17:22
100 Years of Artificial Intelligence Explained
Nate Herk of the AI Automation channel presents a narrative-driven history of artificial intelligence spanning from Alan Turing's Wor...
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08:01
Cosmos 3 – NVIDIA’s World Foundation Model
Sam Witteveen covers the launch of NVIDIA Cosmos 3, announced at the GTC Taipei conference, describing it as a significant step forwa...
24:29
What if the network was the sandbox? — Remy Guercio, Tailscale
Remy Guercio, an engineer at Tailscale, proposes a fundamentally different model for sandboxing AI agents: moving authentication and...
19:36
20 days of compute vs 7 hours: rethinking what state-of-the-art means — Bertrand Charpentier, Pruna
Bertrand Charpentier, from the AI model optimization company Pruna, challenges the conventional shortcuts practitioners use to identi...
24:35
Engineering voice agents: Latency, quality, and scale — Rishabh Bhargava, Together AI
Rishabh Bhargava, who leads the voice AI team at Together AI and previously co-founded Refuel (acquired by Together), delivers a prac...
13:03
Spec-Driven Testing for Agents With A Brain the Size of A Planet — Steven Willmott, SafeIntelligence
Steven Willmott, CEO of SafeIntelligence, delivers a conference talk at AI Engineer on spec-driven testing for AI agents — arguing th...
10:40
Why (Senior) Engineers Struggle to Build AI Agents — Philipp Schmid, Google DeepMind
Philipp Schmid, who works on agents and the Gemini API at Google DeepMind, delivers a tight ten-minute conference talk explaining why...
10:50
How We Built Zeta2: Training an Edit Prediction Model in Production — Ben Kunkle, Zed
Ben Kunkle, edit predictions lead at Zed, delivers a detailed technical walkthrough of how the team trained Zeta2 — Zed's small, spec...
20:12
Why your agents need decision traces, not just documents — Zach Blumenfeld, Neo4j
Zach Blumenfeld, a research engineer at Neo4j, delivers a conference talk explaining why AI agents need more than a standard knowledg...
22:29
New Claude Opus 4.8: 15 Things You May’ve Missed
AI Explained host Philip Hodgen digs into Anthropic's 244-page system card for Claude Opus 4.8, distilling 15 findings drawn from a t...
20:43
How agent o11y differs from traditional o11y — Phil Hetzel, Braintrust
Phil Hetzel, head of solutions engineering at Braintrust, delivers a conference talk breaking down exactly why agent observability is...
20:35
Most Enterprise Agentic Projects Are Doomed, Here’s Why — Jess Grogan-Avignon & Jack Wang, Accenture
Jess Grogan-Avignon and Jack Wang from Accenture present a practitioner-focused talk at the AI Engineer conference, drawing on firsth...
17:09
Harness Engineering: What Separates Top Agentic Engineers Right Now
Cole Medin introduces and defines \"harness engineering\" — a term gaining traction in agentic AI circles — and breaks down what it a...
35:52
The acceleration is here!
Two papers published simultaneously in Nature mark a notable milestone for AI-driven scientific research: autonomous AI agent systems...
16:39
Context Graphs for Explainable, Decision-Aware AI Agents — Andreas Kollegger & Zaid Zaim, Neo4j
At the AI Engineer conference, Neo4j's Andreas Kollegger and Zaid Zaim present 'context graphs' — a framework for making AI agents no...
01:07:19
Inference, Diffusion, World Models, and More | YC Paper Club
Y Combinator's inaugural Paper Club brought together roughly 100 selected founders and researchers at Pioneer in Woodside, CA — drawi...