PANews 1月2日消息，Mechanism Capital合伙人Andrew Kang在X平台发文表示，2025年机器人领域解决了长期存在的模型架构与训练挑战，并在数据采集技术、数据质量理解和数据配方方面取得重大进展，使得人工智能公司有信心最终开始投资大规模数据收集，像Figure、Dyna和PI这样的公司利用强化学习 （RL） 的创新技术，在各种实际应用场景中实现了99%以上的成功率。
此外，记忆技术的进步打破了“记忆墙”，NVIDIA的ReMEmber利用基于记忆的导航，Titans与MIRAS实现了测试时记忆，更优秀的虚拟定位模型（VLM）意味着虚拟定位阵列（VLA）拥有更佳的空间理解能力，以及能够大幅提升吞吐量的数据标注和处理流程。2025年市场初步领略到数据规模带来的零样本能力映射、视觉力度敏感性和通用物理推理，2026年实体AI数据规模将扩大100倍。
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