YouSaid · the spoken record

Wojciech Zaremba

lines on the record
186
first
2021-08-29
most recent
2021-08-29
sittings or episodes
1
sources
podcast

Every line below is reproduced as it was said and linked to the record it came from. Nothing here is summarised or generated. Directory · Search · Corrections

  1. “Yeah, I mean, the question is, will VR be sufficient to get us there, or do you need to plug electrodes in the brain? And it would be nice if these electrodes wouldn't be invasive.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  2. “I still would like to at least at the moment my impression is that I would like to have a physical contact with others. We don't have a way to replicate it in the computer. It might be the case that over the time it will change.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  3. “So, my intuition is that from perspective of the evolution of these AI systems, we'll at first see the tremendous progress in digital space. And the main thing about digital space is also that you can, everything is, there is a lot of recorded data. Plus, you can very rapidly deploy things to billions of people. While in case of physical space, the deployment part takes multiple years. You have to manufacture things and delivering it to actual people is very hard. So I'm expecting that the first and the prices in digital space of goods, they would go down to, let's say, marginal cost or to zero.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  4. “What happens, and I mean, in some sense, that's actually what happens over the years in AI that we get used to things very quickly.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  5. “Exactly. Would be quite impressive. I mean, the tricky part about the benchmarks is, you know, as we are getting closer with them, we have to invent new benchmarks. There is actually no ultimate benchmark out there.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  6. “So it would be nice, for instance, Machine would be able to solve Riemann hypothesis in math. Would be, I think that would be very impressive.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  7. “Programmers, but like some of them, you know, they came with a But then you try it out and you think, actually, that's cool. And you can try to resist the same way as you could resist moving from punch cards to, let's say, C++ It's a little bit futile.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  8. “It's actually even similar when I'm thinking about Copilot, the GitHub Copilot. There was a spectrum of responses that people had. And ultimately, the important piece was to let people try it out. And then many people just loved it.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  9. “Yeah, I would say I believe that the part of the process of deployment is actually showing people that the given things can be trusted. To trust is also like a glass that is actually Really easy to crack And damage it. And I think that's actually very common. Innovation that there is some resistance toward it. And it's just a natural progression. So, in some sense, people will have to keep on proving that indeed these systems are worth being used. And I would say I also found out that often the best way to convince people is by letting them experience it.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  10. “I believe that's the way to go. So, in some sense, even when I was speaking about collecting trajectories from humans, that's like a first step. And then you deploy the system and then you have humans revising all the issues. And in some sense, This approach converges to a system that doesn't make mistakes because for the cases where there are mistakes, you got their data how to fix them and the system will keep on improving”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  11. “I think it goes beyond a college in avoidance is the first order approximation. But then at least in case of TESA, they are gathering data from people driving their cars. And I believe that's an example of supervised learning data that they can train their models on. And they are doing it, which can give a model this another level of behavior that is needed to actually interact with the real world.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  12. “Well, you know, welding cars together is a very repetitive process. Then in case of self-driving itself, the difficulty has to do with the diversity of the environment, but still the car itself, the problem that you are solving is you try to avoid even interacting with things. You are not touching anything around because touching itself is hard. And then if you would have in the home robot that has to touch things and like if these things, they change the shape, if there is a huge variety of things to be touched. That's difficult. If you are speaking about the robot, which there is head that is smiling in some way with cameras, that doesn't touch things, that's relatively simple.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  13. “So, the tricky part when you think actually what's the difficult part is when the robot has when there is a diversity of the environment with which the robot has to interact, that becomes hard. So on one spectrum, you have industrial robots, as they are doing over and over the same thing. It is possible to some extent to prescribe the movements. And with very small amount of intelligence, the movement can be repeated millions of times. There are also various pieces of industrial robots where it becomes harder and harder. For instance, in case of Tesla, it might be a matter of putting a rug inside of a car. And because the rug kind of moves around, it's not that easy. It's not exactly the same every time. It ends up being the case that you need actually humans to do it.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  14. “That could be. I also want to give you a perspective on how challenging it would be at home or maybe kind of depends on the exact problem that you'd be solving. If we are speaking about this robotic arms and hence these things, they cost tens of thousands of dollars or maybe 100k. Maybe obviously, maybe if there would be economy of scale, these things would be cheaper, but actually for any household to bite, the price would have to go down to maybe thousand bucks.