Ethan Mollick：OpenAI 与 Anthropic 更擅长优化智能体成本与智能平衡
沃顿教授 Ethan Mollick 发了个观点：OpenAI 和 Anthropic 会用高低搭配的智能体组合把成本打下来，思路挺值得琢磨。
宾夕法尼亚大学沃顿商学院教授 Ethan Mollick 在 X 上发帖表示，OpenAI 和 Anthropic 在优化 AI 成本与智能的平衡上可能做得最好。
他认为两家公司的路径是将不同能力等级的智能体组合使用，并专门训练它们在各自的 harness 中协同工作。这条观点针对的是如何用混合能力层级的智能体降低推理成本的问题。
Yes, and there is a case to be made that OpenAI and Anthropic will do the best job of figuring out how to optimize AI cost/intelligence with combinations of agents of different ability levels that have been specifically trained to work well together in their own harnesses.
This report is categorized under AITOP's "Industry" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include OpenAI, Anthropic, agents, AI costs.
Source attribution: curated from Ethan Mollick (@emollick). Cross-source corroboration: 11 independent sources have covered this development (including 宝玉, IT之家, rohanpaul_ai), confirming industry-wide signal strength.
