sjvnnings

extends KinematicBody2D

export var move_speed = 200.0

var velocity := Vector2.ZERO

export var jump_height : float
export var jump_time_to_peak : float
export var jump_time_to_descent : float

StarKnightt

# Recreate this interactive 3D soda landing page in Next.js + React + TypeScript + Tailwind

You are an expert creative front-end developer. Build a **Next.js (App Router) project** with React, TypeScript, and Tailwind CSS that reproduces the design below exactly — same layout, visuals, motion, and interaction.

Use `pnpm` as package manager. Use GSAP for animations and Google's `@google/model-viewer` for 3D models. All 3D assets are hosted on a CDN (URLs below). The page should be a single full-viewport (no-scroll) hero landing page.

## Project Setup

```bash
pnpm create next-app@latest soda-landing --typescript --tailwind --app --eslint

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.

SeunghoonBaek

Scrabs from : https://gist.github.com/jsturgis/3b19447b304616f18657

• http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/BigBuckBunny.mp4
• http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/ElephantsDream.mp4
• http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/ForBiggerBlazes.mp4
• http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/ForBiggerEscapes.mp4
• http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/ForBiggerFun.mp4
• http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/ForBiggerJoyrides.mp4
• http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/ForBiggerMeltdowns.mp4
• http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/Sintel.mp4
• http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/SubaruOutbackOnStreetAndDirt.mp4

cpburnz

Here's a guide for setting up mixed eGPUs via USB4/Thunderbolt on a Strix Halo (AMD Ryzen AI Max+ 395) machine. This guide assumes CachyOS is used (an Arch Linux derivative) with the Limine bootloader. I did not test this with a desktop manager installed, nor did I attempt to use the video ports on the eGPUs. My use case was to use this machine as an LLM server.

Hardware:

• Computer:
  • Minisforum MS-S1 MAX AI
• eGPUs docks:
  • Minisforum DEG2
  • Razer Core X V2
• GPUs:

arafatrtrr

{ config, pkgs, ... }:

{
  imports = [ ];

  # Bootloader Configuration (Dual boot helper)
  boot.loader.systemd-boot.enable = true;
  boot.loader.efi.canTouchEfiVariables = true;

  # Networking & Wi-Fi Name/Password

kieranklaassen

name	orchestrating-swarms
description	Master multi-agent orchestration using Claude Code's TeammateTool and Task system. Use when coordinating multiple agents, running parallel code reviews, creating pipeline workflows with dependencies, building self-organizing task queues, or any task benefiting from divide-and-conquer patterns.

Claude Code Swarm Orchestration

Master multi-agent orchestration using Claude Code's TeammateTool and Task system.

---

sdieunidou

Sweet Dog

Un guide bienveillant pour les propriétaires de chien : des parcours d'apprentissage, des guides pratiques, des fiches de races et un assistant qui répond à vos questions en s'appuyant uniquement sur ces guides.

Sweet Dog est un « concierge du canon » : son assistant ne répond qu'à partir des guides publiés ci-dessous et ne contredit jamais un guide. Édition française (langue de référence) ; l'édition anglaise suit, après le séparateur.

Démarrer

• Sweet Dog — poser une question: La page d'accueil EST l'assistant : posez une question, il répond à partir des guides.
• Apprendre: Le catalogue des parcours et des guides.