Hidden Layers: AI and the People Behind It

In this episode of Hidden Layers, host Ron Green sits down with Dr. Anna Ivanova, Assistant Professor of Psychology at Georgia Tech and Director of the Language, Intelligence, and Thought Lab. Dr. Ivanova's research explores the intricate relationship between language, cognition, and artificial intelligence, shedding light on how the brain processes language and how large language models (LLMs) compare to human thought.

In this episode of Hidden Layers: Decoded, Ron Green, Dr. ZZ Si, and Michael Wharton explore the latest AI breakthroughs, including DeepSeek’s R1 model, Meta’s work on intuitive physics, and Stanford’s S1 model. They discuss the rise of cost-effective reinforcement learning, diffusion-based language models, and DeepMind’s advances in geometry-solving AI. The team also dives into AI-driven biology with Evo2 and the emergence of civilizations in a Minecraft simulation. Throughout, they reflect on the future of AI, from domain-specific models to the impact of world models on business and science.

In this episode of Hidden Layers, host Ron Green speaks with Dr. Peter Stone, a leading expert in AI and robotics, about the evolution of autonomous systems. They explore multi-agent AI, RoboCup’s ambitious goal of creating robot soccer players that can beat humans by 2050, and the ongoing hardware vs. software challenge in robotics. Dr. Stone shares insights on the power of large language models, the rise of agentic AI, and the importance of balancing neural networks with traditional planning systems. They also discuss AI ethics, alignment, and what the next decade could bring for intelligent agents and general-purpose service robots.

In this episode of Hidden Layers: Decoded, we dive into cutting-edge AI advancements over the last month. Explore Agentic AI and innovations like DeepMind Genie 2 and Cosmos Text2World, transforming virtual environments. Discover breakthroughs like RStar Math and DeepSeek v3, delivering efficiency and performance in reasoning and problem-solving. We also discuss test-time scaling, coding agents, and the drama behind the NeurIPS Best Paper Award.

In this special 2024 AI Year in Review, Ron is joined by AI experts ZZ Si (Co-Founder & Distinguished Engineer), Emma Pirchalski (AI Strategist), and Michael Wharton (VP of Engineering) to reflect on the most important AI moments of 2024. They come together to discuss the defining stories, key breakthroughs, and major challenges that shaped AI in 2024. Ron leads the conversation, drawing out their perspectives on the year's most impactful developments, unfiltered reflections, bold insights, and forward-looking predictions for the future of AI.

In this episode of Hidden Layers: Decoded, Ron Green teams up with KUNGFU.AI's ZZ Si and Michael Wharton to explore groundbreaking advancements in artificial intelligence. From DeepMind’s AlphaFold 3 revolutionizing computational biology to debates on the limits of scaling AI models, the conversation covers all the latest AI news from the last month. Highlights include robotic surgery advancements powered by Johns Hopkins’ AI, NVIDIA’s LLaMA-Mesh for 3D mesh generation, and the rise of generative AI in gaming with the groundbreaking Oasis AI game.

In this episode of "Hidden Layers," Ron Green dives into the transformative impact of AI on software development with Peter Wang, Chief AI and Innovation Officer at Anaconda. They discuss the rise of AI coding assistants, tools like GitHub Copilot and Cursor, and their potential to change how developers work. From coding support to the future of AI-native languages, they explore whether AI could replace programmers or simply elevate them to a new level. Peter shares insights from his pioneering work in the Python data science community and the broader implications of AI in fields like edge computing, data privacy, and open-source development.

In this episode of Hidden Layers, Ron Green is joined by KUNGFU.AI's Michael Wharton and Dr. Steve Kramer to discuss the latest news in AI. They cover OpenAI’s leadership turnover, the rise of smaller, more efficient AI models, and the growing importance of AI governance. Plus, they explore Meta's Llama 3.2, a new multimodal model, and share insights from recent AI conferences. The conversation concludes with a discussion of AI experts winning Nobel Prizes for their groundbreaking work in physics and chemistry.

In this episode of Hidden Layers, host Ron Green talks with Cole Camplese, the Chief Information Officer at the University of Texas at Austin, about the transformative impact of AI in higher education. With over 25 years of experience in driving digital transformation, Cole discusses how AI is reshaping universities, from personalized learning to addressing the digital divide. They explore the challenges of adopting AI, balancing innovation with governance, and managing rapid advancements in technology. Cole also shares insights on the future of academic integrity in the "golden age of cheating" and how he uses custom AI tools, like GPT, in both his personal and professional life.

In this episode of Hidden Layers, Ron Green and Michael Wharton dive into the latest advancements in artificial intelligence, with news from DeepMind, OpenAI, Waymo, Apple, and more. They discuss OpenAI's rumored Strawberry initiative, which promises enhanced reasoning capabilities for ChatGPT, the groundbreaking potential of Alpha Proteo for computational biology, and new developments in autonomous driving with Waymo. The discussion also covers Apple’s AI-powered advancements in their new iOS release, and the implications of California's new AI regulation bill. Whether you're a tech enthusiast or AI researcher, this episode offers insights into the rapidly evolving world of AI and its applications.