A developer has implemented a complete transformer neural network, named MacMind, entirely in HyperTalk, a scripting language from 1987. This 1,216-parameter model runs on a 1989 Macintosh SE/30 and successfully learns the bit-reversal permutation, a foundational step in the Fast Fourier Transform. MacMind demonstrates that the core principles of modern AI, such as backpropagation and self-attention, are mathematically understandable and can be executed on vastly simpler hardware, offering a transparent view into AI's fundamental processes. AI
RANK_REASON An academic-style demonstration of AI principles implemented on vintage hardware.
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