robotics
Machines that act in the world: humanoids, training data for robots, and how far behind language models they run.
FilterEveryone, all time
- FL
Fei-Fei Li quoted
Our readingThe biggest problem in robotics today is data, not chips; chips become the bottleneck later.
Their wordsWe should zoom out and recognize the biggest problem right now in robotics is actually data. One day it'll be chips, but for now it's data.
↗Why Fei-Fei Li Is Betting on Spatial Intelligenceyoutube.com 8th of 13 in this recording
- FL
Fei-Fei Li quoted
Their wordsThere is also a very important step called randomization. Is that you have to take the same environment and then randomize the conditions. So, the cable doesn't literally only, you know, uh bend this way. It can bend a different way or the box can have different sizes, colors, different lids, and all that.
↗Why Fei-Fei Li Is Betting on Spatial Intelligenceyoutube.com 9th of 13 in this recording
- FL
Fei-Fei Li quoted
Their wordscuz we don't yet have a a frontier foundation model that's robust enough for for uh robotics.
↗Why Fei-Fei Li Is Betting on Spatial Intelligenceyoutube.com 10th of 13 in this recording
- 2 weeks earlier
- EM
Elon Musk quoted
Our readingHumanoid robots paired with AI will eventually deliver medical care to everyone on Earth.
Their wordsOne day, Optimus + Grok will provide incredible medical care to all the people of Earth
- 5 days earlier
- IT
Isaiah Taylor quoted
Their wordsIf you keep asking this question, what you realize is energy is the fundamental input. When we figure out AI and robotics that allows us to do semi-aututonomous manufacturing, energy will become the cost of all things, right? The cost of buying a thing will become the cost of energy used to make it.
↗How Nuclear Will Unlock Energy Abundance with Valar Atomics Founder Isaiah Tayloryoutube.com 18th of 18 in this recording
- 1 day earlier
- TK
Travis Kalanick quoted
Their wordsIf you're doing highcale tasks, industrial scale tasks, you are going to make specialized machines that move and act in the physical world. The key part is move. If they're moving, they got to have wheels.
↗Travis Kalanick: How AI Will Transform the Physical Worldyoutube.com 4th of 14 in this recording
- 2 days earlier
- CF
Chelsea Finn quoted
Their wordsUm, and while this generally improves the reliability of the model, uh, people eventually get tired and it's hard to get really, really high reliability with a person that's manually tuning this. And so what would be even better is if the AI system itself can iterate on the scenario in which you want it to have higher reliability where it on its own automatically seeks out places where it needs more data, where it needs more supervision.
↗Chelsea Finn: This is the State of the Art in Roboticsyoutube.com 3rd of 22 in this recording
- CF
Chelsea Finn quoted
Their wordsNow maybe this isn't completely out of the question but this would be quite challenging uh to do and that's because the calculus is a little bit different. We're not just running compute to optimize for a use case. We're actually running the robot in the real world and using the hardware and attempting the task in the real world.
↗Chelsea Finn: This is the State of the Art in Roboticsyoutube.com 4th of 22 in this recording
- CF
Chelsea Finn quoted
Their wordsand trying to fold two boxes together isn't useful data that will teach the model how to get better at the task. And so that would be kind of wasting a lot of time on the robot attempting to go down the wrong path for solving the problem. And so instead of spending a lot of time trying to do that task, what we'll do is we'll actually have a human intervene and show the robot what to do and how to recover from that situation.
↗Chelsea Finn: This is the State of the Art in Roboticsyoutube.com 5th of 22 in this recording
- CF
Chelsea Finn quoted
Their wordskind of going back to this reliability question, we took this policy and we ran it not just once, but we ran it for 13 hours straight. Uh and we basically wanted to evaluate is this policy not only good at making a latte once, but can it do so reliably to the extent that it would be needed to be useful in the real world?
↗Chelsea Finn: This is the State of the Art in Roboticsyoutube.com 6th of 22 in this recording
- CF
Chelsea Finn quoted
Their wordsSo, you might be surprised to hear that most state-of-the-art foundation models for robotics have no memory or no context. They're just operating on the current sensor observations, the current camera readings, uh, and predicting actions based off of that.
↗Chelsea Finn: This is the State of the Art in Roboticsyoutube.com 7th of 22 in this recording
- CF
Chelsea Finn quoted
Their wordsAnd then for longer memory, for memory that spans multiple minutes or multiple hours, we don't necessarily need video of exactly what happened in that past uh in that past history.
↗Chelsea Finn: This is the State of the Art in Roboticsyoutube.com 8th of 22 in this recording
- CF
Chelsea Finn quoted
Their wordswe see that the across the board the single PIO like pre-trained PIO7 model matches or outperforms the fine-tuned specialists that were developed with reinforcement learning post-training for those downstream tasks.
↗Chelsea Finn: This is the State of the Art in Roboticsyoutube.com 11th of 22 in this recording
- CF
Chelsea Finn quoted
Their wordswe find that the performance on held out tasks decreases dramatically. Whereas if we um just take out a random 20% of the data that's less diverse than the most diverse subset, the performance um only decreases a little bit. And so this suggests that actually having really diverse data plays an important role in enabling it to generalize to new tasks.
↗Chelsea Finn: This is the State of the Art in Roboticsyoutube.com 12th of 22 in this recording
- CF
Chelsea Finn quoted
Their wordswithout metadata prompting when you add lower quality data from 80% data to 100% data the performance actually decreases which is perhaps not too surprising because you're adding lowquality data to your data mixture whereas with the metadata prompting the performance actually increases when you add that lowquality data
↗Chelsea Finn: This is the State of the Art in Roboticsyoutube.com 13th of 22 in this recording
- CF
Chelsea Finn quoted
Their wordsI think that the distribution channel for physical models is going to be slower uh unfortunately because you actually need a physical robot there
↗Chelsea Finn: This is the State of the Art in Roboticsyoutube.com 14th of 22 in this recording
- CF
Chelsea Finn quoted
Their wordsat the same time in terms of the capabilities of these models I think that we are really starting to get to the point where these models are actually useful in the real world and I think that getting to the kind of the capabilities of chat GBT I think is um yeah very much on the horizon in the next few years.
↗Chelsea Finn: This is the State of the Art in Roboticsyoutube.com 15th of 22 in this recording
- CF
Chelsea Finn quoted
Their wordsUh and just like how we see in language models how now a lot of time is spent actually generating data, generating synthetic data by actually running the model and having it think through things. I think a lot of the data in the future in robotics is going to be the robot attempting to do lots of tasks in lots of real world circumstances.
↗Chelsea Finn: This is the State of the Art in Roboticsyoutube.com 18th of 22 in this recording
- CF
Chelsea Finn quoted
Their wordsUh and likewise um robots can't like watch a person doing something and then figure out how to do it themselves directly. They really need their experience on their own platform um to learn effectively.
↗Chelsea Finn: This is the State of the Art in Roboticsyoutube.com 19th of 22 in this recording
- CF
Chelsea Finn quoted
Their wordsuh the we found that that leads to improvement and we saw in the shirt folding example we saw like a quantitative bump from using that sort of imagination compared to not using it. At the same time I think that the model actually performed surprisingly well without that as well.
↗Chelsea Finn: This is the State of the Art in Roboticsyoutube.com 20th of 22 in this recording
- CF
Chelsea Finn quoted
Their wordsand yeah, I think it's either you need to figure out how to make the data faster or you need to figure out how to be faster than the data. We've seen the evidence of being able to be a little bit faster than the data.
↗Chelsea Finn: This is the State of the Art in Roboticsyoutube.com 21st of 22 in this recording
- CF
Chelsea Finn quoted
Their wordsUm the robot essentially had learned this sort of equivariance between his left hand and his right hand so that it could actually transfer uh behaviors from one hand to another. uh despite the fact that that was never in the data.
↗Chelsea Finn: This is the State of the Art in Roboticsyoutube.com 22nd of 22 in this recording
- 1 day earlier
- RG
Ryan Greenblatt quoted
Their wordsLike I think my perspective is like if the AIs are sufficiently good at R&D including hardware R&D, robots, whatever, then they can radically transform the world even if they're not that good at playing politics.
↗Ryan Greenblatt – What happens once AI can automate AI research?youtube.com 11th of 26 in this recording
- 8 days earlier
- DD
Dmitri Dolgov quoted
Their wordsGiven the high cost of errors, you need to have a very high level of safety and a very high level of confidence on day one before you deploy your first robot, before you drive your your first autonomous mile.
