Today, I'm releasing Architecture "A2", NAM's new standard neural network recipe for modeling guitar and bass amps. Check out this YouTube video for a walkthrough: If you want a pre-made plugin that plays A2, you can check out Gateway over on the Users page. To train your own A2 models, TONE3000 now supports training A2 models, as does my open-source Google Colab notebook or the local GUI-based trainer that ships with the training code. If you want to build to support A2, the

Published: April 30, 2026 NAM impact: NAM’s training code depends on PyTorch Lightning. Users who installed the affected Lightning versions should take action. Overview A supply-chain security incident has affected certain versions of PyTorch Lightning distributed via PyPI. Lightning AI has published an official advisory identifying versions 2.6.2 and 2.6.3 as compromised. These versions should be considered unsafe. Neural Amp Modeler (NAM) uses PyTorch Lightning for training

We're one step closer to A2 today, and I've released an update to NeuralAmpModelerCore, version 0.5.0: https://github.com/sdatkinson/NeuralAmpModelerCore/releases/tag/v0.5.0 Builders interested in how A2 works should aim to support core version 0.5.0 or later. Work isn't entirely compelte yet-- while 0.5.0 will be able to process A2 models correctly , optimized implementations are in development and will be released soon in a follow-up version (0.5.1). If you just want to und

Progress on Architecture A2 has been coming along well, and I'm pretty happy with the results that we've gotten out of Stage 4 of the work (optimizing A2). With that, development will enter the fifth and final stage soon: listening tests . If you haven't already, please sign up to participate by filling out this Google Form . Please also share it with people you know--the more responses we get, the better I can understand how A2 is doing! Thanks for your patience; I'm re