10:33
Will this Update from OpenAI Make AI Agents Work Better?
This episode of The AI Daily Brief takes a technical look at Anthropic's agent skills system and the growing signs that OpenAI is exp...
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16:32
The BIG Outage: The One System That Can Take Down Everything
Dave Plumber, a retired Microsoft software engineer whose career spans MS-DOS and Windows 95, challenges the widely held assumption t...
16:41
Code World Model: Building World Models for Computation – Jacob Kahn, FAIR Meta
Jacob Kahn, a researcher at Meta FAIR, presents the Code World Model (CWM)—a research project aimed at teaching AI systems to reason...
20:05
What I Tell Every CTO Before They Touch Claude Code or the Anthropic API
Nate B Jones addresses CTOs and engineering leads who are building production systems on Claude Code and the Anthropic API, arguing t...
18:08
Coding Evals: From Code Snippets to Codebases – Naman Jain, Cursor
Naman Jain, a researcher at Cursor, traces four years of progress in coding benchmark design at the AI Engineer conference — from eva...
08:07
The Sharpe Ratio Is Lying to You (Sharpe Optimization in Python)
The Algovibes channel walks through a Python-based critical examination of Sharpe ratio portfolio optimization — a technique widely u...
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...
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...
20:19
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...
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...
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...