20:36
Your LLM Stack Is a 2008 Database With Better Marketing — Lovina Dmello, NVIDIA
Lavina D'Mello, a senior software developer on NVIDIA's deep learning infrastructure team, makes the case at AI Engineer that the mos...
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25:38
Why Your Agent Disagrees With Itself (And What To Do About It) – Diane Lin, Datadog
Datadog AI lead Diane Huang Lin — formerly of Alexa, Vicarious (now Google DeepMind), and Zscaler — presents a systematic treatment o...
16:57
From Tokens to Cells: Foundation Models for Single-Cell Biology – Akram Baharlouei, Altos Labs
In this AI Engineer conference talk, Akram Baharlouei, a machine learning engineer at Altos Labs, explores the engineering challenges...
12:50
You Didn’t Ship a Bug. You Just Wrote It for a Human. – Ravi Madabhushi, Scalekit
Ravi Madabhushi, co-founder of Scalekit, delivers a technical talk at AI Engineer examining how authentication and authorization syst...
22:46
From Blind Spots to Merged PRs: Continuous Agentic Performance Optimization – May Walter, Hud
Mike, co-founder and CTO of Thundra, presents at AI Engineer on an agentic workflow that automates continuous performance optimizatio...
37:45
Build Evals That Actually Matter – Nick Ung, Lyft
Nick Ung and Aka from Lyft's data science team present their end-to-end evaluation framework for production AI agents at the AI Engin...
35:59
The UX of AI: Making AI-Powered Apps Your Users Don’t Hate – Kathryn Grayson Nanz, Progress Software
Kathryn Grayson Nanz, senior design and developer advocate at Progress Software, delivers a talk at the AI Engineer conference on the...
19:23
Autonomous Agents for Scientific Tasks – Sina Shahandeh, Radicait
In this AI Engineer conference talk, Sina Shahandeh of Radicait examines why autonomous coding agents stall on open-ended scientific...
17:39
Stop Burning Tokens: Why self-improvement needs domain expertise first – Annabell Schäfer, Langfuse
Annabell Schäfer, growth engineer at Langfuse — the open-source AI observability and evaluation platform — presents a structured expe...
14:18
A Practitioner’s Guide to Graphs – Tim Ainge, Good Collective
Tim Ainge of The Good Collective delivers a practitioner-focused guide to graph data structures for AI application developers at the...
01:14:27
The Key Thing Human Brains Have That AI Is Trying To Learn
This Y Combinator conversation tackles one of AI's most fundamental open problems: sample efficiency, or why humans can master a new...
16:24
This Completely Changes the Way We Build Production AI Agents (Vercel Eve)
Cole Medin examines Eve, a new open-source AI agent framework released by Vercel that introduces a file-system-first architecture for...
03:55
The Dangerous Illusion of AI Coding Skills
Two Minute Papers host Dr. Károly Zsolnai-Fehér examines a controlled study that tested whether AI coding assistants make developers...
15:51
Every Prompt You Send Drags 18,384 Words Of Junk. Here’s How I Cut It.
Nate B. Jones of AI News & Strategy Daily addresses a problem familiar to heavy AI users: "harness bloat," where months of accumu...
06:09
Claude’s Brain Has A Secret… And Scientists Found It
Two Minute Papers host Dr. Károly Zsolnai-Fehér covers a research paper revealing how Claude and similar large language models sponta...
15:19
Why I switched to Pi…
AI Jason makes the case for Pi Agent as the most customizable coding agent available today, explaining why it became the foundation f...