手順:
- /System/Library/LaunchDaemons/com.apple.atrun.plist で、
Disabledをfalseに変更 - /System/Library/LaunchDaemons/com.apple.atrun.plist を再ロード
手順:
Disabled を false に変更| /* original posted in https://neos21.net/blog/2020/01/17-01.html */ | |
| /* 1. basically override */ | |
| @font-face { | |
| font-family: "Yu Gothic"; | |
| src: local("Yu Gothic Medium"),local("YuGothic-Medium"); | |
| } | |
| @font-face { | |
| font-family: "Yu Gothic"; |
| http://neos21.hatenablog.com/entry/2017/01/08/234540#4-Xubuntu-%E3%82%92%E8%B5%B7%E5%8B%95%E3%81%97%E6%97%A5%E6%9C%AC%E8%AA%9E%E5%85%A5%E5%8A%9B%E3%81%A7%E3%81%8D%E3%82%8B%E3%82%88%E3%81%86%E3%81%AB%E8%A8%AD%E5%AE%9A%E3%81%99%E3%82%8B |
JavaScriptコンソールにペーストして動作を確認できる
new Date().toLocaleDateString('ja-JP-u-ca-japanese', { era : 'long', year : 'numeric', month : 'long', day : 'numeric', weekday : 'short', hour12 : true, hour : 'numeric', minute : 'numeric', second : 'numeric'})
用法
// 和暦にするには 'ja-JP-u-ca-japanese' を指定する
new Date().toLocaleDateString('ja-JP-u-ca-japanese', {
| # AFF | |
| # 如果你想支持我,可以通过我的邀请链接购买机场 | |
| # 感谢支持 | |
| # 1. ssLinks 邀请码: fSo2OhzH https://98a6251b6cd7471da86cca993b6dbe6f.36d.biz/#/register?code=fSo2OhzH | |
| # 2. 一元机场 邀请码: r3f1duds https://xn--4gq62f52gdss.top/#/register?code=r3f1duds | |
| # 一定要填我的邀请码,不填我哭给你看😭 | |
| # mihomo (Clash Meta) 懒人配置 | |
| # 版本 V1.23-251221 |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
| --- Actions --- | |
| $Copy <M-C> | |
| $Cut <M-X> <S-Del> | |
| $Delete <Del> <BS> <M-BS> | |
| $LRU | |
| $Paste <M-V> | |
| $Redo <M-S-Z> <A-S-BS> | |
| $SearchWeb <A-S-G> | |
| $SelectAll <M-A> | |
| $Undo <M-Z> |
| Generic keys is default keys from Microsoft will allow you to install or upgrade to a specific Microsoft software you want, | |
| but will not activate it. if you want to activate it , you can buy the Microsoft Retail Product Keys from Keyingo.com | |
| Microsoft Generic Product Keys for All Editions | |
| Windows Server 2022 Datacenter | |
| WX4NM-KYWYW-QJJR4-XV3QB-6VM33 | |
| Windows Server 2022 Standard | |
| VDYBN-27WPP-V4HQT-9VMD4-VMK7H |