khang06

These are some fairly unorganized notes from reverse engineering the SayoDevice O3C. I doubt this information would be useful for most people, but it's better to put it out there than to leave it publicly undocumented.

Useful Links

CH32FV2x_V3x Reference Manual

CH32V307 SDK and samples

MounRiver Studio (toolchain for the CH32)

SayoDeviceStreamingAssistant

Klerith

Curso Docker - Guía práctica de uso para desarrolladores

FNGarvin

The EASIEST way to get going creating images RIGHT NOW is with stable-diffusion.cpp. It has no external dependencies, so you don't have to fight Python or torch. Download the cuda binaries and exe if you have NVidia or otherwise grab this for Vulkan that runs on Intel, NVidia, and AMD.

Unzip and it should look something like this:

Download some models to the same folder. Getting these three would be a good start: model, vae, llm.

Write a batch

victor-falcon

# ── Theme ─────────────────────────────────────────────────────────────
theme = dark:"zenwritten_dark",light:"zenwritten_light"
background-opacity = 0.9
background-blur = 24

# ── Font ──────────────────────────────────────────────────────────────
font-family = "Cascadia Code"
font-feature = ss01, ss02, ss03, ss19, ss20, calt, ss01
adjust-cell-height = 75%
font-size = 14

ryuya0124

// ==UserScript==
// @name         Open YouTube App
// @version      1.0.4
// @author       ryuya
// @match        *://*.youtube.com/*
// @downloadURL  https://gist.github.com/ryuya0124/2ba4f56cf9e9dab781d3146c74a3f36b/raw/open-youtube-app.user.js
// @updateURL    https://gist.github.com/ryuya0124/2ba4f56cf9e9dab781d3146c74a3f36b/raw/open-youtube-app.user.js
// @homepage     https://gist.github.com/ryuya0124/2ba4f56cf9e9dab781d3146c74a3f36b
// ==/UserScript==

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.

ongkiii

🗂️ REPOS/TELEGRAM CHANNELS LIST

By u/angkitbharadwaj

• Visit fmhy.net/android-iosguide#ios-ipas for more sources.
• Sideloading Guide: https://rentry.co/sideloadingguide, https://ios.cfw.guide/sideloading-apps/

RabaDabaDoba

/*
 * This is free and unencumbered software released into the public domain.
 *
 * For more information, please refer to <https://unlicense.org>
 */

//Regular text
#define BLK "\e[0;30m"
#define RED "\e[0;31m"
#define GRN "\e[0;32m"

voluntas

デスマーチが起きる理由 - ３つの指標

著者： 青い鴉（ぶるくろ）さん @bluecrow2

これは結城浩さんの運用されていた YukiWiki に当時 Coffee 様 (青い鴉（ぶるくろ）さん）がかかれていた文章です。 ただ 2018 年 3 月 7 日に YukiWiki が運用停止したため消えてしまいました。その記事のバックアップです。

今は 404 ですが、もともとの記事の URL は http://www.hyuki.com/yukiwiki/wiki.cgi?%A5%C7%A5%B9%A5%DE%A1%BC%A5%C1%A4%AC%B5%AF%A4%AD%A4%EB%CD%FD%CD%B3 になります。

昔、自分がとても感銘を受けた文章なので、このまま読めなくなるのはとてももったいないと思い、バックアップとして公開しています。

gskema

<?php

/** @noinspection ? */

// PhpUndefinedGotoLabelInspection                           Undefined goto label
// PhpUndefinedVariableInspection                            Undefined variable
// PhpUndefinedMethodInspection                              Undefined method
// PhpUndefinedNamespaceInspection                           Undefined namespace
// PhpUndefinedClassInspection                               Undefined class
// PhpUndefinedFunctionInspection                            Undefined function