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Google DeepMind researchers used AlphaEvolve, an LLM-based coding agent, to discover new combinatorial structures. The system iteratively evolved code snippets to improve results on the hardness of approximating optimization problems. The work advances complexity theory by finding new structures that push boundaries in two distinct areas.
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