20:09
Pinecone Just Demoted Vector Search. Here’s the Knowledge Layer.
Nate B Jones examines why major infrastructure vendors are racing to move beyond pure vector search, and what that means for develope...
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18:35
Lessons from Trillion Token Deployments at Fortune 500s — Alessandro Cappelli, Adaptive ML
Alessandro Cappelli, co-founder and Chief Customer Officer of Adaptive ML, delivers a conference talk at AI Engineer drawing on produ...
21:43
Every Level of Claude Explained in 21 Minutes
Nate Herk, who claims more than 400 hours of hands-on Claude experience, walks through a structured five-level skill progression for...
16:03
How a Senior Engineer Picks The Right Tools For an App
Corbin breaks down a three-pillar framework for choosing a production tech stack when building with AI coding assistants like Cursor,...
27:14
The New Jobs AI Will Create
The AI Daily Brief argues that the AI industry has committed a serious failure of imagination: it has produced exhaustive analyses of...
19:17
LLM Agents: The Security Breach Pattern Nobody’s Talking About
Nate B. Jones lays out a structural architectural pattern — the LLM-as-judge layer — designed to prevent AI agents from taking action...
10:11
You can’t just one shot it — Mehedi Hassan, Granola
Mehedi Hassan, a product engineer at Granola (an AI-powered meeting notes app), presents a candid account of what it actually takes t...
16:36
Two Roads to Durable Agents: Replay vs. Snapshot — Eric Allam, Trigger.dev
Eric Allam, co-founder of Trigger.dev, delivers a conference talk examining why the stateless \"shared nothing\" backend architecture...
22:26
Why TTS Models Now Look Like LLMs — Samuel Humeau, Mistral
Samuel Humeau, AI scientist at Mistral and former researcher at Facebook FAIR, delivers a technical talk at the AI Engineer conferenc...
27:13
You’re Wasting 40% Of Your AI Time On Something Fixable
Nate B. Jones of AI News & Strategy Daily delivers a structured breakdown of the full agentic AI scaffold — explaining what prompts,...
19:27
Voice AI: when is the “Her” moment? — Neil Zeghidour, Gradium AI
Neil Zeghidour, co-founder of Gradian AI and creator of Moshi (the first full-duplex speech-to-speech model), gives a technically gro...
27:43
Evaluating and improving Replit Agent at scale
Mikael Cata, president and head of AI at Replit, presents a detailed account of how his team evaluates and iteratively improves the R...
17:05
How Transformers Finally Ate Vision – Isaac Robinson, Roboflow
Isaac Robinson, research lead at Roboflow, presents a technical history of how Vision Transformers (ViTs) came to dominate computer v...
24:02
The thinking lever
Anthropic product manager Matt Bleifer delivers a detailed technical explanation of how Claude uses test-time compute — also called i...
14:37
Is This The Fastest ASR?
Sam Witteveen breaks down IBM's Granite Speech 4.1 release — a suite of three ~2-billion-parameter ASR models designed for edge deplo...
50:25
Everything You Need To Know About Agent Observability — Danny Gollapalli and Ben Hylak, Raindrop
Zuben (CEO) and Danny Gollapalli (backend engineer) from Raindrop present a structured breakdown of agent observability at the AI Eng...