Thoughts on generative A.I

· · 来源:dev百科

Human performance follows nonlinear curves. Moderate stress sharpens attention. Chronic stress degrades memory, judgment, and emotional regulation. Energy is finite. Recovery capacity is finite. Emotional bandwidth is finite. When AI increases the pace and volume of work, the biological system does not scale in parallel.

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Sarvam 105B shows strong, balanced performance across core capabilities including mathematics, coding, knowledge, and instruction following. It achieves 98.6 on Math500, matching the top models in the comparison, and 71.7 on LiveCodeBench v6, outperforming most competitors on real-world coding tasks. On knowledge benchmarks, it scores 90.6 on MMLU and 81.7 on MMLU Pro, remaining competitive with frontier-class systems. With 84.8 on IF Eval, the model demonstrates a well-rounded capability profile across the major workloads expected of modern language models.

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Фото: Lehtikuva / Petri Korteniemi / Reuters