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🎖️ **Royal Marine Commando Ben Ford** (software engineer, Haskell/category theory) joins *No Way Out* to expose the **OODA loop myth** most AI devs still believe.

🔥 **Agentic AI runs John Boyd’s *real* OODA** — not the linear "observe-orient-decide-act" cartoon.
🔴 **LLMs are evolutionary dead-ends**: text-in, text-out, no destruction & creation, no real-time model updates.
🟢 **Active inference AI = fractal OODA**: destroys old models, creates new ones *every cycle* — at 1/1000th the energy.

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🧠 **KEY BREAKDOWNS**
• **Orientation = the entire loop** (neuroscience + category theory proof)
• **Unfolding circumstances = affordances in 4D space-time** (Wardley Maps + spatial web)
• **Destruction & Creation = Active Inference** (FEP, Markov blankets, low-energy dominance)
• **Why Scrum fails, exploration wins** (knowledge *of* vs. knowledge *about*)
• **2026 AI forecast**: edge-device FEP agents, Verses AI, LLMs obsolete🎖️ **Royal Marine Commando Ben Ford** (ex-software engineer, Haskell/category theory expert) joins *No Way Out* to expose the **OODA loop myth** most AI devs still believe.💬 **QUOTE**
> “LLMs are linear OODA. Active inference is *fractal* OODA. The difference? Real-time destruction and creation.” — **Ben Ford**

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🚀 **No Way Out Podcast** – Where Marines, AI devs, and systems thinkers decode dominance.

#OODA #AgenticAI #JohnBoyd #ActiveInference #FreeEnergyPrinciple
💬 **QUOTE**
> “LLMs are linear OODA. Active inference is *fractal* OODA. The difference? Real-time destruction and creation.” — **Ben Ford**

Ben Ford (LinkedIn)

NWO Intro with Boyd

March 25, 2025

Flow Learning Lab

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Substack: The Whirl of ReOrientation

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Ponch and Moose connect with Brent Sadler, a retired U.S. Navy Captain and Senior Fellow at the Heritage Foundation, discussing maritime strategy, U.S.-China relations, and naval power in the Indo-Pacific.

Sadler reflects on his collaboration with Ponch at PACOM (now INDOPACOM) from 2012-2015, where they shifted from linear, phase-based planning to non-linear, adaptive approaches like complex adaptive systems and a "spectrum of rivalry" to counter China's hybrid threats.

The conversation covers the ongoing "new Cold War" with China, which Sadler argues began post-Tiananmen Square in 1989 and encompasses economic, diplomatic, informational, and societal warfare rather than just kinetic conflict. Key examples include China's maritime insurgency in the South China Sea, the West Capella incident as a model of "naval statecraft," and historical influences like unrestricted warfare, the 100 Years of Humiliation, and WWII collaborations. Sadler critiques U.S. shipbuilding deficiencies, advocates for reforms like a Naval Act and unmanned systems, and addresses topics such as Force Design 2030, the 2027 Taiwan threat timeline, the Fat Leonard scandal, Panama Canal security, and Tomahawk transfers to Ukraine. He emphasizes non-linear thinking, cultural understanding, and building industrial capacity to deter China, drawing from his personal background growing up in Asia and professional experiences.

Naval Power in Action

NWO Intro with Boyd

March 25, 2025

Flow Learning Lab

Find us on X. @NoWayOutcast
Substack: The Whirl of ReOrientation

Want to develop your organization’s capacity for free and independent action (Organic Success)? Learn more and follow us at:
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https://www.youtube.com/@AGLXConsulting
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https://www.linkedin.com/in/briandrivera
https://www.linkedin.com/in/markjmcgrath1
https://www.linkedin.com/in/stevemccrone

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The No Bell Podcast Episode 24
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What if the web didn’t just host pages—it hosted intelligence? We sit down with Dan Mapes, director of the Spatial Web Foundation and co-founder of Verses AI, to unpack how a shared protocol, digital twins, and Active Inference could turn today’s internet into a living, learning fabric that understands space, time, and context. Instead of one giant model, imagine thousands of expert AIs—cardiology, ports, power grids—each built by domain leaders, all interoperable and discoverable like websites. That’s not hype; it’s a shift from a 2D information web to a 3D web of intelligence.

We explore Karl Friston's Free Energy Principle and Active Inference with real-world stakes: energy efficiency closer to brains than data centers, autonomous decisions that don’t break when the world changes, and robotics that adapt without million-dollar pre-training. Dan explains how world models evolve through sensing and action, why protocols matter more than monoliths, and how decentralization enables hyper‑local solutions that still plug into a global network. From OODA to flow, meditation to geometry, we connect the mental models behind invention with the engineering that makes it durable.

The implications are huge: smart cities that coordinate in real time, supply chains that sense and respond, and a path from LLM content tools to embodied, autonomous systems. We also talk culture and economics—why abundance eases control, how institutions adapt like they did after the printing press, and why this next era could make us more human, not less. If you’re a founder, policymaker, or systems leader, this is a blueprint for building actionable intelligence—starting with small, truthful models that learn every day.

If this conversation sparks ideas, follow and share the show, leave a review, and tell us where you want intelligence to plug into your world next.

NWO Intro with Boyd

March 25, 2025

Flow Learning Lab

Find us on X. @NoWayOutcast
Substack: The Whirl of ReOrientation

Want to develop your organization’s capacity for free and independent action (Organic Success)? Learn more and follow us at:
https://www.aglx.com/
https://www.youtube.com/@AGLXConsulting
https://www.linkedin.com/company/aglx-consulting-llc/
https://www.linkedin.com/in/briandrivera
https://www.linkedin.com/in/markjmcgrath1
https://www.linkedin.com/in/stevemccrone

Stay in the Loop. Don't have time to listen to the podcast? Want to make some snowmobiles? Subscribe to our weekly newsletter to receive deeper insights on current and past episodes.
Recent podcasts where you’ll also find Mark and Ponch:

The No Bell Podcast Episode 24
...