Happy New Year! In this episode, Ryan talks with Jetify founder and CEO Daniel Loreto, a former engineering lead at Google and Twitter, about what AI applications have in common with Google Search. They also discuss the challenges inherent in developing AI systems, why a data-driven approach to AI development is important, the implications of non-determinism, and the future of test automation.
Today’s guest is Logan Kilpatrick, a senior product manager at Google, who tells Ben about his journey from software engineering to machine learning to product management, all with an emphasis on reducing developer friction. They talk through the challenges of non-determinism in AI models and how Google is addressing these issues with a new feature: Grounding with Google Search. Plus, what working at the Apple Store taught Logan about product management.
The home team talks about Google’s new AI model, Gemini; the problems with regulating technology that evolves as quickly as AI; how governments can spy on their citizens via push notification; and more.
Culture and science are happening in real-time during the worldwide COVID-19 epidemic, which means that Apple and Google are working together in collaboration with health and governmental organizations and rapidly publishing specifications and standards.
