
SY Horizon
提供解決日常生活麻煩的数位工具的綜合性平台:文學欣賞、避坑指南,歡迎寫手投稿,7天免費試用
What it does
多元視野,追蹤世界 SY Horizon (SY 視野) 是一個專為現代人打造的綜合性平台,旨在幫助使用者一站式解決 日常生活中的各種麻煩,同時提供深度的思想與文化視野。 與傳統工具或單一資訊網站不同,SY Horizon 巧妙融合了「實用效率」與「人文思考 」: * 輕鬆解決日常麻煩:提供多钟实用工具,網頁無水印影音下載、生活避坑指南、單位換算與智能任務處 理等實用功能,讓繁瑣的日常變得井然有序。 * 多元視野與文學欣賞:匯集深度報告文學、古典文學與多元媒體內容,為快節奏的生活 注入人文清流。 * 開放創作者生態:我們誠摯歡迎寫手投稿,建立開放共榮的知識分享社群。 * 7天付費工具免費試用:新用戶註冊登入即可解鎖全功能,親身體驗效率與視野的雙重升 級。 多元視野,追蹤世界。立即訪問 sylogs.com,開啟您的智慧數位生活新體驗!
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股仙傅立葉・量化視覺交易系統 v221d ago · fourier-stock-system-2.wellc-chen.chatgpt.site · ▲1#台股 #量化交易 #傅立葉分析 #股票回測 #技術分析 #投資工具 #免費工具



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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…
AI · 26d ago · cactuscompute.com


Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


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.
AI · 16d ago · simedw.com