25:03
Claude Fable 5.1 Is WAY Better Than You Think (Builds Anything)
Riley Brown uses Anthropic's Claude Fable 5.1 — released September 3rd and currently the top-ranked coding model — to build a fully f...
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20:11
Trying To Solve The Biggest AI Problem
Matt Wolfe set out to build a practical AI-generated video detector — a web tool where users paste a social media link and receive a...
50:49
Run a $10,000 AI Model at Home, Here’s How
David Ondrej interviews Ditro, co-founder and CTO of Fireworks AI, for a wide-ranging conversation on the state of open-source AI mod...
39:15
Inside the Race to Measure Frontier Intelligence
This a16z interview explores the growing market for independent AI evaluation, featuring the founder of Vows, a benchmarking company...
26:08
Why Astra Is the Most Significant and Confounding Model in a Very Long Time
The AI Daily Brief's host delivers one of the more measured early analyses of GPT-6 Astra, OpenAI's newest flagship model, framing it...
22:10
ChatGPT Image 2.5 Just Dropped — Here’s Everything That’s New
Bart Slodyczka runs a systematic hands-on review of ChatGPT Images 2.5, OpenAI's latest image generation and editing model, walking t...
12:00
I Plugged 3 More $20 ESP32s Into Claude Code
Mike from Creator Magic follows up his earlier ESP32 gadget series with three new hardware projects, all built using Claude Code as t...
11:01
The Universal Remote Control for AI — Alex Hancock, Block
Alex Hancock, software engineer at Block (parent of Cash App and Square) and a maintainer of the Model Context Protocol (MCP), takes...
03:25
Anthropic Worker Resigns, Warns of AI Risks to Humanity
Bloomberg Tech reports on the public resignation of Jacob Coxen, an AI researcher at Anthropic, who posted on X warning colleagues to...
01:14:23
Building Codex with Tibo Sottiaux
The Pragmatic Engineer's Gergely Orosz sits down with Tibo Sottiaux, who led OpenAI's Codex team from its inception and oversaw its e...
20:25
500 Skills, Zero Fine-Tuning: LinkedIn’s Playbook for AI Agents — Ajay Prakash, LinkedIn
Ajay Prakash, software engineer at LinkedIn, presents at AI Engineer how the company solved a fundamental problem: coding agents like...
44:25
Can AI help us better predict the weather?
In this episode of the Google DeepMind podcast, host Hannah Fry speaks with Peter Betaglia, senior director of research at Google Dee...
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...
06:08
I built the same game with Astra and Fable 5.1… only one was fun
Fireship's Jeff runs a direct head-to-head between OpenAI's newly released Astra (GPT-6) and Anthropic's Fable 5.1, framed against Nv...
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...
22:26
How long can your skills be before your agent forgets what you told it? — Laurie Voss, Arize AI
Laurie Voss, head of developer relations at Arize AI and co-founder of npm, presents original benchmark research at AI Engineer tackl...