Asking a model to judge trolley problems
jev decided to sacrifice a human to save robots when solving trolley problems
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Data & research / CASE STUDY
Checking action labels for physical AI
Video by Peter WangCreator’s demonstration
IN THE CREATOR’S WORDS
Jev is insane. We are building egocentric training data for physical AI. Jev QA'd 58,643 action labels in…Read the full original postKeep the curiosity going.
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Finding order in 1,018 research papers
I used Jev to classify 1,018 AI research papers. The result: $0.08 total cost and 256ms median end-to-end…
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