↗Waymo Co-CEO Dmitri Dolgov: The Demo Is Only 1% Of The Workyoutube.com 4th of 22 in this recording
- DD
Dmitri Dolgov quoted
Their wordsSo, betting your company, betting your approach on today's hardware prices is just betting your company on a number that has a fairly short shelf life and is going to expire.
↗Waymo Co-CEO Dmitri Dolgov: The Demo Is Only 1% Of The Workyoutube.com 12th of 22 in this recording
- 8 days earlier
- JH
Jensen Huang quoted
Their wordsI would say the chat GPT moment of robots happened a couple of years ago already.
↗Jensen Huang: The Mindset That Built NVIDIAyoutube.com 15th of 20 in this recording
- 2 weeks earlier
- BS
Balaji Srinivasan quoted
Their wordsUnfortunately, no, because politics is about people who disagree with you. If you’re working with computers, or robots, or pure math, you don’t have politics.
↗The Network Statethenetworkstate.com 9th of 25 in this piece
- 5 days earlier
- BT
Brad Templeton quoted
Their wordsSeveral companies have tried to declare they met a major milestone by having "nobody behind the wheel" and moving supervision to the passenger seat. It's a bad idea
↗Robotaxi Companies Need To Stop It With The Right Seat Safety Driversideas.4brad.com
- BT
Brad Templeton quoted
Their wordsMore data for better comparisons are good. Now everybody has to do it, and regulators and the public have to learn to look at only the data, and not individual incidents
↗Waymo Releases Apples-To-Apples Incident Data, It Speaks To Regulationideas.4brad.com
- 5 weeks earlier
- PT
Phil Trammell quoted
Their wordsIt might be that every robot now can turn into, you know, 100 robots next year, right? So, in units of robots the interest rate is 10,000%.
↗The better AI gets, the smaller its share of the economy might get – Alex Imas and Phil Trammellyoutube.com 23rd of 33 in this recording
- 9 days earlier
- BT
Brad Templeton quoted
Their words13 years ago, at the Wired 2013 event in London, I was asked when robotaxis would arrive there and as a joke, gave an answer of June 22, 2026 that turned out to be impossibly spot on.
- 6 weeks earlier
- BT
Brad Templeton quoted
Their wordsSelf-driving cars seem to be just more cars, and people who dislike cars don't love that. But the electric robotaxi offers much more potential
↗Urbanists Hate Cars. Should They Hate Electric Robotaxis?ideas.4brad.com
- 3 weeks earlier
- JH
Jensen Huang quoted
Their wordsYou know, a lot of people would say, "You know AI is gonna completely destroy software. We don't need software anymore. We don't even need tools anymore." That's ridiculous.
↗Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494youtube.com 6th of 23 in this recording
- 10 days earlier
- DP
Dylan Patel quoted
Their wordsum humanoid robots maybe start to or robotics at least start to but the main factor is going to be for reducing the number of people is modularizing things and making them in factories in Asia
↗Dylan Patel — The single biggest bottleneck to scaling AI computeyoutube.com 22nd of 28 in this recording
- 4 weeks earlier
- DA
Dario Amodei quoted
Their wordsdoes that mean the robotics industry will also be generating trillions of dollars of revenue? My answer there is yes, but there will be the same extremely fast but not infinitely fast diffusion. So, will robotics be be revolutionized? Yeah, maybe tack on another year or two.
↗Dario Amodei — “We are near the end of the exponential”youtube.com 20th of 29 in this recording
- 1 day earlier
- AV
Austin Vernon quoted
Their wordsThe key is that robot arms are not labor-replacing, but labor-shifting.
↗Speed Can Reindustrialize Americaaustinvernon.site 4th of 15 in this piece
- AV
Austin Vernon quoted
Their wordsIt has a surplus of STEM graduates that are often underemployed, while "Hukou" residency restrictions complicate hiring hourly labor in coastal factories.
↗Speed Can Reindustrialize Americaaustinvernon.site 5th of 15 in this piece
- AV
Austin Vernon quoted
Their wordsThe robot arm base case saves some hourly labor at the expense of adding more skilled labor, and can easily be negative if it needs reprogramming more than a few times per year.
↗Speed Can Reindustrialize Americaaustinvernon.site 8th of 15 in this piece
- 5 weeks earlier
- JH
Jensen Huang quoted
Their wordsAnd so I think that I think the first part is that having robotic systems is going to allow us to cover the labor shortage gap which is really really severe and getting worse because of aging population.
