Sébastien Larivée

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DeepMind: Generally capable agents emerge from open-ended play

This seems to support Reward is Enough

 

More specifically:

DM simulates a lower fidelity version of real world physics  -> Applies real world AI methods -> Achieves generalised AI performance. 

This is a pretty concrete demonstration that current AI methods are sufficient to achieve generality, just need more real world data to match the more complex physics of reality.