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Chris Benson

Mentioned in 10 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

Episode Appearances

Practical AI

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

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

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

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

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

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

Practical AI · Jan 27, 2026

How is AI shaping democracy?

AI in Democratic ProcessesPublic AI ModelsAI Power Concentration
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Practical AI

Practical AI · Jan 20, 2026

Controlling AI Models from the Inside

AI Model SafetyMechanistic InterpretabilityAI Guardrails
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Practical AI

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

Practical AI · Dec 10, 2025

The AI engineer skills gap

AI Engineer Skills GapAcademic-Industry DivideMLOps Education
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