Feb 10, 2026

Speed and Scale: How Today's AI Datacenters Are Operating Through Hypergrowth

Kris Beevers, CEO of NetBox Labs, explores the hypergrowth in AI infrastructure, detailing how teams are compressing the design, build, and deployment cycle from years to months. The discussion covers the primary bottlenecks like power and logistics, the critical need for intent-driven automation, and the role of a standardized data model in managing the immense complexity from physical cabling to logical configuration.

Feb 10, 2026

Handling AI-Generated Code: Challenges & Best Practices • Roman Zhukov & Damian Brady

Roman Zhukov (Red Hat) and Damian Brady (GitHub) explore the evolving landscape of AI-assisted software development, discussing its impact on developer workflows, code quality, security, and the future of developer roles. They emphasize that while AI tools are powerful amplifiers, human oversight remains essential for quality, security, and legal compliance.

Feb 10, 2026

Building the GitHub for RL Environments: Prime Intellect's Will Brown & Johannes Hagemann

Prime Intellect's Will Brown and Johannes Hagemann discuss the paradigm shift from static prompting to dynamic, environment-based AI development. They introduce their Environments Hub, a platform aimed at democratizing frontier-level training and enabling companies to build specialized models by compounding institutional knowledge.

Feb 10, 2026

From PhD Side Project to $500M ARR: Will Falcon’s PyTorch Lightning Story

Will Falcon, CEO of Lightning AI, discusses the company's merger with Voltage Park to create a full-stack AI neo-cloud. He delves into the capabilities of Lightning AI Studio, a comprehensive platform for AI development, and recounts the origin story of PyTorch Lightning, from a personal research tool to a world-leading open-source framework.

Feb 10, 2026

Securing AI Agents with Zero Trust

This post explores how to secure modern agentic AI systems by applying the core principles of Zero Trust. It details the unique attack surfaces of AI agents, such as prompt injection and model poisoning, and outlines a comprehensive security architecture including non-human identity management, AI firewalls, and the critical role of human oversight.

Feb 09, 2026

Episode 13 - The Thinking Behind Ads in ChatGPT

Asad Awan from OpenAI details the company's principled approach to introducing ads in ChatGPT. He explains how user trust, privacy, and control are prioritized, ensuring a strict separation between model answers and advertisements, and outlines a future where AI simplifies advertising for businesses.