Mind-Reading AI Generates Videos from Brainwa...

Why “context graphs” have suddenly become one of the most important ideas in enterprise AI, and what they reveal about why agents fail or succeed at real work. This episode explains the core idea behind context graphs, how they differ from systems of record and knowledge graphs, ...  Afficher plus

Most AI discussions focus on speed and automation, but a deeper question is scale. In this episode, NLW reads and analyzes essays by Ivan Zhao and Aaron Levie that argue AI agents change the limits of knowledge work itself—allowing organizations to operate beyond human rhythms, m ...  Afficher plus

In this episode, we delve into Microsoft's latest AI-powered tool for Windows, designed specifically to captivate the Gen Z audience. We'll discuss its features, implications, and how this innovative tech giant is using AI to shape the future of user experience.

GenAI is often what people think of when someone mentions AI. However, AI is much more. In this episode, Daniel breaks down a history of developments in data science, machine learning, AI, and GenAI in this episode to give listeners a better mental model. Don’t miss this one if y ...  Afficher plus

In this episode, Jaeden Schafer discusses Google's current position in the AI landscape, focusing on the significance of the Gemini project for the company's future. He highlights the urgency expressed by CEO Sundar Pichai regarding the need for rapid innovation and adaptatio ...

Discover how Retrieval-Augmented Generation (RAG) is revolutionizing artificial intelligence by combining external knowledge retrieval with AI generation. Unlike traditional AI models limited by training data, RAG systems access real-time information to deliver accurate, transpar ...  Afficher plus