METR released an assessment of AI R&D acceleration at Anthropic, estimating that model improvements are occurring at twice the rate of a previous period. However, there is a risk that this acceleration may be due to overfitting to verifiable tasks, which could lead to a slowdown.
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The study highlights the importance of validating metrics to avoid overestimating AI progress rates.
Tactile sensing is essential for contact-rich dexterous manipulation, but commercial tactile sensors have limitations. This work presents LingBot-Touch, a tactile foundation model that unifies data from various sensor types, including piezoresistive, magnetic, and visuotactile sensors. The model is compatible with different policy models, enhancing manipulation capabilities.
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