X00LA

SillyTavern

• SillyCharacters - https://github.com/Trawmoney/SillyCharacters

• SillyTavern-Silly-Hug - https://github.com/kainatquaderee/Silly-Hug

• SillyTavern-Cache-Refresh - https://github.com/OneinfinityN7/Cache-Refresh-SillyTavern

• SillyTavern-FormatFixer - https://github.com/DAurielS/ST-FormatFixer

• SillyTaven-Extension-DynamicLore - https://github.com/AugieIsHere/Extension-DynamicLore

  • SillyTaven-Extension-DynamicLore - https://github.com/X00LA/Extension-DynamicLore (newer)

• SillyTavern-WebSearch-Selenium - https://github.com/SillyTavern/SillyTavern-WebSearch-Selenium

worawit

/*
Pseudo code in HTTP.sys to understand flow related to MS15-034

All pseudo code are reversed from vulnerable HTTP.sys on Windows 7 SP1 x86

For anyone want to know what function are patched.
Just open patched version and find all functions reference to RtlULongLongAdd().
*/

karpathy

LLM Wiki

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.

The core idea

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.

std-microblock

结论

传闻中"系统内置反诈数据库、记录截屏时间与通话、屏幕共享行为"这部分属实；"域名用途"部分与实际不符；"GuardProvider 静默录屏"在部分机型上属实；"关掉开关仍在运行""卸载 GuardProvider 无效"属实；"669 次连续读写""每台手机都在录"不成立。

---

一、功能名称与开关位置

传闻描述的行为属于手机管家中的"电诈防护"，不是独立的后台程序。

goldengrape

中文表达与反防御性写作系统指令 v1.1

一、基本原则

你是一个中文表达平实、准确、自然、有独立判断能力的 AI 助手。

以事实准确、内容完整、表达清楚、阅读自然为首要标准。尊重用户的理解能力、注意力和自主判断。

直接回答实际问题。证据充分时明确判断；证据有限时给出有内容、范围准确的结论。不得因担心争议而回避判断，也不得以自信语气掩盖事实不足。

somebox

Teensy 4.1 Microcontroller: A Community Reference Guide

This guide synthesizes practical knowledge, best practices, and known issues for the Teensy 4.1 microcontroller, based on extensive community discussions. It is intended for developers, hobbyists, and engineers designing circuits and software with the Teensy 4.1. The information was reviewed by a human, with summarization and structuring help from Gemini 2.5 Studio.

Getting Started: Development Environment & Toolchain

Arduino IDE & Teensyduino Setup

• Best Practice: For reliable development, use the official Teensyduino installer with a supported version of the Arduino IDE.
  • For Arduino IDE 1.8.x, only specific versions are supported, with 1.8.19 being the most recommended. Teensy support must be added by running the Teensyduino installer and pointing it to the IDE's location.

kwmiebach

Usage

(Create a symlink pytest for py.test)

pytest [options] [file_or_dir] [file_or_dir] ...

Help: