ByteDance founder rejects distillation as US targets Chinese labs

Photo by Claudio Schwarz on Unsplash.
- ByteDance founder Zhang Yiming has ruled out distillation for the company’s AI models.
- The stance separates ByteDance from the covert copying the White House accuses Moonshot AI of using to build Kimi K3.
- It comes as Washington threatens sanctions over distillation, and the US-China model gap narrows.
The founder of ByteDance, Zhang Yiming, has said distillation will not be used to train the company’s AI models. This differentiates the company from other Chinese AI labs that have been accused of using the distillation technique.
This comes as US officials have accused Chinese labs of using the technique to bridge the gap with American AI models. Washington officials have gone as far as threatening sanctions.
Zhang draws a line when everyone else is cutting corners
The Information report states Zhang Yiming is vehemently against distillation in training the company’s AI models. Zhang has decided to be more hands-on in ByteDance’s AI ambitions and has met with senior researchers to get first-hand knowledge, while keeping tabs on the company’s recruitment efforts.
This is important because it lands at a critical time in the AI race. Just this same month, US officials have upped the ante in their fight with Chinese labs over the practice of distillation. ByteDance also owns Seedance, a profitable and performance-leading video model, and a rare feat amongst Chinese AI products.
Why Washington frowns at distillation
Distillation is simply the training of weaker AI models on the responses of stronger models. This ensures that the smaller AI systems learn to imitate the larger system. Distillation is done openly and happens to be a routine part of the AI industry. It is considered legal, though it is usually done on a small scale.
Michael Kratsios, who serves as director of the White House Office of Science and Technology Policy has alleged that Moonshot AI distilled Anthropic’s Fable model when building Kimi K3, its AI system.
He stated this in an X post that Moonshot ran the operation via a purpose-built internal platform, which rotated access routes in a bid to evade detection and used NVIDIA GB300 servers in Thailand, which are barred from being exported to China by US export rules.Â
Anthropic reportedly traced 3.4 million Claude conversations to Moonshot via fake accounts. Moonshot is yet to respond to these allegations.
How ByteDance built Seedance, its leading AI model
ByteDance had its turning point in a totally different way. The company took a gamble on Seedance 2.0 despite internal wrangling over the model’s high cost and aggressive scale. The video model was built to scale past the 200 billion parameters mark, but was considered too ambitious by some within the company.
The move panned out as the models’ gross margin hovered around 70-90%, after the company spent big on GPUs, data and world-class recruitment.
Washington says the AI gap is closing
The battle over distillation is the tip of the iceberg. Scott Bessent, the Treasury Secretary has floated placing sanctions if and when Chinese companies adopt distillation on an industrial scale. A bipartisan House bill would make it easy to identify and sanction distillation attempts.
The numbers have prompted urgent action. Despite outspending China on AI by a 23 to one ratio, the US has lost its lead over China in the AI race. As per Stanford’s Institute for Human-Centered AI, the top models from both countries are pretty much the same.Â
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FAQs
What did ByteDance's founder say about distillation?
Zhang Yiming ruled out using distillation to train ByteDance's AI models, distancing the company from the technique at the center of the current US-China dispute.
What is Moonshot AI accused of doing?
White House official Michael Kratsios accused Moonshot AI of covertly distilling Anthropic's Fable model at industrial scale to build Kimi K3, using a purpose-built internal system and restricted NVIDIA GB300 servers based in Thailand.
How did ByteDance's Seedance model succeed without distillation?
ByteDance invested heavily in talent, data, and GPUs and backed researcher Zeng Yan's push to scale Seedance 2.0 past 200 billion parameters, producing a model that now drives more than half of Volcano Engine's model-as-a-service revenue.

Hannah Collymore
Hannah is a writer and editor with nearly a decade of blog writing and event reporting experience in the crypto space. At Cryptopolitan, Hannah contributes to the news page, reporting and analyzing the latest developments in DeFi, RWA, crypto regulation, AI and frontier tech industries. She graduated from Arcadia university with a degree in Business Administration.
















