Suspended Account

[奶昔🥤 @realNyarime]

热知识：https://t.co/vFLUb6g7X8、https://t.co/2EhAXAJpLi等谷歌系域名在中国大陆没有被墙
甚至像Google字体、reCAPTCHA均享受免ICP备案的特权

[雾月 @WuYueMeow]

招商银行万事达普卡，办理门槛最低的跨境支付银行卡🤔（？），工作人员只要求了出示一下学信网或者学生证，然后极速办理拿卡✅

[Xudong Han @Xudong07452910]

昨天心血来潮整理了一下中美大模型名字的由来，发现还挺有意思。

原来很多 AI 模型名，不只是品牌名，更像是一句隐藏的自我介绍。

中国模型：
1. Qwen / 通义千问：
「通义」有理解万物之义，「千问」就是回答千百种问题。Qwen 基本就是「千问」的国际化写法。

2. GLM：
来自 General Language Model，直译就是「通用语言模型」。名字很学术，也很清华系，先讲技术范式，再讲产品人格。

3. Kimi：
来自月之暗面创始人杨植麟的英文名。更有意思的是，Moonshot AI「月之暗面」据说还和 Pink Floyd 的《The Dark Side of the Moon》有关。

4. DeepSeek：
中文名叫「深度求索」。Deep 是深度，Seek 是寻找、求索。这个名字很直白，但也很符合它的气质：不太会讲故事，主要靠技术结果说话。

5. MiniMax：
来自 AI 和博弈论里的 minimax 算法，大概意思是：在最坏情况下争取最优解。这个名字其实很工程师，听起来像在说「我要把风险压到最低，把收益拉到最高」。

6. MiMo：
小米的大模型名，带着很强的小米品牌感：Mi + Mo。名字很轻，但定位不轻，更像是小米「人车家」生态里的智能底座。

美国模型：
7. ChatGPT：
最朴素，也最成功。Chat + GPT。GPT 是 Generative Pre-trained Transformer。原本技术味很重，但加了一个 Chat，瞬间变成人人都能理解的产品。

8. Claude：
一般认为来自 Claude Shannon，也就是信息论之父克劳德·香农。Anthropic 给模型起了一个人的名字，也让它从一开始就更像「助手」，而不是「机器」。

9. Gemini：
双子座。这个名字一方面对应 Google Brain 和 DeepMind 的合并，另一方面也暗合多模态：文字、图像、音频、视频，多种能力像「双子」一样合在一起。

10. Grok：
来自 Robert A. Heinlein 科幻小说《异乡异客》里的词，意思接近「深度理解」「彻底领会」。这个名字很马斯克：极客、科幻、有点叛逆，还带着 X 平台的社交气质。

看完这些名字会我发现，中国模型更喜欢「能力感」和「志向感」：千问、求索、通义、智谱。美国模型更喜欢「人格感」和「文化梗」：Claude、Gemini、Grok。

一个像是在说「我能做什么」；
一个像是在说「我是谁」。

[Mathematica @mathemetica]

Calculating shortest paths across the globe requires spherical trigonometry.

Comparison of the cosine rule in the plane with its spherical counterpart on a sphere of radius r.
- Plane: c² = a² + b² - 2ab cos C.
- Sphere: cos(c/r) = cos(a/r) cos(b/r) + sin(a/r) sin(b/r) cos C.
It adjusts for curvature since a, b, c are arc lengths on the sphere.

It is used in aviation and maritime navigation for optimal great-circle routes, in astronomy for angular calculations, and in global surveying and GPS technology.

[Math Files @Math_files]

In the 1960s, a direct flight to Neptune would have taken nearly 30 years. That was longer than most spacecraft could survive. Reaching the outer planets seemed almost impossible.

But one engineer, working quietly with a pencil, found a way around this problem.

Gary Flandro, a scientist at NASA’s Jet Propulsion Laboratory, was asked to study how spacecraft might travel to the distant planets despite the limits of rocket technology at the time. Fuel was scarce, and engines were not powerful enough for such long journeys.

