Speakers in the public record
Claim mix
belief 18evaluation 6preference 5commitment 3recommendation 2prediction 2observation 1
Evidence policy
Every row below preserves an exact excerpt. Identified speakers are linked; unresolved voices are labeled and excluded from people counts.
Claim ledger
The useful parts, with receipts.
37 published records
“I think most people have heard of Applied Intuition tied to YC when it was first started, and then you were kinda in stealth for a long time, so maybe just give people the high-level overview of what it is today, and then we’ll dive into the different pieces.”
- Publisher
- Latent Space
“I love, I love watching robots do acrobatics like everybody but the these systems actually overheat, right?”
- Publisher
- Latent Space
“I was gonna say, to me, driving feels like a great next token prediction thing because you’re kinda like on a path and like, it doesn’t really matter what you’ve done before.”
- Publisher
- Latent Space
“Our first, our first core value is on round safety. So I think we can’t underline enough that, us also verifying and validating that the systems that we’re deploying are safe to us is probably as important as, like, some regulator or a customer saying,”
- Publisher
- Latent Space
“And the great thing about off board software is you don’t have to care about time, and you can run really large models, right? So you can, you can say, “Well, this model, I don’t care if it takes one second for it to give me a result or 10 seconds for it to give me a result, because we have time.”
- Publisher
- Latent Space
“my drive- I drive a Tesla. Whenever I drive some other car that has a screen, it always sucks.”
- Publisher
- Latent Space
“Yeah. And I think like, the broader point I think which, maybe is not obvious but it’s worth saying is in physical AI world, we’re not really constrained right now by, like, the intelligence of the models.”
- Publisher
- Latent Space
“We have a diversified bet strategy internally, and the reason we’ve done that is because we operate in now a bunch of industries, a bunch of geographies, and each of the approaches has, obviously a different risk to them.”
- Publisher
- Latent Space
“Our very first customers were robotaxi companies. And we started off doing a lot of work in simulation and data infrastructure.”
- Publisher
- Latent Space
“You’ve not mentioned hardware at all, like sensors or obviously we you mentioned you don’t do chips. I think even in AV there’s, like, a big, cameras versus lidars.”
- Publisher
- Latent Space
“There’s always a process of this, sim to real matching where you actually, you need the real world feedback to basically feed into the parameters that are being used in the simulator, and you have to do that, it’s like this validation flow, a number of times until you can get some confidence that, like I think the simulator is now accurately representing what’s gonna happen in the real world.”
- Publisher
- Latent Space
“Android has a huge suite of testing and it’s a reliable operating system that runs on thousands of devices. And we think we can, we can do the same in all these physical moving machines, with the difference that we’re really in a safety critical realm.”
- Publisher
- Latent Space
“I remember initially, I think people put you and Scale AI very similarly for some things about being kinda like on the data infrastructure side of things.”
- Publisher
- Latent Space
“I directionally agree with that, but I would say that’s not more of a YC function, it’s more of the market has changed.”
- Publisher
- Latent Space
“There’s actually a step in the middle which is, like, advanced engineering, and I think a lot of the industry is moving into advanced engineering where it’s like it’s not fundamental research.”
- Publisher
- Latent Space
“The way to think about it, honestly, is a little bit like, any system that you as an as a human would need special training to operate, you can think of a little bit differently.”
- Publisher
- Latent Space
“Yeah, I think th- generally the making models very efficient, right? So because we have to run on actual vehicles, like physical AI is literally, it’s taking, like, very large AI and now making it very small and very efficient.”
- Publisher
- Latent Space
“I think a lot of the a lot of the best advancements happening in a lot of these AI systems right now in some way relate to reinforcement learning, and with now we have lots of compute, and you can do tons of interesting things for reinforcement learning.”
- Publisher
- Latent Space
“” I think a lot of founders are in a similar way where they wanna raise a lot of money to signal they’re strong, and you raise a lot of money without spending it.”
- Publisher
- Latent Space
“I first wrote the my AI engineer piece three years ago, and when I first wrote about it, I was like, “Actually, not everyone should be an AI engineer,” ‘cause I think there’s a there’s an extremist stance where well, every software is an engineer is an AI engineer.”
- Publisher
- Latent Space
“At some point it, that doesn’t make sense. And so even, from our earliest days in autonomy, our view was you’re still gonna do real world testing.”
- Publisher
- Latent Space
“Specifically on the hardware-software boundary part, it’s, it’s something I think about of our education system, in the States, but also maybe just in generally.”
- Publisher
- Latent Space
“I think that, like, you look at the mix of our engineering, eighty-three percent of the company is engineering, so it’s, like, a giant list.”
- Publisher
- Latent Space
“I think if you talk to our trucking customers, they wouldn’t even perceive, they, like, some sense like, “Oh, you guys did some automotive stuff, but you’re, you’re really helping us.”
- Publisher
- Latent Space
“Like, there was, I think six months ago, or maybe a year ago, if you tried to use, let’s say the latest Claude model for writing shaders, GPU shaders, the results were probably underwhelming.”
- Publisher
- Latent Space
“Maybe that’s, like, a different way of asking the same question but ma- more answerable. I think always yes.”
- Publisher
- Latent Space
“The mass And you have, you have the general categories of on-road and off-road. I think that’s what you’re thinking.”
- Publisher
- Latent Space
“we, I think like every company in the Valley right now, are evolving our hiring practices because the skills required to be effective are changing so fast, right?”
- Publisher
- Latent Space
“So short answer is yes, right? So just like you can use, Claude code to plan out some complex coding task and you get some almost specification written out, those similar approaches absolutely can be applied to physical systems because imagine you’re trying to accomplish some task.”
- Publisher
- Latent Space
“I think the I think the thing you probably need more than an engineering degree, though engineering degrees are, like, very important, like, I don’t know if there’s a way to shortcut, like, fluid dynamics or heat transfer”
- Publisher
- Latent Space
“I think we’re like Michigan guys who are kind of more of that traditional engineering kind of a realm, or lineage.”
- Publisher
- Latent Space
“took the whole industry. But I think China is literally doing this marathon because they know that reliability, of these humanoids is a problem.”
- Publisher
- Latent Space
“‘Cause it’s a statistical thing, but as long I don’t know if regulators understand that, you cannot extrapolate from a single incident, but we do because that’s all we have to go on.”
- Publisher
- Latent Space
“There are sometimes screens within the cabin or for example of a car or a truck or something like that, but most of the value we provide is putting intelligence that is in safety critical environments. So that those two words are really important because learn systems can make mistakes if you’re asking for, like, some, so something like, “Tell me about these podcast hosts that I’m about to go meet.”
- Publisher
- Latent Space
“I think companies like Waymo are doing a lot of service positively to the industry in the sense of they’re, they’re setting a high benchmark and they’re showing, kind of in a very responsible way how to, how to deal with these.”
- Publisher
- Latent Space
“And then when you’re doing the production system, you can now remove the lidar and now you can actually get depth with just the camera. And so that difference between, like, a highly sensored R&D vehicle and then the down-costed production vehicle, we use that across our whole portfolio of products.”
- Publisher
- Latent Space
“I think we’re a Sunnyvale company and I think just from this conversation and kind of our backgrounds, you can kind of predict a little bit of what that means.”
- Publisher
- Latent Space