AI Engineer

Why you should care about AI interpretability - Mark Bissell, Goodfire AI

Information Retrieval from the Ground Up - Philipp Krenn, Elastic

Introduction to LLM serving with SGLang - Philip Kiely and Yineng Zhang, Baseten

Waymo's EMMA: Teaching Cars to Think - Jyh Jing Hwang, Waymo

Robotics: why now? - Quan Vuong and Jost Tobias Springberg, Physical Intelligence

Quan and Toby discuss their mission to create a universal robot control model, highlighting the limitations of current robotics in unstructured environments and the advancements made possible by AI and vision language action models (VLAs). They detail the engineering challenges in VLA training, particularly data sourci...

A2A & MCP Workshop: Automating Business Processes with LLMs — Damien Murphy, Bench

Damien Murphy presents a workshop on A2A and MCP, explaining how they can automate business processes using AI agents. He discusses the benefits of agent specialization, task delegation, and parallel processing with A2A, as well as the advantages of MCP as a standard interface for AI tools and context. He explains when...

Piloting agents in GitHub Copilot - Christopher Harrison, Microsoft

Ship Production Software in Minutes, Not Months — Eno Reyes, Factory

Beyond the Prototype: Using AI to Write High-Quality Code - Josh Albrecht, Imbue

Software Development Agents: What Works and What Doesn't - Robert Brennan, OpenHands

In this monologue podcast, Robert Brennan introduces himself as an open-source development tools builder and the creator of OpenHands, an open-source software development agent. He discusses the evolving landscape of software development, predicting a shift away from coding towards critical thinking and problem-solving...

Devin 2.0 and the Future of SWE - Scott Wu, Cognition

The speaker discusses the rapid advancements in AI agent capabilities for software engineering, drawing an analogy to Moore's Law. They reflect on the evolution of AI's role in coding tasks over the past 18 months, from simple tab completion to complex problem-solving. The talk outlines different tiers of AI capabiliti...

Your Coding Agent Just Got Cloned And Your Brain Isn't Ready - Rustin Banks, Google Jules

Latent Space Paper Club: AIEWF Special Edition (Test of Time, DeepSeek R1/V3) — VIbhu Sapra

In this podcast, Vibhu Sapra reviews the past year and a half of Paper Club, highlighting its consistent weekly sessions with authors from NVIDIA, Meta, and Amazon, averaging 100 attendees and reaching 300 for DeepSeek V3. He announces the launch of "Test of Time Paper Club," a curriculum-based V2 focused on foundation...

Human seeded Evals — Samuel Colvin, Pydantic

Building AI Products That Actually Work — Ben Hylak (Raindrop), Sid Bendre (Oleve)

Rise of the AI Architect — Clay Bavor, Cofounder, Sierra w/ Alessio Fanelli

Sierra bridges the gap between businesses seeking high-quality customer service and the prohibitive costs of human-led support by deploying branded AI agents. These agents, already serving millions of consumers for companies like SiriusXM and ADT, represent the next evolution beyond static websites and mobile apps. The...

AI That Pays: Lessons from Revenue Cycle — Nathan Wan, Ensemble Health

Structuring a modern AI team — Denys Linkov, Wisedocs

The Rise of Open Models in the Enterprise — Amir Haghighat, Baseten

Mentoring the Machine — Eric Hou, Augment Code