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A specific looped Transformer architecture and input injection strategy unlock significant gains in reasoning and context utilization, outperforming larger models with drastically fewer parameters.
Key contribution not extracted.
Unrolling a neural network to the equivalent of 40,000 layers isn't just possible, it's how you get 99% accuracy on Sudoku-Extreme.