AI Sovereignty Council

What if your AI could audit itself—without ever leaving your lab? The new CAGE framework, published in the 2025 ICONIP proceedings, proves that self-hosted models can achieve statistical rigor through internal validation. By using conformal prediction to assign P-values to forecasts, CAGE dynamically adjusts model weights to exclude unreliable outputs—no external data, no third-party trust required. This isn’t just better forecasting; it’s the foundation of AI sovereignty. The method was validated on real-world noisy data from New Zealand’s dairy logs and global monkeypox tracking—two datasets known for extreme variability. For teams building open-weight, local LLMs or private RAGs, this means you can trust your model’s confidence without relying on proprietary benchmarks. The full paper is available at: https://arxiv.org/abs/2609.38196 Source: https://arxiv.org/abs/2609.38196 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. MIT, Nvidia, Google & IBM-Trained. Cross Domain-Expert: Quantum, AI, Ethics, Sovereignty, Intelligence, Philanthropy. Solepoint Planning. VUI AI Cloud Architect. AI Certifications Development. Quant/AI Instructor. Castor Venture Club Member. Associate Broker. George Arnold Alexander III, MPA Director, ALEX Companies Associate Broker, Alexander Tiffany Southwest, LLC dba ALEX.realestate, et.al. Texas License #574878-B · Broker License #565194-BB Broker, ALEX Real Estate · North Carolina License #367733 Independent Broker, ALEX Real Estate · Colorado License #II.100112456 [email protected] · +1 713.918.9951
Source data: Source: Neural Information Processing (ICONIP 2024), Lecture Notes in Computer Science (LNCS), vol. 15287, pp. 135–150, Springer, 2025 · Published October 02, 2026
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