使用JAV金鸡儿奖官网附带的工具JAV SQL 查询器，可查询各种类别的JavDB TOP250影片：

• JavDB TOP250
• JavDB 有码 TOP250
• JavDB 无码 TOP250
• JavDB 欧美 TOP250
• JavDB FC2 TOP250

及分年数据（存在部分重复影片，原始数据的问题）：

We're building a production-grade, simple and straight-forward 3D Game Engine for Windows, macOS and Linux (Ubuntu 24+). This is professional-grade software that needs to be stable, fully-tested, and real-world deployable. No hacks, no shortcuts - solid as a rock.

• Ask questions only when absolutely necessary - work autonomously
• IMRORTANT! DO NOT look outside of working directory or use other code on my computer as reference
• Start by asking question to determine engine name. Suggest a few
• Testing is of the utmost importance - use lots of unit tests (any framework, simple is good), run automated testing
• Setup a scene used for testing, which tests every single feature in the engine - all components, and entire scripting API

• First, you need to open cmd in the admin mode, then run all commands below one by one.

• For x86 and x64

cd /d %ProgramFiles(x86)%\Microsoft Office\Office16
cd /d %ProgramFiles%\Microsoft Office\Office16

The following information is based on the following articles:

• https://blog.thestateofme.com/2020/11/16/expanding-synology-volume-beyond-16tb/ -- which applies to DSM 6
• https://github.com/jmiller0/how-to-fsck-on-synology-dsm7

Old Synology NAS generations had a limitation of 16TB per volume.

A nice feature of Synology is that you can buy a new NAS and move the drivers from the old NAS to the new NAS and simply continue. However, when you do this, the volume is still limited to 16TB as the filesystem is 32bit. DSM does not offer an option to convert the filesystem to 64bit via the UI.

updated 8th Dec, 2025 for 1.21.10

This tutorial will explain from nothing how to build/create the CoreProtect plugin or 1.21.10 from it's source code on GitHub.

I am assuming you don't know anything and don't have anything installed and are using a Windows device.

Watch these tutorial videos (very short).

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.