Hao Hao

Occamy-1.0, a cost-efficient co-work model obtained by further training the post-trained Qwen3.6-35B-A3B checkpoint, is presented and placed at the low-cost knee of the observed cost--performance Pareto frontier.

Safety in education-facing LLMs is inversely related to their teaching effectiveness, challenging assumptions about model specialization.

Forget brute-force scaling: the secret to better educational AI agents lies in carefully structuring their roles, skills, and tools.

LLMs can gain 40% in knowledge transfer efficiency by mining skills from open-source agent repositories, without needing retraining.