Hidden Layers: Exploring the People and Technology Behind AI

About Hidden Layers: Exploring the People and Technology Behind AI

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.

Publisher

KUNGFU.AI

Category

technology

Language

en

Explicit

No

First episode

23 Jan 2024

Latest episode

14 May 2026

Latest episodes

8 of 74 episodes have a transcript.

1. 

   14 May 2026TRANSCRIPT

   AI Is Designing the Next Cancer Fighter | EP.53

   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. 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 validated the results in real biological assays. The conversation covers the 100-year history of protein folding, how AlphaFold changed everything, why AI biology can't just rely on benchmarks, what a CAR-T cell actually does, and what a 7% hit rate tells us about where the field really stands. Plus: open source science, the verification gap between digital predictions and wet lab reality, and why a global team of strangers working together might be the most hopeful signal of all. 00:00 Intro & Why AI Protein Design Matters 02:38 Why Protein Folding Is So Important 04:47 What AlphaFold Changed 07:59 From Predicting Proteins to Designing Them 11:10 The Rise of AI Protein Design 13:27 AI Skepticism in Biology 15:34 Why Wet Lab Validation Still Matters 20:36 Inside the Bits-to-Binders Challenge 22:05 Designing CAR-T Cell Proteins 26:57 Why Most Designs Failed 31:12 Open Source Biology & Global Collaboration 33:37 Competition Winners & Best Results 35:39 Final Takeaways on AI + Biology

2. 

   23 Apr 2026TRANSCRIPT

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

   Ron Green and Michael Wharton interview Dr. ZZ Si about the Anthropic code leak, revealing practical insights into building agentic AI systems and the importance of the surrounding harness.

3. 

   12 Mar 2026TRANSCRIPT

   The "AI Bubble" Bubble | EP.51

   Host Ron Green interviews AI experts Michael Wharton and Dr. ZZ Si about the reality of building with AI today, dissecting the AI bubble narrative and its infrastructure investments.

Inside a recent episode

AI Is Designing the Next Cancer Fighter | EP.53

Published 14 May 2026 · Transcript excerpt

[…] It's crazy. Yeah. Okay so I have to ask who were the winners of the competition. Yeah. So we had two main categories for who won. The first one was in the high turbid screen and this was more this is more like like who had the best hit rate overall in this whole thing. And so from the high turbid screen the best hit rate was nuclear UK London and they had a 38 % hit rate of their submitted sequences which was like pretty much astoundingly high honestly. We were pretty shocked by that. And then after that so from that screen as I was kind of mentioning earlier I think we were we took the top designs from some of the teams. […]

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Apple Podcasts (US)

5.0 / 5

3 ratings

Spotify

5.0 / 5

6 ratings

Podcast Authority Score: 35 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

Quality

46

Social presence

0

YouTube

0

Engagement

60

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