A physicist analyzing particle collisions typically spends weeks on dull work: cleaning noise from data, estimating how many false signals will slip through, double-checking every number. Now that routine can be handed to a program. The researchers gave Claude Code, a large language model, a set of data from the ALEPH, DELPHI, and CMS detectors, tools for processing, and a folder of old papers. From there, it worked on its own.

First, the program selected the relevant events, like a chef who, from a mountain of ingredients, picks only the fresh vegetables for the soup. Then it estimated the background: how often the detector might have erred and recorded random noise instead of a real particle. It calculated uncertainties, checked the statistics, and wrote a draft of the paper. One result is a measurement of the Higgs boson decay to tau leptons using CMS data. Another is the first-ever analysis of the Lund plane on LEP data, which no one had published before.

The authors named their framework Just Furnish Context—"just give context." The idea is simple: you don't need to spell out every step for the agent; just put the data, tools, and papers in front of it. It will figure out what to do on its own. It's like giving an intern the keys to the lab and a library: they'll manage if the materials are good.

Of course, no one is saying physicists will be out of a job. On the contrary: freed from routine, scientists can think about new ideas, devise methods, and check whether the machine made a mistake. But we need to prepare students for this reality now — teaching them not only to write code by hand but also to manage intelligent assistants.