
83 segments available
In this segment, Lex Fridman introduces George Hotz, the founder of comma.ai, highlighting his reputation as an outspoken figure in AI and technology. Hotz gained fame for unlocking the iPhone and has since worked at the intersection of hardware and software, making significant contributions to vehicle automation.
"the following is a conversation with George Hotz he's the founder of comma AI a machine learning based vehicle automation company he is most certainly an outspoken personality in the field of AI and t..."
George Hotz discusses the concept of living in a simulation, explaining the idea of unfalsifiability in simulations. He elaborates on how a well-designed simulation could be impossible to prove or disprove, drawing parallels to virtual machines and the complexities of reality.
"my conversation with George Hotz do you think we're living in a simulation yes but it may be unfalsifiable what do you mean by unfalsifiable so if the simulation is designed in such a way that they di..."
Hotz reflects on the nature of the universe and the possibility of it being a simulation. He questions the complexity of the universe and whether it could be governed by simple rules, suggesting that the simulation might not have a formal proof of correctness.
"yeah you've done quite a bit of hacking yourself and so you should know that really any complicated system will have ways in and out so this isn't necessarily true going forward I spent my time away f..."
In this segment, Hotz shares insights from a talk he gave about escaping the simulation. He emphasizes the importance of changing the narrative around technology and urges a shift towards thinking about how to improve our situation as a species, rather than an 'us-versus-them' mentality.
"no idea how good their tooling is and we have no idea how complicated the universe computer really is it may be quite simple it's just very large right it's very it's definitely very large but the fun..."
Hotz discusses the evolving narrative of space exploration, contrasting modernist views with postmodern perspectives. He expresses a desire for new narratives that inspire exploration and innovation, particularly in the context of AI and virtual reality.
"assume I would have acquired way more intelligence in the process of doing that so I'll just ask that so the the thinking upwards what kind of ideas what kind of breakthrough ideas do you think thinki..."
George Hotz recounts his early experiences with hacking, starting with the iPhone unlock. He shares how he learned about electronics and programming, and the challenges he faced in understanding complex systems.
"in the real world well it's all relative isn't it because others will have very nice departments too so you'll be inferior in the virtual world that's not how I view the world right I don't view the w..."
Hotz reflects on his programming journey, detailing his experiences at Google and the feedback he received on his coding practices. He emphasizes the importance of continuous learning and improvement in programming skills.
"like how men chips are connected to processors and he knew about software and programming he didn't didn't know I'll really see you the view of the world and computers was physical was the most hard w..."
In this segment, Hotz introduces 'Kira,' a tool he developed for visualizing computer states during program execution. He explains its advantages over traditional debugging methods and its potential applications in various coding scenarios.
"this is finally usable how do you pronounce this kira-kira yeah so it's essentially the most efficient way to visualize the change of state of the computer as the program is running that's what I mean..."
Hotz discusses Capture the Flag (CTF) competitions, sharing insights into their structure and the skills required to succeed. He reflects on the evolution of CTFs and their significance in the hacking community.
"rewind why isn't that maybe it is maybe you can educate me what isn't that kind of debugging used more often ah because the tooling is bad well two things one if you're trying to debug chrome chrome i..."
Hotz shares his perspective on the ethics of hacking, explaining why he chooses not to engage in criminal activities. He discusses the thrill of solving challenges and the importance of using skills for positive outcomes.
"heyday seat yeah by the way but was it what decade are we talking about I think like I mean maybe I'm biased because it's the era that that that I played but like 2011 to 2015 because the modern CTF s..."
In this segment, Hotz reflects on what he has learned about system design through his hacking experiences. He emphasizes the importance of questioning assumptions and understanding the true functionality of systems.
"not a criminal but okay let me uh that's having a discussion with somebody just at a high level about nuclear weapons actually why we're having blowing ourselves up yet and my feeling is all the smart..."
Reflecting on his growth as a programmer, Hotz recounts his journey from learning C to mastering Python at Carnegie Mellon. He shares insights from his rigorous coursework in operating systems and compilers, which he considers pivotal in his development as a coder.
"actually are yeah I understand that's what you tell me it is but what does it do man and you have nice visualization tools to really know what it's really doing oh I wish I'm a better programmer now t..."
