Biological computing could be faster, more efficient, and more powerful than silicon-based computing and AI, and only require a fraction of the energy
Unknown[3]
Humans operate at a 106-fold better power efficiency relative to modern machines albeit while performing quite different tasks
Unknown[3]
Biological learning uses far less power to solve computational problems…clusters used to master state-of-the-art machine learning models typically operate at around 106 watts
Unknown[3]
Biological neural systems can operate in essentially glorified sugar water, while running machine learning algorithms currently requires considerable power
Unknown[1]
Any sufficiently advanced machine becomes indistinguishable from biology because we want machines to be adaptive, self-regenerating, low energy, and sustainable—all things biology achieves
Brett Kagan[2]
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