Deep Dives - Frontier Models

There are 480 items in this page

19:36

Deep Dives3 months ago

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

Deep Dives3 months ago

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

Deep Dives3 months ago

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

Deep Dives3 months ago

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

Deep Dives3 months ago

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

Deep Dives3 months ago

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

Deep Dives3 months ago

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...

17:09

Deep Dives3 months ago

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

Deep Dives3 months ago

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

Deep Dives3 months ago

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

Deep Dives3 months ago

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...

20:43

Deep Dives3 months ago

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

Deep Dives3 months ago

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...

18:34

Deep Dives3 months ago

The maturity phases of running evals — Phil Hetzel, Braintrust

Phil Hetzel, head of solutions engineering at Braintrust, walks through the maturity phases teams go through as they build out evalua...

46:30

Deep Dives3 months ago

Inside YC’s AI Playbook

Y Combinator general partner Pete Kumman — founder of Optimizely and the architect of YC's internal AI infrastructure — joins YC's Ga...

10:21

Deep Dives4 months ago

What the Best Agents Share — Mardu Swanepoel, Flinn AI

Mardu Swanepoel of Flinn AI delivers a pattern analysis of what separates production-quality AI agents from mediocre ones, drawing on...