↗NVIDIA’s Jensen Huang on Reasoning Models, Robotics, and Refuting the “AI Bubble” Narrativeyoutube.com 4th of 20 in this recording
- JH
Jensen Huang quoted
Their wordsAnd if you look at the robo taxis that are that are even on the streets today, it's taken 10 years for that to happen. Look at all the maintenance crews and all of the the the various, you know, hubs that they're in where you have to take care of these robo taxis and just imagine we have a billion robots.
↗NVIDIA’s Jensen Huang on Reasoning Models, Robotics, and Refuting the “AI Bubble” Narrativeyoutube.com 5th of 20 in this recording
- 7 days earlier
- RB
Rodney Brooks quoted
Their wordsTesla (owned by Tesla) has put on a facade of being operational, but it is not operational in the sense of the other two services, and faces regulatory headwinds that both Waymo and Zoox have long been able to satisfy. They are not on a path to becoming a real service.
↗Predictions Scorecard, 2026 January 01rodneybrooks.com 1st of 3 in this piece
- RB
Rodney Brooks quoted
Their wordsAs with self driving cars, most of the early players in humanoid robots, will quietly shut up shop and disappear. Those that remain will pivot and redefine what they are doing, without renaming it, to something more achievable and with, finally, plausible business cases.
↗Predictions Scorecard, 2026 January 01rodneybrooks.com 2nd of 3 in this piece
- RB
Rodney Brooks quoted
Their wordsSystems which do require remote operations assistance to get full reliability cut into that economic advantage and have a higher burden on their ROI calculations to make a business case for their adoption and therefore their time horizon to scaling across geographies.
↗Predictions Scorecard, 2026 January 01rodneybrooks.com 3rd of 3 in this piece
- 7 days earlier
- MH
Molson Hart quoted
Their wordsEven so, the flexible adaptable human will be working in manufacturing (alongside machines) for decades to come.
↗Chinese Labor Isn't Just Cheaper; It’s Better. We Need to Fix That.molsonhart.com 2nd of 4 in this piece
- 3 months earlier
- SL
Sergey Levine quoted
Their wordsSo to me like what what I tend to think about a lot in terms of timelines is not the date when it will be done but the date when it will when like the flywheel starts basically.
↗Fully autonomous robots are much closer than you think – Sergey Levineyoutube.com 1st of 24 in this recording
- SL
Sergey Levine quoted
Their wordsLike if you answer a question, you just like answered it wrong. It's like well it's not like you can just like go back and like tweak a few things like the person you told the answer to might not even know that it's wrong. Whereas if you're like folding the t-shirt and you messed up a little bit like it's pretty obvious like you can reflect on that, figure out what happened and do it better next time.
↗Fully autonomous robots are much closer than you think – Sergey Levineyoutube.com 2nd of 24 in this recording
- SL
Sergey Levine quoted
Their wordsSo, I think it'll be the same thing that that we'll see an increase in the scope that we're giving that we're willing to give to the robots as they get better and better where initially the scope might be like there is a particular thing you do like you're making the coffee or something. Uh whereas as they get more capable, as their ability to have common sense and a broader repertoire of tasks increases, then we'll give them greater scope. Now you're running the whole coffee shop.
↗Fully autonomous robots are much closer than you think – Sergey Levineyoutube.com 3rd of 24 in this recording
- SL
Sergey Levine quoted
Their wordsUh but it uh I think we kind of like know like roughly the puzzle pieces and it's something that we need to work on and I think if we work on it and we're a bit lucky and everything kind of goes as planned I think single digit is reasonable.
↗Fully autonomous robots are much closer than you think – Sergey Levineyoutube.com 4th of 24 in this recording
- SL
Sergey Levine quoted
Their wordsAnd I think we'll see the same thing with automation where uh basically robot plus human is much better than just human or just robot. Uh and and that just like makes total sense. It also makes it much easier to get all the technology bootstrapped because when it's robot plus human, now there's a lot more potential for the robot to like actually learn on the job, acquire new skills.
↗Fully autonomous robots are much closer than you think – Sergey Levineyoutube.com 5th of 24 in this recording
- SL
Sergey Levine quoted
Their wordsLike now, like basically learning is not for these systems is not just learning from raw actions. It's also learning from words eventually be learning from observing what people do from the kind of natural feedback that you receive when you're doing a job together with somebody else.
↗Fully autonomous robots are much closer than you think – Sergey Levineyoutube.com 6th of 24 in this recording
- SL
Sergey Levine quoted
Their wordsSo, that's not an argument about robotics being easier than autonomous driving. It's just an argument for 2025 being a better year than 2009.
↗Fully autonomous robots are much closer than you think – Sergey Levineyoutube.com 7th of 24 in this recording
- SL
Sergey Levine quoted
Their wordsAnd when you make a mistake and correct it, well, first you you've achieved the task because you've corrected, but you've also gained knowledge that allows you to avoid that mistake in the future. With driving, because of the dynamics of how it's set up, it's very hard to make a mistake, correct it, and then learn from it because the mistakes themselves have significant ramifications.
↗Fully autonomous robots are much closer than you think – Sergey Levineyoutube.com 8th of 24 in this recording
- SL
Sergey Levine quoted
Their wordsuh common sense meaning the ability to make inferences about what might happen uh that are reasonable guesses but that do not require you to experience that mistake and learn and learn from it in advance that's tremendously important and that's something that we basically had no idea how to do uh about 5 years ago but now uh you we can actually use LLMs and VLMs ask them questions and they will make reasonable guesses
↗Fully autonomous robots are much closer than you think – Sergey Levineyoutube.com 9th of 24 in this recording
- SL
Sergey Levine quoted
Their wordsbut um to make robotic foundation models really work it's not just a laboratory science uh kind of experiment. It's also uh it also requires kind of industrial scale uh building effort like it's it's like it's more like the Apollo program than it is like a science experiment
↗Fully autonomous robots are much closer than you think – Sergey Levineyoutube.com 10th of 24 in this recording
- SL
Sergey Levine quoted
Their wordsBut because we don't know the answer to that, to me, a much more useful way to think about it is not how much data do we need to get before we're fully done, but how much data do we need to get before we can get started, meaning before we can get uh a data flywheel that represents a self- sustaining uh and ever growing data collection.
↗Fully autonomous robots are much closer than you think – Sergey Levineyoutube.com 11th of 24 in this recording
- SL
Sergey Levine quoted
Their wordsBut the reason why it's not the most important thing for the kind of skills that you saw when you visited us, it at some level I think it comes back to Moravik's paradox. So Morovik's paradox is basically that it's like you know if you know one thing about if you want to know one thing about robotics it's like that's that's the thing. Morovik's paradox says that basically uh in AI the easy things are hard and the hard things are easy.
↗Fully autonomous robots are much closer than you think – Sergey Levineyoutube.com 15th of 24 in this recording
- SL
Sergey Levine quoted
Their wordsUh so in order to effectively learn from your own experience, it turns out that it's really really important to already know something about what you're doing. Otherwise, it takes far too long.
↗Fully autonomous robots are much closer than you think – Sergey Levineyoutube.com 17th of 24 in this recording
- SL
Sergey Levine quoted
Their wordsI think that it's optimistically that it's actually the other way around that the robotics uh element of the equation will make all the other stuff better. And there are two uh reasons for this that that I could tell you about. One has to do with representations and focus.
↗Fully autonomous robots are much closer than you think – Sergey Levineyoutube.com 18th of 24 in this recording
- SL
Sergey Levine quoted
Their wordsLike people are people and robots are robots. Like the the better analogy for the robot, it's it's like your car or a bulldozer. Uh like uh it has much lower maintenance requirements. You can put them into all sorts of weird places and they don't have to look like people at all.
↗Fully autonomous robots are much closer than you think – Sergey Levineyoutube.com 22nd of 24 in this recording
- SL
Sergey Levine quoted
Their wordsSo traditional robots and factories uh they need to make motions that are highly repeatable and therefore it requires a degree of precision and robustness that you don't need if you can use cheap visual feedback. So AI also makes robots more affordable uh and lowers the requirements on the hardware.
↗Fully autonomous robots are much closer than you think – Sergey Levineyoutube.com 23rd of 24 in this recording
- SL
Sergey Levine quoted
Their wordsrobots help with uh physical things uh physical work. And if producing robots is itself physical work, then getting really good at robotics should help with that. It's a little circular, of course.
↗Fully autonomous robots are much closer than you think – Sergey Levineyoutube.com 24th of 24 in this recording
- 7 weeks earlier
- DH
Demis Hassabis quoted
Their wordsBut it seems like you can understand it through passive observation, which is pretty surprising to me. And again, I think hints at something underlying about the nature of reality in my opinion, beyond just the cool videos that it generates.
