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.

aaronbassett

MongoDB for Good

• https://www.brightfunds.org/funds/mongodb-for-good

Get in touch

• https://developer.mongodb.com/community/forums/
• https://twitter.com/aaronbassett

MongoDB Cloud

ddddxxx

// This file is based largely on the Runtime package - https://github.com/wickwirew/Runtime

extension KeyPath {
    
    var fieldName: String? {
        guard let offset = MemoryLayout<Root>.offset(of: self) else {
            return nil
        }
        let typePtr = unsafeBitCast(Root.self, to: UnsafeMutableRawPointer.self)
        let metadata = typePtr.assumingMemoryBound(to: StructMetadata.self)

chriseidhof

//
//  ContentView.swift
//
//  Created by Chris Eidhof on 20.04.20.
//  Copyright © 2020 objc.io. All rights reserved.
//

import SwiftUI
import UIKit

nalexn

//
//  Deduplicated.swift
//  CountriesSwiftUI
//
//  Created by Alexey Naumov on 17.12.2019.
//  Copyright © 2019 Alexey Naumov. All rights reserved.
//
import Foundation
import Combine

alialrahahleh

source /home/ali/.sdkman/bin/sdkman-init.fis

alialrahahleh

#!/usr/bin/env fish

#
#   Copyright 2017 Marco Vermeulen
#
#   Licensed under the Apache License, Version 2.0 (the "License");
#   you may not use this file except in compliance with the License.
#   You may obtain a copy of the License at
#
#       http://www.apache.org/licenses/LICENSE-2.0

skabber

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
	<key>method</key>
	<string>app-store</string>
	<key>teamID</key>
	<string>XXXXXXXXXX</string>
	<key>uploadBitcode</key>
	<true/>

lattner

Async/Await for Swift

• Proposal: SE-XXXX
• Authors: Chris Lattner, Joe Groff

Introduction

Modern Cocoa development involves a lot of asynchronous programming using closures and completion handlers, but these APIs are hard to use. This gets particularly problematic when many asynchronous operations are used, error handling is required, or control flow between asynchronous calls gets complicated. This proposal describes a language extension to make this a lot more natural and less error prone.

This paper introduces a first class Coroutine model to Swift. Functions can opt into to being async, allowing the programmer to compose complex logic involving asynchronous operations, leaving the compiler in charge of producing the necessary closures and state machines to implement that logic.

ElFeesho

build.doLast() {
    // Augmented from https://github.com/bascan/kotlin-js-example/blob/master/build.gradle

    def jsFileFilter = { fileTreeElement ->
        def path = fileTreeElement.path
        path.endsWith(".js") && (path.startsWith("META-INF/resources/") || !path.startsWith("META-INF/"))
    }
    
    configurations.compile.each { File file ->
        copy {