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Extra test-time "thinking" cannot recover missing parametric facts, but teaching small reasoning models to recognize their own knowledge boundaries and selectively query larger models lets a 4B model outperform a 14B baseline at nearly a third of the serving cost.
Robot swarms can autonomously self-assemble power networks that are 65% more efficient than traditional methods, even in chaotic environments.