AI modelsSeptember 30, 2026
17
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Rust Model Beats Transformer Without Framework
PSSA is a non-transformer language model written from scratch in Rust that learns faster and generates much faster.
#Rust#State-Space Model#Non-Transformer#Language Model#Efficiency
🔥 What happened
A developer released PSSA: a recurrent state-space model in Rust, with no PyTorch or TensorFlow. At 1.5M parameters and 12.7M tokens, it achieves 0.45 nats lower cross-entropy than a transformer.
💡 Why it matters
PSSA generates text 12x faster on the same CPU and generalizes better to unseen data. The transformer needed the full 12.7M tokens to reach a loss PSSA already passed at 2M tokens.
⚡ Our take
A hand-written Rust model beating a transformer at matched parameters is a wake-up call for anyone who thinks only big frameworks deliver results.
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