Clearly, detailed long-term simulations of chaotic systems is impossible with any (non-quantum) turing machine with limited parallelism. I think the argument i

Clearly, detailed long-term simulations of chaotic systems is impossible with any (non-quantum) turing machine with limited parallelism. I think the argument in the article is rather the other way around, ie that intelligence DEPENDS on a kind of simulation to develop proper intelligence. For instance AlphaZero was able to "solve" chess, go, etc, because it could simulate the game state perfectly. And, the "hard" part comes from the fact that perfect simulation is impossible (with or without AI). For an AI that will never interact with the physical world, this makes some sense. However, as I argued in my other response, while some kind of World Model (ref LeCun) may indeed be necessary for AGI, it doesn't need to be perfect. Predictive about essential aspects (those relevant for decisions and actions) is enough. https://syncedreview.com/2017/02/25/yann-le-cun-predicting-under-uncertainty-the-next-frontier-in-ai/ https://syncedreview.com/2017/02/25/yann-le-cun-predicting-u...