Hotz explains his role in Google's Project Zero, an offensive security team aimed at identifying and addressing vulnerabilities in software. He describes the team's approach of publicly disclosing vulnerabilities after a set period, pushing companies to prioritize security fixes.
"but classical well somehow I picked up Python that semester as well I started using it for the CTS actually that's when I really started to get into CTF and CTF you're all to race against the clock so..."
Discussing the impact of deadlines in software security, Hotz highlights how Project Zero's strategy of giving companies a 90-day window to fix vulnerabilities has significantly advanced industry standards. He reflects on the effectiveness of this approach in motivating timely responses to security threats.
"just curious about the security efforts in these companies well product zero started the same time I I went there what what years are there 2015 2015 so that was right at the beginning of project it's..."
Hotz shares insights into his unique coding style, characterized by speed and spontaneity. He contrasts his approach with more systematic methods, discussing the pros and cons of his chaotic yet effective programming techniques, especially during live coding sessions.
"so cool I love that deadlines though that's so cool give him real deadlines yeah and I think it's done a lot for moving the industry forward I watched your coding sessions on the stream downline you c..."
Hotz discusses his methodology for learning new programming languages and tools, particularly in the context of complex distributed file systems. He reflects on his pride in creating a simplified file system and the iterative process that led to its development.
"exaggerate it a bit on the edge games as well the twitch streams I mean what do you want to see a game or you want to see actions permit me right I'll show you a PM for programming yes I recommend peo..."
In this segment, Hotz critiques Python for large codebases, citing its lack of type checking as a significant drawback. He discusses the challenges this poses for error detection and the implications for developing robust software solutions.
"reason it's very good is because that was the fourth version of it that I wrote and I had three versions that I threw away you mentioned you see go I ready go yeah and go so is that a functional langu..."
Hotz shares his thoughts on JavaScript and its ecosystem, acknowledging its complexities while recognizing its necessity in modern web development. He discusses the challenges of maintaining JavaScript projects and the importance of adapting to its evolving landscape.
"lacking so what's what's in your toolbox these days is a Python what else go I need to move on something else but my adventure interdependently type languages I love these languages they just have lik..."
Hotz recounts his entry into the autonomous vehicle industry, sparked by a friend's suggestion to tackle the challenges of self-driving cars. He reflects on his initial contract with Elon Musk and the ambitious goals set for developing a vision system for autopilot.
"yeah interesting if Tom's vehicles will run on JavaScript one day I mean you have to consider these possibilities well all our debug tools are JavaScript we actually just open-source them we have a to..."
Discussing the complexities of autonomous driving, Hotz shares his initial confidence in solving the problem and the realities he faced. He reflects on the challenges of achieving reliable lane-keeping and the learning curve involved in developing such technology.
"yeah sure so I was working at this AI startup and a friend approached me and he's like dude I don't know where this is going but the coolest applied AI problem today is self-driving cars I'm like well..."
Hotz shares anecdotes from his early meetings with Elon Musk, including a moment of self-doubt after suggesting a flawed idea. He reflects on the importance of preparation and the learning experiences that shaped his approach to problem-solving in the tech industry.
"pause on that I'm also curious about this because I've been working on robotics for a long time and I'm curious to see a person like you just step in and sort of somewhat naive but brilliant right so ..."
In this segment, Hotz evaluates the challenges of developing autopilot technology, comparing his progress to industry standards. He discusses the importance of real-world testing and the iterative process of refining autonomous driving systems.
"not I left that meeting with Elon like beating myself up I'm like why did I say something stupid yeah you haven't given I'm at least like thought through every aspect yes he's very sharp too like usua..."
Hotz emphasizes the significance of lane-keeping technology in reducing driver stress. He shares personal experiences of driving without such systems and highlights the value it adds to the driving experience, advocating for its importance in autonomous vehicle development.
"robust so what how how hard is the problem we need to when you tackled it I think a p1 was great like Elon talked about dis engagements on the 405 down in LA we'd like the lane marks were kind of fade..."
Hotz discusses the current state of autonomous vehicles and the potential for lane-keeping technology to become a major reason for purchasing a car. He critiques the current focus on full autonomy, arguing that practical features like lane-keeping should take precedence.
"feature yeah and in a way it's the only feature that actually adds value to people's lives and autonomous vehicles today way mode does not add value to people's lives it's a more expensive lower slowe..."
