This site maps how orchestration and neural infrastructure come together to deliver production-grade AI at scale.
See how everything connects →A follow-up to "The Global AI Risk Assessment Convergence." The original argued that three jurisdictions—the EU, South Korea, and the United States—were converging on human…
In 1992 Bucharest, a student bluffed his way through a math exam with the only theorem he knew. Thirty years later, that theorem turned out…
You cannot mathematically prove an LLM correct. But you can architect around it. Part 2 surveys the three research communities approaching semantic correctness for LLM…
Actively maintained Home Assistant custom card for weather forecasting with interactive charts, temperature gradients, timezone support, and daily/hourly toggle — available via HACS
Real-time multi-stage data processing pipeline demonstrating queue management, backpressure, health monitoring, and automatic load balancing with live dashboard
Production-ready REST API-based service registration and health monitoring platform with administrator approval workflow and real-time SignalR dashboard
The AI-Trends tracker watches what's actually moving in inference, agents, and tooling, and re-ranks it every quarter. It's the research desk behind everything I publish.
Open the tracker →OmniTechnicus is where I write down what worked, what didn't, and why. No hot takes without a benchmark behind them. If something here is wrong, tell me — I'll fix it and credit you.
