@MaxForAI: After reading the remarks of former Qwen researcher Hongyi Yuan @yiguyuan20, I finally understand why the foundational models from major Chinese tech companies can't make real progress... So pointing out mistakes or telling the truth requires seniority?
Summary
Remarks by former Qwen researcher Hongyi Yuan reveal a culture of seniority in foundational model R&D at major Chinese tech companies, which stifles newcomers from raising objections or innovating, hindering model breakthroughs.
View Cached Full Text
Cached at: 06/30/26, 03:42 PM
After reading the remarks from former Qwen researcher Hongyi Yuan @yiguyuan20, I finally understand why Chinese big tech companies can’t build strong foundation models…
So pointing out mistakes or speaking the truth requires seniority-based ranking now? 🤣
If that’s the case, how could a fresh graduate or intern possibly have the right (or dare) to challenge training methods or propose new ideas?
They haven’t learned a single good thing, only picked up the “Alibaba flavor” — isn’t that right? 😅 https://t.co/EdtibIXYYy
Similar Articles
@10xmylife: 不发展自己的大模型能行吗?
Financial Times reports on China's AI talent war, highlighting Moonshot founder Yang Zhilin's ability to retain a top research team amid aggressive poaching by large tech companies.
@vivilinsv: A serial entrepreneur I particularly like and admire, @quxiaoyin Xiaoyin, has been on fire on X recently. She made a very sharp judgment: Chinese open-source models will continue to gain market share, and may even become one of the "worst-case scenarios" for the US AI ecosystem—if Chinese models not only occupy the model layer...
Discusses how Chinese open-source models could become a threat to the US AI ecosystem, and the future competitive landscape between open-source and closed-source models, sparking widespread discussion in the AI community.
@Sxy_Cherotich: Recently I've been talking with quite a few model researchers, and a consensus conclusion is: the importance of data is once again highlighted. A while ago I got to know ex-Kimi's @FanqingMengAI, who is doing a startup in the data direction, and invited him to record a podcast. The biggest non-consensus from our conversation is Fanqing's view on the difference between domestic and foreign models...
A podcast about AI model competition, discussing the importance of data, distillation and pre-training innovation, and an interview with Evolvent AI co-founder Meng Fanqing, covering topics such as synthetic data, RSI, and differences in domestic models.
@intheworldofai: Qwen 3.7-Max is genuinely one of the most impressive agentic coding models I’ve tested in a while. I had it generate a …
阿里巴巴发布了通义千问 3.7 Max,一款专为智能体时代设计的旗舰编码模型。该模型在长周期自主执行、前端生成和3D场景构建上表现突出,多项基准测试中与顶尖闭源模型持平甚至超越,是接近前沿的中国模型。
@Xudong07452910: Let the model set its own problems, solve its own problems, and train itself — the biggest fear is learning incorrect problems along with the correct ones. This paper by the Qwen team proposes Skill Self-Play, adding a continuously updated skill library to the model's self-evolution. There are three roles in training: The Proposer generates tasks that are just challenging enough based on the skills...
The Qwen team proposes the Skill Self-Play framework, which significantly improves model capabilities on tool-calling and reasoning tasks through the collaboration of Proposer, Solver, and a dynamic skill controller in self-play.