Years Away from Catching Up with the International AI First Tier? Zhang Yiming Discusses ByteDance's Large Model R&D Goals

Years Away from Catching Up with the International AI First Tier? Zhang Yiming Discusses ByteDance's Large Model R&D Goals

AIbase Base

Recently, reports emerged that ByteDance founder Zhang Yiming said at a recent internal all-hands meeting with the AI team that ByteDance is capable of competing with OpenAI and Anthropic, but truly catching up with the international frontier of technology may take until 2029 or 2030 at the earliest.

He emphasized that ByteDance's large models should benchmark against the international first tier, and that the current Seed series models still lag behind top overseas AI companies in pretraining dataset scale, which is an issue requiring focused attention at this stage.

According to foreign media reports, ByteDance's Seed team is pretraining a model with up to 10 trillion parameters, whose scale is expected to reach the magnitude of Anthropic's most advanced model.

This is not the first time Zhang Yiming has emphasized the long-term path for ByteDance's AI development. Previously, he said at internal meetings that model R&D requires long-termism and delayed gratification, and should not rely on the outputs of other models in exchange for short-term leaderboard rankings.

This statement once again clarifies ByteDance's competitive goals in large model R&D, and reflects its emphasis on foundational model capabilities, pretraining data scale, and long-term technical accumulation.

This article comes from the AIbase Daily

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