Critical thinking and AI

Thanks to Hetan Shah and Margot Finn on Bluesky, I came across this article by Gillian Tett in the Financial Times. It’s a discussion about the rhetoric and reality of AI adoption in business with, as you’d expect, a focus on the financial sector and its regulators. The bit that caught my attention was the description of a New York financier evaluating, for the first time, summer interns who had grown up using AI. While they appeared impresive initially,

… when senior financiers later probed their ideas they found them alarmingly shallow.

Consequently this person’s company made fewer return offers and is now focusing less on graduates in science, technology, engineering and mathematics — and more humanities students instead.

Now, I am speaking as a physics professor and a physicist of course. In my experience, there is a lot of critical thinking involved in science, engineering and maths, and I get a bit testy – grumpy even – if I think my humanities colleagues are trying to claim it as their thing.

However, there is also a prevalent “get stuff done” imperative. I learned my ways of working in a world where if you didn’t think critically at the start, you could waste a lot of time. I mean, years. A career even. I suppose the FT equivalent would be buying up sub-prime mortgages.

As I watch the students and postdocs around me exploit the productivity gains of rapidly-improving AI tools to solve problems, write code, test hypotheses, develop and validate new techniques – “get stuff done” – I have two concerns.

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Where do all the particle physicists* go?

When Catherine Heymans, Simon Williams and I gave evidence to the House of Commons Science, innovation and Technology select committee a few weeks ago (seems like years to be honest), we were set some homework.

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An “impossible” Higgs measurement becomes reality thanks to AI (and QCD)

Higgs bosons produced with high transverse momentum are a key probe for new physics.

An event display of a possible Higgs boson event showing two back-to-back jets.

An event display of a possible Higgs boson event showing two back-to-back jets. One jet shows a clear separation of energy deposits (in green) which is a sign of the Higgs decay.

Since the discovery of the Higgs boson back in 2012, one of the most important things we have been doing at the CERN Large Hadron Collider (LHC) is measuring how Higgs bosons are produced and how they decay. The Higgs is a vital, singular and relatively unexplored feature of the Standard Model of particle physics. Measuring its properties and dynamics is a really promising avenue for pushing the limits of that model, and looking for clues to how it might be extended to explain some of the things it currently cannot1.

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Some history of UCL and particle physics

UCL is 200 years old this year, and there is a lot to celebrate. Physics and astronomy have been here since the start.

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