https://news.ycombinator.com/item?id=39173034 If this paper replicates, LLM-like large transformer models can approximate Solomonoff induction pretty well, with other neural net types showing clear evidence of generalizing outside the training distribution. If substantial efficiency improvements get implemented and new architectures get developed, that's game over. The AI is smarter than you, and can trivially be made into an agent by having the approximate Solomonoff induction section simulate the behavior of an agent in the real world, and then having another section change the real world to match the simulation by controlling the real-world agent, creating a full cybernetic system, a closed loop.