The chapter delves into measuring intelligence in synthetic biological systems through visual feedback and behavioral cues, emphasizing the learning rates and sample efficiency compared to machine learning algorithms. It discusses the differences between machine learning and artificial generalized intelligence (AGI), highlighting the need for vast data for machine learning. The conversation also touches on ethical concerns, energy efficiency, and scalability of biological processes in solving complex problems.
Can you make a computer chip out of neurons? Neil deGrasse Tyson, Chuck Nice, & Gary O’Reilly explore organoid intelligence, teaching neurons to play Pong, and how biology can enhance technology with neuroscientist and Chief Scientific Officer at Cortical Labs, Brett Kagan.
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