Today marks my last day at ByteDance Seed. Over the past 3 years, I had the opportunity to work across two of the most exciting frontiers in AI: AI for Drug Discovery and building frontier LLMs. Few opportunities in a career allow one to work simultaneously on curing disease and building frontier intelligence. I was fortunate to do both. Since joining ByteDance, I have led the AI for drug discovery effort. Together with an exceptional team and collaborators, we built SeedFold, the world's first biomolecule structure prediction model to outperform AlphaFold 3 across a broad range of benchmarks and capabilities; SeedProteo, a state-of-the-art protein binder design model surpassing AlphaProteo, RFdiffusion, Chai-2, BinderCraft, and BoltzGen ; and the DPLM series of protein language models, along with several other ambitious AI for Science projects. In early 2025, I took on a new challenge. To tackle one of the hardest problems in modern AI, reliably training and scaling frontier-scale LLMs, I joined the LLM pretraining effort and founded the LLM optimization and scaling team. Together, we built a highly scalable pretraining stack that enabled the successful training of Seed 2.0 and the subsequent frontier-scale models, significantly advancing our ability to train and iterate on frontier AI systems at scale. I'm deeply grateful to my teammates, collaborators, and leadership for an incredibly rewarding journey. The best model is yet to come. Scaling continues!
突发:字节 Seed 预训练负责人顾全全离职。 顾全全(Quanquan Gu),UCLA 计算机系副教授,清华本硕,2014 年在 UIUC 取得计算机 PhD,导师 Jiawei Han。2023 年加入字节 Seed,同时主导两条核心线:AI for Science 与前沿 LLM。 AI for Science 方向:带队做了 SeedFold(在多个蛋白相关 benchmark 上超越 AlphaFold3)、SeedProteo(de novo 全原子蛋白设计,超越 AlphaProteo/RFdiffusion 等)以及 DPLM 系列蛋白语言模型。 2025 年初转向 LLM 预训练,组建 LLM 优化与扩展团队,参与 Seed 2.0 训练,构建了高度可扩展的预训练 stack。 他是 Seed 里少有的同时打通生物 AI、基础模型和 scale 能力的人。要被抢疯了。祝 Gu 老师一切顺利🎉 【引用原文】今天是我在字节跳动 Seed 的最后一天。过去三年,我有幸同时在两个最令人兴奋的 AI 前沿工作:AI for Drug Discovery 与前沿 LLM 构建。我带领团队完成了 SeedFold、SeedProteo 和 DPLM 系列,以及多个 AI for Science 项目。2025 年初,我加入 LLM 预训练团队并创建了 LLM 优化与扩展团队,构建了支撑 Seed 2.0 及后续 frontier 级模型训练的高可扩展预训练 stack。感谢所有队友、合作者和管理层。最好的模型还未到来。Scaling 继续!
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