What if not every part of an AI model needed to think at once? In this episode, we unpack Mixture of Experts, the architecture behind efficient large language models like Mixtral. From conditional computation and sparse activation to r...

In this episode of The Second Brain AI Podcast, we dive into the protocols quietly wiring the agentic AI ecosystem. From MCP (Model Context Protocol) that lets models securely access tools, to A2A (Agent-to-Agent) that standardizes how agents c...

How are people really using AI, at home, at work, and across the globe? In this episode of The Second Brain AI Podcast, we dive into two reports from OpenAI and Anthropic that reveal the surprising split between consumer and enterprise...

Why do LLMs still give different answers even with temperature set to zero? In this episode of The Second Brain AI Podcast, we unpack new research from Thinking Machines Lab on defeating nondeterminism in LLM inference. We cover the su...

In this episode, we explore why large language models hallucinate and why those hallucinations might actually be a feature, not a bug. Drawing on new research from OpenAI, we break down the science, explain key concepts, and share what this mea...