AI Uncovered
Giancarlo MoriAI system design, strategy, and how organizations govern the decisions once AI is making them. Written by a founder, architect, and Stanford lecturer.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 137 | Founded | 3 years ago | Last Issue | 7 days ago |
| Active | |||||
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We Were Promised the Laws
Photo by Emilipothèse on Unsplash
We Were Promised the Laws
If you grew up on science fiction (I did), you absorbed a comforting idea, without quite noticing: that when the machines got smart enough to matter, someone would have alrea...
What a Real AI Strategy Actually Looks Like
Most companies don’t have an AI strategy. They have a shopping list — a set of tools, a stack of pilots, a budget, a roadmap in the best case scenario — and somewhere along the way they started calling it a strategy.
It’s an understandable...
The Override Problem: When Overriding AI Is the Right Call — and When It Isn't
There is a quiet architectural failure inside most enterprise AI deployments, and it is not the one organizations think they are managing. The failure is not that the AI got it wrong. The failure is that nobody knew what to do when it did —...
Emotional Bonds with AI: A Feature, Not a Bug (Until It Isn't)
There is a phenomenon emerging in AI-involved organizations that nobody is naming correctly. Teams are not just using their AI tools. They are developing emotional relationships with them.
Not the consumer kind. This is subtler and, for or...
The Human Side of AI: Why the Bottleneck Is Never the Model
Here is a statistic that should reframe how you think about AI strategy: according to McKinsey's 2025 State of AI report, 88% of organizations now use AI regularly in at least one business function — yet only 39% report enterprise-level EBI...
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Exploring the edge of AI, business, and human decision-making. Startup CEO, AI architect, Stanford instructor. Notes from the trenches and the frontier.
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