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ByteDance founder tells staff to avoid AI distillation, The Paper reports
BEIJING, Aug 6 (Reuters) - ByteDance founder Zhang Yiming has told the Chinese internet giant's staff to avoid improving its AI models by distilling rival systems, even at the expense of some short-term gains, China's state-backed outlet The Paper reported on Thursday. Known as model distillation, the method uses the outputs of a powerful AI system to train or improve a smaller model and ā has become a flashpoint in an intensifying tech race between China and the United States. Reporting by Ethan Wang and Eduardo Baptista; Editing by Emelia Sithole-Matarise Our Standards: The Thomson Reuters Trust Principles., opens new tab
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ByteDance banned AI distillation in 2023, before it was useful
ByteDance founder Zhang Yiming reportedly banned researchers from distilling rival AI models in 2023, years before US sanction threats made abstention politically useful. ByteDance is the one major Chinese lab Anthropic has not accused of distillation, and its models have been surpassed by several smaller Chinese rivals that were named. ByteDance founder Zhang Yiming reportedly forbade the company's AI researchers from distilling rival models, according to The Information, a policy that dates to 2023. The timing matters because it predates the period when avoiding US retaliation became a commercial priority, as the Pekingnology newsletter noted. Distillation involves feeding queries to a powerful model, collecting the outputs, and using them to train a cheaper system that approximates the original. It has become the central flashpoint in the US-China AI dispute. The company that was not named ByteDance is conspicuously absent from Anthropic's accusations. The US lab alleged that DeepSeek, Moonshot AI, and MiniMax used roughly 24,000 fraudulent accounts to generate more than 16 million exchanges with Claude in a coordinated extraction campaign. Alibaba's Qwen operation was accused of the largest known effort, some 28.8 million exchanges using nearly 25,000 fraudulent accounts. Those charges are what triggered Washington's sanction threats. Treasury Secretary Scott Bessent warned in July that Chinese firms could face financial sanctions and Entity List blacklisting over what he characterised as model theft. The White House had already reclassified covert distillation by adversarial states as a national security threat in April. Enforcement is the hard part Declaring distillation illegitimate is easier than proving it happened. The White House policy memo accusing China of industrial-scale distillation committed to intelligence sharing with US labs, but detection relies largely on usage patterns rather than anything visible in the finished model. The ambiguity runs deep. OpenAI's Greg Brockman called Moonshot's Kimi K3 "pretty good" while declining to confirm whether it involved distillation, which is roughly where the evidence sits for most of these claims. What abstaining cost The guidelines reportedly sparked intense debate inside ByteDance, whose best models have been surpassed by smaller Chinese labs. Its Doubao-Seed-Code model and Trae coding tool have underperformed against Zhipu's GLM 5 and Moonshot's K2. Moonshot went on to release Kimi K3, a 2.8-trillion-parameter open-weight model that developers ranked above GPT-5.6 Sol and Fable 5 on a blind coding leaderboard. Moonshot is a fraction of ByteDance's size. The commercial picture is less bleak than the benchmarks suggest. Doubao reached 345 million monthly active users by March, well ahead of Qwen at 166 million and DeepSeek at 127 million, and ranked second globally by app users behind ChatGPT. Why ByteDance in particular No Chinese technology company has more to lose from American regulatory attention. TikTok has spent years under US political pressure, which makes ByteDance uniquely exposed to any accusation of intellectual property theft. That exposure explains the caution, but not the chronology. A 2023 policy cannot have been designed to avoid sanctions that were not threatened until 2026, which suggests either unusual foresight or a genuine research position. The compute constraint Beijing is pressing its labs to build better models with less compute, a demand shaped by export controls rather than preference. Distillation is an obvious shortcut under those conditions, which is what makes refusing it costly. China is also tightening its own grip on model access. Beijing has weighed curbing overseas access to its top AI models, and issued guidance in July requiring export licences for model weights and training pipelines leaving the country. The convergence question The Economist argued this month that US models still offer better value but that convergence is likely to continue. If that holds, the strategic question is whether Chinese labs can sustain the pace without borrowing from American systems. ByteDance has effectively volunteered to answer it. Whether abstention proves to be principle, foresight, or an expensive mistake depends on results nobody can yet measure.
