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Haoning Wu, Teo PRO

teowu
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https://teowu.github.io

AI & ML interests

Lead of Q-Future: https://github.com/Q-Future. I love MLLMs/LMMs/LVLMs/(any names you call them). Part of two great MoE VLMs as core contributors: Kimi-VL & Aria. Living and Cooking in Singapore Now.

Recent Activity

upvoted a paper 2 days ago
Generative Frame Sampler for Long Video Understanding
reacted to fdaudens's post with 👍 8 days ago
You might not have heard of Moonshot AI — but within 24 hours, their new model Kimi K2 shot to the top of Hugging Face’s trending leaderboard. So… who are they, and why does it matter? Had a lot of fun co-writing this blog post with @xianbao, with key insights translated from Chinese, to unpack how this startup built a model that outperforms GPT-4.1, Claude Opus, and DeepSeek V3 on several major benchmarks. 🧵 A few standout facts: 1. From zero to $3.3B in 18 months: Founded in March 2023, Moonshot is now backed by Alibaba, Tencent, Meituan, and HongShan. 2. A CEO who thinks from the end: Yang Zhilin (31) previously worked at Meta AI, Google Brain, and Carnegie Mellon. His vision? Nothing less than AGI — still a rare ambition among Chinese AI labs. 3. A trillion-parameter model that’s surprisingly efficient: Kimi K2 uses a mixture-of-experts architecture (32B active params per inference) and dominates on coding/math benchmarks. 4. The secret weapon: Muon optimizer: A new training method that doubles efficiency, cuts memory in half, and ran 15.5T tokens with zero failures. Big implications. Most importantly, their move from closed to open source signals a broader shift in China’s AI scene — following Baidu’s pivot. But as Yang puts it: “Users are the only real leaderboard.” 👇 Check out the full post to explore what Kimi K2 can do, how to try it, and why it matters for the future of open-source LLMs: https://huggingface.co/blog/fdaudens/moonshot-ai-kimi-k2-explained
reacted to fdaudens's post with 🔥 8 days ago
You might not have heard of Moonshot AI — but within 24 hours, their new model Kimi K2 shot to the top of Hugging Face’s trending leaderboard. So… who are they, and why does it matter? Had a lot of fun co-writing this blog post with @xianbao, with key insights translated from Chinese, to unpack how this startup built a model that outperforms GPT-4.1, Claude Opus, and DeepSeek V3 on several major benchmarks. 🧵 A few standout facts: 1. From zero to $3.3B in 18 months: Founded in March 2023, Moonshot is now backed by Alibaba, Tencent, Meituan, and HongShan. 2. A CEO who thinks from the end: Yang Zhilin (31) previously worked at Meta AI, Google Brain, and Carnegie Mellon. His vision? Nothing less than AGI — still a rare ambition among Chinese AI labs. 3. A trillion-parameter model that’s surprisingly efficient: Kimi K2 uses a mixture-of-experts architecture (32B active params per inference) and dominates on coding/math benchmarks. 4. The secret weapon: Muon optimizer: A new training method that doubles efficiency, cuts memory in half, and ran 15.5T tokens with zero failures. Big implications. Most importantly, their move from closed to open source signals a broader shift in China’s AI scene — following Baidu’s pivot. But as Yang puts it: “Users are the only real leaderboard.” 👇 Check out the full post to explore what Kimi K2 can do, how to try it, and why it matters for the future of open-source LLMs: https://huggingface.co/blog/fdaudens/moonshot-ai-kimi-k2-explained
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Organizations

Moonshot AI's profile picture Nanyang Technological University's profile picture t2v-eval's profile picture MLX Community's profile picture Q-Future's profile picture VideoPT's profile picture VLMHardPrompt's profile picture LongVideoBench's profile picture Rhymes.AI's profile picture Scaling Up Long Video Understanding for LMMs's profile picture