Daniel Whitenack

Mentioned in 10 analyzed podcast episodes across 1 show

Co-host of the Practical AI podcast and CEO of Prediction Guard, an AI implementation company. Known for discussing AI safety, incidents, and real-world challenges in deploying AI systems. Regularly leads conversations on AI audits, benchmarks, and practical considerations for AI adoption.

Appears On

Practical AI

Episode Appearances

Practical AI · May 7, 2026

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

“Co-host discussing AI trends, agentic systems, and business implications of model commoditization”

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 discussing Allbirds pivot, neocloud, Mythos model, and AI governance implications”

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

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Practical AI · Mar 17, 2026

Humility in the Age of Agentic Coding

“Podcast host and CEO of Prediction Guard, AI company”

Agentic programmingAI-assisted software developmentProgramming language design

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Practical AI · Feb 18, 2026

Cognitive Synthesis and Neural Athletes

“Host and CEO at Prediction Guard, discussing AI implementation challenges”

AI adoption strategiesCognitive load managementNeural athletes concept

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Practical AI · Feb 13, 2026

AI incidents, audits, and the limits of benchmarks

“Podcast host and CEO of Prediction Guard, leads discussion on AI safety and incidents”

AI Incident DocumentationThird-Party AI AuditingAI Safety Benchmarks

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Practical AI · Feb 2, 2026

Inside an AI-Run Company

“Regular co-host of Practical AI podcast who was absent due to flu”

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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