宝玉
@dotey
AI Engineer, dedicated to learning and disseminating knowledge about AI, software engineering, and engineering management.
1.7K Following 240.5K Followers
@KareliKagit @Polymarket If you use hermes, use the baoyu-infographic skill by @dotey, and set gpt image 2 or nano banana as your imagen, then your set!
The real Open AI of the world.
your agents, anywhere
try Cursor on iOS today
在 AGENTS/CLAUDE MD 里面加一句：
Every implementation task that changes files MUST end with a git commit before the final response.
- Inspect `git status` before editing and treat pre-existing or concurrent changes as user-owned.
- Review the final diff and run proportionate verification before committing.
- Stage only files or hunks that belong to the current task. Never bundle unrelated changes unless the user explicitly asks.
- Use a concise descriptive commit message on `main`, report the commit hash, and do not push, amend, or rewrite history unless asked.
- Read-only tasks and tasks with no file changes do not create empty commits.
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hello, world! i'm daniel! currently i'm the head of r&d of MiniMax code @MiniMax_AI, which is a frontier ai lab in china.
i enjoy working on our ai-native product @MiniMaxAgent . i'm really obsessed with this question: what does an ai-native organization look like? how can our organization co-evolve together with llms?
besides that, i'm passionate about open source. i'm the co-author of the deerflow project, which is a representative work in harness engineering and has 78k 🌟 on github.
if you're passionate about open source, foundation models, or agents- or if you enjoy playing basketball or riding a road bike - let's chat and be friends! :)
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Just like I predicted: Kimi K3's license requires inference providers to enter a separate commercial agreement (ARR > $20M).
Kimi might be the first company doing a "fabless" business model.
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验证了我几周前的预言: Kimi 的开放权重模型 K3 ，有单独的商业授权协议，在这样的协议下，模型训练和推理可以在商业上分开，就和半导体设计与制造一样。
围绕着开放权重模型会有一整套的生态和公司，比如专门从事为企业应用微调的，专门做 prefill-only 适配的等等。这种生态系统层面的力量，是封闭厂商完全没法匹配的。
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After 3-4 months of iteration, Open Minis — "possibly the best Agent app on your phone" — has stabilized into a mature architecture, now powering tens of thousands of users' daily workflows.
Today we're open sourcing all of it: the full iOS and Android code.
A real on-device AI agent: a native Linux shell, browser automation, extensible skills, persistent memory, and deep system integration.
Now, fork it, feel free to build your own on-device agent now. 🤗
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to @nikitabier ：
I understand that Grok’s capabilities are limited, and that your technology may not be able to automatically detect a lot of the spam that users find absolutely infuriating. That’s understandable.
But when I post something on X, I might get 4–5 genuine replies and 10–20 nearly identical spam replies. Are you seriously saying you still cannot deal with a pattern that obvious?
Fine. Give us a dedicated button for reporting coordinated or bulk spam replies under a single post. Even a very basic AI system should be able to assess whether such reports are credible, identify the spammers in bulk, remove their content, and suspend the accounts.
This really should not be that difficult.
Or do you simply not care?
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True. When I came back from the US and joined Kimi, I told my colleagues that many researchers at OpenAI and other frontier labs have access to thousands of GPUs. They were genuinely shocked. It’s incredibly hard to push frontier innovation in China when compute is so scarce.
So we are so proud that our team still made it happen.
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Chinese students are often down-to-earth do-ers, a critical characteristic in LLM era.
Yuxin Wu was my intern back in 2015 and I spent an hour debating with my former manager on the roof of Facebook building, arguing that he should be hired.
I won the debate by staking my reputation on it. Fortunately I was right.
It used to be the case that the business model is fixed and business workflow clearly decouples into vision + execution. Professional CEO/VP/Director focus on presenting the long-term vision, and junior people sit in the war room to do the grudging work to push the numbers up, and no one knows their names.
Things have changed substantially. The business pattern now depends on the technical strength of the models, which cannot be measured by a pre-defined set of benchmark numbers. Too many ways and too much incentive towards reward hacking, if sitting in a big hierarchy.
Technical-first now becomes critical. Sit down and get things to work. Get hands dirty, check the data and code, fast feedback loop, step out of the echo chamber, tear the pretty story apart and rewrite, ready to say "I am wrong". Let experiments tell the issues and be humble in front of AI.
That's why down-to-earth doers shine now. This applies to everyone including co-founders. Anything else follows.
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Moonshot AI, the company behind Kimi, has four core founders. Their backgrounds are unusually strong:
- Founder and CEO Yang Zhilin studied computer science at Tsinghua before earning his PhD from Carnegie Mellon. He was the first author of Transformer-XL and XLNet, and previously worked at FAIR and Google Brain.
- Co-founder and CTO Zhang Yutao earned his PhD in computer science from Tsinghua. His earlier work covered knowledge graphs and AMiner, and he previously co-founded Recurrent AI with Yang.
- Co-founder Wu Yuxin studied at Tsinghua and CMU before joining FAIR. He worked with Kaiming He on Group Normalization and also created Detectron2.
- Co-founder Zhou Xinyu studied computer science at Tsinghua and later joined Megvii, where he worked on turning research algorithms into production systems and co-authored ShuffleNet.
They all share one root: Tsinghua University.
Tsinghua is widely regarded as one of China’s top universities. In the latest U.S. News Best Global Universities ranking, it reached No. 6 worldwide.
Its influence on China’s AI industry extends well beyond Moonshot. the company behind the GLM models, also grew out of Tsinghua. Its co-founder and chief scientist, Tang Jie, was once Yang Zhilin’s teacher.
There is also a more personal connection.
Yang and Zhou formed a rock band together at Tsinghua. Moonshot AI’s Chinese name, 月之暗面, comes from Pink Floyd’s album The Dark Side of the Moon, one of Yang’s favorites.
Kimi may look like a young AI company. Behind it is a much older network of classmates, teachers, research labs, and friendships.
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Why can Kimi ship K3? Let me tell my story.
Earlier this year, I left academia for industry. I talked to a lot of companies along the way. Here's what I saw:
1⃣Arrogance. They believe the AI war is over, and they won. No hunger for the future, and no hunger for talent.
2⃣Restlessness. Young labs short on foundation, either rushing to catch the frontier or pivoting away from the competition.
3⃣Fear. Strong teams with real experience, but from the second tier, they can't quite bring themselves to aim for #1#.
4⃣Misalignment. Everyone is optimizing for their own credit, but nobody really cares whether the company can reach AGI.
Kimi was different.
Over many conversations with the founders, the same thing came through every time: a raw, genuine hunger for AGI.
I joined. The hunger was real.
We shipped K3. This is only the beginning.
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As Kimi K3 launches, check out our earlier podcast interview with Yang Zhilin, founder of Kimi. We recorded it right after K2 came out, and so much has changed over the past year.
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