Why AI Agents Keep Failing Even as Models Get Better
中文摘要
研究指出，AI智能体频繁失败的原因是训练环境过于静态，尽管其基础模型已大幅改进。
English Summary
Research suggests AI agents fail because they are trained in static worlds, even as the underlying models continue to improve.
Original Excerpt
New research suggests the problem may be the static worlds in which agents are trained. Continue reading on Medium »