Accusations that Chinese labs cheat by copying US models are misleading. The practice, known as distillation, is common across the industry (including by Elon Musk's xAI) and academia. Now, with Chinese labs dominating open source, American startups are increasingly building on top of Chinese models.

A critical imbalance exists in AI development: Chinese models can distill capabilities from top American models with few repercussions. Meanwhile, American open-weight startups face significant legal uncertainty for doing the same, creating an uneven playing field that favors foreign competitors in the global AI race.

Meta prohibits its AI engineers from using external tools like Codex and Claude for specific tasks. This is to prevent contaminating proprietary training data with outputs from rival models, a legal and technical problem called distillation that complicates proving a model's origin and could violate terms of service.

Despite impressive models from companies like DeepSeek, China's AI ecosystem is heavily reliant on "distilling"—essentially copying and refining—open-source models from the US. This dependency on an external innovation engine is a major weakness in their national strategy to achieve genuine AI leadership and self-sufficiency.

China is gaining an efficiency edge in AI by using "distillation"—training smaller, cheaper models from larger ones. This "train the trainer" approach is much faster and challenges the capital-intensive US strategy, highlighting how inefficient and "bloated" current Western foundational models are.

The ByteDance founder's ban on distilling US frontier models is less a technical decision and more a strategic geopolitical maneuver. By sacrificing short-term development gains, the company aims to de-risk its crown jewel, TikTok, from further accusations of IP theft that could trigger renewed, and potentially fatal, scrutiny from Washington.

ByteDance founder Zhang Yiming's refusal to distill US models is a calculated geopolitical move. By positioning itself as the one major Chinese lab not using controversial techniques, ByteDance aims to avoid US regulatory scrutiny. This "tortoise" strategy could allow it to operate in the US while its rivals are potentially blocked.

While foreign AI companies allegedly distill US models to accelerate progress, American counterparts like Meta refrain from the practice. The significant legal and reputational risks in the US create an uneven playing field, effectively handicapping domestic players who cannot leverage this powerful, albeit controversial, technique for model development.

Chinese firms are closing the AI capability gap by using "distillation" to replicate the intelligence of leading US models. This creates a strategic vulnerability, as copying software models is easier than replicating China's hardware manufacturing prowess.