robotics
20 statements across 9 episodes · 12 bullish · 2 bearish · 8 people on the record · first statement Sep 30, 2025 by Dylan Patel · across every show →
Everything said about robotics, oldest first
Sep 30, 2025 bullish
Patel: Robotics Is Nowhere Close to Scaling and Needs Data Flywheels
“I think the robotics world is huge. I think we're, you know, we're like, we're literally warming up. We haven't even left the dugout dugout, right? Like we're like nowhere close to, you know, the scaling on, on robotics. There's a ton of like, The data flywhee…”
Nov 25, 2025 positive
Dec 16, 2025 bullish
Robotics costs will likely drop 15% to 20% annually due to scale
“And the cost on the existing use cases probably don't go down at three to five percent at this point in the curve because of the scale brought in, the human capital brought in, the IP bought on, and the fact that you're going to be able to use these general pu…”
Mar 4, 2026 bullish
China's execution, robotics, and cheap labor create unmatched product pricing
“Really quickly with a skilled but low-cost labor force and then add on the robotics has just allowed China to create a quality product at a price that nobody in the rest of the world's really been able to figure out yet.”
Mar 31, 2026
Levine: Traditional control pipelines bottleneck robotic hardware innovation
“I think that in general, in robotics, the ability to innovate on form factors has been very constrained because of the AI challenge, right? So if you have a traditional AI pipeline, like, you know, you're doing some motion planning and stuff like that, It's ha…”
Mar 31, 2026 positive
Levine: Robots Surpass Human Speed by Editing Out Cognitive Pauses
“It turns out to be like pretty straightforward to go in and like find all those pauses and remove them. And you can speed things up further, so you can get a task where a person demonstrates what it means to succeed, and then you can have the robot practice th…”
Mar 31, 2026 neutral
Levine: Handling unexpected home situations is robotics' biggest technical risk
“I think the place where I would see the biggest technical risk is dealing with the breadth of different situations. So, I think if we were talking about a well-defined, but, you know, But slightly chaotic environment like cleaning hotel rooms, or working, ah, …”
Mar 31, 2026
Levine: Easy Data Collection Makes Physically Intricate Robotics Tasks Easy
“And I think increasingly what we'll see is a shift where domains where collecting data is straightforward
They actually end up falling into the easy bucket over time, even if they are physically intricate. But there will be domains where collecting data is dif…”
Mar 31, 2026 positive
Levine: Scaling physical AI requires real-world data flywheels over fixed datasets
“So, I think that the key is not so much to quantify, like, here is exactly the price tag of getting the ultimate robot data set. The key is to get a system that can go into the world that's useful enough That does a wide variety of different things and they ca…”
Mar 31, 2026 positive
Levine: Generality of improvement mechanism is the most critical robotics capability
“So in my mind, the most important thing to get right is To get the system to be general, and in particular, to get it to be general with respect to how it can be improved, right? So, for example, hand-designed robotic controllers are not very general with resp…”
Mar 31, 2026 bearish
Mar 31, 2026 neutral
Levine: Easy Video Data Is Often Not Right for Robotics AI
“Well, that's not often the best assumption because you need the right kind of data. Like, Maybe some data is easy, like, it's easy to get, like, videos of people doing something, but that doesn't mean that's the right kind of data, and it might be domain depen…”
Mar 31, 2026 neutral
Levine: Robotics Timelines Are Uncertain Due to Activation Energy Bottlenecks
“Where there's a bootstrap challenge, like getting to a particular level of usefulness so that, ah, robots can be deployed so they can do useful tasks, so they can start collecting data from open world settings at scale, and because that's such a, like a sudden…”
Mar 31, 2026 bullish
Levine: Foundation models will trigger a PC-like explosion in robotics applications
“And I think something like that might happen in the world of robotics, but it can't happen today because if you want to put together some cool new robotics applications, some cool new robotics idea, you kind of have to build this, like, monstrous stack, and yo…”
Apr 23, 2026 bullish
Patel: Robotics few-shot learning breakthroughs will arrive in 6 to 18 months
“And so I think in the next six to 18 months, we'll start seeing real breakthroughs in robotics that enable few shot learning, i.e. There's a pre-trained robot model, and now there's a robot that you have hired or bought or whatever. You showed a few examples a…”
Apr 23, 2026 negative
Patel: VLA models will probably not scale for robotics due to data inefficiency
“Robots, currently the robot models VLAs Vision Language Action Models, which is very popular right now, is probably Not going to be the thing that ultimately scales beyond. They are inefficient in data. And we can't scale the data for them fast enough.”
May 20, 2026 bullish
Jul 28, 2026 bullish
Aug 11, 2026 neutral
Vishria: Real-world robotics lacks internet-scale bootstrap data like LLMs have
“Repetitive tasks in controlled environments is, like, more or less solved, and, like, you know, that'll continue to happen. But having tweaked tasks in real-world environments, that's where you need the AI. Like, that's where you need the AI plus the robots. A…”
Aug 11, 2026 positive
Vishria: Training pipelines matter far more than application for household robots
“I think the exact same thing has happened in robotics. We're investors in, in Sunday robotics which is going after this exact It's such a cool company. It's a cool company, and, you know, they're doing household robots, but the key part before you get to house…”