DESIGNING AI FOR DISRUPTIVE SCIENCE

Summary from the TLDR newsletter

There is hope that, if we build systems with much stronger general reasoning, discovery will follow as a near-automatic consequence, but there is no guarantee that this will happen. Many technologies have promised radical scientific acceleration yet failed to do so. For example, the Internet has made it much easier to search and collaborate, but revolution has not largely emerged at scale, mostly because of deeper inefficiencies in how science is organized. There is even evidence that online journals narrow what researchers read and cite, potentially accelerating consensus instead of expanding the space of ideas explored.