June 2026
The shutdown of Fable, and more recently, the delay of OpenAI's GPT-5.6, show that frontier AI is coming under government control and can disappear without warning. For most enterprise work, a private, custom model you own performs just as well, while saving money and ensuring data privacy.
Combinatorial Reasoning automates chain-of-thought by generating many candidate reasons and using combinatorial optimization to select the best subset. A look at how the method works, the physics-inspired solvers behind it, and how Icosa integrates it into fine-tuning local, domain-specific models for frontier-level reasoning at lower cost and greater privacy.
May 2026
AI ownership is one of the most consequential decisions a business can make right now. A breakdown of the three main deployment models — public cloud AI, open-source AI, and on-premises private AI — and what it really means to own your AI.
January 2026
Why local, domain-trained models outperform general-purpose systems in accuracy, privacy, and control. How domain-specific Small Language Models trained for particular fields can match or exceed the performance of much larger general-purpose systems while providing greater reliability, efficiency, and control.
November 2025
Exploring how domain-specific Small Language Models running on-device achieve comparable performance while using 99% less energy and eliminating water consumption compared to cloud AI.
Exploring the economic advantages of private AI deployment over public cloud services, including cost savings, data sovereignty, and competitive advantage.
