Automation

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.

I Gave an AI Agent the Keys to My Life (Here's What Happened) — Radek Sienkiewicz, Velvet Shark

I Gave an AI Agent the Keys to My Life (Here's What Happened) — Radek Sienkiewicz, Velvet Shark

A deep dive into the practical, long-term experience of giving a personal AI agent (Open-Claw) incremental control over one's digital life. The talk covers the gradual "permission creep," the pivotal role of an Obsidian knowledge base for providing context, the ecosystem of overnight cron jobs for self-maintenance, and the philosophy of using an agent to "optimize for your future self."

Getting Humans Out of the Way: How to Work with Teams of Agents

Getting Humans Out of the Way: How to Work with Teams of Agents

Rob Ennals, creator of Broomy, discusses a paradigm shift in working with AI coding agents: moving away from micromanagement towards orchestrating teams of parallel agents. The key is to design robust, automated validation systems and reshape the development environment to empower agents to work autonomously, efficiently, and at scale.

Build Hour: Workspace agents in ChatGPT

Build Hour: Workspace agents in ChatGPT

A detailed overview of building ChatGPT Workspace Agents, covering the process from conversational setup to deployment. The session demonstrates creating a meeting preparation agent and a software review agent, highlighting features like tool integration, skills, memory, and enterprise-level admin controls.

What is OpenClaw? Inside AI Agents, LLMs and the Agentic Loop

What is OpenClaw? Inside AI Agents, LLMs and the Agentic Loop

AI agents represent a paradigm shift from conversational AI to autonomous systems that can perform actions. This is achieved through an 'agentic loop' combining Large Language Models (LLMs) with tools, as exemplified by the OpenClaw framework, which enables complex, automated workflows while also raising important security considerations.