If frontier AI progress shifts from pre-training compute to inference-time compute, AI governance must be rebuilt around deployment-time capabilities and transparency, with different implications depending on whether that inference happens during deployment or inside the training process.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CY 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Inference Scaling Reshapes AI Governance
If frontier AI progress shifts from pre-training compute to inference-time compute, AI governance must be rebuilt around deployment-time capabilities and transparency, with different implications depending on whether that inference happens during deployment or inside the training process.