Flandro turned to a clever idea from physics called a gravity assist, sometimes known as a planetary slingshot. The concept is simple in principle. When a spacecraft passes close to a large planet, the planet’s gravity pulls it in and then flings it forward. In doing so, the spacecraft steals a tiny bit of the planet’s motion around the Sun. The planet slows down by an amount too small to notice, but the spacecraft gains a huge increase in speed without using any fuel.

With only paper, pencil, and the limited computers of 1965, Flandro calculated the future positions of Jupiter, Saturn, Uranus, and Neptune. What he found was remarkable. In the late 1970s, these giant planets would line up in a rare formation. This alignment would allow a single spacecraft to travel from one planet to the next, gaining speed at each step.

This opportunity appears only once every 176 years.

Flandro showed that a spacecraft could use Jupiter’s gravity to reach Saturn, then use Saturn to reach Uranus, and finally use Uranus to reach Neptune. This chain of boosts would cut the travel time to Neptune from about 30 years down to just 12.

This elegant piece of mathematics changed everything.

It became the foundation for the Voyager 1 and Voyager 2 missions, both launched in 1977. Thanks to this precise planning, the two spacecraft sent back the first close images of the outer planets. They later continued their journey beyond the solar system, becoming the first human-made objects to enter interstellar space.

All of it began with a simple insight, worked out by hand, that turned an impossible journey into a reachable one.

[いっちー@バーチャル精神科医 @ichiipsy]

ビーズをつかって「マクスウェル・ボルツマン分布」を再現する装置。
気体分子のばらつきを表す物理法則で、気体中の分子は全てが同じ速度で動いているわけではなく、遅い分子から非常に速い分子まで、決まった確率分布に従って飛び回っていることを示している。

[雾月 @WuYueMeow]

《身份证 准考证 学生证照片是三个人》
四级进场核验身份，监考老师在比对我准考证和身份证之后，神秘地看着我问“你身份证怎么照的女孩子的相？”
不过直接放我进去了（×）

[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

[iPaul @iPaulCanada]

女孩心理素质一流！高考政治开考50分钟后更换答题卡，只剩25分钟硬刚七道大题，已经不能用极限来形容，太敢了！

[The Scientific Lens @LensScientific]

A colleague at Caltech once challenged Feynman to explain why spin-½ particles obey Fermi–Dirac statistics in terms a freshman could understand.

Feynman happily accepted and promised to prepare a beginner-friendly lecture.

A few days later, he returned with an unexpected conclusion:

“I couldn’t do it. I couldn’t reduce it to a freshman level. That means we really don’t understand it.”

He took this as a lesson in teaching: if an idea can’t be explained simply, our understanding of it may not be as complete as we think.

The story became a reminder among students and faculty that even the greatest physicists should measure their knowledge by their ability to communicate it clearly. It also captured Feynman’s dislike of “cargo cult” teaching and his determination to cut through academic pretense.

[📦Acbox @AcboxLiu]

感觉稍微有了一点钱之后就开始提升生活质量了，这几个月换了个大房子，买了两套无印良品的床上四件套和睡眠枕，人体工学椅，升降桌，米家烘干机，米家饮水制冰净水一体机，米家自动猫粮机，米家自动宠物饮水机，戴森吹风机hd16，macmini 64G，未来视野4K显示器，家用舞萌手台
啊，花钱真爽，但看余额是真不爽🫠

[Alan.S @patrickstone222]

“人的本质是赌徒,不赌其实在赌自己输”

[サイバー環状線 @CyberKanjousen]

确实嘎嘎香，光看文字就已经流口水了🤤

[桃濑玲奈 @MomoseReina]

我喷短信验证码的原因很简单。Passkey和TOTP这些2FA方式是你自己的，放在你自己的设备里的。实在不行还有实体Passkey
而短信验证码并非是你的，是属于运营商的
等你用某些国家的号码登录TG被拦截或者登录推特被大数据“反诈”就老实了
有些人说了“我可以用文明国家号码”，那就更危险了，因为你人可能不在对应国家，哪天政策一改，系统一风控把你号收回去后你也老实了