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...

In this episode of we dive into the emerging discipline of context engineering: the practice of curating and managing the information that AI systems rely on to think, reason, and act.We unpack why context engineering is becoming importa...

In this episode, we explore why Small Language Models (SLMs) are emerging as powerful tools for building agentic AI. From lower costs to smarter design choices, we unpack what makes SLMs uniquely suited for the future of AI agents.Sou...

In this episode, we introduce large language models (LLMs), what they are, how they work at a high level, and why prompting is key to using them effectively. You’ll learn about different types of prompts, how to structure them, and what makes a...

In this episode, we break down the fundamentals of prompt engineering, explore how examples and context shape AI behavior, and dive into advanced techniques that help models reason through complex tasks. We finish with hands-on tips you can sta...

This episode offers practical guidance on implementing AI technologies within businesses, particularly focusing on AI agents. We outline the potential benefits of AI, such as increased efficiency and improved decision-making, and provide a fram...