Episodes: 380
Frequency: Biweekly
Rating: 4.6/5.0
Estimated listeners: 1k-10k
Gender skew: Male
Location: USA
YouTube: 33.4k subscribers
Instagram: 1.1k followers
Publicly listed emails
craig@eye-on.ai
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Craig S. Smith - Longtime New York Times correspondent and technology journalist covering artificial intelligence and its broader economic, political, and global implications.
Mike LeBlanc - Humanoid Robotics Deployment, Robot Training, Industrial Automation, Defense Applications, And Commercialization.
Sid Sheth - AI Chip Architecture, Inference Economics, Memory Bandwidth, Premium AI Services, And Organizational Ai.
Drew Cukor - Enterprise AI Transformation, Ai-native Business Operations, Data Infrastructure, Defense Technology, And Organizational Adoption.
Paolo Ardoino - Edge AI, On-device Intelligence, Open-source AI, Privacy, Decentralized Computing, And AI Infrastructure Economics.
The Hidden Algorithm That Decides Which Software AI Will Recommend | Tim Sanders, G2
September 14, 2026
Most companies investing in AI visibility are optimizing for the wrong thing. Being cited by an AI response and being recommended by an AI response are completely different outcomes, with click-through rates that differ by a factor of 70. Tim Sanders, Chief Innovation Officer of G2 and executive fellow at Harvard's AI Institute, joins Craig Smith to explain the hidden mechanics behind how ChatGPT and Gemini actually decide which software to recommend, and why the answer has almost nothing to ...
The Reason 30 Years of Cybersecurity Has Failed - and What Actually Fixes It | Trent Telford, Qanapi
September 10, 2026
Every major data breach in the last 30 years shares the same root cause: the data inside the wall was never protected, only the wall. And AI frontier models are now making that wall easier to breach than ever, scanning codebases externally to discover undisclosed vulnerabilities and write exploits before anyone knows the hole exists. Trent Telford, Chairman, CEO & Founder of Qanapi, joins Craig Smith to explain why the entire architecture of conventional cybersecurity is structurally broken, ...
86% of What Coding Agents Do Is Just Reading — Not Solving | Alexander Whedon of Subquadratic
September 08, 2026
Every AI model in production today has the same hidden tax: doubling the context window quadruples the compute. That's what quadratic compute complexity means in practice, and it's the reason enterprises are spending most of their AI engineering budget on context management rather than on the actual problems they're trying to solve. Alexander Whedon, co-founder and CTO of Subquadratic, joins Craig Smith to explain how SubQ's sparse attention mechanism eliminates that tax, achieving 40 times f...
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craig@eye-on.ai
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