Chinese AI Researchers Are Moving to X, and It Is Changing How the West Reads China's AI Boom

Dozens of scientists from labs like Moonshot AI and DeepSeek now post regularly on X, filling a gap left by increasingly tight-lipped Western counterparts at OpenAI and Anthropic.

AI2Day NewsdeskAI-assistedPublished Updated Editor: Lee Brown4 min read
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Key points

  • Around 30 Moonshot AI staff, including two cofounders, had active X accounts as of late June 2025.
  • Chinese researcher Meng Fanqing says he began posting actively on X in mid-2025, after DeepSeek's R1 model went viral worldwide at the start of the year.
  • Several DeepSeek employees whose passports were reportedly confiscated by the Chinese government still post regularly on X.
  • Independent AI analyst Tiezhen Wang says OpenAI and Anthropic researchers have grown noticeably quieter on social media as their companies have scaled.
  • Domestic Chinese platforms Zhihu and Xiaohongshu are seen by technical researchers as too superficial for serious AI discussion.

For years, Western observers assumed China's AI labs were a black box. A quick scroll through X suggests that picture is out of date.

Over the past year, researchers from some of China's most prominent AI companies have joined X in growing numbers, posting about their work, debating ideas with Western colleagues and building public profiles. Wired AI first reported the trend, drawing on interviews with researchers across the Chinese AI community. We've tracked the broader pressure on Chinese AI from Washington across [14 stories since July](/ story/why-chinese-ai-keeps-sending-silicon-valley-into-a-spin); what's striking here is that the researchers themselves are now making the case directly.

Who is actually posting?

Moonshot AI, the Beijing startup behind the Kimi K3 reasoning model, leads the way. By late June 2025, roughly 30 people claiming current Moonshot affiliation had active X accounts, including two of the company's cofounders. Staff from Minimax and Z.ai are also visible. Even some employees at DeepSeek, which made headlines globally when its R1 model (a reasoning system that matched top Western models at a fraction of the cost) went viral in early 2025, post regularly despite reportedly having their passports held by Chinese authorities.

Meng Fanqing, cofounder of startup Evolvent AI and a former Moonshot intern who worked on the Kimi K2.5 model, is direct about why. "X is the best community" for AI discussion right now, he says, citing its recommendation algorithm and its mix of Chinese and international audiences.

Why not stay on Chinese platforms?

Chinese platforms don't offer the same environment for serious technical exchange.

Zhihu, a question-and-answer site once compared to Quora and popular with professionals, has shifted heavily toward fiction and entertainment content since 2020. Expert contributors have drifted away. Xiaohongshu, known in the West as RedNote, attracts a less technically focused crowd. When Moonshot published a notable research paper in March 2025, one current researcher (who spoke anonymously because they weren't authorised to talk to media) said Chinese platform readers fixated on the authors' ages and family backgrounds, while foreign readers discussed the science.

What does this mean for Western readers of AI news?

It narrows the gap between what Chinese labs are doing and what the rest of the world understands about them.

Tiezhen Wang, an independent AI analyst and former researcher at Hugging Face (the company behind one of the most widely used open-source AI tool libraries), says researchers at OpenAI and Anthropic have grown quieter as those companies have become large and protective of their methods. "I guess they feel that their model architecture and how they train the model is kind of a secret, so they're posting less," he says. Chinese researchers are stepping into that attention vacuum.

Wang, who advised Moonshot in a one-off consultation in 2025, says there's a commercial logic too. "The AI industry works just like the finance industry now," Meng says. "Each individual and company needs their own branding." A researcher with a following on X gives their employer reach that a corporate press release never could.

For ordinary readers, the practical upshot is this: following researchers directly, rather than waiting for translated summaries, is now a realistic way to track what Chinese AI labs are actually building.

"People have a lot of wrong hallucinations about what China is doing," Wang says. "X is the door for them to better understand China."

The thing worth watching isn't whether more researchers join X. It's whether the posts stay candid once companies realise how closely Western analysts are reading them.

Common questions

Does this mean Chinese AI research is now fully open?

No. Companies like DeepSeek still keep core training methods and model architectures private. What's changed is that individual researchers now share context, paper discussions and professional opinions publicly, which is more than was visible before.

Should I trust what these researchers post?

Treat their posts as you would any source: useful colour and context, not official company positions. As with Western researchers, individual views don't always reflect employer strategy, and researchers do have an interest in building their own public profiles.

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