The Jim Rutt Show
@jimruttshow·4.4K subscribers·597 videos
EP 316 Ken Stanley on the AI Representation Problem
Posted
August 11, 2025
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369
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August 11, 2025
369
13
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56:53Now PlayingClick here for full show notes including episode mentions & recommendations!
Jim talks with Ken Stanley about the Fractured Entanglement Representation hypothesis in deep learning neural networks. They discuss open-endedness in AI systems & evolution, the Picbreeder experiment & its significance, the objective paradox of finding things by not looking for them, comparisons between Picbreeder & SGD networks, visual differences in internal representations, weight sweep experiments, modular vs tangled decomposition, implications for creativity & continual learning & generalization abilities, Unified Factored Representation as an alternative to FER, the relationship to grokking in neural networks, scaling considerations & evidence in larger models, potential methods to achieve UFR, connections to biological evolution and DNA representation, and much more.
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