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ByteDance founder tells staff to avoid AI distillation, The Paper reports
BEIJING, Aug 6 (Reuters) - ByteDance founder Zhang Yiming has told the Chinese internet giant's staff to avoid improving its AI models by distilling rival systems, even at the expense of some short-term gains, China's state-backed outlet The Paper reported on Thursday. Known as model distillation, the method uses the outputs of a powerful AI system to train or improve a smaller model and has become a flashpoint in an intensifying tech race between China and the United States. o Zhang told a recent internal ByteDance meeting that AI development requires "long-termism and delayed gratification, rather than using others' output to achieve short-term leaderboard rankings," The Paper said, citing sources within the company. o ByteDance should be willing to "sacrifice some short-term gains for long-term goals," Zhang told the company's Seed AI research team, according to the report.Zhang says AI distillation interferes with genuine long-term technological breakthroughs, The Paper said. o There's fierce competition among Chinese developers to push out cheaper and more powerful AI models. o Washington and leading U.S. AI firms have accused Chinese rivals of using the distillation technique to extract capabilities from proprietary models. o U.S. Treasury Secretary Scott Bessent has warned that Chinese companies could face financial sanctions or placement on U.S. trade blacklists, while Beijing accused Washington of "AI hegemonism" and threatened countermeasures. (Reporting by Ethan Wang and Eduardo Baptista; Editing by Emelia Sithole-Matarise)
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ByteDance founder Zhang Yiming has instructed staff to avoid AI distillationāusing outputs from larger, more powerful systems to train smaller models. The directive, dating back to 2023, prioritizes long-term technological breakthroughs over immediate competitive advantages, even as rivals surge ahead using the controversial technique.
ByteDance founder Zhang Yiming has explicitly directed the company's staff to avoid improving AI models through distillation of rival systems, even at the expense of some short-term gains, according to China's state-backed outlet The Paper
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. The directive, which reportedly dates back to 2023, positions ByteDance uniquely among major Chinese AI labs as tech competition between China and the U.S. intensifies around this controversial practice2
.AI distillation involves feeding queries to a powerful model, collecting the outputs, and using them to train a cheaper system that approximates the original
2
. This method has become a flashpoint in an intensifying tech race between the United States and China, with Washington and leading U.S. AI firms accusing Chinese rivals of using the technique to extract capabilities from proprietary models3
.Source: Market Screener
At a recent internal meeting with ByteDance's Seed AI research team, Zhang Yiming emphasized that AI development requires "long-termism and delayed gratification, rather than using others' output to achieve short-term leaderboard rankings," according to sources cited by The Paper
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. Zhang told the team that ByteDance should be willing to "sacrifice some short-term gains for long-term goals," arguing that AI distillation interferes with genuine long-term technological breakthroughs3
.The timing of this policy matters significantly. The 2023 directive predates the period when avoiding U.S. retaliation became a commercial priority, suggesting either unusual foresight or a genuine research position rather than a politically motivated decision
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.ByteDance stands out as the one major Chinese lab that Anthropic has not accused of distillation. The U.S. lab alleged that DeepSeek, Moonshot AI, and MiniMax used roughly 24,000 fraudulent accounts to generate more than 16 million exchanges with Claude in a coordinated extraction campaign
2
. Alibaba's Qwen operation faced accusations of the largest known effort, involving approximately 28.8 million exchanges using nearly 25,000 fraudulent accounts2
.These charges triggered serious responses from Washington. U.S. Treasury Secretary Scott Bessent warned that Chinese companies could face financial sanctions or placement on U.S. trade blacklists over what he characterized as model theft
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. The White House reclassified covert distillation by adversarial states as a national security threat in April, while Beijing accused Washington of "AI hegemonism" and threatened countermeasures3
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Source: The Next Web
The guidelines reportedly sparked intense debate inside ByteDance, whose best AI models have been surpassed by smaller Chinese labs that allegedly employed distillation techniques
2
. ByteDance's Doubao-Seed-Code model and Trae coding tool have underperformed against Zhipu's GLM 5 and Moonshot's K22
.Moonshot subsequently released Kimi K3, a 2.8-trillion-parameter open-weight model that developers ranked above GPT-5.6 Sol and Fable 5 on a blind coding leaderboard, despite Moonshot being a fraction of ByteDance's size
2
. However, the commercial picture remains less bleak than benchmarks suggest. Doubao reached 345 million monthly active users by March, well ahead of Qwen at 166 million and DeepSeek at 127 million, ranking second globally by app users behind ChatGPT2
.No Chinese technology company has more to lose from American regulatory attention than ByteDance. TikTok has spent years under U.S. political pressure, making ByteDance uniquely exposed to any accusation of intellectual property theft
2
. This exposure explains the caution around using outputs from larger more powerful systems.Beijing is pressing its labs to build better models with less compute, a demand shaped by export controls rather than preference, making distillation an obvious shortcut under those compute constraints
2
. China is also tightening its own grip on model access, weighing curbs on overseas access to its top AI models and issuing guidance in July requiring export licenses for model weights and training pipelines leaving the country2
. ByteDance has effectively volunteered to answer whether Chinese labs can sustain competitive pace without borrowing from American systems, though whether this abstention proves to be principle, foresight, or an expensive mistake depends on results nobody can yet measure2
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