A structural audit of “The Singularity of Friction.” We review the core thesis of the Great Inversion, the 200ms neural bottleneck, and the Architecture of Abandonment. Access the full definitive edition of Book 1.
Review: The Singularity of Friction — Navigating the 2026 Inversion Read More »
The Predictor v3-enhanced model successfully identified both conference champions (New England Patriots and Seattle Seahawks) and the “Sharp Alpha” in the AFC betting markets.
NFL Championship Games 2026 Post Game Prediction Analysis Read More »
The “System Resilience” narrative established in pre-game analysis (Predictor v2) has been fundamentally validated. The New England Patriots (10) defeated the Denver Broncos (7) in a sub-freezing (21°F) defensive slugfest, while the Seattle Seahawks (31) overcame the Los Angeles Rams (27) in an NFC shootout.
NFL Championship Games 2026 Post Game Trend Analysis Read More »
This report employs a Bayesian approach to predict the outcomes of the NFL AFC and NFC Championship games slated for January 25, 2026. It integrates trend analysis, correlation scores, and weak signal detection, offering calibrated predictions along with explicit uncertainty quantification to guide decision-making.
NFL Championship Games Predictions 2026 — Sample Report Read More »
This checklist reframes it as the input. The rule “If you can’t answer a step, do not move forward yet” isn’t motivational—it’s a systems safety rule that prevents three irreversible errors: escalation of commitment, overexposure, and “set it and forget it” thinking.
Most decision frameworks treat uncertainty as a blocker. This guide reframes it as the input. The report isn’t asking you to decide what will happen—it’s asking how much exposure you want while the outcome is still unknown.
How to Use Decision Intelligence and Uncertainty to Decide What to Do Read More »
The convergence of three major AI trends (Agentic AI, Edge AI, Developer Infrastructure Shift) is predicted to reshape enterprise technology by Q2 2026 with 98% probability. However, 8 Black Swan scenarios (20-45% probability each) create a 35-40% aggregate risk level that requires strategic hedging.
Uncertainty Summary Sample — Emerging AI Trends 2026 (audio) Read More »
Core Question: How should a CTO position technology infrastructure, team capabilities, and vendor relationships for the convergence of three major AI trends (Agentic AI, Edge AI, Developer Infrastructure Shift) predicted to reshape enterprise technology by Q2 2026, given irreducible uncertainties around production deployment success, standardization outcomes, infrastructure readiness, and regulatory compliance?
Decision Intelligence Sample – Emerging AI Trends 2026 (video) Read More »
The convergence of agentic AI, edge AI, and developer infrastructure shifts presents transformative growth opportunities, yet it also exposes the market to low-probability, high-impact Black Swan events. This assessment identifies and analyzes 8 critical scenarios that could derail the predicted trends in AI adoption and utilization.
Sample Report – Emerging AI Trends 2026 Black Swan Assessment (audio version) Read More »
Discover key predictions shaping the AI landscape in 2026, including agentic AI adoption, developer infrastructure shifts, and the rise of edge AI. Explore insights on federated learning and implications from major IPOs, providing strategic intelligence for businesses navigating the evolving AI ecosystem.
Sample Report – Emerging AI Predictions for 2026 (audio version) Read More »
