The main bottleneck for AI is electricity, not data or smarter algorithms.
Scaling future AI models could require 1000x more compute power, demanding massive energy investments.
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ぬ-shaped Person: Passionate learner with diverse interests. Tech entrepreneur. PhD dropout software engineer. AI crafter. Uncomfortably skeptic and endlessly curious. Figuring out the art of living and loving. Obsessive optimizer. Suffering from tsundoku.
Eric Schmidt discusses the underestimated transformative potential of AI, its implications for humanity, and the geopolitical, ethical, and technological challenges ahead.
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Similar ideas to Energy Is AI’s Greatest Limitation
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The biggest problem, thoug h, is that models like this one are performed only on a single task. Future tasks require a new set of data points as well as equal or more amount of resources.
Transfer learning is an approach in deep learning (and machine learning) where knowledge is ...
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