Random feedback weights support learning in deep neural networks

The article likely discusses a research finding that using random weights in the feedback path of a deep neural network can still enable effective learning. This could have implications for simplifying network architectures or improving training efficiency. The source, Hacker News, suggests a technical audience and likely a focus on practical applications or theoretical advancements in AI.