence, which is exactly what we do at Single Brain with these revenue agents, 348,000 views on it. This entire piece over here, I might have helped edit it for 15 minutes or so, and you should have a human in a loop here, but this is a task that continually repeats.”

“We are seeing a shift where the best founders are no longer looking for just a check; they are looking for a megaphone. If you can provide the distribution and the capital, you are playing a completely different game than the legacy firms that only offer money. We've built our entire model around the idea that being a creator and an investor are now the same job if you want to win at the highest level.”

“What hasn't changed is what customers are seeking for, which is outcomes, right? Outcomes and return on their investment in order to get the things done, right? And of course, now AI is an amazing technology that again helps to get more things done in the enterprise, right? And then that is actually what SAP is standing for, right?”

“With AI, the same is happening. It is happening on three levels. It happens, of course, on the UI side. ... Then the second one is, of course, the business processes like an order to cash in the past. ... And then, of course, below that, you have the whole data layer, right? The whole data layer of bringing, of course, SAP has a lot of super valuable data for a company.”

“A little bit over less than three years we launched our first car, we designed it and then we built a factory as well. So China speed. If you believe that a car a EV is going to be another piece of consumer electronics and that's something that we have a lot of experience in whether it is managing the software hardware integration whether it is managing the supply chain. I think those are the stuff that we have experienced working with so many consumer electronics products before.”

“But SAP and these large customers, right? They always have a problem of scale. Okay, what do you know with 100 documents? Well, it becomes a little harder. A thousand documents becomes a deeper engineering challenge. ... we have 20,000 APIs, right? So it becomes just like because it's so huge, right? There's so much things. So it becomes this problem of scale, right?”

“The hypothesis is that, of course, once the hardware matures in the quantum space, there are certain problems that you can address that are hard to address today. What we are focusing on is the optimization domains, obviously, and then if you go into things like logistics, traveling salesman problems, knapsack problems, like all these kind of usual hard problems in computer science, these are interesting problems where we believe that could be interesting for the future, for maybe a different kind of computing paradigm to solve for.”

“I ended up returning the entire $140 million to investors; they got back like 94 cents on the dollar. I also didn't pay myself while doing it, so I literally had less money after than when I started. I had full control of the entity and over 75% of the equity, so if I wanted to grab cash, I certainly could have, but I decided to do the right thing instead.”

“We use a combination of Simulation and what we call 'Critic' models to train our AI drivers. This allows us to run billions of miles in a virtual environment where we can test the most extreme edge cases that you might only see once every hundred years in the real world, ensuring the system knows how to react before it ever hits the pavement.”

“I think one of the things that was certainly true at Apple then is just this insistence on their leaders being exceptional engineers themselves. I remember a conversation that made a big impression on me. I was talking to one of our advisors who was a key senior executive at Apple at the time of like, how do you think about prioritizing sort of like management and leadership skills versus technical ability? And he just said, you need both. Like, you can't compromise. The best people are able to do both.”

“I mean, for the most part, SAP software is seed-based, licensed today, with a few exceptions. But very clearly, with AI, it was very clear for us that step by step, it will go towards this consumptive world, first consumptive, and then maybe in the next step, once we have more verifiability in the system, then also towards maybe an outcome-based license model. But the reality is also, it is today for us, it's a hybrid model. It's consumptive, but it still has a certain element of seats in there.”

“Capital has become a commodity, but attention is the new gold. I can do more for a company in 30 seconds with a story post than a traditional VC can do in a year of board meetings because I have the direct line to the consumer that they simply cannot buy. In today's world, if you don't have the eyeballs, you don't have the power, regardless of how much cash is in your bank account.”

“DESO is short for decentralized social, and you can basically think of it as like Twitter or X, but on a blockchain. What that means is that when you make a post, it's actually stored on a fully decentralized blockchain and nobody can censor it. Just like nobody can take your Bitcoin, nobody can censor your content.”

“The reason I’ve been able to build these businesses and these fights into massive multi-million dollar events is because I understand the arc of a story. You have to give people a reason to tune in, a reason to care, and a reason to buy, and that starts with the narrative and the conflict. If you can't tell a story that captures the zeitgeist, you are just another commodity business waiting to be disrupted.”

“I think a default expectation in five years is if there's an emergency, you call 911, a drone shows up in a few seconds, and that's going to be everywhere in the US, hopefully everywhere in the world. And that's going to change the way policing works. It's going to get better outcomes, you're going to have fewer officer involved shootings, faster response times. And I think you can also do that while protecting privacy and transparency. Like these things are essentially flying body cameras.”

“SAP and these large customers, right? They always have a problem of scale. Okay, what do you know with 100 documents? Well, it becomes a little harder. A thousand documents becomes a deeper engineering challenge. And now if you go into Julia or Sarah, you're maybe an SAP US employee, right? Of course, if you ask a question, of course, for travel policy, for example, of course you expect a very different answer than me as a German employee would get. So you now need to connect this actually with your master data.”

“For me, it was always very clear. I mean, for the most part, SAP software is seat-based, licensed today, with a few exceptions, like Concur or Fieldglass, for example, or the business network. But very clearly, with AI, it was very clear for us that step by step, it will go towards this consumptive world, first consumptive, and then maybe in the next step, once we have more verifiability in the system, then also towards maybe an outcome-based license model to, for example, what Sierra is doing and so on and so forth.”

“I really believe seed investing is for amateurs now because the risk-reward ratio has shifted so dramatically in the current market. We want to be in the businesses that are already proven winners where our massive distribution can act as a force multiplier rather than just betting on a prayer at the earliest stages. It’s about pouring gasoline on an existing fire, not trying to rub two sticks together.”

“The time is clearly over where you design software, where the dump software that requires the intelligence to sit in front of the computer. If you look at classical software, what did you do? You decide to use an interface. This is over. It's now, we call this Generative UI. The UIs get dynamically generated. If you have analytical questions, for example, or if you want to do your deep research, not just the deep research you find on perplexity or the usual chatbots, but deeply rooted, let's say tariffs are being introduced or new taxes or the straight-o-formals, what does this mean for my supply chain?”