This REPL isn’t like anything you’ve seen before. It’s running on a neural network. It’s a feed forward network, using attention, and it implements a fully working wasm interpreter. When I saw an article on the topic of wasm interpreting llms I had to build this. Wasm + the tech behind AI + a repl … running in a browser and built and deployed on Replit - this is an homage to @amasad, one of my personal heroes 🐐 The idea is based on a recent post by @PerceptaAI but they didn’t provide the model architecture or really any of the important implementation details so I had to do a lot of figuring out and testing with the Replit agent to build it - it’s mind blowing that AI can produce this - a neural network architecture with hand crafted weights to implement something too new to be in any of its training data. P.s. it was all done on my phone, most of it while flying from SFO to Munich, what a time to be alive!