Joined April 2016
1,062 Photos and videos
改了一个环境变量,部署后生产环境报错了。DeepSeek V4 Flash只花了1分钟就修复了,原因是`@nuxt/devtools`引入的vue版本与项目中的冲突了。 这种问题自己查的话怎么也得半小时起步。大概从今天起,写代码这件事就再也写不过AI了。
DeepSeek v4 flash is much smarter than our developers.
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我相信量变会引起质变,速度足够快之后现在 AI 的交互还能再做一遍。
当时cerebras的1000token/s的70b模型就觉得非常好,但是似乎很小众。 现在xiaomi mimo把1T的模型,也做到1000token/s了。 1000token/s的魅力还会继续小众吗。 时间很快就会证明mimo。
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最近我是真杀疯了,利用AI干了我很多平时想干又干不了的事情. 昨晚又睡不着,干到凌晨四点,把额度彻底拉爆了才睡觉,然后一个晚上把上次出的意外彻底恢复,解决了! 我这个小白最近利用AI具体做了哪些事情呢?我来跟大家分享分享: 1. 我利用Codex做出了二次利用展台平台(我自己把它定义为美国会展届的咸鱼网😂),我希望这个将来能成为我的一个副业,这个副业将有助于提升我们自己的接单量,同时也会有助于第一批所有认识我的同行们,大家都可以利用我的这个平台去赚钱,目前还在完善:boothflip.com/#browse 2. 我利用AI,设计了一个定期发送的客户邮件开发系统,AI真的是无所不能,很多我之前了解不到的工具现在我都知道了,这就等于什么呢,一个销售加了外挂后,能力翻倍,以后也可以不用担心分身乏术了,相当于多了几个业务员,它可以每天帮你发邮件,帮你通过Linkdin 或者Facebook 以及Instagram 去深度挖人,找到那个你想对接的人(目前我还没做到这么多,还在做群发邮件第一步) 3. 因为张同志总说AI还没办法做到自动报价系统,而这个问题困恼我很久,我必须解决,所以,这几天我不再听他等他了,我让AI帮助我,其实之前我就有这个想法,我喂给了Chatgpt 至少50多个报价案例,但是每次测试出来的结果都是不尽人意,最近我换Claude ,我才喂给它5-6个案例,然后测试居然正确率达到了80%,我就继续喂,昨天很惊喜到了90%,接下来我会继续喂,以后我每对外报价一个案子我就喂给他,当它拥有了很多细节数据后,我相信他能达到95%至少,那就够了. 已经比我自己的大概预估要更准确了. 我还教它帮我去查大会费用,不需要我每次费很大劲去查,会极大的缩短时间提高效率; 4. 像这种利用Netlify做出临时宣传海报网站并上线是分分钟的事情,我就是从完全不知道,就昨天有这个设想,告诉AI后,一个小时就研究出来了. coreexpo.netlify.app ,这是个样板, 它的好处是什么呢?就是当你想去开发某一个展会客户的时候,你可以为这个展会定制一个海报宣传页,把你历年来做过这个展会的案例,你的优势都列出来,这样针对性的推广比起一个固定的官网应付所有不同行业客户要吸引多了. 5. 接下来,我还会继续搞紧急打印网站,展会人才网站以及公司官网,想做的事情太多了,慢慢来. 我把话放在这里,张同志要是继续这么不思进取,电脑方面迟早也会被我反超,他会丧失更多话语权的,哈哈😂
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这才是 AI Native 的做法嘛,不然人人都会开发,但是极少数人会部署。本来我都想做一个这种了,一想到挖个坑又填不完,作罢。
vercel 牛逼,这是 ai-native 典范啊 把你的网站 zip、folder 丢进就能部署,不管是啥框架
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虽然这个交互很有道理,但已经是上几个时代应该研究的事了。UI行业经过这么多年触控屏的洗礼之后,消费级APP中多级菜单已经很少了,很多APP连菜单都没有了。
This is why native menus feel so much better. Prediction cone / safe triangle — the invisible area that stops submenus from closing when you move diagonally. props @sorenblank
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We went from 0 to 2,200 paying customers in under a year by following @ycombinator's 15 rules: 1/ Do things that don't scale. Get your first 10 customers by hand. 2/ Launch now, not when it's "ready". A mediocre product in front of real users teaches you more in a week than 6 months of polishing in the dark. 3/ Charge from day one. If nobody will pay, you don't have a startup, you have a hobby. 4/ Talk to users every single day. The roadmap you need is sitting in your customers' heads, and they'll hand it to you for free 5/ Always hunt the 90/10 solution. For almost any feature there's a way to capture 90% of the value with 10% of the effort. 6/ There are only two real jobs: write code and talk to users. Everything else (conferences, press, VC coffees, corp dev calls) is fake work. 7/ You pick your customers as much as they pick you. 10 users who love you beat 1,000 who kind of like you. 8/ Growth is an output, not a strategy. Grow before product market fit and all you're buying is churn. 9/ Do less, really well. Pick one or two metrics and judge every task against them. 10/ Know if you're default alive. Paul Graham's question: on current growth and current burn, do you reach profitability before the money runs out? 11/ Don't hire until it hurts. Headcount is not progress, it's burn. Every great startup was embarrassingly small for embarrassingly long. 12/ Momentum is the only real moat in year one. Ship something every week, even something tiny. 13/ Every great startup is badly broken at some point. The game isn't avoiding fires, it's how fast you put them out. Again. And again 14/ Ignore your competitors. Startups die of suicide, not murder. In year one, the only company that can kill yours is your own 15/ Startups rarely die from running out of money. They die because the founders fall out. Brutal honesty with your cofounder is the cheapest insurance you'll ever buy Good luck !
