英伟达Inception全球物理AI主管Les Karpas将在TechCrunch Disrupt 2026大会上阐释机器人领域为何尚未迎来突破性时刻。1根据其观点，机器人AI发展的核心困境在于缺乏互联网级别的物理AI数据集——这一资源的匮乏与自然语言模型领域形成鲜明对比。1Karpas指出，"没有人有互联网级别的物理AI数据集，就像OpenAI、Anthropic等为语言模型拥有的那样"。1
为了弥补这一数据鸿沟，创业生态正在采取积极措施。1业界通过模拟、合成数据和多机器人联合训练的基础模型来人工制造规模，以解决物理AI数据的稀缺问题。1TechCrunch Disrupt 2026大会将于10月13至15日在旧金山Moscone West举办，预计吸引超过10,000名科技领袖、创业者和投资者参与。1购票者如在9月25日前完成购买，最多可节省200美元。1
Les Karpas, global head of physical AI at Nvidia Inception, will speak at TechCrunch Disrupt 2026 to explain why the robotics industry has yet to experience a breakthrough comparable to ChatGPT's impact on AI.1 The core issue, according to Karpas, is that robotics lacks access to internet-scale datasets of physical AI data—a contrast to the massive training corpora that enabled the development of large language models at companies like OpenAI and Anthropic.1 The startup ecosystem is attempting to bridge this gap by developing foundation models trained on simulated data, synthetic information, and multi-robot collaborative learning approaches to artificially create the scale necessary for progress.1
The conference will take place October 13–15, 2026, at Moscone West in San Francisco and is expected to draw more than 10,000 technology leaders, entrepreneurs, and investors.1 Early-bird tickets purchased before September 25 are eligible for discounts of up to $200.1
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