But even geniuses make mistakes. For example, Demis bet hard against language having any sort of real impact in AI research. So hard in fact that DeepMind nearly had its language research team walk out on them as they were about to be labelled as "applied". Now, to be fair, once the evidence was mounting that large language models rather than pure reinforcement learning was the way forward Demis and DeepMind changed course and has been great at catching up. However, it is important to remember that no person is infallible.