Gary Marcus 指出 AI 在物理世界应用存在局限
Most people who are panicking don’t fully appreciate this point:
Gary Marcus 说，AI 在物理世界应用有局限，和认知领域不同，这个观点很值得听听。
Gary Marcus 认为，国际象棋、围棋和数学这类高度受限的纯认知领域，AI 技术表现强劲，因为它们允许精确模拟和形式验证。但在开放式的物理世界，AI 技术目前还很弱。他警告说，我们错误地将认知技术应用于 AI，而未解决对齐问题，在机器人领域也需格外谨慎。
Most people who are panicking don’t fully appreciate this point:
Most people who are panicking don’t fully appreciate this point: Gary Marcus @GaryMarcus 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. 🔗 View Quoted Tweet 💬 6 🔄 0 ❤️ 13 👀 2086 📊 5 ⚡