19:48
Inside 847 Production Clinical AI Notes — Sebastian Fox, Composo
Sebastian Fox, a medical doctor and co-founder of Composo (an AI evaluation systems company for high-stakes domains), opens with a ca...
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52:35
Going In Deep On Data | YC Paper Club
Y Combinator's data club session opens with the founder of Focal Systems — a computer vision company building retail shelf-monitoring...
21:49
Guardrails First: Engineering Member-Facing Health AI — Rashi Agrawal, Hinge Health
Rashi Agrawal, who leads AI and ML at Hinge Health, delivers a practitioner's architecture talk at the AI Engineer conference on what...
16:55
Infra behind Krea 2: How to train and serve at scale — Gabriel Jorge Menezes, Krea.ai
Gabriel Jorge Menezes, infrastructure engineer at Krea.ai, gives a detailed technical account of training and serving Krea 2 (K2) — t...
01:03:26
Context Engineering in 2026 — Louis-François Bouchard, Omar Solano & Samridhi Vaid, Towards AI
Louis-François Bouchard, Omar Solano, and Samridhi Vaid from Towards AI present an 80-minute conference workshop on context engineeri...
17:28
Computer Use at the Edge of the Statistical Precipice — Pierluca D’Oro, Programma Labs
Pierluca D'Oro, founder of Programmabs and former researcher at Meta Superintelligent Labs, delivers a conference talk exposing funda...
05:53
This new startup can query anywhere you’ve been…
Fireship breaks down Flock Safety, the $8.4 billion AI-powered license plate surveillance startup that has deployed cameras across th...
18:26
Bringing agents onto the world wide web — Paul Klein IV, Browserbase
Paul Klein IV, founder of Browserbase, argues at AI Engineer that web agents are not being held back by model capabilities — models h...
22:20
The Rise of CaaS: Context-as-a-Service for Agentic AI — Omer Primor, Bright Data
Omer Primor, head of product marketing at Bright Data, uses an AI Engineer talk to introduce what he frames as a new infrastructure c...
04:51
What does AI actually know about you?
Produced by Anthropic and hosted by Zoe from the company's education team, this video addresses a question that sits at the center of...
19:03
Bringing Continual Learning into Enterprises — Samuel Denton, Applied Compute
Samuel Denton, who leads the platform research team at Applied Compute, presents a systematic framework for deploying continual learn...
20:51
Adaption Labs: Gradient-Free Continual Learning — Sara Hooker, Adaption
Sara Hooker, AI researcher with stints at DeepMind and multiple frontier labs and now leading Adaption, opens her AI Engineer talk wi...
23:57
Three OpenAI Engineers Shipped A Million Lines. Your Ten-Hour Agent Run Starts Here.
Nate B. Jones examines how the best engineering teams manage AI agent runs that stretch across 6, 8, or 10 hours and multiple session...
13:04
Memory Harnesses for Long-Running Research Agents — Stefania Druga, Sakana.ai
Stefania Druga, research scientist at Sakana AI in Tokyo, presents her work on memory harnesses designed to prevent context rot in lo...
19:43
Intelligence + Continual Learning = Expertise — Yu Su, NeoCognition
Yu Su, professor at The Ohio State University and COO of NeoCognition, opens with a deceptively simple question at the AI Engineer co...
16:57
Agents, codebases, and teams — Aditya Khandelwal, Amazon AGI Lab
At the AI Engineer conference, Aditya Khandelwal from Amazon AGI Lab delivers one of the more practically grounded talks on a problem...