Limitation: the system disk isn’t saved between sessions. Use screenshots + timelapse videos to keep an archive of your work.

Thanks @persistent.info for the emulator and embed API 🙏 Infinite Mac infinitemac.org has been an incredible resource! I’m excited to use it more in workshops and lectures

- Save clean screenshots of the Macintosh display. Save in MacPaint and name your drawing, the screenshots use that name (in-browser OCR).
- Save a timelapse of your drawing as a super-light MP4 (in-browser ffmpeg). Easiest MacPaint timelapse I know (I used it to make the video in this post.)

- Real-size display option to match the 9” Macintosh CRT screen. Uses a custom list to guess your physical display size, with calibration for purists. Great to feel the constraints Bill Atkinson, Jeff Raskin, and Susan Kare faced when designing the UI.
(even more below!)

It uses the insanely great Infinite Mac as the embedded emulator—and adds useful tools around it:
- One-click shortcut to open MacPaint
- Crisp fullscreen by default, perfect for the original 1-bit UI.
(more below!)

It’s also pure fun: draw in a retro way and explore the creative constraints of 1-bit illustrations.

Why and how? www.linkedin.com/posts/julien...

the full book: vintageapple.org/macprogrammi...

I wanted to see if this video model would keep the grain, blooming and specific color quality of old sensors. And it did. What is the benefit? It allows to define the style not textually but visually, which is faster and better for people who have already mastered photo and video.

By the way, the images are all generated using Flux Schnell, a very fast <2s, and quite small open weight image gen model, that can give you great results if prompted right. In this case the prompts are themselves generated and decided by the text model based on a mix of traits.

What if nobody knew what you will found playing? What If the experience was about finding the paths that nobody has ever taken? How to balance between randomness and consistency? These are key design question for native generative AI user experiences. These are some of the early results.