Deep Dives - Frontier Models

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21:55

Moving away from Agile: What’s Next – Martin Harrysson & Natasha Maniar, McKinsey & Company

Deep Dives9 months ago

Moving away from Agile: What’s Next – Martin Harrysson & Natasha Maniar, McKinsey & Company

Martin Harrysson and Natasha Maniar from McKinsey's Software X practice present findings from a survey of approximately 300 enterpris...

10:41

NeurIPS 2025 in 12 Minutes: The 6 Shifts Most People Will Miss Until It's Too Late

Deep Dives9 months ago

NeurIPS 2025 in 12 Minutes: The 6 Shifts Most People Will Miss Until It's Too Late

Nate B. Jones distills NeurIPS 2025 — held across San Diego and Mexico City with tens of thousands of attendees — into six research t...

18:30

RL Environments at Scale – Will Brown, Prime Intellect

Deep Dives9 months ago

RL Environments at Scale – Will Brown, Prime Intellect

Will Brown of Prime Intellect reframes the challenge of scaling reinforcement learning—moving beyond raw compute to the accessibility...

20:19

Efficient Reinforcement Learning – Rhythm Garg & Linden Li, Applied Compute

Deep Dives9 months ago

Efficient Reinforcement Learning – Rhythm Garg & Linden Li, Applied Compute

Rhythm Garg and Linden Li, co-founders of Applied Compute and former OpenAI researchers, present a technical deep-dive into building...

11:22

What People Are Actually Using AI for Right Now

Deep Dives9 months ago

What People Are Actually Using AI for Right Now

OpenRouter and Andreessen Horowitz (a16z) released a landmark empirical study analyzing over 100 trillion tokens of real-world LLM in...

20:18

Grab the Inside Scoop on How Google, Anthropic, and Manus Built Long-Running AI Agents

Deep Dives9 months ago

Grab the Inside Scoop on How Google, Anthropic, and Manus Built Long-Running AI Agents

Nate B Jones delivers a technical deep dive into what he calls 'agentic context engineering' — the discipline of managing what inform...

13:36

Al Agents That Actually Work: The Pattern Anthropic Just Revealed

Deep Dives9 months ago

Al Agents That Actually Work: The Pattern Anthropic Just Revealed

Nate B. Jones breaks down a pattern Anthropic published for building reliable long-running AI coding agents, addressing what he ident...

11:08

n8n 2.0 is Here (What You Need to Know)

Deep Dives9 months ago

n8n 2.0 is Here (What You Need to Know)

n8n version 2.0 arrived in December 2025, and this deep-dive covers what practitioners actually need to know before upgrading — inclu...

21:52

AI Dev 25 x NYC | Nyah Macklin: How to Structure Context to Make Your Agents Smarter

Deep Dives9 months ago

AI Dev 25 x NYC | Nyah Macklin: How to Structure Context to Make Your Agents Smarter

At the AI Dev 25 NYC conference, Nyah Macklin—senior engineer and developer advocate whose research spans graph theory, graph algorit...

27:55

AI Dev 25 x NYC | Tyler Slaton: Build User Facing Agentic Applications with AG UI

Deep Dives9 months ago

AI Dev 25 x NYC | Tyler Slaton: Build User Facing Agentic Applications with AG UI

Tyler Slaton, founding engineer at CopilotKit, delivers a technical talk at AI Dev 25 in New York City covering the AG-UI (Agent User...

27:17

AI Dev 25 x NYC | Scott Yak: Building MCP Servers That Make Agents More Effective

Deep Dives9 months ago

AI Dev 25 x NYC | Scott Yak: Building MCP Servers That Make Agents More Effective

Scott Yak, an engineer at Datadog, used his AI Dev 25 NYC slot to make a counterintuitive argument: evals can become a source of joy...

29:29

AI Dev 25 x NYC | Samraj Moorjani: Accelerate High quality Agent Development with MLflow

Deep Dives9 months ago

AI Dev 25 x NYC | Samraj Moorjani: Accelerate High quality Agent Development with MLflow

Samraj Moorjani, a Databricks engineer with two years focused on MLflow and agent quality, opened his AI Dev 25 NYC talk with a point...

38:00

AI Dev 25 x NYC | Robert Crowe: JAX Made Simple: An Intuitive Guide to Building Fast Neural Networks

Deep Dives9 months ago

AI Dev 25 x NYC | Robert Crowe: JAX Made Simple: An Intuitive Guide to Building Fast Neural Networks

Robert Crowe, a product manager at Google with extensive AI experience, delivered a fast-paced technical overview of JAX at AI Dev 25...

10:12

Google’s New Breakthrough Brings AGI Even Closer – Titans and Miras

Deep Dives9 months ago

Google’s New Breakthrough Brings AGI Even Closer – Titans and Miras

Google published two research papers—Titans and Miras—targeting one of the most persistent limitations in large language models: the...

50:45

Why AI Moats Still Matter (And How They’ve Changed)

Deep Dives9 months ago

Why AI Moats Still Matter (And How They’ve Changed)

In this panel discussion from Andreessen Horowitz (a16z), partners examine whether traditional software competitive moats still hold...

22:09

A Practical Guide to Scaling AI

Deep Dives9 months ago

A Practical Guide to Scaling AI

This episode of The AI Daily Brief examines OpenAI's practical guide \"From Experiments to Deployments: A Practical Path to Scaling A...