---
title: Things I Learned - 01 Sep 2024
date: 2024-09-01T00:00:00+00:00
categories:
  - til
description: I learned about LLMs simulating Doom in real time via GameNGen, Val.town's dynamic image generation prompts, and Cursor's speculative edits. I also found that ChatGPT currently outperforms Flux.1 for creating consistent cartoons and comic strips.
keywords: [gamengen, doom, val.town, cursor, speculative edits, image generation, llms, flux.1]
---

This week, I learned:

- LLMs are so good that they can simulate Doom in real time. [gamengen](https://gamengen.github.io/)
- [Val.town's code generation system prompt](https://gist.github.com/simonw/d8cc934ad76b3bba82127937d45dc719) uses <https://maxm-imggenurl.web.val.run/the-description-of-your-image> to dynamically generate images
- Practice for each thought: "What would make me change my mind? How likely is that?"
- [Cursor uses speculative edits](https://www.cursor.com/blog/instant-apply) and a variety of other techniques to speed up code editing.
- [ChatGPT does a better job at cartoon generation than even Flux.1](https://www.s-anand.net/blog/image-generation-gets-better-at-comics/)