Friday, 09 October 2026, 14:00 at MR12, Centre for Mathematical Sciences – Training massive ML/AI models on massive amounts of data supposedly creates latent representations or features that are “universal” in the sense that the large model acts as a feature extractor that maps inputs into an embedding space. In this talk I will discuss recent empirical work that looks at embeddings …