Why the Most Valuable Things You Know Are Things You Cannot Say
32 by nr378 | 6 comments on Hacker News.
32 by nr378 | 6 comments on Hacker News.
French-owned ship passes through Strait of Hormuz
It appears to be the first ship owned by a major European firm to go through the strait since the conflict began.
from BBC News https://ift.tt/FYl74zQ
from BBC News https://ift.tt/FYl74zQ
New top story on Hacker News: Show HN: PhAIL – Real-robot benchmark for AI models
Show HN: PhAIL – Real-robot benchmark for AI models
11 by vertix | 8 comments on Hacker News.
I built this because I couldn't find honest numbers on how well VLA models [1] actually work on commercial tasks. I come from search ranking at Google where you measure everything, and in robotics nobody seemed to know. PhAIL runs four models (OpenPI/pi0.5, GR00T, ACT, SmolVLA) on bin-to-bin order picking – one of the most common warehouse operations. Same robot (Franka FR3), same objects, hundreds of blind runs. The operator doesn't know which model is running. Best model: 64 UPH. Human teleoperating the same robot: 330. Human by hand: 1,300+. Everything is public – every run with synced video and telemetry, the fine-tuning dataset, training scripts. The leaderboard is open for submissions. Happy to answer questions about methodology, the models, or what we observed. [1] Vision-Language-Action: https://ift.tt/WGDEdsa
11 by vertix | 8 comments on Hacker News.
I built this because I couldn't find honest numbers on how well VLA models [1] actually work on commercial tasks. I come from search ranking at Google where you measure everything, and in robotics nobody seemed to know. PhAIL runs four models (OpenPI/pi0.5, GR00T, ACT, SmolVLA) on bin-to-bin order picking – one of the most common warehouse operations. Same robot (Franka FR3), same objects, hundreds of blind runs. The operator doesn't know which model is running. Best model: 64 UPH. Human teleoperating the same robot: 330. Human by hand: 1,300+. Everything is public – every run with synced video and telemetry, the fine-tuning dataset, training scripts. The leaderboard is open for submissions. Happy to answer questions about methodology, the models, or what we observed. [1] Vision-Language-Action: https://ift.tt/WGDEdsa
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