↗Demis Hassabis: Future of AI, Simulating Reality, Physics and Video Games | Lex Fridman Podcast #475youtube.com 5th of 20 in this recording
- 2 weeks earlier
- TL
Timothy B. Lee quoted
Their wordsThese videos exceeded my expectations. Tesla’s robotaxi rollout wasn’t perfect, but it went as well as anyone could have expected.
↗What I learned watching 78 videos from Tesla's Austin robotaxisunderstandingai.org 1st of 2 in this piece
- TL
Timothy B. Lee quoted
Our readingA good robotaxi demonstration in one city does not mean the company is ready to scale the service.
Their wordsBut I don’t think Tesla’s accomplishments over the last two weeks—impressive as they are—mean that Tesla is ready to quickly scale up its service.
↗What I learned watching 78 videos from Tesla's Austin robotaxisunderstandingai.org 2nd of 2 in this piece
- 3 months earlier
- BT
Brad Templeton quoted
Their wordsThat's much better than current FSD, but much worse than humans or Waymo.
↗Musk: Robotaxis In Austin Need Intervention Every 10,000 Milesideas.4brad.com
- 2 weeks earlier
- MH
Molson Hart quoted
Their wordsAutomation will not save us.
↗America Underestimates the Difficulty of Bringing Manufacturing Backmolsonhart.com 9th of 16 in this piece
- MH
Molson Hart quoted
Their wordsFirst, China, on a yearly basis installs 7x as many industrial robots as we do in the United States.
↗America Underestimates the Difficulty of Bringing Manufacturing Backmolsonhart.com 10th of 16 in this piece
- MH
Molson Hart quoted
Their wordsThey are not useful in industrial environments where, if a humanoid robot can do it, an industrial machine which is specialized in the task can do it even better.
↗America Underestimates the Difficulty of Bringing Manufacturing Backmolsonhart.com 11th of 16 in this piece
- 11 days earlier
- TL
Timothy B. Lee quoted
Their wordsEven if we assume all three of these crashes were Waymo’s fault, that would still mean that a large majority of the 38 serious crashes were not Waymo’s fault.
↗After 50 million miles, Waymos crash a lot less than human driversunderstandingai.org
- 7 weeks earlier
- DP
Dylan Patel quoted
Their wordsI think it's actually probably simpler than that. It's probably something related to computer use or robotics rather than science discovery.
↗DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters | Lex Fridman Podcast #459youtube.com 24th of 44 in this recording
- 6 weeks earlier
- AF
Adam Frank quoted
Their wordsAnd this is important, so yes, you should expect legs or jointed sticks, how many joints they're going to be? Anybody's guess. Do you expect humanoids, things with a sensing apparatus on top of a shoulder with two arms and two legs? That's probably a pretty random set of occurrences that led to that.
↗Adam Frank: Alien Civilizations and the Search for Extraterrestrial Life | Lex Fridman Podcast #455youtube.com 17th of 24 in this recording
- AF
Adam Frank quoted
Their wordsBut they said, "Look, in the end, actually the only way to actually get a real brain in the VAT is actually to have a brain in a body." And it could be a robot body, but you still need a brain in the body. So I don't think LLMs will get there because they can't. You really need to be embedded in a world, at least that's the E-four idea.
↗Adam Frank: Alien Civilizations and the Search for Extraterrestrial Life | Lex Fridman Podcast #455youtube.com 24th of 24 in this recording
- 3 months earlier
- CH
Casey Handmer quoted
Their wordsSLS, like JWST before it, eats everything in its path, meanwhile NASA hasn’t sent a single mission to Venus since 1989.
↗SLS is still a national disgracecaseyhandmer.wordpress.com 3rd of 5 in this piece
- 6 weeks earlier
- PL
Pieter Levels quoted
Their wordsI feel the same with VR. It’s really cool. Apple Vision Pro is very cool. It doesn’t really solve something for me yet. And that’s the tech looking for a solution, but one day will.
↗Pieter Levels: Programming, Viral AI Startups, and Digital Nomad Life | Lex Fridman Podcast #440youtube.com 11th of 30 in this recording
- 2 months earlier
- PK
Philip Koopman quoted
Their wordsAt current deployment rates it will take Waymo about 20 years with ZERO fatalities to show they are net as safe as average human driver fatality rates (including the old cars, impaired drivers, etc. in that comparison baseline).
