网友讽刺 Dario Amodei 的医疗承诺：先刷 SWE-bench 再治癌症？

段子虚构了一场 IPO 前三周的全员会：CEO 宣布治病路线图，但第一步是刷 SWE-bench，第二步是让 coding agent 连续跑 30 小时不停机，第三步是 Terminal-Bench，第五步是更好的 coding agent。

段子里的实习生提问为什么不去问从业数十年的医生，指出真正的瓶颈可能是临床试验、湿实验室时间和患者数据，而不是合并 pull request 的速度，CEO 的回应却是让 HR 查这个实习生是谁。Gary Marcus 借此表达对 Amodei 医疗主张的公开质疑：多数阿尔茨海默病药物在命中靶点后依然失败，更快的编程智能体解决不了这个问题。

People are openly mocking Dario’s bullshit. Ravid Shwartz Ziv @ziv_ravid All-hands meeting, three weeks before the IPO. CEO: We are going to cure cancer, Alzheimer’s, heart disease and mental illness. In under a decade. Room: applause CEO: Step one. SWE-bench. Room: nodding CEO: Step two. The coding agent runs for 30 hours without stopping. VP: Incredible for patients. CEO: Step three. Terminal-Bench. Intern: Sorry, quick question. Why don’t we talk to the people who have worked on these diseases for decades and ask them what they need? CEO: Who are you? Intern: The intern. I just think the bottleneck might be trials, or wet lab time, or patient data. Probably not how fast we merge pull requests. CEO: Step four. The agent opens its own pull requests. Room: applause Intern: One oncologist could tell us in an hour if any of this is on the path. CEO: Why are you still here? Intern: Most Alzheimer’s drugs failed after they hit the target. They just didn’t help patients. A faster agent doesn’t fix that. CEO: Can someone find out who this is? Room: applause CEO: Step five. A better coding agent. 🔗 View Quoted Tweet📊 2 ⚡

本条情报归属 AITOP「行业」核心栏目，重点聚焦北美前沿实验室与硅谷科技巨头。在跨区域产业观察坐标中，该动态直接关联「中美大模型技术代差与商业化对照」「AI 开发者工具链、Coding Agent 与工程化实践」研究主线，反映出当前技术演进与商业落地的最新风向。涉及核心实体与技术议题包括：Dario Amodei、Anthropic、Gary Marcus、SWE-bench，读者可通过下方标签进入对应专题页查阅历史脉络与关联对比。

信源核验说明：本文原始线索采编自「Gary Marcus」（@GaryMarcus），经 AITOP 多维评分管线结构化提炼。截至目前，全网已有 11 家独立信源对该事件进行交叉印证与跟进报道（含 宝玉、Jason Wei、AI Will 等），属于近期高关注度行业信号。