Neural Networks for Micro-Optimization
novel capability
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A 200MB neural network model is being employed to optimize data or code, achieving a reduction of only 400 bytes in size.
This matters because it reveals a shift in how computational budgets are allocated—favoring large AI models to eke out tiny efficiency improvements where formerly such trade-offs would be deemed inefficient.