I be one of the most interesting discoveries (and topics) in artificial intelligence, leaving aside the debate about whether this is intelligence at all or not. We (I at least!) assume that if you trained one AI model purely on, say, images and another purely on text, they would develop entirely different ways of “thinking” — not entering the discussion about what this exactly means. Our notion would be that they use completely different architectures and process completely different data, so they should, by all logic, have completely different “brains”, even if they both are good at their tasks with images and text. But according to some exciting research from various groups, that isn’t the case at all! Already in 2024, MIT presented solid evidence that every major AI model is secretly converging to the same “thinking core” (or brain, or whatever you want to call it) .  As these models get bigger and more powerful, they are all arriving at the exact same conclusion about how the world is structured.…