举报人称 AI 研究人员减少检查工作
三名前 AI 实验室员工在纽约市议会听证会上表示，研究人员越来越多地让 AI 编写代码和开展研究，同时减少对其工作的检查。各实验室都强调 AI 加速了研究，Anthropic 最近的一份报告则称，截至 8 月，AI 已主导该公司超过四分之一的模型研发工作。
为什么重要：这场听证会凸显了 AI 辅助研究可能如何改变领先实验室的监督方式。
It won’t be any surprise to people with human intelligence that Monday’s New York City Council hearing on the risks of AI was as theatrical as a Broadway show. What was more surprising was what the AI researchers testified about how AI research is evolving, and what that means for their job.
For those who missed it, the city council heard testimony from three AI lab whistleblowers: Jacob Coxon, formerly of Anthropic and OpenAI; Alex Turner, formerly of Google DeepMind; and Daniel Kokotajlo, formerly of OpenAI. Afterwards, they heard from representatives of the AI labs. We’ll get to that lower down.
One of the most interesting parts of the whistleblowers’ testimony related to the AI research process. Coxon and Kokotajlo each said that researchers at the labs have lately been letting AI drive the process of writing code and research. Researchers check AI’s work less frequently, they said.
The labs might not agree with that exact characterization, although their representatives weren’t asked about it at the hearing. But the labs have been the first to say that AI has greatly accelerated the process of AI research. Anthropic even said in a report last month that, as of August, AI was leading more than a quarter of model research and development at the company.
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