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  15. “Correct, correct So, I would record data and then I would essentially train supervised learning model on it. That might be the path today. Long term, I think that actually what is needed is to train powerful models over video. So you have seen maybe models that can generate images like DALI. People are looking into models generating videos. They're like various algorithmic questions, even how to do it. And it's unclear if there is enough compute for this purpose. But I suspect that the models which would have a Level of understanding of video, same as GPT has the level of understanding of text, could be used to train robots to solve tasks. They would have a lot of common sense.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  16. “That's correct. So let's say that's how I would build robotics company today I would be building a robotics company, which is spend $10 million or so recording human trajectories controlling a robot.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  17. “And also, there is actually one more thing which is tricky about robots, there is actually not much data. So the data that I'm speaking about would be a data of first person experience from the robot. Like a gigabytes of data like that. If we would have gigabytes of data like that of robot solving various problems, it would be very easy to make a progress on robotics. And you can see that in case of text or code, there is a lot of data, like a first-person perspective, data on writing code.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  18. “Maybe local GPU as well. And because of that, there was less of a latency and the model was the same. And that actually made solving Ruby's cube more reliable. So in some sense, there might be some saddlebacks like that when it comes to running things in the real world. Even hinting on that, you could imagine that the initial models you would like to have models which are insanely huge neural networks. You would like to give them even more time for thinking. And when you have these real time systems, then you might be constrained actually by the amount of latency. And ultimately, I would like to build a system that it is worth for you to wait five minutes because it gives you the answer that you are willing to wait for five minutes.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  19. “So, the hardest part is At the moment when it comes to physical world, when it comes to robots, they require maintenance. It's hard to replicate them million times. It's also hard to replay things exactly. I remember this situation that one guy at our company, he had like a model that performs way better than other models in solving Ruby's cube. And we kind of didn't know what's going on, why it's that. And it turned out that he was running it from his laptop that had better CPU”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  20. “So, you know, there's plenty of parameters out there. We just pick them randomly and in simulation model just goes for thousands of years and keeps on solving Rubik's cube in each of them. And the thing is the neural network that we used, it has a memory. And as it presses, for instance, the side of the cube, it can sense, oh, that's actually this side was difficult to press. Should press it stronger, and throughout this process, kind of learns even how to solve this particular instance of the Rubik scoop back event. It's kind of like a, you know, sometimes when you go to a gym and after bench press, you try to lift the glass and you kind of forgot and your hand goes like it. Up right away because kind of you got this to maybe different weight and it takes a second to adjust.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  21. “We decided to go through the path of the simulation, and in simulation, you can have infinite amount of data. The tricky part is the fidelity of the simulation and also can you in simulation represent everything that you represent otherwise in the real world? And it turned out that because there is lack of fidelity, it is possible to, what we arrived at is training a model that doesn't solve one simulation, but it actually solves the entire range of simulations which vary in terms of what's the exactly the friction of the cube or the weight or so and the single AI that can solve all of them ends up working well with the reality.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  22. “Obviously, we have a strong belief in reinforcement learning. And one path it is to do reinforcement learning in the real world. Other path is to the simulation. In some sense, the tricky part about the real world is at the moment our models, they require a lot of data. There is essentially no data”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  23. “And we conclude that human hands have such a quality that indeed they are, you know, you have five kind of tiny arms attached. Individually, they can manipulate pretty broad spectrum of objects. So we went after single hand, like trying to solve Ruby's single-handed. We picked this task because we thought that there is no way to hard code it. And also we picked a robot on which it would be hard to hard code it. And we went after the solution such that it could generalize to other problems.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  24. “Then we went after the problem. So we noticed that actually the robots out there, they are kind of at the moment optimized per task. So you can have a robot that is like if you have a robot opening a battle, it's very likely that the end factor is a battle opener. And in some sense, that's a hack to be able to solve a task, which makes. Any task easier and ask myself so what would be a robot that can actually solve many tasks?”