Hotz provides an overview of the hardware and software specifications for OpenPilot, detailing the components used and the capabilities of the system. He explains the simplicity of the setup and the focus on enhancing lane-keeping performance in future updates.
"it yeah yeah does do you think well you have to do the longitudinal as well you can't just Lane keep you have to do a cc but a cc is much more forgiving than lanky especially on the highway oh by the ..."
In this segment, Hotz explains how OpenPilot interacts with existing Lane Keeping Assist systems in various vehicles. He discusses the compatibility with different car makes and models, emphasizing the ease of integrating OpenPilot into vehicles that already have the necessary technology.
"no software open pilot right now is about to be 0.6 when it gets to 1.0 I think we'll be ready for a consumer product we're not gonna add any new features we're just gonna make the lane-keeping really..."
Hotz shares insights on which vehicles work best with OpenPilot, highlighting the advantages of certain models like the 2020 Corolla. He discusses the performance of OpenPilot in various conditions and the importance of vehicle compatibility for optimal functionality.
"to control vehicles so we proxy the vehicles that we work with already have Lane Keeping Assist system so Lane Keeping Assist can mean a huge variety of things it can mean it will apply a small torque..."
Hotz reflects on the importance of authenticity in product demonstrations, contrasting his approach with that of larger companies. He emphasizes the value of genuine interactions and transparency in showcasing technology, which resonates with consumers.
"car with open pilot it just came out there the actuator has less lag than the older Corolla I think I started watching video with your eye the way you make videos is awesome literally the dealerships ..."
Hotz discusses Tesla's strategy in pursuing full autonomy, noting the scale of data collection they achieve through real-world usage. He compares this approach to traditional methods of testing and highlights the advantages of gathering user data in developing autonomous systems.
"I get yacht I don't I got and I think Tesla's actually has a small inkling of that as well with autonomy day they did reveal more than I mean of course there's marketing communications you can tell bu..."
Hotz addresses the critical role of driver monitoring systems in ensuring safety as vehicles transition to higher levels of autonomy. He outlines the need for effective monitoring to prevent complacency and enhance driver engagement with the vehicle.
"their usual safety driver during full autonomy kind of testing and then Tesla does basically trying to go from lane-keeping to full autonomy what do you think about that approach how successful would ..."
In this segment, Hotz elaborates on the features of an effective driver monitoring system. He discusses the psychological aspects of keeping drivers engaged and the technical requirements for accurately detecting driver attention and behavior.
"actually collecting as much days people think but the ability to turn on collection and turn it off so I'm both in the robotics world in the the psychology human factors world many people believe that..."
Hotz shares insights into the challenges faced in developing reliable driver monitoring technology. He discusses the need for advanced detection methods to ensure that drivers remain attentive and the importance of addressing potential loopholes in the system.
"driver monitoring that you can't cheat what's like a successful driver monitoring system look like it's keep its is it all buzz just keeping your eyes on the road um well a few things so that's what w..."
Hotz discusses the future of safety in autonomous driving, emphasizing the need for robust driver monitoring systems as technology advances. He highlights the importance of ensuring that drivers can easily take control of the vehicle when necessary.
"biggest problem I'll show you I can show you one of the pictures from from our finder system awesome so you're basically saying the driver monitoring will be the answer to that um I think the other po..."
Hotz compares Tesla's Autopilot with GM's Super Cruise, discussing the user experience and engagement challenges. He highlights the strengths and weaknesses of both systems, emphasizing the need for seamless transitions between manual and automated driving.
"what this is all I think about it's because I think I think actually Tesla has done a better job than most automakers at making that frictionless but you just described that it could be even better I ..."
Hotz addresses the importance of driver engagement in maintaining safety during autonomous driving. He discusses the potential risks of complacency and the need for systems that encourage active participation from drivers.
"uh I don't often talk to people that because it's such a rare car unfortunately they bought one yes possibly for us we lost like by 25k the deprecation but a Philips worth it I was very pleasantly sur..."
Hotz expresses skepticism towards claims that driver monitoring is unnecessary. He argues that as autonomous systems improve, the need for effective monitoring becomes critical to ensure driver safety and responsiveness.
"end of the year hopefully he's like okay I was wrong I'm gonna add driver monitoring because when these systems get to the point that they're only messing up once every thousand miles you absolutely n..."
