AI That Builds AI: Naive AI's Self-Evolving Models Beat Top Benchmarks in 151 Experiments

Naive AI demonstrates AI-driven R&D where agents autonomously redesign model architectures, optimize training systems, and achieve breakthrough benchmarks—Naive-N0.5-Flash surpasses larger models on coding and research tasks, while AI-built NaiveRT delivers 30-50x inference speedups and AutoWM sets new world model records through self-discovered algorithms.

AI for AIAI research agentsRecursive Self-Improvement

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AI That Builds AI: Naive AI's Self-Evolving Models Beat Top Benchmarks in 151 Experiments

Machine Learning Algorithms & Natural Language Processing

May 6, 2026 · Artificial Intelligence

How Qwen’s Mid‑Training with Value‑Document Guides Slashes Error Rates

Researchers at Claude applied the MSM (mid‑training) approach to Qwen models, inserting a value‑document pre‑training phase before alignment fine‑tuning, which reduced misalignment rates from 68%/54% to 5%/7% and cut required fine‑tuning data by 40‑60×, demonstrating superior generalization when combined with standard alignment.

AI AlignmentMSMQwen

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How Qwen’s Mid‑Training with Value‑Document Guides Slashes Error Rates

mid-training

AI That Builds AI: Naive AI's Self-Evolving Models Beat Top Benchmarks in 151 Experiments

How Qwen’s Mid‑Training with Value‑Document Guides Slashes Error Rates