According to @drfeifei, the post identifies four open priorities for embodied AI: solving long-horizon, human-centric tasks; efficiently combining low-level control with high-level planning; understanding the generalization limits of current models; and investigating scaling laws for embodied AI, source: @drfeifei. The post presents research questions and does not announce new models, benchmarks, timelines, funding, or partnerships, so it introduces no new quantifiable trading catalyst by itself, source: @drfeifei. Traders should treat this as an agenda-setting signal and monitor future technical disclosures on long-horizon planning metrics, control–planning integration methods, generalization test protocols, and scaling study results before adjusting positions, source: @drfeifei.