10:49
Managed Agents – Don’t Get Locked In
Sam Witteveen provides a comprehensive breakdown of the managed agents landscape, tracing how Anthropic, Google, AWS, Microsoft, Lang...
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27:17
The AI Language We Can’t Read: Neuralese ft. Rob Miles – Computerphile
Computerphile host Brady Haran sits down with AI safety researcher Rob Miles to unpack one of the most pressing interpretability conc...
15:06
Training Taste — Thais Castello Branco, Taste Labs
Thais Castello Branco, founder of Taste Labs (recently out of stealth), presents research-backed approaches to quantifying and elimin...
20:26
Build-Time vs. Run-Time: Why Dev Tools Fail in Production — Averi Kitsch & Prerna Kakkar, Google
Google staff engineers Avery Kitsch (technical lead for MCP Toolbox for Databases) and Prerna Kakkar (tech lead for Eval Bench) prese...
14:09
Your agents lack context: Here’s how to fix “You’re absolutely right!” — Brandon Waselnuk, Unblocked
Brandon Waselnuk, co-founder of Unblocked, takes the stage at AI Engineer to explain why enterprise coding agents consistently underp...
20:48
It’s Tokens All The Way Down: How RLMs are Different — Kevin Madura, AlixPartners
Kevin Madura of consulting firm AlixPartners introduces Recursive Language Models (RLMs) to an AI Engineer audience, explaining how t...
15:34
MCP Apps: Give the Model Data, Give the User a UI — Dustin Mihalik, Indeed
At an AI Engineer conference, Dustin Mihalik from Indeed shares production lessons from building MCP (Model Context Protocol) apps fo...
01:28:12
Deep dive on LLM Inference at Scale — Harshul Jain, Audible & Tanmay Sah, Independent AI Researcher
Harshul Jain, senior software engineer at Audible and author of an open-source LLM inference handbook, teams up with AI researcher Ta...
08:13
Extropic Z1T: AI Models 100x More Energy Efficient Than GPUs?
Fahd Mirza examines Extropic, a hardware startup betting that probabilistic computing can dramatically reduce the energy cost of runn...
53:11
Agentic Loops for Knowledge Workers
The AI Daily Brief hosts a webinar with Newfar Gaspar introducing "loop engineering" — a framework for adapting the agentic, goal-dir...
29:05
GPT 6 Astra, so good even OpenAI are worried
AI Explained delivers a thorough analysis of GPT-6 Astra, OpenAI's latest frontier model, examining why it's generating both exciteme...
20:42
From coding to Knowledge work agents — Karan Vaidya, Composio
Karan Vaidya, co-founder and CTO of Composio, opens with a pointed observation: despite massive model improvements, autonomous agenti...
26:25
Your company brain will leak secrets: how we stopped it for big banks — Tanmai Gopal, PromptQL
Tanmai Gopal, co-founder of PromptQL and creator of the widely-used Hasura GraphQL engine, addresses one of enterprise AI's most pres...
21:17
Agents’ next frontier: agent-to-agent and network effects — Jean-Denis Greze, Town
Jean-Denis Greze, CTO of Town and former seven-year CTO at Plaid, argues that multi-agent AI architectures are fundamentally a search...
21:10
Tethered: Our Agents Are Us — Shu Fang, Two Sigma
At the AI Engineer conference, Shu Fang from Two Sigma — a 25-year-old quantitative hedge fund — presented how the firm built a syste...
04:55
Claude Fable AI Is Much Stranger Than The Headlines Suggest
Dr. Károly Zsolnai-Fehér of Two Minute Papers works through the 200-page technical report accompanying Claude Fable 5.1, explicitly s...