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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Large models look at Coding, embodied agents look at Picking! Yuanli Lingji has already entered the game.

    Force Intelligence has merged with logistics robot company Atomix, aiming to integrate its large model capabilities with real-world applications, specifically focusing on the "Picking" action. This strategic move is backed by significant investment from major Chinese AI companies including Zhipu AI, Jiepai Xingchen, SenseTime, and Alibaba, who recognize the potential of "Picking" as the foundational task for embodied AI, analogous to "Coding" for large language models. The merger is expected to create a self-sustaining data flywheel, where continuous real-world picking operations generate data to iteratively improve the AI models, which in turn enhance robot performance and expand their operational scope. AI

    IMPACT Establishes 'Picking' as a key data flywheel for embodied AI, potentially accelerating real-world adoption and development.