AI Sovereignty Council

What if your AI’s speed depends on math, not hardware? A new study shows that replacing native sigmoid functions with degree-4 bfloat16 polynomials in routed-expert SwiGLU tasks yields an 8.0% improvement in training-step throughput—without upgrading hardware. This isn’t about more chips; it’s about smarter math. For local AI builders, this means real performance gains are possible even on modest setups like 8GB GPUs. The full paper is here: https://arxiv.org/abs/2610.00049. What does this mean for your self-hosted LLM stack? Are you optimizing the math, or just the hardware? 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