Is embodied AI progressing slower or faster than language models, and how would we measure it?

Reddit r/ArtificialInteligence News

Summary

The article questions whether embodied AI is advancing faster or slower than language models, noting that robots are judged by demos rather than benchmarks, and asks what fair metrics could compare physical AI progress with text and reasoning progress.

Language model progress gets tracked through benchmarks, but robots are judged mostly by demos. Is there a fair way to compare progress in physical AI with progress in text and reasoning? What metrics would you trust?
Original Article

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