观易堂
把千年术数，讲成你听得懂的话
What it does
观易堂是一个以AI命理为核心、连接传统术数与现代阅读体验的中文文化平台。网站目前围绕八字提供完整而连贯的服务：用户输入出生日期、时辰与性别后，即可获得四柱命盘，并查看日主、十神、藏干、地势、纳音、神煞、干支关系、五行力量、大运流年与小运童限等信息。开启真太阳时校正后，还可结合出生城市与准确时间进行更精细的排盘。 观易堂不只给出结果，也重视结果从何而来。五行板块会区分天干、地支与藏干来源，结合月令、旺衰和力量权重呈现判断依据，帮助用户避免把“缺某个五行”简单理解为吉凶。综合概览则提炼命格、强弱、命宫、胎元、当前大运等关键信息，并以更易读的语言形成整体评语。 排盘报告可以生成独立链接，方便分享给亲友或专业人士继续讨论，也支持导出为PDF或图片；遇到陌生术语时，还能进入玄学百科查看解释。所有板块使用同一份命盘数据。无论是第一次接触八字，还是希望核对命盘细节，观易堂都致力于提供有依据、有结构、看得懂的现代命理体验。
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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I might be the only SRE on Earth with his own bowling center. It's a more in-depth gig than you'd think. My family and I bought an abandoned 8-lane bowling center in the rural mid-west. In our small town there weren't many recreation options for families. You've heard of a food desert? This is an R&R desert. It had been abandoned for a good reason. The roof leaks, the electrical system was constantly surging, and my 70-year-old bowling equipment (still) doesn't work perfectly. The system that keeps your score is particularly interesting to me. It's the thing you watch during your game, but…
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Over the past few months, our team has been building more and more slidedecks using web frontend technologies with coding harnesses like Claude Code, but a common complaint is to make even small edits we need to edit the code either manually or via the harness. To avoid this loop, I ended up creating Bento, a single HTML file with everything you need in a slide tool including animations and shared editing. There's no install or cloud login, everything works offline. The default deck is around 560 KB and it doesn't need to fetch anything once you got it. Open it in a browser and then you can…
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A few days ago I found myself trying out GLM 5.2 and was really positively impressed. The capabilities and security I was getting from this LLM are similar to those I've gotten from models like Claude or GPT, and this really surprised me. But then I thought, "I wonder how it would work on a normal computer like mine," and above all, "I wonder if it would work without going into OOM on a computer like mine." So I started working with the help of agents to test this possibility. I started converting the model to int4, understanding MTP usage, and if possible implementing DSA for long context.…
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