PaperAgent

May 14, 2026 · Artificial Intelligence

New Paradigm for LLM Alignment: Insights from Two Recent Anthropic Papers

Anthropic's two May papers reveal that simple SFT/RLHF is insufficient for safe LLMs; inserting a model‑spec mid‑training stage and synthetic‑document fine‑tuning dramatically reduces agentic misalignment, improves data efficiency, and enables models to reason about values before acting.