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Edge AI Daily Morning Brief (October 21)

An evaluation by SenseTime together with teams including Daxiao Robotics and Nanyang Technological University shows that GPT-6-Astra came close to full marks on several of 12 simulation benchmarks (100% on LIBERO-Long++, 98.8% on SIMPLE), but after deployment on 8 real robot platforms, all 11 attempts to plug in a plug failed and folding clothes ran into trouble. Its high scores also depend on two "boosters": in-context learning (ICL) and relaxing the action step limit to 10x; on the long-horizon household benchmark BEHAVIOR, its success rate was only 37.0%.

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