AI Discovers Algorithm That Beats Nsdi'24 Best Paper
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An AI system discovered an algorithm that outperforms the best paper at NSDI'24, a conference on networked systems design and implementation, with discussion focusing on the implications of AI-generated algorithms.
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Counter-intuitive finding: starting from a weaker baseline (greedy) worked better than starting from the SOTA algorithm. The AI found new insights rather than incremental improvements.
The entire process took 5 hours and cost <$20. We're open-sourcing everything and have applied this to other systems problems (MoE load balancing with 5x speedup, see https://news.ycombinator.com/item?id=45688236).
Happy to answer questions about the methodology or results!