Ethan Sun retweeted
“穿上它!你紫腚行!”
岁月是把指甲刀,时光温柔如内裤。
纯棉日抛内裤,霸总恋爱必备。
守护女性幻想,避免自己暴露在互联网的风险当中,成为段子的主角。
女性送礼佳品,
爱他,就给他蛋蛋的陪伴。
内裤文学鼻祖、颖学创始人亲笔签名,30天【预售】发货。
鸡飞蛋打的爱情,
一举两得的守护。
纯棉呵护的温柔,
一周七抛的奢华。
不做随便男孩,
从穿全棉日抛内裤开始。
利润部分将捐赠给流浪动物保护组织,用于中国境内流浪狗救助公益事业。
【淘宝】e.tb.cn/h.8Px7mHXXC4q1MdG?tk… tG-#22>lD 「亲笔签名男士纯棉日抛内裤七条装护蛋不求人」
点击链接直接打开 或者 淘宝搜索直接打开
Grok Build now lets you resume your recent Claude Code, Codex, and Cursor sessions directly from the main prompt
Just type:
• /resume-claude
• /resume-codex
• /resume-cursor
You can instantly pick up a recent coding session and continue working with Grok 4.5 inside Grok Build
No need to start over, rebuild the entire context, or explain everything you were working on
Grok picks up where you left off and lets you continue your workflow seamlessly
Ethan Sun retweeted
As engineering, product, design, DS, etc. melt into a new kind of role, I was reflecting on what roles might look like in the future. For example, when I look at the Claude Code team I see what I think is five archetypes:
1. Prototyper: comes up with brand new ideas; churns out many ideas, most of which don't ship
2. Builder: quickly turns a prototype/idea into production-grade product/infra
3. Sweeper: cleans up the UI, simplifies the code and system, unships, optimizes performance
4. Grower: takes a product that has been built and iterates on it to improve Product-Market Fit
5. Maintainer: owns a mature system to make it secure, reliable, fast, and efficient as it scales
Many people span across 2 roles, and sometimes 3 roles. I also notice that these roles are not really tied to job function -- eg. across Anthropic, some designers match category 1, some 2, some 3; same for engineers, PM, DS.
A healthy team needs a mix of these, depending on the product:
- A product that is new and pre-PMF needs people that are strong at 1+2+3
- A product that is growing and has found PMF needs 2+3+4 and some 5
- A product that has strong PMF needs 3+4+5 and some 2
Maybe product roles of the future will look more like this, and less like the domain-specific roles of today?
Ethan Sun retweeted
Anthropic’s complaint has all the hallmarks of an incumbent technological leader unsettled by the prospect of capable rivals and eager to enlist political power to preserve a market advantage.
Technological diffusion is not a Chinese invention. It is how economic history works. Europe borrowed silk, porcelain, papermaking, and countless other technologies from China. The United States built much of its early industrial strength by appropriating British manufacturing know-how. Every great technological power has learned from its rivals.
Yet when Chinese firms become capable competitors, we are suddenly told that the normal circulation of knowledge is an existential threat.
If Anthropic’s capabilities can genuinely be replicated through question-and-answer interactions, that is less an indictment of Chinese ingenuity than a confession about the fragility of Anthropic’s own competitive moat. A company confident in its technological lead does not rush to Washington every time a rival catches up.
Beneath the rhetoric of “AI theft” lies a simpler anxiety: Chinese AI firms are improving rapidly, and American firms fear losing market dominance. The real issue is not espionage but competition.
History offers a clear lesson. Technological leadership is never preserved by complaining that others are learning. It is preserved by innovating faster than they do. Anthropic appears increasingly interested in the former because it is less certain of the latter.
Anthropic accused Chinese technology giant Alibaba of waging a large-scale effort to “illicitly” access its Claude AI model using thousands of fraudulent accounts bloomberg.com/news/articles/…
How did GLM-5.2 (Max) get to the top of Code Arena: Frontend? Looking at matched head-to-head on real-world web dev frontend tasks, @Zai_org's latest model takes a higher win share than its opponent in every pairing but one.
- Beats every Claude Opus variant head-to-head: including Opus 4.8 (Thinking) and Opus 4.7 (Thinking)
- Widest margins come against strong models: 61.0% vs Kimi-K2.6, 59.4% vs Sonnet 4.6 and 55.0% vs Opus 4.7 (Thinking).
- The closest fight isn't from the very top: GPT-5.5 (xHigh), ranked #16, pushes it hardest at 41.7% to 40.0%. Opus 4.6 is the other (47.0% to 42.4%).
There is a generational nuance here. Versus its own predecessor GLM-5.1, the latest model is tied: 45.5% - 45.5%. The jump shows up against the field, the one pairing without a clear win is in a direct rematch with 5.1.
Exciting news: GLM-5.2 (Max) ranks #2 in Code Arena: Frontend, with +29pt over Claude Opus 4.7 (Thinking) and only behind Fable 5! GLM-5.2 is the best open model vs Kimi-K2.6 and Minimax-M3 by a large margin.
- #2 React and #4 HTML sub-leaderboards
- Ranks as the top model in nearly all sub categories: Brand & Marketing, Reference-Based Design, Data & Analytics, Consumer Product, Gaming, and Simulations.
Congrats @Zai_org for the incredible milestone!
在 AI 时代,人们喜欢创造这种神话,也有很多人喜欢听这种神话。似乎有了 AI 你就会无所不能,你就会很快变现,好像AI 能让赚钱变得像呼吸一样简单。说句实话,AI 是能力的放大器,它能让有能力的人更加强大,而无能的人依旧无能。
Un étudiant chinois de 19 ans, Zhang Wei, a développé un radar IA et l’a vendu à Hong Kong pour 550 000 $.
Il l’a créé avec Claude, en dépensant seulement 20 $ et un mois de développement.
Il est entré dans les bureaux de l’administration de Hong Kong avec une simple clé USB et a demandé cinq minutes de leur temps. Trente minutes plus tard, il en ressortait avec un chèque de 550 000 $.
Le programme, relié à une caméra, détecte la vitesse en temps réel. Si la vitesse dépasse la limite autorisée, Claude enregistre automatiquement un extrait vidéo et identifie le propriétaire grâce à la plaque d’immatriculation du véhicule. La vidéo ainsi que l’amende sont ensuite envoyées automatiquement à l’adresse e-mail du propriétaire.
Contrairement à un radar classique qui ne prend qu’une photo et dont les résultats peuvent parfois être contestés, ce radar IA élimine les litiges grâce à l’enregistrement vidéo. Il rend également tout le processus entièrement autonome en émettant lui-même les amendes.
L’article inclut les configurations prêtes à l’emploi.
Ethan Sun retweeted
Everyone benchmarks GLM-5.2 against the frontier now. So we did too.
We pulled GLM-5.2's plan up against Claude Fable 5's, the plan that won our last frontier round. Same prompt, same task, same rubric.
Fable scored 9.1. GLM-5.2 scored 9.0.




























