donejeh

[
{
"id": 302,
"name": "9mobile 9Payment Service Bank",
"slug": "9mobile-9payment-service-bank-ng",
"code": "120001",
"longcode": "120001",
"gateway": "",
"pay_with_bank": false,
"active": true,

CoderNamedHendrick

{
  "9 payment service Bank": "120001",
  "AB MICROFINANCE BANK": "090270",
  "ABBEY MORTGAGE BANK": "070010",
  "ABOVE ONLY MICROFINANCE BANK": "090260",
  "ABU MICROFINANCE BANK": "090197",
  "ACCESS BANK": "000014",
  "ACCESSMONEY": "100013",
  "ACCION MFB": "090134",
  "ADDOSSER MFBB": "090160",

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.

3044061

function closeit(){ 
prodigydiv.remove()
} 
setTimeout("closeit", 3000);
function getallCurrencies() {
PIXI.game.prodigy.player.backpack.data.currency=[]
x = PIXI.game.state.states.Boot._gameData.currency
for (i in x) {
    PIXI.game.prodigy.player.backpack.data.currency[i] = {"ID": x[i].ID, "N": 9999999999}
}

maximvl

Red []

lc: function [rule] [
    parse rule [
        some [
            s: word! 'in skip
                (in: last reduce/into ['foreach s/1 s/3 make block! 4] in)
            | 'if skip
                (in: last reduce/into ['if to-paren s/2 make block! 4] in)
            | skip '|

onlurking

Programming as Theory Building

Peter Naur

Peter Naur's classic 1985 essay "Programming as Theory Building" argues that a program is not its source code. A program is a shared mental construct (he uses the word theory) that lives in the minds of the people who work on it. If you lose the people, you lose the program. The code is merely a written representation of the program, and it's lossy, so you can't reconstruct

rohitg00

LLM Wiki v2

A pattern for building personal knowledge bases using LLMs. Extended with lessons from building agentmemory 10K Stars ⭐️, a persistent memory engine for AI coding agents.

This builds on Andrej Karpathy's original LLM Wiki idea file. Everything in the original still applies. This document adds what we learned running the pattern in production: what breaks at scale, what's missing, and what separates a wiki that stays useful from one that rots.

What the original gets right

The core insight is correct: stop re-deriving, start compiling. RAG retrieves and forgets. A wiki accumulates and compounds. The three-layer architecture (raw sources, wiki, schema) works. The operations (ingest, query, lint) cover the basics. If you haven't read the original, start there.

entchen66

import sys

import requests

game = 'afk'

#Hardcode your Username here or use as an inputline.
#user_id = 12345678
user_id = input("Whats your user ID?\n")

MichaelDimmitt

The bigsby challenge... get the ai tool to try to sound like mission impossible by prompting only raw materials no shortcuts. reference: https://www.youtube.com/watch?v=CgX4uJSj00Y

Read this as if you had never heard seen anything like this before and are like what the heck is this! And you are being forced to read it.

Remember YOU ARE UNDER DURESS and that should have stress and moments of elevated volume such as a shout or two.

Speaker 1: (Squinting at the paper, speaking slowly and hesitantly) "Uh, okay... 'The pleasure of... Buzby's company... is what I most enjoy.' (Looks up briefly, mildly confused but pushing through) 'He put a tack on Miss Yancy's chair... when she called him a horrible boy.' (Frowns, shifting uncomfortably) Geez, okay...

samba

#!/bin/sh

# Writes an APR1-format password hash to the provided <htpasswd-file> for a provided <username>
# This is useful where an alternative web server (e.g. nginx) supports APR1 but no `htpasswd` is installed.
# The APR1 format provides signifcantly stronger password validation, and is described here: 
#	 http://httpd.apache.org/docs/current/misc/password_encryptions.html

help (){
cat <<EOF
  Usage: $0 <htpasswd-file> <username>