renezander030

Karpathy-skills CLAUDE.md v2 — extending forrestchang's pattern with lessons from building draftcat

Karpathy-skills CLAUDE.md v2 — extending forrestchang's pattern with lessons from building draftcat

Karpathy-skills CLAUDE.md v2 — extending forrestchang's pattern with lessons from building draftcat

Karpathy-skills CLAUDE.md v2 — extending forrestchang's pattern with lessons from building draftcat

Karpathy-skills CLAUDE.md v2 — extending forrestchang's pattern with lessons from building draftcat

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.

joonjoonjoon

Available stats:
Ai		 - Carving.ApplyResults		 - TimeNanoseconds
Ai		 - Carving.BuildBVTree		 - TimeNanoseconds
Ai		 - Carving.Clipping		 - TimeNanoseconds
Ai		 - Carving.ConvexHulls		 - TimeNanoseconds
Ai		 - Carving.Prepare		 - TimeNanoseconds
Ai		 - Carving.ProjectVertices		 - TimeNanoseconds
Ai		 - CollectSources		 - TimeNanoseconds
Ai		 - Colliders		 - TimeNanoseconds
Ai		 - Components.NavMeshAgent.SendMessage		 - TimeNanoseconds

aaaddress1

// CLR Hosting, by aaaddress1@chroot.org
//
// it's a new edition rewrite for .NET(4+) COM interface 
// original from github.com/etormadiv/HostingCLR
//             & blog.xpnsec.com/hiding-your-dotnet-etw
// 
// this PoC supports the following .NET entry:
// >>>> static void Main(string[] args);
//
#include <stdio.h>

cessen

//! This code is licensed under CC0
//! https://creativecommons.org/publicdomain/zero/1.0/

//! Encoding/decoding for the 32-bit FLuv32 color format.
//!
//! This encoding is based on, but is slightly different than, the 32-bit
//! LogLuv format from the paper "Overcoming Gamut and Dynamic Range
//! Limitations in Digital Images" by Greg Ward:
//!
//! * It uses the same uv chroma storage approach, but with *very* slightly

Rochet2

enum LuaTypeTag
{
    TNIL,
    TSTRING,
    TTABLE,
    TBOOL,
    TNUMBER,
};

class LuaVal;

aprius

Brenchmark

• Serialize and Deserialize array 2000 item

	Type	Size	Deserialize	Deserialize GC	Serialize	Serialize GC
FlatBuffer	binary	2.846	0.0528	0.2485	0.2745	0.7279
MessagePack-Csharp	binary	1.000	1.0000	1.0000	1.0000	1.0000
JsonUtility	text	2.657	0.0793	0.6279	0.0341	0.3851

• Searching item MemoryMaster is faster than FlatBuffer

binaryfoundry

Shader "CustomPBRShader"
{
    Properties
    {
        [NoScaleOffset] _Albedo("Albedo", Color) = (1.0, 1.0, 1.0, 1.0)
        [NoScaleOffset] _Metalness("Conductivity", Range(0.0, 1.0)) = 0.0
        [NoScaleOffset] _Roughness("Roughness", Range(0.0, 1.0)) = 0.0
        [NoScaleOffset][HDR] _RadianceMap("RadianceMap", CUBE) = "" {}
        [NoScaleOffset][HDR] _IrradianceMap("IrradianceMap", CUBE) = "" {}
    }

andreiagmu

// MToon to RealToon Shader Swapper for Unity
// by Andy Miira (Andrei Müller), October 2019
//
//
// [IMPORTANT]
// You must add the file RenderPipelineHelper.cs to your project, linked below:
// https://gist.github.com/andreiagmu/b862ae47ef91be05f61ae2da26627a01
//
//
// [INSTRUCTIONS]

jeffvella

using System;
using System.Collections;
using System.Collections.Generic;
using System.Linq;
using Unity.Collections;
using Unity.Mathematics;
using UnityEditor;
using UnityEngine;
using UnityEngine.AI;
using UnityEngine.Experimental.AI;