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Current language agents are still far from matching human expert performance when faced with real-world professional tasks requiring complex reasoning, authoritative source retrieval, and domain-specific knowledge, as revealed by the new \$OneMillion-Bench benchmark.
By explicitly encoding mmWave sensing physics, a new HPE preprocessing method slashes parameter counts by up to 89% while matching accuracy, proving that sometimes the best AI is less AI.
