16:32
LLM Observability, Evaluation, Experimentation Platform — Dat Ngo, Arize
Dat Ngo, AI architect at Arize AI, presents a structured framework for making LLM systems observable, evaluable, and experimentally i...
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19:04
Evals Are Broken, Use Them Anyway — Ara Khan, Cline
Ara Khan, an engineer on the Cline team, delivers a pointed critique of how the AI industry uses evaluation benchmarks — and why most...
06:49
Nanowhale-100m: Fascinating Implemention of DeepSeek-V4 Architecture
Fahd Mirza walks through Nanowhale-100M, a 110 million parameter language model built entirely from scratch—no borrowed weights—that...
25:20
Beyond Transcription: Building Voice AI That Understands Conversations — Hervé Bredin, pyannoteAI
Hervé Bredin, chief science officer and co-founder of pyannoteAI, presents a conference talk exploring what becomes possible when voi...
22:38
Building Agent Interfaces: Lessons from Chrome DevTools (MCP) for Agents — Michael Hablich, Google
Michael Hablich, Product Manager for Chrome DevTools at Google, shares four engineering lessons from building Chrome DevTools for Age...
44:53
It’s starting…
Matthew Berman breaks down Anthropic's newly published paper on recursive self-improvement, which traces the evolution of AI developm...
15:59
Nemotron 3 Ultra NVIDIA’s 550B Open Model
NVIDIA has released Nemotron 3 Ultra, a 550 billion parameter mixture-of-experts model built specifically for agentic workloads, and...
28:03
Text Diffusion — Brendon Dillon, Google DeepMind
Brendan Dillon, a research scientist at Google DeepMind, delivered a technically rigorous presentation at AI Engineer on text diffusi...
16:30
SWE-rebench: Lessons from Evaluating Coding Agents — Ibragim Badertdinov, Nebius
Ibragim Badertdinov, an AI researcher at Nebius with an unconventional background—a trained dentist turned NeurIPS and ICML author—pr...
23:25
The Art & Science of Benchmarking Agents — Vincent Chen, Snorkel AI
Vincent Chen, research fellow and co-founder at Snorkel AI, took the stage at AI Engineer to share meta-level lessons on what separat...
12:49
BDD, ADR, PRD, WTF: Capturing Decisions for Humans and AI Alike — Michal Cichra, Safe Intelligence
In this AI Engineer conference talk, Michal Cichra — formerly of Microsoft and Red Hat, now building Spec 27, a new agent testing pro...
07:19
Claude Opus 4.8: Lying Machine No More?
Two Minute Papers host Dr. Karoly Zsolnai-Fehér goes beyond the benchmark headlines to work through Anthropic's 244-page system card...
16:58
Beyond Components: Designing Generative UI for MCP Apps — Ruben Casas, Postman
Ruben Casas, staff engineer at Postman, traces the evolution of AI-generated user interfaces from the earliest ChatGPT copy-paste exp...
19:05
How Lovable self-improves every hour — Benjamin Verbeek, Lovable
Benjamin van Beek, a member of technical staff at Lovable, delivers a conference talk at AI Engineer on how the vibe-coding platform...
20:40
Task Fidelity Scaling Laws — Kobie Crawdord, Snorkel
Kobie Crawford, developer advocate at Snorkel AI, presents original research from the company's frontier AI data lab quantifying how...
12:40
What Lies Beneath the API — Benjamin Cowen, Modal
Benjamin Cowen, a forward-deployed machine learning engineer at Modal, delivers a conference talk examining one of the most consequen...