Gary Marcus 认为AI在棋类、数学等有明确规则领域表现强，在无明确规则领域表现弱
Gary Marcus说的，AI在规则明确的领域（比如棋类、数学）确实很强，但在开放物理世界就弱，这个观点很值得听。
Gary Marcus指出，棋类、围棋和数学这类有明确规则、纯认知的领域，允许精确模拟，AI技术在这些领域表现强劲。
但在无明确规则、物理世界的领域，AI技术则较弱。他强调，由于没有解决对齐问题，过度推广认知技术是愚蠢的，在机器人领域也需极其谨慎。
Chess, go, and math are highly constrained, purely cognitive that allow exact simulation for games (and formal verification for math), and not in the open-ended physical world. As I have been arguing for over a decade AI, AI techniques for the former are strong, for the latter they are weak. That remains true. That said, we stupidly pushed the cognitive techniques without solving alignment. we should be extremely careful about doing the same in robotics.📊 3 ⚡
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 US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Gary Marcus, AI对齐, 认知领域, 物理世界.
Source attribution: curated from Gary Marcus (@GaryMarcus).
