Apr 08, 2026

Agentic Engineering & PINNs: AI for Simulation Engineers - James Shaw | Podcast #172

James Shaw, a mechanical engineer and Ansys channel partner, delves into the current and future impact of agentic AI and physics-informed neural networks (PINs) on simulation workflows. He explores how AI is revolutionizing aspects from tech support and model setup to the solver itself, particularly in CFD. The discussion also covers the implications for the engineering job market, the 'senior-junior inversion crisis', and the continued irreplaceability of skilled engineers due to the inherent physicality of the world, emphasizing the need for robust, trustworthy data to train AI.

Apr 08, 2026

Bending a Public MCP Server Without Breaking It — Nimrod Hauser, Baz

Learn practical strategies to adapt third-party MCP server tools for production AI applications. This talk covers five key practices: curating tools, enhancing descriptions, implementing deterministic guardrails, composing new tools from existing ones, and leveraging tools as simple functions, all demonstrated through a real-world "Spec Reviewer" example.

Apr 07, 2026

Extreme Harness Engineering for the 1B token/day Dark Factory — Ryan Lopopolo, OpenAI Frontier

Ryan Lopopolo of OpenAI's Frontier team discusses "Harness Engineering," a new paradigm where AI agents manage the entire software development lifecycle. He details an experiment building a 1M LOC product with zero human-written code, shifting the engineer's role from coding to designing systems and context for agents. The conversation covers the Symphony orchestration framework, the concept of "agent-legible" software, and the future of AI-driven development.

Apr 07, 2026

AI Won't Take Your Job—It Will Make You the CEO | The a16z Show

Balaji Srinivasan discusses the paradoxical nature of AI, which lowers creation costs while simultaneously raising verification costs. He argues this tension pushes society toward a "trusted tribe" model, similar to the Chinese internet, where AI excels within high-trust groups but struggles between them. The conversation covers why physical tasks are easier to automate than digital ones, how AI makes everyone a CEO rather than obsolete, and why crypto, particularly Zcash, serves as a necessary counterbalance for inter-tribe transactions in an AI-driven world.

Apr 03, 2026

SpaceX IPO & AI data centers in space

A discussion on the feasibility of AI data centers in space, the user backlash against Bluesky's AI assistant "Attie," and the fine line between using AI as a tool (cognitive offloading) and relinquishing thought (cognitive surrender).

Apr 02, 2026

Moonlake: Multimodal, Interactive, and Efficient World Models — with Fan-yun Sun and Chris Manning

Moonlake AI presents a distinctive approach to world modeling, prioritizing interactive, action-conditioned environments built on symbolic representations and game engines over purely pixel-based generative models. This method focuses on causal reasoning, long-term consistency, and programmable rendering (via their 'Reverie' diffusion model) to create dynamic, multiplayer worlds, positioning itself as a platform for training embodied AI and revolutionizing game development.