Oct 13, 2025

How to build agents that take ACTION

Alex Salazar, CEO of Arcade, argues that the true value of AI is not in chatbots but in agents that can take real-world actions. He details the primary reasons agents fail to reach production—security, cost, latency, and accuracy—and introduces an "Agent Hierarchy of Needs" as a framework for building robust, production-ready agents. The talk emphasizes a critical shift from exposing raw APIs to building intention-based tools and solving the complex challenge of agent authorization through a delegated model.

Oct 13, 2025

OpenAI x Broadcom — The OpenAI Podcast Ep. 8

OpenAI's Sam Altman and Greg Brockman, alongside Broadcom’s Hock Tan and Charlie Kawwas, announce a strategic partnership to co-design custom AI chips and vertically integrated systems. This collaboration aims to build the next generation of AI infrastructure, starting with a 10-gigawatt deployment, to meet the world's soaring demand for intelligence.

Oct 13, 2025

Columbia CS Professor: Why LLMs Can’t Discover New Science

Professor Vishal Misra of Columbia University introduces a formal model for understanding Large Language Models (LLMs) based on information theory. He explains how LLMs reason by navigating "Bayesian manifolds", using concepts like token entropy to explain the mechanics of chain-of-thought, and defines true AGI as the ability to create new manifolds rather than just exploring existing ones.

Oct 13, 2025

MCP vs gRPC: How AI Agents & LLMs Connect to Tools & Data

A deep dive into how AI agents connect to external tools, comparing the AI-native Model Context Protocol (MCP) with the high-performance gRPC framework. The summary explores their respective architectures, discovery mechanisms, and performance trade-offs, concluding with a vision for their complementary roles in future AI systems.

Oct 13, 2025

Deep Dive: Ivy Ross & Isabelle Olsson on the Early Days of Google Glass

Astro Teller, Ivy Ross, and Isabelle Olsson recount the journey of creating Google Glass. They delve into the human-centered design philosophy, the innovative 'Explorer Program' as a public learning platform, the unexpected social and technical challenges, and the crucial lessons learned about timing and innovation in launching moonshot technologies.

Oct 11, 2025

Sparse Activation is the Future of AI (with Adrian Kosowski)

Adrian Kosowski from Pathway explains their groundbreaking research on sparse activation in AI, moving beyond the dense architectures of transformers. Their model, Baby Dragon Hatchling (BDH), mimics the brain's efficiency by activating only a small fraction of its artificial neurons, enabling a new, more scalable, and compositional approach to reasoning that isn't confined by the vector space limitations of current models.