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w0n-04 / code-html
Created May 31, 2026 21:55
code-loveyoou
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Do you love me?</title>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Press+Start+2P&display=swap" rel="stylesheet">
William Gibson
Neuromancer
Dedication:
for Deb
who made it possible
with love

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.

@Pulimet
Pulimet / AdbCommands
Last active June 14, 2026 15:51
Adb useful commands list
Hi All!
I've recently launched a tool that wraps many of the commands here with a user interface. This desktop application is currently available for macOS. There's a roadmap outlining planned features for the near future.
Feel free to request any features you'd like to see, and I'll prioritize them accordingly.
One of the most important aspects of this application is that every command executed behind the scenes is displayed in a special log section. This allows you to see exactly what’s happening and learn from it.
Here's the link to the repository: https://github.com/Pulimet/ADBugger
App Description:
ADBugger is a desktop tool designed for debugging and QA of Android devices and emulators. It simplifies testing, debugging, and performance analysis by offering device management, automated testing, log analysis, and remote control capabilities. This ensures smooth app performance across various setups.
"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.
@karpathy
"""
import os # os.path.exists
import math # math.log, math.exp
@adivekar-utexas
adivekar-utexas / abhishek-divekar-thesis-experience.md
Last active June 14, 2026 15:39
Abhishek's experience doing a Thesis while working full-time as an ML Scientist at Amazon

(Reproduced from https://mscshub.com/)

Background: I work as an ML Scientist at FAANG. I started the UT Austin MSCSO program in Fall'2020, and this review was written in Dec'2023. This review is very specific, so a motivated person can probably find me. Let me save you the trouble, here is my LinkedIn: linkedin.com/in/ardivekar/ . Feel free to reach out with questions. I'm usually also on the MSCSO Slack.

I applied for UT Austin's MSCS Thesis in Dec'2022, and completed the Thesis over 3 semesters (Spring'23 to Spring'24). My thesis was in the NLP domain, during 2023 when AI went mainstream via ChatGPT, and new LLMs were released every single week. As you can expect, this makes my experience unique. But I expect everyone's thesis experience will be unique since it depends on your personal strengths and interests.

Another thing which I did different from other students is that I framed my own research problem. This is recommended only if you're really dead-set on one idea, like I was. Otherwise it's okay t

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