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A multi-domain curriculum can enhance AI agents' performance, yielding significant improvements in both security and social reasoning capabilities.
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.
