Mapping the Jagged Frontier of AI: Libraries, Ladders, Loops and Graphs. Feat. Carlos E. Perez, Intuition Machine Co-Founder
- S7E7
- 58:55
- September 15th 2026
What does a three decade-long path of working with AI and asking what separates human cognition from a machine's look like? The answer says as much about the machines as it does about us.
At eleven years old, Carlos Perez was already choosing between two possible futures. One was first contact with an alien civilization. The other one was building AI. He picked Inner space over outer space.
The route there wasn't direct. After deep learning broke through around 2012, Perez eventually concluded that These are systems that you actually grow - more similar to biology than to physics.
Perez co-founded The Intuition Machine in 2015, and he has published a number of books and essays on AI. He also works with Fannie Mae as a a Consultant, providing AI strategy and architecture guidance for the Enterprise Architecture organisation.
We explore his path of discovery and tinkering: from AI's uneven capabilities to what's actually changing between model generations, enterprise architecture, AI harnesses, loop engineering and graph engineering for AI agents.
Article published on Orchestrate all the Things: https://linkeddataorchestration.com/2026/09/15/mapping-the-jagged-frontier-of-ai-libraries-ladders-loops-and-graphs/
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