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HOME/PEOPLE/YANG ZHILIN
// PERSON

Yang Zhilin

ROLE CO-FOUNDER & CEOAT MOONSHOT AIMENTIONS 9LAST SEEN JULY 24, 2026
// BIO

Yang Zhilin is the co-founder and CEO of Moonshot AI, a Chinese AI startup he founded in March 2023 alongside two Tsinghua University classmates. He holds a Ph.D. in Computer Science from Carnegie Mellon University and previously conducted research at Google Brain and Facebook AI Research, where he is best known as the first author of XLNet and co-first author of Transformer-XL, two widely cited papers that advanced long-context and language understanding in large language models. Moonshot AI's flagship product is Kimi, a conversational AI assistant, and the company has raised over $2 billion in funding at a valuation exceeding $20 billion.

Discussed in
// RECENT MENTIONS
// SIGNALS
9 SIGNALS
01
funding·Newcomer Newsletter·JULY 24, 2026

now reportedly raising at a $50 billion valuation

Source
02
product·Newcomer Newsletter·JULY 24, 2026

Kimi K3 was officially released on July 16 and showed itself seriously competitive with American frontier models on performance benchmarks and price...it's about one-third the cost of OpenAI, Anthropic, or Gemini 3.1 Pro.

Source
03
product·The AI Corner·JULY 23, 2026

Moonshot's specific edge: switching from Adam to the Muon optimizer, which accounts for dependencies between parameters rather than treating them independently. In effect, 30 trillion tokens behaves like 60 trillion — a 2x efficiency gain with no additional data.

04
mention·The AI Corner·JULY 23, 2026

The market conflates benchmark reasoning scores with real-world agent performance — but they are built differently and scale differently. Yang argues that acting against live environments is its own capability axis.

05
mention·The AI Corner·JULY 23, 2026

Cloud's reasoning performance is not very high, but its performance as an agent is very high... The contrarian implication: benchmark leaderboards are the wrong scorecard for product investors. A model that ranks 4th on reasoning but 1st on real-world task completion is more valuable as a product.

06
mention·The AI Corner·JULY 23, 2026

He compares it to the steam engine... the same lag Demis Hassabis maps onto the next few years.

07
mention·晚点聊 LateTalk·JUNE 10, 2026

He had a very clear Tech Vision. On Day 1, he spoke about building a Super App. And this was when they didn't even have a model yet, let alone an app.

Source
08
funding·晚点聊 LateTalk·JUNE 10, 2026

Wang Xinyu led Longzhu's investment in July 2023 — the fund's only LLM investment.

Source
09
mention·晚点聊 LateTalk·JUNE 10, 2026

Luo Tianchen's generational vintage led him to solve the hardest AI problem of his era — L4 autonomous driving problems within computer vision. Yang Zhilin's vintage led him to solve large language models in NLP.

Source

AI-extracted from podcast / newsletter / paper summaries. May contain errors.