Animesh Garg on X: "Physical AI is making a classic Moneyball error by mis-pricing data. Optimizing for "cumulative operational hours" or relying on low-variance production telemetry is the robotics equivalent of chasing batting averages, when we should be isolating on-base percentage. Unlike https://t.co/m7DOwExiHd" / X
Physical AI is making a classic Moneyball error by mis-pricing data. Optimizing for "cumulative operational hours" or relying on low-variance production telemetry is the robotics equivalent of chasing batting averages, when we should be isolating on-base percentage. Unlike https://t.co/m7DOwExiHd
Animesh Garg @animesh_garg Physical AI is making a classic Moneyball error by mis-pricing data. Optimizing for "cumulative operational hours" or relying on low-variance production telemetry is the robotics equivalent of chasing batting averages, when we should be isolating on-base percentage. Unlike text, every useful hour of robot data is paid for. If you aren't calculating marginal utility per dollar based on data novelty and intrinsic dimensionality, you're allocating capital based on vibes. In physical AI, useful data is strictly resource-constrained, shifting the goal from maximizing comp
related reading
- Moneyball for Physical AIpraxiscurrents.substack.com
- Stratechery by Ben Thompson – On the business, strategy, and impact of technology.stratechery.com
- Nikolaus West (@NikolausWest) on Xx.com
- Bessemer Predicts: Robotics and physical AI - Bessemer Venture Partnersbvp.com
- Many Small Steps for Robots, One Giant Leap for Mankindnotboring.co
- An Apple-Picking Model of AI R&D | Tom Cunningham – Tom Cunninghamtecunningham.github.io
- Android Dreamsandroid-dreams.ai
- A Stargate for Data - by willdepue - Will DePuewilldepue.substack.com
- State of Data (Jan 2026)seancai.com
- Dario Amodei — "We are near the end of the exponential"dwarkesh.com
- Mecka — The Data Engine for Physical AImecka.ai
- Muskan Kalra (@muskan_kalra24) on Xx.com