This Week: Action, But In Different Directions
The most important pattern this week is the simultaneous movement in opposite directions. Government is becoming a more consequential gatekeeper over frontier-model release and hyperscale infrastructure, while open weights and on-device models are making technical alternatives more plausible—and the portability question is becoming more concrete.
- White House frontier-model review framework — The administration established a voluntary prerelease review channel for advanced proprietary models, while excluding open-weight models from the process.
- Texas orders comprehensive data-center audit — Texas paused further movement of data-center projects through the ERCOT interconnection process pending a broader review of grid, water, incentives, ownership, and community impacts.
- Liquid AI releases an agentic model that runs on consumer devices — LFM2.5-2.6B can be downloaded and run locally on laptops and phones, including agentic workloads without a cloud API.
- European Commission requires greater Android interoperability for rival AI assistants — The July decision remains the clearest current regulatory test of whether competing assistants can gain meaningful access to a dominant platform’s operating layer.
The Race question is therefore moving beyond “Are alternatives available?” toward “Can actors actually exercise choice, exit, and challenge the institutions controlling access?”
These events fit right into the context of two topics we've been working on, resulting in this week's feature articles. First is the apparently-developing concept of 'federally-gated/privately-owned' AI infrastructure. I think this is a new operating model worth watching as it develops - my initial reaction is this is not positive toward democratic governance. The second article discusses the importance of 'portability' as AI develops and spreads throughout society. This ability will be key to the concept of being able to exercise choice and exit, both for individuals and organizations using AI.
Private Infrastructure, Public Permission
The federal government is becoming the gatekeeper for a privately owned AI infrastructure system. That combination concentrates power—and creates structural incentives for corruption.
The Next AI Fight Is Over the Right to Leave
As AI systems learn our preferences, projects, and workflows, portability will determine whether model choice becomes customer power.