Jan Oberhauser, founder of n8n, discusses the company's strategic pivot from a workflow tool to an AI automation platform. He explains how focusing on community, adopting a "connect everything to anything" philosophy, and enabling the creation of complex AI agents led to a 4x revenue increase in just eight months.
Software developer Akshay Agrawal discusses Marimo, a next-generation reactive notebook for Python designed to solve the reproducibility and workflow issues inherent in traditional notebooks. He explains how Marimo's reactivity, developer-friendly design, and ability to transform into a data app create a seamless environment for exploration and deployment.
An in-depth look at building real-time, production-grade voice AI agents using the open-source Pipecat framework. This summary covers the core concepts of voice AI pipelines, the shift to speech-to-speech models like Gemini Live, and advanced techniques for managing latency, context, and turn-taking.
A deep dive into the challenges of building production-grade, low-latency voice AI agents, and how the open-source, vendor-neutral framework Pipecat provides a comprehensive solution for development, deployment, and scaling. Learn about voice AI architecture, the trade-offs between speech-to-speech and text-based models, and practical deployment strategies.
Sriram Krishnan, Senior White House Policy Advisor on AI, outlines the America AI Action Plan, a strategy designed to ensure U.S. dominance in artificial intelligence. He discusses the three core pillars of the plan—infrastructure, innovation, and global standards—while also exploring the geopolitical race with China, the critical role of open-source models, and the need for America to own the full AI stack, from GPUs to applications.