Automation

πŸ”¬ The Limits of AI in Science - Why We Need Self-Driving Labs β€” Joseph Krause, Radical AI

πŸ”¬ The Limits of AI in Science - Why We Need Self-Driving Labs β€” Joseph Krause, Radical AI

Joseph Krause, CEO of Radical AI, details how his company uses Self-Driving Labs (SDLs) and AI scientists to overcome the experimental bottleneck in materials science. By automating the full loop of hypothesis generation, synthesis, characterization, and testing, Radical AI is accelerating the discovery of novel alloys for aerospace, defense, and semiconductor applications, achieving 10x the pace of traditional methods. Krause explains why materials science is uniquely challenging for AI, how human intuition trains the AI, and why experimental data, not models, forms the core competitive advantage in this rapidly evolving, geopolitically significant field.

OpenAI on OpenAI: Stacie Faggioli, Business Finance Officer Applications, OpenAI

OpenAI on OpenAI: Stacie Faggioli, Business Finance Officer Applications, OpenAI

OpenAI's finance team showcases how they've transformed operations using AI tools like ChatGPT, ChatGPT for Excel, and custom agents built with Codex. They highlight principles of AI-native design, headcount leverage, rapid iteration, and specific applications that significantly boost individual productivity and organizational efficiency, including investor relations, LBO modeling, marketing analytics, sales insights, financial reporting automation, and agent-driven procurement, credit checks, contract review, and vendor risk management.

Cooking with Agents in VS Code β€” Liam Hampton, Microsoft

Cooking with Agents in VS Code β€” Liam Hampton, Microsoft

Liam Hampton from Microsoft presents a practical framework for using AI agents effectively by categorizing them into three types: local, background, and cloud. He demonstrates how to run all three simultaneously from a single VS Code interface to solve separate problems in one codebase, showcasing a powerful, integrated developer workflow.

Scaling Agents on Kubernetes with acpx and ACP β€” Onur Solmaz, OpenClaw

Scaling Agents on Kubernetes with acpx and ACP β€” Onur Solmaz, OpenClaw

Onur Solmaz from OpenClaw discusses the challenge of managing 300-500 daily, often AI-generated, pull requests. He introduces ACPX, a headless CLI for the Agent Client Protocol (ACP), designed to automate PR triage through a node-based workflow. The talk culminates in a vision for on-demand, disposable agent pods on Kubernetes, managed by a Go operator that provisions and tears down full compute environments per task, wiring them into chat platforms like Slack.

What AI Agents Can Do Inside MATLAB and Simulink - Tianyi Zhu | Podcast #173

What AI Agents Can Do Inside MATLAB and Simulink - Tianyi Zhu | Podcast #173

Tianyi Zhu from MathWorks explains the key differences between AI agents and chatbots, highlighting how agentic AI acts as a powerful amplifier for engineers. The discussion covers practical use cases in MATLAB and Simulink, measurable ROI in automotive workflows, and strategies for safely integrating non-deterministic AI into high-stakes engineering environments.

The Founders Who Left Tesla to Rebuild America | a16z

The Founders Who Left Tesla to Rebuild America | a16z

Erin Price-Wright, Turner Caldwell (Mariana Minerals), and Drew Baglino (Heron Power) discuss closing America's critical minerals gap and modernizing the power grid for the AI economy. They cover how automation, reinforcement learning, and lessons from Tesla can accelerate mining, refining, and grid infrastructure development to compete with China and enable re-industrialization.