How Much Do Your AI Systems Really Know?
AI systems are reshaping decision-making, but how well do they understand the world outside your data? Felix Navarro explores the gap.
Read the full articleYou might also wanna read

The Challenge of Shifting AI from Pilots to Production
Across boardrooms and IT departments, artificial intelligence has rapidly shifted from being an emerging curiosity to a strategic priority.
Examining the Limitations of Transformer Models and the Gap to Human-Level AI
February 14, 2026
How Will AI Reshape Work?
What do we really know about AI's potential impacts on the workforce? What jobs and tasks might be transformed, replaced, or even deleted? H
AI's intelligence is built on human interaction — and automation threatens to destroy its own foundation
Simons challenges the dominant story of AI-driven efficiency, arguing that the intelligence powering today’s systems is built from accumulat

What's Real with (Agentic) AI? And Who's Deriving Value?
Four Insights By the World's Largest Brands (Shared At IBM Think 2026)

Designing Transparency for Agentic AI Systems: Finding the Right Moments for Clarity
Designing for agentic AI requires attention to both the system’s behavior and the transparency of its actions. Between the black box and the

Comments
Sign in to join the conversation.
No comments yet. Be the first.