Active Inference Challenges

Tim and David discuss the challenges of applying active inference ideas to complex problems, highlighting the need for attention and practical application in scaling these elegant concepts. They draw parallels to the evolution of neural network architectures and emphasize the potential for combining active inference with models like GPT.