Update from July 15, 2026: After launch, critics argued that Soofi S was heavily "overtrained" by the standards of the classic Chinchilla scaling laws. Google DeepMind published those laws in 2022, describing how to balance model size and training data for a fixed compute budget. The sweet spot they identified was roughly 20 tokens per parameter. Soofi S blows past that ratio. With about 27 trillion tokens and 30 billion parameters, it lands at several hundred to one. Factor in only the 3.2 bill...