Seb Krier Critiques Obsolete AI Regulation Frameworks

Tech policy expert Seb Krier has argued that current AI legislative proposals are becoming obsolete due to a fundamental misunderstanding of the technology's evolution. Krier contends that recent advancements in AI capabilities stem primarily from post-training, scaffolding, and inference compute scaling rather than just core model development. Consequently, many proposed safety mitigations targeting the model level are ineffective, as safeguards like filters and classifiers are increasingly applied at the software scaffold level. The critique suggests that horizontal, 'one-size-fits-all' regulations fail to account for the complex chain of actors involved in modern AI implementation. Krier advocates for outcome-based regulation and domain-specific oversight, suggesting that the current focus on a few large labs ignores the distributed nature of AI innovation and risk management.