afflom

UOR Global Non-Adjacent Form (UOR-GNAF) v1

Status: Normative Draft 0.2
Provisional specification identifier: uor-gnaf/1-draft.2
Reserved stable identifier: uor-gnaf/1 — unassigned
Date: 2026-08-11

Abstract

UOR-GNAF specifies a machine process for accumulating typed content, kinds,

andrisgauracs

#!/usr/bin/env bash
# esp32-ai: test a custom prompt against an already-trained, already-flashed model.
# Does NOT retrain and does NOT rewrite the 15MB model partition.
#
# Usage:
#   ./run_custom_prompt.sh "Once there was a robot"
set -euo pipefail

if [ "$#" -lt 1 ]; then
  echo "Usage: $0 \"Your custom prompt\""

andrisgauracs

#!/usr/bin/env bash
# esp32-ai: clone, train, export, build, and flash — end to end
# Reproduces github.com/slvDev/esp32-ai from a bare board.
# Requires: ESP32-S3 N16R8 (16MB flash, 8MB PSRAM).
#
# Usage:
#   ./build_and_flash.sh              # full run: data prep, train, export, build, flash
#   ./build_and_flash.sh --skip-train # reuse an existing firmware/model/model.bin, just build + flash
set -euo pipefail

auser

Rust Engineering Best Practices

A complete project standard for writing correct, explicit, allocation-aware, production-grade Rust.

This document is intended to replace the previous rust-best-practices.md Gist in full. It integrates ownership, API design, error handling, testing, linting, performance, debug_assert!() usage, and heap-allocation discipline into one coherent set of rules.

Status and terminology

This is a normative engineering guide, not an introductory Rust tutorial.

auser

use async_trait::async_trait;
use chrono::Local;
use graph_flow::{
    Context, ExecutionStatus, FlowRunner, GraphBuilder, GraphStorage, InMemoryGraphStorage,
    InMemorySessionStorage, NextAction, Session, SessionStorage, Task, TaskResult,
};
use image::{ImageBuffer, Rgb};
use minifb::{Key, Window, WindowOptions};
use nokhwa::{
    pixel_format::RgbFormat,

a-agmon

use async_trait::async_trait;
use chrono::Local;
use graph_flow::{
    Context, ExecutionStatus, FlowRunner, GraphBuilder, GraphStorage, InMemoryGraphStorage,
    InMemorySessionStorage, NextAction, Session, SessionStorage, Task, TaskResult,
};
use image::{ImageBuffer, Rgb};
use minifb::{Key, Window, WindowOptions};
use nokhwa::{
    pixel_format::RgbFormat,

levelsio

# 2023-11-27 MIT LICENSE

Here's the open source version of my ChatGPT game MonkeyIslandAmsterdam.com.

It's an unofficial image+text-based adventure game edition of Monkey Island in Amsterdam, my home town.

Please use it however you want. It'd be nice to see more ChatGPT-based games appear from this. If you get inspired by it, please link back to my X https://x.com/levelsio or this Gist so more people can do the same!

Send me your ChatGPT text adventure game on X, I'd love to try it!

VictorTaelin

Notes on this tweet.

• The screenshots were taken on different sessions.

• The entire sessions are included on the screenshots.

• I lost the original prompts, so I had to reconstruct them, and still managed to reproduce.

• The "compressed" version is actually longer! Emojis and abbreviations use more tokens than common words.

terjanq

<!--
This was a sandboxing challenge where the JS language is presenteded in the form of exotic, made-up language. 
It's almost properly sandboxed but there is one bug that players needed to find. 
The bug I found was to construct HTML comment (<!--) that is understood by JS and which makes it possible to ignore one semicolon 
and then to concat array expression with variable name, like $var$['eval']. To get reference to eval we used DOM clobbering
and defined <iframe name=$win$>
-->

<iframe name=$win$></iframe>
<x-program>

nateraw

"""
Built on top of this gist by @karpathy:
https://gist.github.com/karpathy/00103b0037c5aaea32fe1da1af553355

stable diffusion dreaming over text prompts
creates hypnotic moving videos by smoothly walking randomly through the sample space

example way to run this script:
$ python stable_diffusion_walk.py --prompts "['blueberry spaghetti', 'strawberry spaghetti']" --seeds 243,523 --name berry_good_spaghetti