Probabilistic programming

How Jev Turns AI Into Software That Gets Things Done

How Jev Turns AI Into Software That Gets Things Done

Diogo Almeida, founder of TypeSafe AI, joins a16z's Ben Horowitz and Martin Casado to explore why AI is so capable yet so underused for automation. He argues that coding agents make developers faster without making software better, and introduces Jev, a primitive that embeds probabilistic, intent-aware intelligence inside programs. The conversation covers reliability as the key to programmable AI, the revival of probabilistic software, why SaaS companies are well positioned to benefit, and the long-term goal of technology that can reliably "do what I mean."

909: Causal AI — with Dr. Robert Usazuwa Ness

909: Causal AI — with Dr. Robert Usazuwa Ness

Researcher Robert Ness discusses the practical implementation of Causal AI, distinguishing it from correlation-based machine learning. He covers the essential role of assumptions about the data-generating process, key Python libraries like DoWhy and Pyro, the intersection with LLMs, and a step-by-step workflow for tackling causal problems.