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  "text": "I'm implementing a tiny transformer on tinyshakespear. The 2d matrices went to muon and 1d to adam.\n\nThe model was still learning and generating some real words.\n\nBut turns out my muon implementation was bugged and was no-oping. So 99.2% of my model was frozen at init.\nAdam still managed to tweak those biases into having the model still output some real words.\n\nOh and I forgot the positional embeddings too.\n\nIt's kinda crazy how you can have the shittiest implementation and a neural network still manages to learn",
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    "text": "Karpathy's recipe for training neural networks is still relevant today.\n\nthis lesson in particular is one we've been feeling very viscerally recently...\n\nneural network training can sometimes be very resilient and you may not realize there's an error for a very long time... https://t.co/51qIY0oKZd",
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