Part 8/10:
While acknowledging that AI technology currently demands extensive power, Huang optimistically predicted that with ongoing advancements, the energy consumption per model would ultimately diminish. He likened the current stage of AI development to infancy, consuming considerable energy to support growth, but anticipating a mature state where AI becomes energy-efficient and sustainable.
Therefore, rather than viewing AI as an unyielding consumer of resources, Huang’s presentation highlighted the potential for AI to become a steward of energy conservation and environmental improvement. As smarter and smaller models take the forefront, they could significantly reduce the energy burden previously associated with traditional AI processing.