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Physical AI evals are starting to become a real category. Until recently, most VLA evaluation was basically: LIBERO → success rate → leaderb…
Physical AI evals are starting to become a real category. Until recently, most VLA evaluation was basically: LIBERO → success rate → leaderboard. Now we're seeing a much broader stack emerge: • Allen
Physical AI evals are starting to become a real category. Until recently, most VLA evaluation was basically: LIBERO → success rate → leaderboard. Now we're seeing a much broader stack emerge: • Allen AI — unified VLA eval across 18+ simulation benchmarks • LeRobot — one eval interface across multiple sim benchmarks • PhAIL — real robots + production metrics like throughput and failures • Robocurve — independent, real-world robot evaluation • RoboDojo — bringing sim + real-world evaluation together The interesting part isn't just more benchmarks. It's the move from: “Can the robot complete this task?” to: “How reliable, fast and general is this system in the physical world?” I think independent physical AI evals are going to become increasingly important as robot models start looking more and more similar on demos.
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Source: Yann LeCun (X) | 2026-08-16