A 10 Trillion Bet: Behind ByteDance's Refusal to Take the Distillation Shortcut, How Fierce is Zhang Yiming's Long-termism?
ByteDance's Zhang Yiming has explicitly rejected using distillation methods to catch up with frontier large models, willing to sacrifice short-term interests for the long term, with the goal of placing the Seed model in the world's first tier.
ByteDance founder Zhang Yiming set the tone in an internal meeting, explicitly opposing the use of model distillation technology to quickly catch up with frontier large language models. This decision indicates that the company has chosen a long-term R&D path that focuses more on building basic capabilities, rather than pursuing short-term performance metric improvements.
Currently, global large model competition has entered deep waters. Chinese vendors such as Moonshot AI, Alibaba, and Zhipu AI have performed brightly in the latest rankings, occupying nearly half of the global top ten seats. In this context, ByteDance's choice to refuse shortcuts means it hopes to seek breakthroughs from underlying architecture and training methods to establish more durable technical barriers.
This strategy may lead ByteDance to face greater compute investment and R&D pressure in the short term, sacrificing some immediate commercial returns. However, in the long run, if the Seed model can successfully enter the world's first tier, it will greatly consolidate ByteDance's strategic position in the artificial intelligence field and lay a solid foundation for subsequent agent and application ecosystems.
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