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@karpathy
karpathy / microgpt.py
Last active February 15, 2026 00:49
microgpt
"""
The most atomic way to train and inference 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
# OpenClaw Implementation Prompts
Each prompt below is a self-contained brief you can hand to an AI coding assistant (or use as a project spec) to build that use case from scratch. Adapt the specific services to whatever you already use — the patterns are what matter.
---
## 1) Personal CRM Intelligence
```
Build me a personal CRM system that automatically tracks everyone I interact with, with smart filtering so it only adds real people — not newsletters, bots, or cold outreach.
@ripixel
ripixel / antigravity-wsl2.md
Created January 12, 2026 20:30
Antigravity x WSL2
@tomdaley92
tomdaley92 / README.md
Last active February 15, 2026 00:40
Proxmox - SPICE Client setup for MacOS

Proxmox - SPICE client setup for MacOS

  1. Install a working (and compiled) version of virt-viewer. You may view the homebrew package's upstream source on GitHub.

    brew tap jeffreywildman/homebrew-virt-manager
    brew install virt-viewer
  2. Once that's installed should be able make a call remote-viewer with a pve-spice.vv file downloaded from proxmox web interface

Ref: Exclusive Q&A: John Carmack’s ‘Different Path’ to Artificial General Intelligence

"So I asked Ilya Sutskever, OpenAI’s chief scientist, for a reading list. He gave me a list of like 40 research papers and said, ‘If you really learn all of these, you’ll know 90% of what matters today.’ And I did. I plowed through all those things and it all started sorting out in my head."

Ref: https://x.com/ID_AA_Carmack/status/1622673143469858816

I rather expected @ilyasut to have made a public post by now after all the discussion of the AI reading list he gave me. A canonical list of references from a leading figure would be appreciated by many. I would be curious myself about what he would add from the last three years.

Papers

@veekaybee
veekaybee / normcore-llm.md
Last active February 15, 2026 00:38
Normcore LLM Reads

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

Foundational Concepts

Screenshot 2023-12-18 at 10 40 27 PM

Pre-Transformer Models

.org $8000
.org $ff00
XAML = $24 ; Last "opened" location Low
XAMH = $25 ; Last "opened" location High
STL = $26 ; Store address Low
STH = $27 ; Store address High
L = $28 ; Hex value parsing Low
H = $29 ; Hex value parsing High
YSAV = $2A ; Used to see if hex value is given
@Nicholas-Swift
Nicholas-Swift / astar.py
Last active February 15, 2026 00:36
A* pathfinding algorithm. Please see comments below for a fork of this gist that includes bug fixes!
class Node():
"""A node class for A* Pathfinding"""
def __init__(self, parent=None, position=None):
self.parent = parent
self.position = position
self.g = 0
self.h = 0