Hotz discusses the need for improving user experience in autonomous vehicles, particularly in terms of engagement and feedback. He emphasizes the importance of transparency in how systems communicate with drivers.
"I agree that it's high P it's just like you know what if you under I've am wondering I think I rented a my last autopilot experience was I rented a model three in march and drove it around the wheel t..."
Hotz explores the potential for using computer vision to detect driver impairment, discussing the challenges and possibilities of accurately assessing a driver's state. He emphasizes the importance of ensuring safety through advanced monitoring technologies.
"look off-road you'll start warning you it's some ridiculously long period of time and just the way it I think it's basically it's a binary chili adapter it yeah it's it just needs to learn more about ..."
Hotz shares insights on how Comma.ai uses simulation for testing OpenPilot. He contrasts traditional simulators with their approach, which utilizes real historical data to simulate driving scenarios, aiming to improve the system's learning and performance.
"a like signpost yes that ecology um so you have to fuse you have to do this visually there's no way from the radar data to tell the difference maybe you could make a map but I really believe in mappin..."
Hotz discusses the limitations of purely graphical simulations for training autonomous vehicles. He argues that understanding human behavior is essential for effective driving models, highlighting the complexity of replicating real-world driving scenarios in a simulated environment.
"simulators really cool our simulator is not it's not like a unity based simulator our simulator lets us load in real estate what I mean we can load in a drive and simulate what the system would have d..."
In this segment, Hotz delves into the intricate relationship between perception and planning in autonomous driving systems. He emphasizes the difficulty of creating a clear separation between these two components and the challenges of defining a state vector that accurately represents driving conditions.
"you're trying to learn the dead driving does not have a spec the definition of driving is what humans do when they drive whatever way mode does I don't think it's driving right well I think if you win..."
Hotz articulates the challenges of modeling human driving behavior, particularly in terms of occlusion and unpredictability. He argues that current perception systems often fail to account for the nuances of human decision-making in driving, which complicates the development of effective autonomous systems.
"derivatives maybe those second derivatives right that's human understandable that's physical the between perception and planning um so like way Moe has a perception stack and then a planner um and one..."
Hotz advocates for an end-to-end learning approach in autonomous driving, suggesting that this method is essential for surpassing human performance. He draws parallels to successful AI applications, arguing that modular systems may not achieve the same level of effectiveness.
"there's the different objects in the scene and different objects in the scene over time maybe to give you input to then try to start modeling the trajectories of those objects sure that's it I can giv..."
Hotz reflects on the future of autonomous driving, discussing the potential for incremental advancements in technology. He emphasizes the importance of developing systems that can handle various driving scenarios, including lane changes and adaptive cruise control, to enhance overall driving experience.
"true yes I'll tell you what the output of our perception system is was that it's a thousand it's a thousand twenty four dimensional vector training underling oh no not it's a thousand twenty four dime..."
In this concluding segment, Hotz shares insights on how autonomous systems can learn from good driving behaviors. He proposes that identifying and clustering effective driving patterns can lead to the development of better driving policies, ultimately improving the performance of autonomous vehicles.
"something you think about oh I want to win self-driving cars so you're really your definition of win includes level of fool five level five I don't think level four is a real thing I want to build I w..."
In this segment, Hotz provides practical advice for Tesla on improving their Autopilot system. He stresses the need for driver monitoring technology to enhance safety and performance, discussing the limitations of existing hardware in Tesla vehicles and the importance of integrating better driver-facing cameras.
"would you give to Tessa how to fix how to improve navigate an autopilot the lessons you've learned from Kamiya the only real advice I would give to Tesla is please put driver monitoring in your cars w..."
Hotz shares insights on the challenges of turning every problem in autonomous driving into a learning problem. He discusses the current state of technology and the necessity of balancing traditional methods with machine learning approaches to achieve effective self-driving capabilities.
"amount of data the the reality is though not every problem could be turned into a learning problem in the short term in the end everything would be a learning problem the reality is like if you want t..."
Hotz speculates on the timeline for achieving Level 4 autonomy in specific environments, such as Chandler, Arizona. He discusses the implications of having a self-driving network dominate an area and how this could redefine driving safety and behavior for human drivers.
