Yann LeCun 发表关于 AI 与现实世界差异的推文
Yann LeCun（深度学习先驱）说，AI 研究者太关注比特和令牌，没意识到现实世界有多乱，这个观点很值得听听。
Yann LeCun 在推文中指出，专注于离散的比特和令牌的 AI 从业者，常常无法理解现实世界的复杂性和混乱。
他强调 AI 需要更好地模拟真实世界的复杂性，而不仅仅是处理数据。这种观点反映了当前 AI 界对模型与真实世界之间鸿沟的普遍关注。
@ericxing AI folks who live in the discrete world of bits and tokens don't always understand how incredibly messy the real world is.📊 68 ⚡
This report is categorized under AITOP's "Papers" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI regulation, compliance frameworks, and sovereign compute policy and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Yann LeCun, AI, 现实世界, 深度学习.
Source attribution: curated from Yann LeCun (@ylecun).
