Hard AI

With the advent of thinking models, or test time compute as it is called, AI has reach a milestone. It could probably be called AGI, and continuing refining this path can give very strong models. But it is still not very close to the theoretical maximum of how good these models can get. To get a little close here are six ingredients for achieving super intelligence. The underlying reason why this will probably work can be found in this paper: https://arxiv.org/html/2305.17026v3 "How Powerful are Decoder-Only Transformer Neural Models?" If the transformer architecture is Turing complete (meaning it can run like a computer program, and thus solve any problem), then we can probably also assume that we can have the architecture have Turing like properties, but not run as a program, but as reasoning.  In other words, when the number of layers and parameters rises, we can probably simulate something that is more complex than are circuit (and we already know we can simulate a circui...