Adaptability

negotiators managed — just barely, at the finish line — to conclude it quickly enough to replace the August 2, 2026 deadline in time, and to keep the changes relatively targeted.

Authoritative insider account (Caroli negotiated the AI Act) of the omnibus renegotiation — deadlines deferred, obligations trimmed, core requirements preserved — the central 2026 case study of revising a landmark AI law under industry pressure.

You cannot preempt all of these laws piece-by-piece; broad-based preemption of some kind is essential, and anyone who pretends otherwise is simply not engaging with the reality on the ground.

The strongest statement of the pro-preemption side: documents the accelerating, incoherent state patchwork and argues only broad federal preemption keeps AI rules coherent — the frame the rest of the year's debate responded to.

It would be good for someone to thoroughly audit the frontier labs at least to test their adherence to their own safety plans

Ball's positive program: government-certified private verification bodies auditing labs against their own safety frameworks — a revival of the regulatory-markets idea, argued as the only oversight design fast and expert enough to track the frontier.

A supervised self-regulatory organization (SRO), like FINRA, is a private industry body that writes and enforces rules for that industry, under the supervision of a government agency.

Detailed institutional design for a supervised SRO for frontier AI — mandatory membership, industry funding via compute assessments, majority non-industry board — squarely addressing how rules evolve with the technology while building in anti-capture safeguards.

Both bills create a core set of transparency requirements, mandating developers to publish frontier AI risk frameworks and report safety incidents to state officials.

Evidence against the patchwork thesis: New York deliberately converged on California's SB 53 template, suggesting states can harmonize frontier AI rules bottom-up without federal preemption.