AIBullishOpenAI News · May 57/104
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AI and efficiency
A new analysis reveals that compute requirements for training neural networks to match ImageNet classification performance have decreased by 50% every 16 months since 2012. Training a network to AlexNet-level performance now requires 44 times less compute than in 2012, far outpacing Moore's Law improvements which would only yield 11x cost reduction over the same period.