Gang Fang's Blog

The kind of sequential probabilistic inference that GFlowNets can perform is a powerful form of learned reasoning machinery, which could be used for interpretation of sensory inputs, interpretation of selected past observations, planning, and counterfactuals

https://milayb.notion.site/The-GFlowNet-Tutorial-95434ef0e2d94c24aab90e69b30be9b3#208ee566b55048cda2c87fd5e0e93330

These are the potential applications of GFN. However, I think if they are all achieved then AGI is essentially solved. So I bet the reality is they aren’t.

Why is that?

TO_BE_ANSWERED.