"will bet you even money even money I'll bet you as much as you want so are you worried about what's going to happen because you're not in full agreement on that I was going to happen when 2022 21 come..."
Hotz outlines the key milestones for Comma.ai, including the goal of achieving profitability and the development of advanced features for their OpenPilot system. He emphasizes the importance of driver monitoring and the potential for analyzing data to improve safety and performance.
"cars in an area they only need to be safe with respect to each other and all the humans will need to learn to adapt to them now go drive in downtown New York oh yeah that's already you can talk about ..."
In this segment, Hotz discusses the potential for monetizing the data collected by Comma.ai. He shares his vision for creating a consortium where automakers can access valuable driving data, while also expressing skepticism about the traditional business development processes in the automotive industry.
"gonna disable no safety features in the car um actually I think it'd be really cool we're doing right now our project this week is we're analyzing the data set and looking for all the AEP triggers fro..."
Hotz reflects on the difficulties of engaging with traditional automakers and their business development teams. He emphasizes the need for straightforward communication and the challenges of working with companies that may not understand the technical aspects of his work.
"not gonna be the email the email is gonna be hey do you have some time in the next month where we can sit down and we can I don't have time for that we're moving too fast yeah you could politely respo..."
Hotz shares his confidence in the advancements of OpenPilot, discussing the upcoming release and its capabilities. He highlights the importance of machine learning in improving the system and invites listeners to experience the improvements firsthand.
"else's not so maybe not Tesla's I think Tesla has similar stuff to us actually yeah I think Tesla's similar stuff but when you compare it to like what the Toyota Research Institute has you're not even..."
Hotz outlines his long-term vision for Comma.ai, including the potential to enter the car insurance market. He discusses how the data collected can be used to create safer driving environments and the unique position Comma.ai holds in the industry.
"how else did I get that model good one of the things too about the simulator oh yeah yeah this is super exciting that's super exciting and uh but like you know I listened to your talk with Kyle and Ky..."
In this closing segment, Hotz reflects on the competitive landscape of autonomous driving technology. He discusses the lack of serious competitors in the lane-keeping space and the innovative approaches that Comma.ai is taking to differentiate itself in the market.
"is that that's right so you you know a musk who else who else is thinking like this and working like this in your view who are the competitors are there people seriously I don't think anyone that I'm ..."
George Hotz credits Elon Musk for paving the way for Comma.ai's development, particularly through discussions about the use of cameras over lidar for autonomous driving. He critiques the reliance on lidar, calling it a 'crutch' and discusses its limitations in the context of current technology.
"crutch see sometimes we'll say dumb things like the driver monitoring thing but sometimes we'll say absolutely completely 100% obviously true things yeah of course lidar is a crutch it's not even a go..."
Hotz elaborates on the shortcomings of lidar technology in autonomous vehicles, arguing that it primarily serves localization rather than perception. He discusses the challenges of achieving centimeter-level accuracy without lidar and the implications for self-driving technology.
"under tree cover and stuff flatter I can do it pretty easily see really they're not taking on I mean in some research they're doing they're using it for perception but and they're certainly not which ..."
In this segment, Hotz compares Waymo and Cruise, asserting that Waymo is currently ahead in technology but has overspent. He discusses the lack of a network effect in self-driving cars and how this affects competition, emphasizing the financial challenges faced by autonomous vehicle companies.
"about the long game if everybody fell five is a lot is requires fifty years I think when will be the only one left standing at the end with the forgiving the financial backing if they have Google box ..."
Hotz explains the first mover advantage in ride-sharing markets, highlighting how companies like Uber have established a balance between drivers and riders. He contrasts this with the autonomous vehicle market, which lacks similar dynamics and faces different challenges.
"drivers and you have riders self-driving cars you have capital and you have riders there's no network effect if I want to blanket a new city in self-driving cars i buy the off-the-shelf Chinese knocko..."
Hotz discusses the difficulties of scaling autonomous vehicle technology, emphasizing the capital investment required and the potential for commoditization. He draws parallels to the scooter market, suggesting that the self-driving car industry may face similar challenges.
"carefully balance a market there's a great first mover advantage because there's a switching cost for everybody right the drivers and the riders would have to switch at the same time let's even say th..."
