Hidden Layers: AI and the People Behind It

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.

Join Ron Green and Dr. ZZ Si, Co-founder and Distinguished Machine Learning Engineer at KUNGFU.AI as they explore the fascinating journey of computer vision. They discuss the evolution of computer vision, from the early days of handcrafted features to the revolutionary impact of deep learning and convolutional neural networks. Dr. Si shares insights from his groundbreaking work at Google and Apple, and they delve into the significance of AlexNet and ImageNet in transforming AI research. The conversation also covers the rise of transformers and their role in bridging computer vision and natural language processing, as well as the exciting advancements in diffusion models and flow matching. Discover how these innovations are being applied in robotics, healthcare, and more.

In this episode of "Hidden Layers," we dive into the latest developments in artificial intelligence, with insights from Ron Green, Michael Wharton, and Nathan Mandi from KUNGFU.AI. The discussion covers Meta's groundbreaking release of Llama 3.1, an AI model that's pushing the boundaries of open-source technology, and SAM2, the latest innovation in video segmentation. We also explore the importance of high-quality data, the architecture of AI models, and how companies like Meta are driving forward the AI ecosystem.

In this episode of Hidden Layers, Ron sits down with Dr. Katrina Riehl, Principal Technical Product Manager for CUDA and Python at NVIDIA, to explore the evolving role of open source in the age of AI. They discuss the foundational impact of open source technologies, the challenges of open source licensing in the AI boom, and the distinction between free-to-use models and true open source. Dr. Riehl shares her journey in the open source community, insights on AI's impact on open source, and her work at NVIDIA.

In this episode, Ron Green and VP of Engineering Michael Wharton discuss the latest developments in artificial intelligence. They explore Microsoft's Florence-2 model, Microsoft's GraphRAG, Anthropic's Claude 3.5 Sonnet, and NVIDIA AI Enterprise offerings, and much more. The conversation also touches on Runway's Gen-3 text-to-video model, Salesforce's time series forecasting foundation model, and the recent changes in OpenAI's board structure. The episode wraps up with a discussion on the hype and reality of AI advancements and the future of AI in various industries.

In this episode of Hidden Layers, Ron Green and Steve Meier dive into the intricate world of artificial intelligence, reflecting on their experiences over the past six years at KUNGFU.AI. They discuss the challenges and successes they've encountered, including the importance of machine learning engineers, the unexpected rise of generative AI, and the critical role of business alignment in AI projects. They also touch on the evolving landscape of AI governance and the significance of having a Chief Data and AI Officer (CDAO). Watch and listen as they share valuable insights and lessons learned in the ever-evolving field of AI.

Join Ron and AI experts Michael Wharton and Reed Coke from KUNGFU.AI as they unpack the latest news in artificial intelligence. Together they discussed Mamba-2 and Kolmogorov-Arnold Networks (KANs),c GPT4 passing the bar exam in 2023, the dissolution of the superalignment team at OpenAI, and whether or not expert jobs are at risk of being replaced.

Explore the critical role of high performance computing (HPC) in artificial intelligence with experts Jay Boisseau and Luke Wilson. Host Ron Green delves into how HPC enables advancements in AI, from the complexities of managing large-scale compute resources to the evolution of supercomputing. Discover the behind-the-scenes technology that powers today's AI breakthroughs and the innovative solutions driving the field forward.

In this episode Ron interviews Scott Aaronson, a renowned theoretical computer scientist, about the challenges and advancements in AI alignment. Aaronson, known for his work in quantum computing, discusses his shift to AI safety, the importance of aligning AI with human values, and the complexities involved in interpreting AI models. He shares insights on the rapid progress of AI technologies, their potential future impacts, and the significant hurdles we face.

Join Ron and AI industry veteran Paco Nathan as they delve into the latest developments and future directions of artificial intelligence. Paco, managing partner at Derwen Inc. and author of "Latent Space," shares his insights on emerging areas within AI, such as advanced mathematical analysis of models, the role of hardware evolution in decision support systems, and the potential of hybrid neurosymbolic approaches bridging deep learning and symbolic AI. Discover the cutting-edge work happening in data governance and its profound impact on AI evolution. Paco explores overlooked aspects like the strategic use of domain-specific languages (DSLs) in AI training and the importance of aligning AI systems with rigorous governance frameworks. Looking ahead, Paco predicts a hardware revolution that will drive AI capabilities to the edge, facilitating low-power inference and boosting the adoption of sophisticated AI technologies. While discussing the concept of AGI (artificial general intelligence), Paco emphasizes the challenges and complexities surrounding its realization, drawing parallels with the gradual evolution of self-driving cars.