↗Perspective on Waymo's Safety Progresssafeautonomy.blogspot.com
- 13 days earlier
- PK
Philip Koopman quoted
Their wordsBut their latest study is for only 7.1 million miles. They need something like 40 times more data prove they are actually saving lives with statistical confidence (likely even more).
↗Waymo's Misleading Claim of Saving Livessafeautonomy.blogspot.com
- 2 weeks earlier
- TL
Timothy B. Lee quoted
Their wordsIf Waymo vehicles were constantly asking for remote guidance, Waymo might need to hire so many remote operators that it negates the cost savings that come from not needing a driver.
↗On self driving, Waymo is playing chess while Tesla plays checkersunderstandingai.org 3rd of 3 in this piece
- 8 weeks earlier
- BC
Brian G. Chow quoted
Their wordsDual-use robotic spacecraft will soon become the anti-satellite weapon of choice for mounting this attack.
↗Preventing a “Space Pearl Harbor”: Rep. Turner leads the chargethespacereview.com 1st of 5 in this piece
- BC
Brian G. Chow quoted
Their wordsIf a Chinese spacecraft can dock with a friendly satellite to refuel, repair, or transport it, the same robotic arm can also disable a US satellite’s solar panels and antennas. Alternatively, China can use these spacecraft to tow satellites into locations where they can, at best, only sub-optimally perform intended duties such as early warning, surveillance, or geolocation.
↗Preventing a “Space Pearl Harbor”: Rep. Turner leads the chargethespacereview.com 2nd of 5 in this piece
- BC
Brian G. Chow quoted
Their wordsBased on public commercial data that tells a lot about the military potential of these dual-use robotic spacecraft, we have shown that China can manufacture and deploy 200 such spacecraft as early as 2026, enough to cripple critical US satellites in geosynchronous, highly elliptical, and other orbits, and thus severely degrading space support to wartime operations.
↗Preventing a “Space Pearl Harbor”: Rep. Turner leads the chargethespacereview.com 3rd of 5 in this piece
- 7 days earlier
- SA
Sam Altman quoted
Their wordsI think it’s depressing if we have AGI and the only way to get things done in the physical world is to make a human go do it. So I really hope that as part of this transition, as this phase change, we also get humanoid robots or some sort of physical world robots.
↗Sam Altman: OpenAI, GPT-5, Sora, Board Saga, Elon Musk, Ilya, Power & AGI | Lex Fridman Podcast #419youtube.com 15th of 20 in this recording
- 4 months earlier
- EM
Elon Musk quoted
Their wordsBecause you think of how many electric motors are made in the world. There’s like tens of thousands, hundreds of thousands of electric motor designs. None of them were suitable for a humanoid robot, literally none.
↗Elon Musk: War, AI, Aliens, Politics, Physics, Video Games, and Humanity | Lex Fridman Podcast #400youtube.com 23rd of 23 in this recording
- 6 weeks earlier
- TC
Tyler Cowen quoted
Their wordsA very dynamic economy probably will be very good at building lots of robots cheaply, which may make us more rather than less likely to end up in Malthusian dilemmas.
↗GOAT: Who is the Greatest Economist of all Time and Why Does it Matter?tylercowen.com 20th of 25 in this piece
- 3 months earlier
- PK
Philip Koopman quoted
Their wordsThey frame the situation as a choice between continued human drivers killing people (without statistical context) vs. immature robotaxis who don't drink and drive (but make other mistakes).
↗AV Safety and the False Dilemma Fallacysafeautonomy.blogspot.com 1st of 3 in this piece
- PK
Philip Koopman quoted
Their wordsIt is too early to know whether current robotaxi technology is safer than human drivers for fatalities.
↗AV Safety and the False Dilemma Fallacysafeautonomy.blogspot.com 2nd of 3 in this piece
- 6 months earlier
- MC
Maciej Cegłowski quoted
Their wordsBut fifty years of progress in miniaturization and software changed the balance between robots and humans in space.
- 9 months earlier
- AV
by
Austin Vernon quoted
Their wordsFalling consumer oil demand looks much more like driving the Camry 6000 miles per year instead of 12,000 miles rather than a shiny new electric car in every garage or robot taxis swarming everywhere.
↗The Electric Car's Shrinking Role in Reducing Oil Demandaustinvernon.site 2nd of 2 in this piece