Chris Benson

Mentioned in 13 analyzed podcast episodes across 1 show

Co-host of the Practical AI podcast and principal AI research engineer at Lockheed Martin. Engaged in discussions on cognitive synthesis, neural systems, AI safety definitions, and governance topics. Brings technical expertise and industry perspective to conversations about AI incidents, benchmarking limitations, and AI-driven organizational practices.

Appears On

Practical AI

Episode Appearances

Practical AI · May 14, 2026

U.S. Congressman Beyer on AI challenges facing America and the World

“Podcast host conducting interview on AI policy and implications”

AI Safety and Security RegulationCybersecurity Vulnerabilities from Advanced AI ModelsJob Displacement and Workforce Transition

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Practical AI · May 7, 2026

The Myth of Model Wars: Open vs Closed AI in 2026

“Co-host providing perspective on physical AI, edge deployment, and defense/national security AI applications”

Open vs Closed AI ModelsModel Benchmarking and Performance MetricsPhysical AI and Edge Deployment

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Practical AI · Apr 23, 2026

The mythos of Mythos and Allbirds takes flight to the neocloud

“Co-host providing insights on neocloud market, frontier models, and edge AI deployment trends”

Allbirds business pivot to AI infrastructureNeocloud and AI-native cloud computingGPU supply chain constraints and centralization

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Practical AI · Mar 25, 2026

AI at the Edge is a different operating environment

“Podcast co-host specializing in AI and autonomy research”

Edge AI architecture and constraintsSmall language models (SLMs)Knowledge distillation techniques

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Practical AI · Mar 17, 2026

Humility in the Age of Agentic Coding

“Podcast co-host and principal AI research engineer”

Agentic programmingAI-assisted software developmentProgramming language design

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Practical AI · Mar 9, 2026

AI policy and the battle for computing power

“Podcast host and AI engineer at Lockheed Martin”

AI Export ControlsSemiconductor Supply Chain SecurityComputing Power vs Data in AI

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Practical AI · Feb 18, 2026

Cognitive Synthesis and Neural Athletes

“Co-host and principal AI research engineer at Lockheed Martin”

AI adoption strategiesCognitive load managementNeural athletes concept

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Practical AI · Feb 13, 2026

AI incidents, audits, and the limits of benchmarks

“Co-host and principal AI research engineer at Lockheed Martin, asks about safety definitions”

AI Incident DocumentationThird-Party AI AuditingAI Safety Benchmarks

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Practical AI · Feb 2, 2026

Inside an AI-Run Company

“Practical AI podcast host and principal AI research engineer at Lockheed Martin”

AI Agent AutonomyImmersive JournalismAI-Powered Startups

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Practical AI · Jan 27, 2026

How is AI shaping democracy?

AI in Democratic ProcessesPublic AI ModelsAI Power Concentration

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Practical AI · Jan 20, 2026

Controlling AI Models from the Inside

AI Model SafetyMechanistic InterpretabilityAI Guardrails

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Practical AI · Jan 9, 2026

2025 was the year of agents, what's coming in 2026?

AI Agents and Agentic WorkflowsReasoning Models and Chain of ThoughtMultimodal AI Input and Output

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Practical AI · Dec 10, 2025

The AI engineer skills gap

AI Engineer Skills GapAcademic-Industry DivideMLOps Education

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