Hidden Layers: AI and the People Behind It

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.

In this episode, we change things up a bit. On May 1st, Ron met with Michael Wharton and Dr. ZZ Si of KUNGFU.AI to unpack the latest developments in AI. Together, we'll explore recent groundbreaking advancements, dissect their technological underpinnings, and debate their potential long-term effects on society and industry. They chat through Phi-3, Llama 3, Transformer-XL, InternVL, Infini-Attention, Apple’s MM1, OpenELM, Sam Altman's recent remarks on "steamrolling" the competition and more.

Join Ron as he explores the ins and outs of hiring practices in the fast-paced AI industry with KUNGFU.AI’s Director of People, Ryman Stringer. In this episode, Ron and Ryman discuss best practices for building and nurturing diverse AI teams. Ryman shares valuable insights on identifying top talent that aligns not only with technical skills but also with company culture and values.Learn about essential screening techniques, the importance of upskilling and continual growth, and strategies for fostering ethical and psychologically safe environments within AI teams. Discover how KUNGFU.AI cultivates a unique culture that emphasizes collaboration, growth, and inclusivity.

Join Ron Green in episode 17 as he delves into the world of artificial intelligence with industry veterans Paco Nathan and Dr. Steve Kramer.In this episode, they explore the rise of graph neural networks (GNNs), a game-changer in AI for modeling complex relationships across various domains. From weather forecasting to fraud detection, GNNs are revolutionizing how we leverage connected data.Discover how GNNs reduce computation time, tackle the cold start problem in recommendation engines, and even aid in election integrity. Learn about real-world applications in pharma, healthcare, and cybersecurity, and the promising future of hybrid AI architectures merging symbolic and neural approaches.Resources: www.kungfu.ai/videos/episode-17-understanding-real-world-applications-of-graph-neural-networks