Chris Benson

Exploit Development, Agentic Vulnerability Discovery, and Fake PoCs

Spencer McIntyre, Director of Exploit Development at VulnCheck, joins hosts Daniel Whitenack and Chris Benson to discuss how AI is altering vulnerability research and exploit generation. They explore the critical distin…

• Spencer McIntyre draws a direct line between modern agent swarms and old distributed fuzz farms that scaled across 100 nodes to stress-test targets like Google Chrome. Read →
• Formal verification programs run by proprietary AI vendors fail to unblock exploit development. VulnCheck director Spencer McIntyre notes that vetted researcher access rarely stop… Read →
• Data from VulnCheck's ThreatCon analysis shows that in 2026, the volume of broken or illegitimate public proof-of-concept (PoC) exploits crossed 50% for the first time. Read →

Education is Failing our Students in this AI-Driven World

Hosts Daniel Whitenack and Chris Benson discuss how current elementary, secondary, and higher education systems fail to prepare students for an AI-integrated workforce. They explore bureaucratic and institutional constr…

Narrative intelligence and the human advantage

Executive and leadership coach Reed Frerichs joins Daniel Whitenack and Chris Benson to discuss narrative intelligence, identity adaptation, and the human advantage in an era shaped by artificial intelligence. Frerichs…

Open models and the future of Physical AI with NVIDIA

Ming-Yu Liu, Vice President of Cosmos Lab at NVIDIA, joins Daniel Whitenack and Chris Benson to discuss the critical role of open foundation models and world models in advancing physical AI. He explains the differences…

• Physical AI refers strictly to models deployed on physical devices that perturb the physical state of the environment to produce tangible, material results. Read →
• Cloud language models hide hardware inefficiencies by batching hundreds of concurrent user requests; physical robots cannot aggregate requests and must run batch-size-one inferenc… Read →
• Ming-Yu Liu leads NVIDIA Cosmos Lab to build foundation models that simulate physical physics rather than parse web text. Read →

From AGENTS.md to Enterprise Deployment

Nick Kuhn from VMware Tanzu Platform joins Daniel Whitenack and Chris Benson to discuss the realities of deploying AI agents in enterprise environments. They explore the transition from running agents locally to product…

• Nick Kuhn spent 14 years inside large corporate IT environments before his 5 years at VMware Tanzu, learning that assuming external internet access kills enterprise deals on day o… Read →
• Local AI agents store context in local markdown files, but ephemeral cloud containers destroy that file system state on restart. Read →
• Centralized Model Context Protocol (MCP) gateways manage and bind agents to specific subsets of tools, replacing unmanaged tool connections across 30 to 40 backend servers. Read →

Computer-Use Agents and the Future of the Agentic Internet

Chris Benson and Demetrios Brinkmann discuss the rapid evolution of AI agents, focusing on the Agentic AI Foundation's governance of Model Context Protocol (MCP) and real-world applications of computer-use agents. They…

• Conversion rate optimization tactics like pop-ups, upsells, and exit discounts are obsolete when automated software executes purchases instead of human eyes. Read →
• Frontier labs are training agent behaviors directly into foundation weights via reinforcement learning, causing base models to expect their vendor's proprietary runtime environmen… Read →
• Demetrios Brinkmann argues that vision-driven computer-use models remove the need for custom developer APIs by interacting directly with graphical user interfaces. Read →