The author argues that current AI chatbots excel at generating plausible-sounding statements but aren’t designed to discover or verify truth. They contrast these polished “oracle” systems with messy yet reliable collective institutions like science, warning against over-deferring to a few powerful models. Instead, they call for pluralistic, AI-augmented processes—such as community notes—to improve truth-finding without sacrificing diversity.

The author expresses surprise that someone finally wrote about lab notebooks. They find the topic unexpectedly cool and worth attention.

This article discusses Dr. Fei-Fei Li's new book, "The Worlds I See," which explores her journey in AI and her vision for keeping humanity central in technological advancements. It highlights her background, her role in creating ImageNet, and the potential risks and rewards of AI.