Researcher Nathan Lambert recently visited China's top AI laboratories to evaluate their current technical trajectory. He found a landscape focused on rapid iteration and scaling, though constrained by hardware access. These insights reveal how Chinese teams optimize models under pressure. Practitioners should monitor these efficiency gains as they challenge Western compute-heavy paradigms.