In this segment, Hotz breaks down the driving challenges into static and dynamic problems. He explains how static driving can be managed with mapping and localization, while dynamic driving involves real-time detection and prediction of other vehicles' behaviors.
"why you have 10 different scooter companies yeah which one's gonna win it's a race to the bottom it's terrible market to begin because there's no market for scooters and scooters don't get a say and w..."
Hotz introduces the concept of counterfactuals in driving scenarios, discussing the need for reinforcement learning to navigate complex interactions with dynamic objects. He emphasizes the importance of understanding human behavior in autonomous vehicle development.
"how you beat uber the the human driven cars in terms of financially it doesn't it doesn't make sense to me that people want to want to get an autonomous vehicle I don't understand how you make money i..."
Hotz expresses frustration with the safety-first approach of regulatory bodies, arguing that it stifles innovation in the autonomous vehicle sector. He discusses the balance between safety and the need for exploration in developing effective autonomous systems.
"mo they put Cruz is three years behind way mo hmm that means Google will get a monopoly on the technology for at most three years and technology works you might not even be right about the three years..."
Hotz explains how reinforcement learning can be applied to improve autonomous driving systems without compromising safety. He discusses the importance of human oversight in the learning process and how mistakes can be used to enhance system performance.
"seriously mess up for us because you're okay so the way you leapfrog right is you come up with an idea or you take a direction perhaps secretly that the other people aren't taking and so cruise way mo..."
In this segment, Hotz addresses the role of human drivers in the context of autonomous systems, emphasizing their importance in ensuring safety and reliability. He critiques the notion that human factors will become irrelevant as technology advances.
"conditions really well or revolutionist simulation to where the the what you said before becomes incorrect that kind of thing I knew room for breakthrough innovation um what I said before about oh the..."
Hotz discusses the importance of clear messaging for autonomous vehicle companies, particularly regarding their current capabilities and safety models. He reflects on the evolution of Comma.ai's messaging and the need for transparency in communicating with users.
"right because then you know the speed they go at so so that's the static driving problem Maps only helps you with the static driving problem yeah the question about static driving yeah you just made i..."
George Hotz discusses the importance of human engagement in autonomous driving systems, emphasizing that human oversight is crucial for reinforcement learning. He highlights the need for driver monitoring to ensure that users remain attentive while using systems like OpenPilot, which is currently a level 2 automation system.
"wanted to take this exit and it went straight so I'm just gonna carefully touch the wheel humans the humans catch them and the human disengagement is labeling that reinforcement learning in a complete..."
Hotz expresses pride in Comma.ai's level 2 automation status, clarifying that achieving level 4 autonomy requires new hardware and careful planning. He acknowledges past messaging issues but emphasizes the importance of a rigorous safety model and clear communication with users about the system's capabilities.
"chance to talk to you on and and he he basically said that the human factor doesn't matter you know the human doesn't matter because the system will perform there would be sort of a sorry to use the t..."
In this segment, Hotz outlines the safety protocols of OpenPilot, including the necessity for drivers to maintain attention and the ability to regain manual control at any time. He discusses the importance of torque limits and the open-source nature of their code, which adheres to automotive coding standards.
"level 2 and we have a rigorous safety model I mean not like like okay rigorous who knows what that means but we at least have a safety model and we make it explicit is in safety MD and open pilot and ..."
Hotz shares his respect for automotive coding standards like MISRA, acknowledging the expertise behind them. He discusses the importance of compliance and how it contributes to the safety and reliability of autonomous driving systems, emphasizing the need for rigorous engineering practices.
"communicated to our users two more things one is the user must be able to easily take control of the vehicle at all times mm-hmm so if you step on the gas or brake with open pilot it gives full manual..."
Hotz explains his role at Comma.ai, likening it to an unelected presidency in a small dictatorship. He discusses the company's current focus on improving their technology and achieving financial stability, while also being transparent about their revenue model and product offerings.
"lot of experience there's sometimes a little too cautious but in this case it pays off miss was written by like computer scientists and you tell them as a language they use you can tell by the languag..."
Hotz reflects on his relationship with fame, expressing a desire for recognition from skilled individuals rather than the masses. He identifies the importance of respect from peers in the engineering community and shares his admiration for notable figures in the tech industry.
"and then one that works it works in each scale our burn rate is about 200k a month and our revenue is about 100k a month so we need to 4x our revenue but uh we haven't like tried very hard at that yet..."
