11:45
Why AI Advantage Compounds
A data-driven argument that AI advantage in enterprise settings compounds—organizations that adopt AI more deeply don't merely pull a...
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01:02:07
AI Eats the World: Benedict Evans on the Next Platform Shift
Benedict Evans, veteran technology analyst and former Andreessen Horowitz partner, presents the core thesis of his widely circulated...
14:18
Hard Won Lessons from Building Effective AI Coding Agents – Nik Pash, Cline
Nik Pash, head of AI at Cline, delivers a frank reassessment of what actually moves the needle when building AI coding agents — and c...
21:55
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
Nate B. Jones distills NeurIPS 2025 — held across San Diego and Mexico City with tens of thousands of attendees — into six research t...
20:18
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...
18:30
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
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
OpenRouter and Andreessen Horowitz (a16z) released a landmark empirical study analyzing over 100 trillion tokens of real-world LLM in...
11:08
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
At the AI Dev 25 NYC conference, Nyah Macklin—senior engineer and developer advocate whose research spans graph theory, graph algorit...
13:36
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...
27:55
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
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
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
Robert Crowe, a product manager at Google with extensive AI experience, delivered a fast-paced technical overview of JAX at AI Dev 25...