Teaching Qwen Why

Researchers partially replicated Anthropic's Teaching Claude Why alignment methods on open-source Qwen models, finding that supervised fine-tuning on difficult advice transcripts drastically reduces agentic misalignment while fictional stories have a much smaller, plateauing effect. They observed that teacher model choice heavily impacts difficult advice performance and that generic AI personas work better than specific model identities during midtraining. Open article →