Research: Allowing Models to Modify Architecture for Instant Inference Boost
savvyRL · x · 2026-08-21
The post shares research exploring what would happen if a foundation model could instruct how to modify its own architecture to instantly boost inference and reasoning without retraining. This tweak would incur near-zero latency cost and support indefinite state tracking. A comment notes that the Transformer architecture operates with its 'hands tied behind its back' during inference to make training cheaper.
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