Caltech.LHC++

Gemini Deep Think is helping advance scientific progress! Very cool to see how experts are using it to accelerate solutions to longstanding problems in maths, physics, and computer science

This is really giving reviewers too much credit.

I love this table.

Dark Energy Survey 6-year results: The S8 tension with CMB is still there (left plot), but still only two sigma-ish. Cosmological constant dark energy (w = -1, right plot) continues to be favored. The death of ΛCDM keeps not happening.

Demis Hassabis, CEO of Google DeepMind, drops a quiet bombshell: The big question isn’t whether AI can solve problems. It’s whether AI can invent new science. Right now, it can’t. Not because of compute. Not because of data. But because it lacks something fundamental: A world model. Today’s LLMs can generate brilliant text, images, even code. But they don’t truly understand causality. They don’t know why A leads to B. They just predict patterns. Hassabis argues that real scientific discovery requires more: – Long-term planning – Stronger reasoning – And an internal model of how the world works Physics. Biology. Cause and effect. Only then can an AI run its own thought experiments. Only then do we get a true digital scientist.