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我万万没想到我还开了Copilot套餐外灵活使用,今天就用了1个多小时,还用的是GPT-5.3 Codex,被坑2刀。
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小米Mimo Code这个背景做得非常独特,喜欢。
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方案写好以后,用 DeepSeek 就能搞这么复杂的重构了。一天就把双写的部分搞上线了,放以前真难以想象要搞多久。
We are performing a large database schema refactor for #TinkMail accounts and email addresses. AI has provided us with an effective approach: backfill → dual-write → dual-read and compare → deprecate old schema. It's working very well, and progress is proceeding smoothly.
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TIL: TOCTOU 利用检查和使用之间的时间差来攻击系统。
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因为身在支付行业,其实对这个问题想的挺多的,我的思考大概是这样。 NFC 是个非常小众的功能,NFC 支付本身也是相对小众的受理方式。 对人类来说,方便可能是一个时间成本的概念(操作简单一些,花时间少一些),但不熟悉确是一个注意力成本极高的事。 因为我在每一个地方支付场景都可以用二维码支付(无非是码不同,但都在支付宝或者微信里差不多的位置),那么复用这个肌肉和大脑记忆的成本,要远小于为了节约一点操作复杂度而去了解,学会,开通,记住 NFC。 注意力惯性是很值钱的。
为什么地铁刷nfc很方便但大部分人却选择使用二维码呢?现在手机基本都有nfc吧
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一会公众号就得有文章了:Facebook 放弃 React!
⚛️ React repos just moved! GitHub org: /facebook ➡️ /react This reflects the transition to the React Foundation (which will likely be today's newsletter headline BTW)
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一脸问号❓
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You’re stranded on a desert island with a laptop and a solar charger. You can only keep ONE Angular feature to build your survival app. 🌴💻 🔘 Signals for reactive fishing alerts? 🔘 @defer to save energy on your UI? 🔘 The CLI to generate a rescue boat? Which one are you choosing and why? Choose wisely ⬇️
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🚀 MiMo Code V0.1 is now live and open-source! More than an AI coding assistant in your terminal — it's the smartest coding partner you'll ever work with. Comes with MiMo V2.5, a multimodal model available free for a limited time, featuring a million-token context window—ready to use out of the box. ♾️ Infinite Context: Knowledge accumulates automatically, and with lossless compression, even million-line projects keep every critical detail intact—quality never drops. 🧠 Agent-Model Synergy: An Agent framework deeply optimized for MiMo, with a full closed loop of testing, review, and validation—so complex tasks get done in one pass. 📝 Compose Mode: Specs → Plans → Build → Report. Design first, code second—clear thinking, no rework. 🔄 Self-Evolving System: Every session is automatically reviewed, distilling experience and best practices—the more you use it, the smarter it gets. 🎙️ Voice Input: Powered by MiMo-V2.5-ASR — just speak instead of type, and your voice becomes the prompt for truly hands-free coding. 🔌 Claude Code Compatible: Automatically loads your existing skills, MCP servers and commands, and reuses your API configuration—zero-cost migration, no setup required. 🌐 Open & Flexible: MIT licensed, with support for leading model providers including Anthropic, OpenAI, DeepSeek, Kimi, GLM and more. Install in one line: Mac & Linux curl -fsSL mimo.xiaomi.com/install | bash (For the best experience,we recommand Mac user use it on iTerm or vscode terminal) Windows npm install -g @mimo-ai/cli 🔗 Learn more Website ↓ mimo.xiaomi.com/mimocode Blog ↓ mimo.xiaomi.com/zh/blog/mimo… GitHub ↓ github.com/XiaomiMiMo/MiMo-C…
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🌌 Tales from the Void: Our May 2026 Recap Don't miss out on the news: 🧡 VoidZero is now part of Cloudflare ⚡ Rolldown got its first stable release 🔒 Vite security patches 🧪 Vitest going engine-agnostic 🦀 Oxfmt up to 25% faster 👀 and more from the community Full recap 👇 voidzero.dev/posts/whats-new…
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今天读到一句很喜欢的话:人生体验是有利息的。 有些事不是做完就结束了,它会在往后的日子里反复回来,变成眼界,变成谈资,变成某种撑住自己的底气。 所以人还是要尽量多去体验,去看,去试,去靠近真实的世界。那些你曾经认真活过的瞬间,都会在未来的某一天,悄悄反哺你。
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现在是 2026 年年中,也许纯模型能力的竞赛告一段落了。后面应该看应用百花齐放了。
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2024年坏了一台群晖,临时买了一台二手机顶着,折腾了好久数据。现在2026年,这台二手机看起来又要坏了。 我以后可能不会再买NAS了,不出问题的时候用着很开心,一旦硬件出问题还是挺难伺候的。
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#观察 iOS 27的Spatial Reframe空间重构图挺有意思,苹果秀了一下自己在空间技术的积累,帮用户拯救一下相册里想删又舍不得删的废片。 从演示看,原理应该是在端侧生成3D图片,以最快速度让用户实现角度的微调,然后云端做扩图和细节生成。

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