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Are Large Language Models a Path to AGI? with Ben Goertzel - #625
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Unifying Neural, Symbolic, and Evolutionary Methods Through Mathematics
We're using complex mathematics to show that neural, symbolic, and evolutionary systems are all just different aspects of the same probabilistic search method for program space. Logical theorem proofs also teach programs and ontologies that can be represented in category theory. Despite seeming different, these AI paradigms have morphisms between them, showing they're all just different perspectives on the same thing.
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