The Foundation Problem, Layering AI on Top.

The Foundation Problem, Layering AI on Top.

There is a researcher named Fern Halper who spent twenty years watching organizations fail at the same problem in the same way. She started as a data scientist at Bell Labs when AI was a serious research discipline rather than a marketing category. She has spent the decades since studying how organizations actually adopt and…

The AI Agents Are Not Experiments Anymore.

The AI Agents Are Not Experiments Anymore.

Something is happening beneath the surface of enterprise AI that most governance conversations are not reaching. They are in the engineering workflow. They are reviewing code, handling incidents, deploying changes, producing documentation, automating operational playbooks. They are on the critical path. And the skills that define how those agents behave — the portable bundles of…

You Can’t Message Out of a Governance Gap

You Can’t Message Out of a Governance Gap

Something is coming to the surface. Not slowly. Not quietly. All at once. The data is arriving from enough directions now that the pattern is undeniable. Fast Company just published a brand strategy piece built entirely around AI governance as the new credibility currency. ArXiv banned researchers for not checking their AI output. The fraud…

Scientific Record Damage, 21% AI-Generated.

Scientific Record Damage, 21% AI-Generated.

Nobody builds a governance standard because it feels right. They build it because something broke. For the fraud teams it was the P&L. For arXiv it was the scientific record. Different damage. Same lesson. ArXiv.org is one of the most important repositories of scientific research on the planet. Two million submissions. Twenty-four thousand articles a…

A Self-Improving AI Based On What?

A Self-Improving AI Based On What?

Nobody asked what it’s improving toward? A startup came out of stealth this week with $650 million in funding. The goal is recursive self-improvement. An AI that identifies its own weaknesses and redesigns itself to fix them. Automatically. Without human involvement. The entire process of ideation, implementation, and validation handled by the machine itself. The…

Harvard Wants to Know How AI Learns…My Answer.

Harvard Wants to Know How AI Learns…My Answer.

Harvard physicists published a study this week. They built a simplified mathematical model to understand how AI learns. They used tools from statistical physics. They looked at scaling laws, high-dimensional data, and something called renormalization theory. It is serious science done by serious people. And they are right about one thing above everything else. We…