AI Sovereignty Council

What if every AI update came with a certified guarantee of behavioral integrity? A new framework called Certified Anchor-Based Adaptation (CABA) achieves exactly that—reducing mean forgetting to 0.00% in a controlled study while maintaining a strict budget on behavioral change. This isn’t about government policy or national AI strategy. It’s about what individual developers, startups, and teams can build today: self-hosted AI stacks with built-in accountability. CABA offers a mathematically verifiable check for any model update—no trust required. The trade-off? Slight drop in accuracy, but total retention of protected behaviors. For those building sovereign AI—on-prem, open-weight, local LLMs—the future isn’t just private; it’s provably stable. This research, accepted at NeurIPS 2026, is a blueprint for real-world integrity in continual learning. Read the full paper: https://arxiv.org/abs/2610.40740 Source: https://arxiv.org/abs/2610.40740 View and join any or all of our communities — AI, quantum, and real estate: https://alex-companies.com/reports/linkedin-groups If there's an AI, quantum, or real estate community you'd like to see us convene, tell us — this portfolio grows by request.