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...
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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...
42:15
The 5 Levels of AI Coding (Why Most Won’t Make It Past Level 2)
Nate B Jones builds an extended analysis around the \"five levels of AI coding\" framework published by Glowforge CEO Dan Shapiro in...
11:50
Qwen 3.5 – The next NEXT model
Sam Witteveen breaks down Qwen 3.5, the latest flagship from Alibaba's Qwen team, a 397-billion-parameter mixture-of-experts model wi...
55:49
What If Intelligence Didn’t Evolve? It “Was There” From the Start! – Blaise Agüera y Arcas
Blaise Agüera y Arcas — researcher and author of the companion volumes \"What is Life\" and \"What is Intelligence\" — delivers a den...
11:24
WebMCP – Why is awesome & How to use it
AI Jason breaks down WebMCP, a concept released by Google's Chrome team that allows AI agents to interact with websites through deter...
12:05
The Next Tech Dawn: Quantum Computing & Real-World Applications
A Bloomberg Technology roundtable brings together three CEOs from leading European quantum computing companies to assess where the te...
12:14
Claude Cowork Plugins Explained (& How to use them)
Ben AI examines Claude Co-work Plugins, a feature from Anthropic that packages skills, tools, and software connectors into department...
09:32
Anthropic Found Out Why AIs Go Insane
Two Minute Papers host Dr. Károly Zsolnai-Fehér covers a significant Anthropic research paper explaining why AI assistants drift from...
11:56
Why AI Leads to More Work, Not Less
A new study from Berkeley and Harvard Business School researchers Aruna Rananthan and Shingchi Maggi challenges one of the central na...
22:15
Did Anthropic Accidentally Create a Conscious AI?
TheAIGRID digs into Anthropic's 216-page system card for Claude Opus 4.6, surfacing 11 findings that raise substantive questions abou...
27:02
⚡️ Reverse Engineering OpenAI’s Training Data — Pratyush Maini, Datology
Pratyush Maini, a CMU PhD candidate and founding team member at Datology, joins the Latent Space Lightning Pod to discuss original re...
26:15
Why the Smartest AI Teams Are Panic-Buying Compute
Nate B Jones presents a systematic analysis of what he frames as a structural crisis in AI compute infrastructure: global enterprise...
09:39
How to install and use Claude Code Agent Teams (Reverse-engineered)
Claude Code version 2.1.34 shipped an experimental Agent Teams feature that goes well beyond the existing sub-agent capability — and...