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...
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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...
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...
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...
10:12
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)
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
This episode of The AI Daily Brief examines OpenAI's practical guide \"From Experiments to Deployments: A Practical Path to Scaling A...