simingg yyan

quantitative research. Future and option in China and Europe

[simingg yyan @Samoyansiming]

@whyyoutouzhele 这sb杂志发表sb言论不是一两天了

[宮下玲奈 @rena_miyashita]

VRだよん🍶

動画→https://t.co/RwKMVcXkWq

[min @subminima]

@linguinelabs

[Sir Doge of the Coin ⚔️ @dogeofficialceo]

USA vs Belgium tomorrow

[Joobey @Joobey_DE]

Menschen, die heute 60 Jahre alt sind, waren im Jahr 2001 erst 35 Jahre alt..

Das Leben ist wirklich nur ein kurzer Augenblick.

[plantegg @plantegg]

有点道理，终于知道为什么程序员老了不值钱。

[ollama @ollama]

You can use GLM-5.2 and Kimi-K2.7-Code in Codex with Ollama!

ollama launch codex

ollama launch codex-app

[Firecrawl @firecrawl]

Starting today, you can try Firecrawl for free without an API key 🔥

Search, scrape, and interact with any web page, plus parse any PDF into clean markdown, with no setup at all!

Start using our endpoints and only sign up when you scale.

Live on our MCP, CLI, and API now!

[小互 @xiaohu]

OpenAI 格局大了

宣布Codex （包含 App 客户端、命令行 CLI 和开发包 SDK）

支持直接接入任何开源大模型

不强制绑定 OpenAI 自家的模型

并且放出了一个文档：手把手教开发者如何把 Codex 客户端底层的“大脑”，替换成免费的开源模型…

[Noam Shazeer @NoamShazeer]

I’m excited to share that I’ll be joining OpenAI and look forward to working with the exceptional team there.

It was a difficult decision to move on. I’m incredibly proud of the amazing team at Google and everything we’ve built together. It has been an honor and a pleasure to work with all of you.

[Kafka @kafkasudo]

徐亦达教授（Prof Richard Xu），香港浸会大学数学系教授，“TadReamk Limited”创始人

他在 GitHub 上只有一个真正爆款项目：`machine-learning-notes`（9663 stars，1767 forks），一部 2000+ 页的机器学习、概率模型和深度学习的幻灯片合集，附带视频链接

除此之外的 13 个仓库，大多是无描述、无更新、无代码的“三无产品”。他拥有 5347 个 followers，但关注 0 人——绝对的知识输出者，社交黑洞

[Z.ai @Zai_org]

Introducing GLM-5.2: Frontier Intelligence, Open Weights

- Significant improvements in coding and agentic tasks
- Strong long-horizon capabilities with a 1M context window
- Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong balance between performance and token efficiency
- MIT-licensed open weights
- Same API pricing as GLM-5.1

Tech Blog: https://t.co/LAsxUdN0JZ
Weights: https://t.co/g0A1C4UWx4
API: https://t.co/Kc3E22cbN7
Coding Plan: https://t.co/Nk8Y98HNhU
Chat: https://t.co/WCqWT0qCQb

[Przemek Chojecki | PC @prz_chojecki]

Kimi 2.7 ranked 2nd after Fable 5 and before GPT-5 xhigh

We have re-run our ErdosBench smoke test on 14 problems with Kimi 2.7, Qwen 3.7 Max, Grok 4.3 and compared it with the top performers from previous runs.

Kimi 2.7 is amazingly good. More below.

[jietang @jietang]

GLM-5.2 is Fully Open, Frontier Intelligence Belongs to Everyone

Today, the sudden restriction of certain frontier models is deeply regrettable. At a time when access to frontier models is abruptly cut off for non-technical reasons, we are even more convinced of one thing: science should be global.

The path to AGI (Artificial General Intelligence) must never be enclosed by high walls. We have always believed that AGI should be the cornerstone for all of humanity to collaboratively explore the boundaries of intelligence and solve complex challenges, rather than a privilege monopolized by a few rules and subject to revocation at any moment. In the face of external blockades and restrictions, our attitude is one of radical openness. Frontier intelligence must remain open-source, accessible, and buildable, serving every dedicated developer.

GLM-5.2 is Zhipu's most capable open-source model to date. It not only supports a truly usable 1M context window but also maintains a continuous lead in the independent completion of long-horizon tasks, providing solid foundational support for building complex agent applications. It also continues to be our main engine for creating the strongest domestic coding model.

Tonight at 5:21—at this special moment—GLM-5.2 will officially be available to all GLM Coding Plan users (including Lite / Pro / Max). The API will also go live next week.

A step closer to frontier intelligence for everyone.
The future of AI is open, and it is for the people.
ModelKey: GLM-5.2

[Santi Torres @SantiTorAI]

Un desarrollador ucraniano creó un agujero negro en su terminal para obligarse a tomar descansos.

Cuanto más trabajas sin parar, más crece y deforma tu código con su lente gravitacional. Descansas y se encoge.

[Megumin_SAMA @Meguminsama2009]

国产应用进入大淫纹时代

[simingg yyan @Samoyansiming]

@dashen_wang 你是大专？

[simingg yyan @Samoyansiming]

@_JinZhengEn @Sizhe_bitcat 这赌王儿子何猷君啊

[simingg yyan @Samoyansiming]

@anblk984 @goshi_aoki 你这种小殖儿应该全面看空中国的。从未看多过

[恒星 @vintcessun]

为什么Muon训练大模型比Adam快近两倍，却没人说清原因？这个困局直接影响下一代优化器设计。这篇论文从曲率切入，把损失下降拆成一阶增益和二阶曲率惩罚，惊讶发现两者步长相当，但Muon的归一化方向锐度NDS显著更低——不是步大，是方向更聪明。尤其数据不平衡会放大这个优势，中后期训练核心来自更小的层内曲率。理论加实验，终于把玄学变成几何直觉。

https://t.co/mHVKSBCg06