#287 Self-Service Generative AI Product Devel...

World models are emerging as the next step after large language models, pushing AI from book knowledge toward systems that can simulate the physical and social world. Instead of just generating text or short videos, the goal is steerable simulation with long-horizon consistency a ...  Show more

Across the AI industry, high-stakes tools are being deployed in places where errors can harm people: sepsis alerts in hospitals, identity checks, welfare fraud detection, immigration enforcement, and recommendation systems that shape life outcomes. The pattern is familiar: scale ...  Show more

In this conversation with a16z general partner David George, Scale AI founder and CEO Alexandr Wang discusses the three pillars of AI—models, compute, and data—and how creating abundant data is core to the evolution of gen AI. With Scale’s work across enterprise, automotive, and ...  Show more

Daniele Petecchi didn’t realize how complex the process of producing tires was until he joined Pirelli, a company that’s been in the business of manufacturing tires for more than 150 years. But now, as head of data management and AI, he’s focused on leveraging the company’s wealt ...  Show more

Daliana Liu is a big name in data science teaching, and she has always been generous in sharing everything she knows about getting a job in data science. In this episode, she continues to extend her generosity, helping listeners define their approach to achieving a fulfilling car ...  Show more

Vishal Gupta, engineering manager, machine learning at Reddit, joins the podcast to explain how the social media community platform uses artificial intelligence to improve user experience and ad relevance. Much of the advertising work relies on increasingly sophisticated recomme ...  Show more