Astra rumored to use Recirculation for 1.38x effective parameter boost
scaling01 · x · 2026-09-02
Discussion suggests Astra might use "Recirculation" or recurrent depth techniques. While pre-training compute and decode latency remain unchanged, inference FLOPs and prefill latency increase. A related recurrent depth paper found that running the same recurrent block twice provides a 1.38× effective parameter multiplier. This implies OpenAI could train a 10T recurrent depth model that performs like a 13.8T standard model.
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