Everything Peter Ludwig said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Ludwig: Cruise's robotaxi model conflicted with GM's personal ownership business
“Cruise was going after the robotaxi concept, but GM makes its profits from personal car ownership.”
Ludwig: Commercial driverless trucks are at most a few years away
“To be honest, it's not long. We're talking a few years and I think on the long end,”
Ludwig: Tesla R&D vehicles still use LiDAR in the Bay Area
“If you see, for example, a Tesla R&D vehicle, it actually has LiDAR on it to this day, right? In, in the Bay Area, we see these you'll see like Model Ys or CyberCab that have LiDARs on them just driving around.”
Ludwig: AI tooling creates an enormous bimodal productivity gap among engineers
“And I think in that you start to see more of a bimodal distribution of engineers, right? You start to see like, wow, there's this subset of people that they really get it. Like they're all in and they've clearly invested the hours needed to learn these tools a…”
Ludwig: No autonomous vehicle company is close to Level 5 autonomy
“And then the very last level is level five, which is more of an idea than a reality. It's the notion that there could be a vehicle that is, is able to drive autonomously in, in all conditions where a human would be able to operate that vehicle. And the truth i…”
Ludwig: Physical AI drives the global economy far more than digital AI
“Digital AI, of course, is building software and optimizing ads and creating videos. That's all interesting and good, but really where you talk about the global economy, that's physical AI.”
Ludwig: Applied Intuition deploys smaller models on-board for real-time safety
“So we can have very large models, and we do have very large models that are used In the off-board environment. But when, once you go on board, all of those constraints are very real. And now we need to train a much smaller model that has these safety constrain…”
Ludwig: GTA VI will be the last game using legacy graphics tooling
“This is speculation, but I think Grand Theft Auto VI will be perhaps the last major real-world video game that's still really developed, let's say, in that legacy era of traditional computer graphics tooling.”
Ludwig: LiDAR is hands down useful for AV R&D and data collection
“And the state of the industry right now is LiDAR is hands down a useful sensor specifically for data collection and the R&D phase of autonomy development.”
Ludwig: Autonomous systems will not cause worse accidents than human drivers
“I don't think we honestly have to worry about there ever being accidents from these systems that are much, like, much worse than what humans would cause, because humans do do terrible things. People fall asleep at the wheel all the time.”
Ludwig: Relying purely on world models will bankrupt companies before deployment
“I think if you're hoping to do real world deploys and you're purely relying on a world model approach, you probably won't get to something that works before you go bankrupt.”
Ludwig: Probably everything in the world reduces to next-token prediction
“So the interesting thing is, I think probably everything in the world can actually be boiled down to like a next token prediction problem. And In any workflow, anything can be thought of almost as like there's this, the sequence of steps or the sequence of tra…”
Ludwig: Physical AI companies cannot afford software engineers who ignore hardware
“Definitely in the vibe coding era, there are a crop of engineers that they don't think about hardware at all, and we don't have that luxury.”
Ludwig: Gen-II autonomous vehicle will be commercialized by 2027
“This is being commercialized in, in the next year”
Ludwig: Applied Intuition provides data collection kits to US Navy
“With the Navy, we do this thing called the data edge collection kit. So it's, Basically a system to enable the Navy to do modern data collection for training their own AI models.”
Ludwig: AI proficiency is replacing software engineering domain specialization
“I think the, it's becoming a little bit less important now to be, let's say, a specialist software engineer in a given field, because The AI tools, they can turn you into a specialist much more quickly, but you need to be an expert in the AI tool use itself, a…”
Ludwig: Perfect alignment between world models and reality is impossibly hard
“And if you have perfect alignment between the real world and the world model, I mean, I think you've just sort of solved the universe roughly, right? That's an impossibly difficult problem. But as we make progress towards that it makes training physical AI mod…”
Ludwig: Physical AI faces strict real-time constraints that digital LLMs avoid
“I like to say that the labs, they have it easy because they can make models that are trillions of parameters, and those models can be super slow, and that's fine, but we don't have that luxury in physical AI, right? We deal in real time, like the actual, actua…”
Ludwig: Most automakers cannot update safety-critical systems over the air
“Are basically never doing updates and they're, and even if they are doing updates, they're usually only updating maybe one module. Maybe they're updating the HMI module, but they're not able to update, let's say the seafood critical parts of the system. You ha…”
Ludwig: Physical machines mirror pre-Android smartphone fragmentation
“So physical machines today are more akin to the state of the phone market before Android and iOS existed.”
Ludwig: Claude Code Has Overtaken Cursor Internally at Applied Intuition
“Cursor was, I think the hottest tool in the company for a good while. Now, Claude Code, I think, has taken the reign on that.”
Ludwig: Frontier AI Models Now Excel at Low-Level Code and GPU Shaders
“Six months ago, I would have said the same thing, but it's becoming super useful for every domain.
I'm sure.
Right.
Like there was
I think six months ago, or maybe, maybe a year ago, if you tried to use, let's say the latest Claude model for writing shaders G…”
Ludwig: Model evaluation gets harder as AI models improve
“I think this is probably the hardest problem right now because the, as the models get better, it can be harder, harder to find the faults on the system. And so like the problem of doing proper eval to find those faults like that problem also keeps getting hard…”
Ludwig: RL on end-to-end models requires full sensor data simulation
“And so to do reinforcement learning on an end to end model, you now need to actually simulate all the sensor data, right?”