Observer Theory Insights
Stephen delves into the concept of observers like us, drawing parallels between human observation and neural networks in machine learning. He explores the idea of deriving insights about physics based on how observers process information, hinting at the potential for a new theory of the observer.In this clip
From this podcast
Machine Learning Street Talk (MLST)
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