AI videos, nothing else.

I Just Gave GPT-6 Astra Video Editing Skills (WILD Results)

Pat Simmons builds a reusable GPT-6 Astra skill for Premiere Pro, teaching and checking individual editing steps before attempting a longer edit and reporting its time and usage costs.

Why Scientific Taste Must Be Learned Through Practice - Edward Hughes

Edward Hughes argues that AI scientists need practice in rigorous experimentation and question formation, using paper replication as a step toward open-ended discovery.

Building ambitious software - Jonathan Kelley, Dioxus Labs & Cognition

Jonathan Kelley explains how Dioxus uses coding agents for technical research, integrations and release maintenance while retaining human responsibility for architecture, meaningful tests and code review.

Is Omarchy The Last Desktop You'll Ever Need?

Nate B Jones uses Omarchy to explain how AI agents can personalize desktop behavior through documented tools, narrow permissions and reversible changes on Linux, Mac and Windows.

We Now Have AGI: So What?

Brent A. Anders argues that current AI meets definitions of AGI, then makes the practical case for teaching AI literacy, verification and critical thinking without surrendering human judgment.

Fable Vs Astra Debate Is Over

Theo Browne favors Fable 5.1 for consistent, mergeable code and GPT-6 Astra for broader computer use and difficult investigations. His comparison reflects personal workflows, with unequal early-access testing conditions and substantial variation between tasks.

Greg Isenberg and Michael Shimeles on GPT-6 Astra Workflows

Greg Isenberg and Michael Shimeles explore how GPT-6 Astra can support software reviews, repeatable business workflows and the planning and code preparation for a physical AI device.

Vincent Wendy on AI-Assisted Conference Design

Vincent Wendy explains how reusable design foundations, automated asset workflows and human review help one designer manage many conference deliverables.

DeepSeek Just Matched Opus 5 for 15 Cents

Jack Roberts and Nick Saraev discuss reported DeepSeek V4.1 Flash benchmark results and off-peak input pricing, alongside model evaluation, offline AI and business adoption.

Generative UI... in Python? Jeremiah Lowin, Prefect

Jeremiah Lowin presents Prefab, a constrained Python interface-composition system for MCP apps. A JSON representation connects Python components to a React renderer and lets agents generate interfaces, while direct interaction can keep file transfers out of the model context.

Training Taste - Thais Castello Branco, Taste Labs

Thais Castello Branco argues that improving AI design requires measuring repetitive output, interpreting user intent and applying context-sensitive judgment at inference time.

Design at the Speed of Adjectives - Paul Bakaus, Renaissance Geek, Inc.

Paul Bakaus argues that effective AI-assisted design needs contextual commands and repeated human decisions, with design skills translating words such as bolder or quieter into concrete changes.

Claude Fable 5.1 Is WAY Better Than Everyone Thinks (Build Anything)

Riley Brown uses Claude Fable 5.1 to build a Trello-like dashboard, then tests database records, shared agent skills, human and agent comments, layout changes and deployment.

Astra vs Fable 5.1: Which AI Builds Better Websites?

Igor Pogany prefers GPT-6 Astra in 35 of 50 blind website comparisons with Fable 5.1, while finding similar functionality and different strengths by category.

AI just solved a million dollar math problem...

Matthew Berman discusses a claimed AI-generated Navier-Stokes proof, a contested account of research credit and private data, and the implications for AI-assisted discovery.

Can AI help us better predict the weather?

Hannah Fry explores how AI weather models learn global patterns, estimate uncertainty and improve storm forecasting while still facing limits in rare events and regional accuracy.

The Universal Remote Control for AI - Alex Hancock, Block

Alex Hancock presents Agent Client Protocol as a shared interface for controlling AI agents, using Goose demonstrations to show how different clients and local or remote transports can work with the same agent.

Anthropic's Alignment Lead Says AI Might Kill Us All

Stacked Podcast debates the implications of an Anthropic researcher's reported extinction-risk estimate, then discusses AlphaGenome Atlas and the practical limits of newer AI image-editing workflows.

MCP Apps: Give the Model Data, Give the User a UI - Dustin Mihalik, Indeed

Dustin Mihalik explains why MCP apps should expose displayed data and user interactions to the model, then separate data-processing tools from UI rendering so agents can explore and filter results before showing them.

How long can your skills be before your agent forgets what you told it? - Laurie Voss, Arize AI

Laurie Voss reports that newer models handle far more keyword constraints in an expanded IFScale test, but stresses that this proxy does not prove reliable reasoning over long, conflicting or reworded skills.