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  25. “So, when we start at robotics, we knew that actually reinforcement learning works and it is possible to solve very complicated problems. Like, for instance, AlphaGo is an evidence that it is possible to build superhuman Go players. Dota 2 is an evidence that it's possible to build superhuman agents playing Data. So I ask myself a question, you know, what about robots out there? Could we train machines to solve arbitrary task in the physical world? Our approach was, I guess, let's pick a complicated problem that We would solve it, that means that we made some significant progress in the domain.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  26. “Long term cost or maintenance, or maybe even flexibility of code to actually implement new ideas. So even if you have something that gives you 2x, but it requires 1,000 lines of code, I'm not sure if it's actually worth it. So in some sense, if it's five lines of code and 2x, I would take it And we see many of this, but also that requires some level of. Guess lack of attachment to code that we are willing to remove it.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  27. “Yeah, they might be temporary things. And in some sense, it's also even important to. Know that even the cost of a trick. So sometimes people are eager to put the trick while forgetting that there is a cost of maintenance.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  28. “So let's see. I mean, ultimately, the core idea behind will be simple, but there will be also a decent amount of engineering involved. In some sense, Seems that spreading these models on many machines, it's not that trivial. And we find all sorts of innovations that make our models more efficient. I believe that first models I guess our conscience are like a truly intelligent, they will have all sorts of tricks.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  29. “You could imagine Maybe there are ways for model to write event code for testing itself and so on. And there exists ways to create the feedback loops that the model could keep on improving.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  30. “So, I wouldn't start with controlling nuclear power plants. Can I be one day? But that's not actually the current roadmap. That's not the step”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  31. “In some sense, it seems to me that we will be able to make a tremendous progress. We are in the paradigm that there is way more data, there is like a Transcription of millions of software engineers.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  32. “So, for the language, the simulation to actually execute it as a human mind. Programs, there is a computer on which you can evaluate it.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  33. “One more exciting thing about the programs is that so I said that in case of language that one of the travels is even evaluating language. So when the things are made up, you need somehow A human to say that this doesn't make sense, or so in case of program, there is one extra lever that we can actually execute programs and see what they evaluate to. So the process might be somewhat more automated in order to improve the qualities of generations.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  34. “I'm just saying there are multiple teams while the team working on Codex and Language, I guess I'm directly managing them. I would love to hire more people.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  35. “Correct, and they are quite intertwined. There are many more teams involved making these models extremely efficient and deployable. For instance, there are people who are working to make our data centers amazing or there are people who work on putting these models into production or even pushing it at the very limit of the scale.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  36. “I would like, for instance, biologists who work on DNA to be able to program and not to need to spend a lot of time learning it. And I believe that's a good thing to the world. And I would actually add, I would add. So at the moment, I'm a managing Codex team and also language team. And I believe that there is plenty of brilliant people out there and they should apply.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  37. “Hard to imagine now if someone will tell you that you should write code in assembly instead of, let's say, Python or Java or JavaScript. And Codex is yet another step toward kind of bringing computers closer to humans, such that you communicate with a computer with your own language rather than with a specialized language. And I think that it will lead to increase of number of people who can code.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  38. “And during that time, there was a small number of specialists who were able to use computers. And by the way, people even suspected that there is no need for many more people to use computers. But then we moved from punch cards to at first assembly, then C. And these programming languages, they were slightly higher level. They allowed many more people to code. And they also led to more of a proliferation of technology. Further on, there was a jump to say from C++ to Java and Python. And every time it has happened, more people are able to code and we build more technology. And it's even, you know,”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  39. “You could imagine that that allows events to do coding by voice on your phone So, for instance, in the past, as of today, I'm not editing Word documents on my phone because it's just the keyboard is too small. But if I would be able to tell to my phone, you know, make the header large. Move the paragraphs around, and it does actually what I want. So I can't tell you one more cool thing, or even how I'm thinking about Codex. So if you look actually at the evolution of computers, we started with very primitive interfaces, which is a punch card. And punch card essentially, you make a hole in the plastic card to indicate zeros and ones.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  40. “And that's somewhat like also closest to what was the promise of Siri or Alexa. So previously, all these behaviors were hard coded. And it seems that Codex on the fly can pick up the API of, let's say, a given software. And then it can turn language into use of this API.