🚀AI · 出海 · 思考者 | 用Claude写代码,用感悟治焦虑 |同好互关,共同进步🤝 Ethan Sun | Road not taken, but turning anyway.

Joined April 2012
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
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Ethan Sun retweeted
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
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武侠小说里的那些江湖高手,手拿一根树枝也一样可以横扫天下,可是对一个手无缚鸡之力的人来说,给他干将也罢,莫邪也罢,又有什么用处呢?好的工具需要与之匹配的能力和认知才能发挥作用,而好的工具不会带来能力和认知。
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这个家伙的推文让我想入非非,当然,这是中文语境下的联想。
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我被 claude 封号了,千小心万小心还是封号了,这种感觉很像意外怀孕。
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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?
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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.
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Ethan Sun retweeted
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!
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多和大模型说话,少和 2B 对话
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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.
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好的模型懂得自己 PUA 自己
GLM在抽什么风...
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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.
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别再无脑依赖AI的第一条回答了!想要更高效、安全地使用AI,建议养成这几个习惯: ✅ 交叉验证:用Claude、GPT或Gemini对比答案,不一致就是信号。 ✅ 验证信源:不要轻信引用的数据,亲自去查原始来源。 ✅ 深度提问:直接问AI“这个回答哪里可能错了?” AI很强,但判断力必须掌握在自己手里。
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据 The Information 报道,OpenAI 准备把 ChatGPT、Codex 和浏览器 Atlas 合并为一个桌面应用。
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How ChatGPT be treating u when u don't have the premium:
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我儿子最近特别喜欢奥特曼(不是 Sam Altman 🤖),但他经常把各种奥特曼认错 😂。 于是我用 AI 给他做了一个网页版奥特曼图鉴 ,每个奥特曼都有详细介绍,方便他随时查。 结果做着做着,我发现自己其实也只认识昭和、平成这两代,而且平成的还认不全 🥲。 那一瞬间突然想起很久以前的下午:我坐在家门口,和小朋友们一起翻奥特曼画册 📖☀️。 原来时间真的会在不知不觉里,跑得这么快。
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Codex 现在对话风格有时候觉得很奇怪,这到底是什么奇怪的口癖啊?
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新的马原
the book of elon 这么快就有中文版了 《马斯克原理》
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