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.