$MIRA $DIA $TA Andrew Kang predicts: The scale of physical AI data will expand by 100 times by 2026!🤖 In 2025, AI will overcome challenges in model architecture and data collection in the robotics field, with companies like Figure, Dyna, and others achieving RL success rates of over 99%. Advances in memory technology and VLM are driving a surge in data annotation efficiency... The integration of AI and physical entities is accelerating, and the future looks promising!🚀
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$MIRA $DIA $TA Andrew Kang predicts: The scale of physical AI data will expand by 100 times by 2026!🤖 In 2025, AI will overcome challenges in model architecture and data collection in the robotics field, with companies like Figure, Dyna, and others achieving RL success rates of over 99%. Advances in memory technology and VLM are driving a surge in data annotation efficiency... The integration of AI and physical entities is accelerating, and the future looks promising!🚀