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  41. “So there is a way, in a sophisticated way to control calendar. Microsoft Word. Today, if you want more complicated behaviors from these programs, you have to add a new button for every behavior. But it is possible to use Codecs and tell, for instance, to calendar, could you schedule an appointment with Lex next week after 2 p.m. And it writes corresponding piece of code. And that's the thing that actually you want.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  42. “Correct. So for instance, when you search things online, then usually you get to some particular case. Like if you go to Stack Overflow, people describe one particular situation. And then they seek for a solution. But in case of co pilot, it's aware of your entire context. And in context is, oh, these are the libraries that they are using. That's the set of the variables that is initialized. And on the spot, it can actually tell you what to do. So the interesting thing is, and we think that the co-pilot is one possible product using Codex, but there is a place for many more. Internally, we tried out to create other fun products. So it turns out that a lot of tools out there, let's say Google Calendar or Microsoft Word or so, they all have internal API to build plugins around it.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  43. “Next. So these days, when I code, instead of going to Google to search for the appropriate code to solve my problem, I say, oh, for this array, could you smooth it? And then it imports some appropriate libraries and say it uses numPy convolution or so that I was not even aware that exists and it does the appropriate thing.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  44. “Language Also, optimized for various things like, let's say, low latency and so on. Codex is the API similar to GPD3. We expect that there will be proliferation of the potential products that can use coding capabilities. And I can speak about it in a second. Copilot is a first product and developed by GitHub. So as we're building models, we wanted to make sure that these models are useful. And we work together with GitHub on building the first product. Copilot is actually SEO code. It suggests you code completions. And we have seen in the past, there are like a various tools that can suggest how to view characters of the code or the line of code. The thing about Copilot is it can generate 10 lines of code. It's often the way how it works is you often write in the comment what you want to happen because people in comments, they describe what happens.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  45. “So we've GPT3, we noticed that the system trained on all the language out there started having some rudimentary coding capabilities. So we're able to ask it to implement addition functions between two numbers. And indeed, it can write Python or JavaScript code for that. And then we thought we might as well just go full steam ahead and try to create a system that is actually good at what we are doing every day ourselves, which is programming. We optimize models for proficiency in coding. We actually even created models that both have a comprehension of language and code. And Codex is API for these models.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  46. “So, I think that is true. I mean, what I also recognize in myself and others even asking this question is that it evokes a lot of fear. And the fear itself ends up being actually quite dehabilitating. The place where I arrived at the moment. Might sound cheesy or so, but it's almost too. Build things out of love rather than fear I can focus on how I can maximize the value, how the systems that I'm building might be useful. I'm not saying that the fear doesn't exist out there, and it totally makes sense to minimize it, but I don't want to be working because I'm scared. I want to be working out of passion, out of curiosity. Out of the looking forward for the positive future.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  47. “I like these statements. To be clear, this is interesting, and I'm thinking about it myself, but this is a place that I put my trust actually in some sense because it's extremely hard for me to reason about it.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  48. “So let's see. I have been thinking about this topic quite a bit, but I also want to admit that once again, I actually want to rely way more on Sam Altman on it. Hero than an excellent block on how even to distribute wealth. And he proposed in his blog to tax equity of the companies rather than profit and to distribute it. And this is an example of Washington Muff. I guess I personally have insane trust in some. He already spent plenty of money running universal basic income project. Gives me, I guess, maybe some level of trust to him, but I also, I guess love him as a friend.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  49. “So, I believe that he won at some point to work toward distributing the power. I think that you want to be in that situation that actually AGI is not controlled by a small number of people, but essentially by a larger collective.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source

  50. “Yeah, I mean, so when I'm thinking from perspective of kind of like obviously various people that have concerns about AGI, including myself, when I'm thinking from perspective, what's the strategy even to deploy these things to the world, the one strategy that I have seen many times working is the iterative deployment that you deploy slightly better versions and you allow other people to criticize you so you actually are try it out you see where are their fundamental issues and it's almost you don't want to be in that situation that you are holding into Powerful system, and there's like a huge overhang, then you deploy it and it might have a random chaotic impact on the world. So you actually want to be in that situation that you are gradually deploying systems.”

    2021-08-29 · Lex Fridman Podcast · #215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI · IDENTIFIED FROM THE TRANSCRIPT · source