In this segment, Hotz discusses the value of skill and expertise over fame. He names respected engineers and innovators, emphasizing the importance of learning from others and acknowledging the potential for being wrong in his own approaches.
"yeah I did it once I almost regret it doing the first of it well on a small tangent what's your you seem to not like Fame and yet you're also drawn to fame what were you on we're on you where are you ..."
Hotz shares insights on the competitive landscape of autonomous driving, discussing different approaches taken by companies like Pronto and Embark. He emphasizes the importance of creating value today and the role of driver monitoring in enhancing safety.
"respect the people who are like writing the infrastructure of the world like the linus torvalds and the chris lab they're doing the real work I know they're doing the real work this every dog that Chr..."
Hotz elaborates on the business models that create immediate value in the autonomous vehicle space, particularly through driver monitoring systems. He discusses the potential for reducing accidents and improving safety through innovative technology.
"not even a company at that point like I don't think of it like I don't personify it I think of it like an object but a trucker drives for a fleet maybe that has like some truckers are independent some..."
Hotz explains his approach to understanding driving behavior through extensive video analysis. He discusses the importance of observing real-world scenarios to improve the learning algorithms of autonomous systems and enhance their decision-making capabilities.
"driver monitoring - yeah which I think actually were the short-term value if you can get right I still I'm not a huge fan of the statement that everything is to have driver monitoring but will I agree..."
Hotz addresses the ethical implications of autonomous driving, particularly the trolley problem. He humorously discusses how their system is designed to disengage in ethical dilemmas, leaving the decision-making to human drivers, highlighting the complexities of programming ethics into AI.
"fact I usually like when I eat lunch I'll sit especially when the weather is good and just watch pedestrians with an eye to understand like from a computer vision I just to see can this model can you ..."
Hotz discusses the security challenges faced by autonomous vehicles, including the risks of hacking and the importance of designing systems that prioritize safety. He emphasizes that safety should not rely on external communication and should be managed through local sensors.
"it nice escape route okay but proud level - I'm proud level - I love it so the other thing that people cope you know have some concern about with AI in general is hacking so how hard is it do you thin..."
In this segment, Hotz critiques the concept of teleoperation in autonomous vehicles, arguing that safety should not depend on constant communication. He discusses the potential benefits of vehicle-to-infrastructure communication while maintaining that safety must be a primary design consideration.
"AI too so let's think out of the box and some things so do you think teleoperation has a role in any of this so remotely stepping in and controlling the cars no I think that if safety if the safety op..."
Hotz reflects on the meaning of work in his life, suggesting that it provides purpose. He humorously addresses the idea of AI girlfriends, expressing a serious interest in forming deep connections with AI, and explores the implications of such relationships.
"mean that like I think that what gives my life meaning is work I don't mean that every minute of the day you should be working I actually think this is not the best way to maximize results I think tha..."
This segment features Hotz's thoughts on the future of virtual reality and its potential to create immersive experiences, including VR brothels. He discusses the implications of these technologies on human relationships and the nature of intimacy in a digital age.
"but there's I don't know if you've watched it just watched the black mirror episode i watch the one year yeah yeah oh the the Ashley - one way da no where there's two friends were having sex with each..."
Hotz shares his vision of a future where humans merge with machines, contemplating the nature of relationships with AI. He reflects on the idea of a monogamous relationship with a machine and how this could redefine human connection and understanding.
"yeah I would really like to fall in love with with with the machine do you see yourself having a long-term relationship of the kind monogamous relationship that we have now with a robot with a a AI sy..."
In this thought-provoking segment, Hotz discusses the concept of the singularity and its potential timeline. He speculates on the future of AI surpassing human intelligence and the societal shifts that may accompany this monumental change.
"oh you don't think there's room for another human in your life if you really truly merge with another machine I mean I see merging I see like the best interface to my brain is like the same relationsh..."
Hotz reflects on the meaning of life and what it means to 'win.' He discusses the uncertainty of purpose and the pursuit of knowledge, emphasizing the importance of understanding one's goals and the mathematical approach to maximizing life's potential.
"horrify but if I am with somebody and I'll use a somebody who is making a super sophisticated model of me and then running simulations on that model I'm not gonna get into the question whether the sim..."