Everyone’s chasing #GenerativeAI for flash, but a quiet revolution is happening where the real money is: predictive AI. In this episode, #F5's Lori MacVittie, Joel Moses, and Dmitry Kit dig into how a team of researchers used #MachineLearning—not an LLM—to design a paint that passively cools buildings by up to 20 degrees. No prompts. No hallucinations. Just real-world impact through smart pattern recognition. Listen in as we unpack what this means for enterprise leaders chasing efficiency, and why your ops and sales teams should be looking for better recipes—not better word salad. It's not about generating magic. It's about discovering truth at scale. Chapters: 00:00 Welcome to Pop Goes the Stack 00:43 Quiet Revolution in AI 03:05 The Predictive Power of GANs 05:35 What is a GAN and how does it work? 08:52 MatterGen: Open Source for Materials Engineering 10:12 Future Potential of GANs in Material Science 11:37 Broader Applications for AI-Driven Design 13:34 AI in Cybersecurity 13:59 Reinforcement Learning & Training Simulators 15:31 Combining Approaches for Cybersecurity 16:45 Small Models Making Big Impact 18:01 Key Takeaways Learn how you can stay ahead of the curve and keep your stack whole with additional insights on app security, multicloud, AI, and emerging tech: https://go.f5.net/mvi5cp4j More about F5: https://go.f5.net/ko675v18 Read our blog: https://go.f5.net/9e1v49c8 Follow us on LinkedIn: https://go.f5.net/wl38kzfp

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