A developer has implemented a complete transformer neural network with 1,216 parameters in HyperCard on a 1989 Macintosh, demonstrating core AI concepts like attention and backpropagation on vintage hardware. The model successfully learns the bit-reversal permutation pattern through training and runs on System 7 through Mac OS 9. This project serves as an educational demonstration that AI fundamentals are mathematical principles rather than magic, working even on 35-year-old hardware.
Background
Transformers are the foundational architecture behind modern large language models like GPT, but are typically implemented on modern GPUs and TPUs. HyperCard was a popular hypermedia and application development system for classic Macintosh computers in the late 1980s and 1990s.
- Source
- Hacker News (RSS)
- Published
- Apr 16, 2026 at 09:16 PM
- Score
- 7.0 / 10