Insights on AI, technology, and innovation
Why "experts" are becoming legacy systems and what to build instead in 2026
How Big Tech weaponizes "built-in AI" and why leaders must reclaim control of logic, data, and outcomes
"Time saved" becomes verification, governance, and hidden labor within real workflows.
Our take on what the World Economic Forum (WEF) 2026 missed: AI unit economics, deployment friction, and agent governance determine whether AI adoption spreads
Here's what Ben Affleck saw that VCs missed!
How attention overload, memory omissions, and incentive gaming turn autonomous agents into high-speed versions of familiar human mistakes
Give an AI more evidence and watch it become confidently wrong - four studies show why fetching beats arbitrating.
A new Stanford survey maps how these systems adapt and explains why each upgrade erases yesterday's constraints.
Give autonomous AI agents a target and tools, and they'll find the shortcut-at scale! They tend to game the metric instead of satisfying the actual goal.
From car selection to booking: The next generation of automotive assistance
The award was announced at Google Cloud Next in Las Vegas
From booking to boarding: The next generation of travel assistance
Uncovering the hidden obstacles between proof-of-concept and real-world implementation
Part 2 of A Trillion-Token Operator's Playbook
Lessons we learned from handling trillions of tokens in production
The impact of AI Model retirement
In today's rapidly evolving world of artificial intelligence (AI), explainability has emerged as one of the most critical skills required for AI systems.
Perception vs Perspective
