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前 OpenAI 研究副总裁 Jerry Tworek：当前 AI 的短板在简单任务的失败率
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前 OpenAI 研究副总裁 Jerry Tworek 说，模型做数学编程很猛，但简单任务照样翻车，光堆模型能力不够。
前 OpenAI 研究副总裁、现 Core Automation CEO Jerry Tworek 在 The Information 的 AI Agenda Live 活动上发表观点。他认为当前模型在数学、编程等定义清晰的问题上进步显著，但在上下文复杂的杂乱任务和系统级决策上仍然吃力。他强调最大的限制不是模型最好时能做什么，而是它们在看似简单任务上的失败。这种差距意味着只靠更聪明的模型可能不够。
原文 · The Information
At The Information's AI Agenda Live, former OpenAI research VP Jerry Tworek argued that the biggest limitation of today’s AI models isn’t what they can do at their best—it’s where they still fail at seemingly simple tasks.
Tworek, now CEO of Core Automation, said models have made huge gains on well-defined problems like math and coding, but still struggle with messy, context-heavy work and larger system-level decisions. That gap, he argued, is why smarter models alone may not be enough.
