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This video explores a groundbreaking neuronal alternative to transformer architecture called Continuous Thought Machines (CTM). Delve into how this innovative approach incorporates artificial dimensions for dynamic neuronal synchronization to enhance AI reasoning capabilities. Learn about the research conducted by a collaborative team from Sakana AI, University of Tsukuba, and IT University of Copenhagen, including Luke Darlow, Ciaran Regan, Sebastian Risi, Jeffrey Seely, and Llion Jones. Discover the potential implications of this technology for improving AI systems beyond traditional transformer models in this 19-minute explanation of cutting-edge AI research.
Syllabus
NEW AI Thought Machine - Artificial Time (No Transformer)
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