Hidden Layers: AI and the People Behind It

Hidden Layers: AI and the People Behind It, is a series focused on all things artificial intelligence. Hosted by our Co-Founder and CTO, Ron Green, who uses his 20+ years of AI experience to break down complex topics into digestible, engaging conversations. ‍ If you’re a tech professional, or just looking to better understand the world of AI, you’re in the right place. Each episode will explore cutting-edge technical advances, discuss the art of the possible, and review some of the incredible work being done in the field.

Hidden Layers: AI and the People Behind It is a technology podcast hosted by KUNGFU.AI, with 53 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

KUNGFU.AI hosts Hidden Layers: AI and the People Behind It, a technology show with 53 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Hidden Layers: AI and the People Behind It

  AI Is Designing the Next Cancer Fighter | EP.53

  May 14, 202642 minS0

  <p >What if AI could design proteins to help your immune system find and kill cancer cells? That's not a hypothetical — it's what 28 teams across 40 countries attempted in the Bits-to-Binders Challenge, an open-science competition organized by PhD students at the University of Texas at Austin.</p><p >In this episode, Ron sits down with three of the organizers — Clay Kosonocky, Daryl Barth, and Aaron Feller — to unpack how they pulled off one of the most ambitious student-led experiments at the intersection of AI and biology. Together, they submitted 12,000 AI-designed protein sequences to bind to a cancer target called CD20, then valida...

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  Hidden Layers: AI and the People Behind It

  Anthropic Code Leak: A Rare Look Inside Frontier AI | EP.52

  Apr 23, 202628 minS0

  <p >What can we actually learn from the recent Anthropic code leak?</p><p >In this episode of Hidden Layers, Ron Green, Michael Wharton, and Dr. ZZ Si unpack what the leak reveals about how a frontier AI company may be building agentic systems in practice. They explore Anthropic’s apparent approach to memory, skills, and context compaction, and why the biggest takeaway is not model weights, but the harness around the model. The conversation also gets into why simple, human-readable systems may be outperforming more complex architectures, and what these design choices could mean for the next generation of do...

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  Hidden Layers: AI and the People Behind It

  The "AI Bubble" Bubble | EP.51

  Mar 12, 202632 minS0

  <p >Is the AI bubble narrative itself a bubble?</p><p >Billions of dollars are flowing into chips, data centers, and frontier models. From the outside, it can look speculative. But from inside the industry, the signal looks very different.</p><p >In this episode of Hidden Layers, Ron Green is joined by Michael Wharton and Dr. ZZ Si to discuss what it actually feels like to build with AI today. They explore rapid advances in model capabilities, the growing power of coding agents, and why many organizations are still struggling to absorb the productivity gains AI already enables.</p><...

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  Hidden Layers: AI and the People Behind It

  Did AI Kill Programming? | EP. 50

  Feb 19, 202630 minS0

  <p >Are AI coding tools actually replacing programmers, or just changing how software gets built? In this episode of Hidden Layers, Ron Green sits down with Dr. ZZ Si and Michael Wharton to unpack what has shifted with modern coding agents, what has not, and where the hype breaks down.</p><p >They share concrete examples from their own workflows, including how coding tools have moved from autocomplete to handling larger chunks of work, and why the real bottleneck is no longer writing syntax, but defining intent, architecture, and product direction. The conversation also explores how these tools are reshaping...

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  Hidden Layers: AI and the People Behind It

  Your AI Is Too Big, Too Expensive, and Probably Wrong | EP. 49

  Jan 22, 202630 minS0

  <p >What if the most powerful AI in your organization isn’t the biggest model you can buy, but the one trained on data only you own?</p><p >In this episode of Hidden Layers, Ron Green is joined by Dr. ZZ Si and Michael Wharton to break down why domain-specific AI models consistently outperform general-purpose systems in real enterprise environments. They explore how narrowly scoped models deliver higher accuracy, lower costs, better reliability, and stronger governance, especially when built on proprietary data.</p><p >Through real-world examples spanning finance, industrial systems, healthcare, and document understanding, the conversation tackles when to...

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