Why AI Agents Can Complete a Task and Still Be Hard to Trust
An AI agent can complete a complex task once and still fail when asked to repeat it. Drawing on research into consistency, memory, and autonomous performance, this article examines the gap between an impressive demonstration and a system people can depend on.
Can a Virtual Cell Tell Us Which Experiment to Run Next?
AI models promise to predict how cells respond to change, but recent benchmarks reveal how difficult that promise is to fulfil. This article examines what virtual cells can tell us, where their predictions fall short, and whether they can help scientists choose better experiments.
When Answers Become Cheap, What Is Education For?
AI makes a correct answer easier to obtain, and understanding harder to assess. Drawing on research into AI tutoring and skill development, this article explores the gap between completing a task and learning from it, and what that gap means for education.
Why a Robot Can Explain Your Kitchen Before It Can Clean It
AI can explain how to clean a kitchen, yet teaching a robot to do it reveals a much harder problem. This article explores the gap between language and physical intelligence, and what robotics research tells us about learning, adaptability, and the limits of knowing without doing.