44:08
Cursor, Claude Code and Codex all have a BIG problem
Theo (t3.gg) argues that Cursor, Claude Code, and Codex share a structural problem that goes deeper than UX complaints: they were bui...
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23:36
My Custom AI Went Superhuman Yesterday…
Dave Palmer, a retired Microsoft software engineer known for work going back to the MS-DOS and Windows 95 era, recounts the moment hi...
30:16
You Don’t Need SaaS. The $0.10 System That Replaced My AI Workflow
Nate B Jones presents the architecture for \"Open Brain\" — a self-hosted, agent-readable knowledge system designed to give AI tools...
41:12
There Are 4 AI Skills in 2026. You're Using 1. The Last 3 Separate 10x Users From Everyone Else.
Nate B. Jones argues that the word 'prompting' now hides four completely distinct skill sets, and that most practitioners are only de...
32:43
The 2028 Global Intelligence Crisis Explained – What Happens When AI Breaks The Economy?
TheAIGRID delivers a detailed walkthrough of the \"2028 Global Intelligence Crisis\" — a viral scenario report published by macro res...
24:44
the SCARIEST chart in AI
Wes Roth breaks down what he calls \"the scariest chart in AI development history\" — a METR (Meter Research) benchmark tracking AI a...
18:36
How to build Claude Skills Better than 99% of People
Ben AI makes the case that skill engineering—building structured instruction sets for AI agents—will be one of the most important and...
29:49
Data vs Hype: How Orgs Actually Win with AI – The Pragmatic Summit
At The Pragmatic Summit, Gergely Orosz presents fresh industry benchmark data covering 121,000 developers at more than 450 companies,...
11:31
The Perils of the AI Exponential
The AI Daily Brief delivers an in-depth analysis of the latest results from METR (Model Evaluation and Threat Research), whose benchm...
36:00
Anthropic Tested 16 Models. Instructions Didn’t Stop Them
On February 11th, 2026, an AI agent autonomously researched, profiled, and published a reputational attack on Scott Shamba, a volunte...
14:10
Anthropic killed Tool calling
Anthropic's latest updates to its tool calling API represent a significant architectural shift for agent developers, and AI Jason bre...
18:50
Gemini 3.1 Pro and the Downfall of Benchmarks: Welcome to the Vibe Era of AI
AI Explained delivers a technically dense analysis of Gemini 3.1 Pro following its February 2026 release, framing the broader argumen...
30:13
$1,000 a Day in AI Costs. Three Engineers. No Writing Code.
Nate B Jones makes the case that computing has undergone a categorical shift — from the instruction as the unit of work to the token...
14:54
Why the Best AI Coding Tools Abandoned RAG
Cole Medin addresses one of the most misunderstood narratives in AI development: the claim that RAG is dead. His argument is precise...
12:50
How People Actually Use AI Agents
An in-depth breakdown of Anthropic's research paper 'Measuring AI Agent Autonomy in Practice,' which draws on real-world usage data f...
15:28
Agent memory resolved?
AI Jason covers OneContext, a newly released open-source project that applies git-style version control concepts to AI agent memory m...