OpenAI GPT-5.6 Luna, Terra, and Sol look like a sensible tiered lineup. Benchmark evidence suggests choosing by the cost of finished work instead.

QM starts with a different agent question: how can a group share useful context and capabilities without erasing boundaries between people and rooms?

Anthropic’s second Claude shared-chat search exposure in 322 days shows why “anyone with the link” is not a privacy boundary.

I make the case for an American Stewardship Fund: a durable public inheritance built from some of the prosperity created by the AI boom.

A civic AI concierge can help Ralwegians find public police and fire information, but its real job is explaining the limits of what those records can say.

Cyberpunk is more than neon: build imaginary worlds through repair, access, and the people making difficult choices inside systems.

The life-coach Agent Skill helps you examine hard decisions, map ambivalence, and test goals, and refuses to pretend it’s something it isn’t.

The Raleigh Agent Skill helps residents find useful answers about buses, permits, and parks without first learning where the city keeps everything.

Ponytail made my AI agent terser. Neckbeard makes it prove its work. Why I ditched the viral coding skill for one designed to catch mistakes, verify at the real boundary, and say what it couldn’t check. The architecture, authority gates, and evaluation suite inside.

A practical method for earning AI autonomy by finding workflow bottlenecks, strengthening adjacent capabilities, and expanding only with evidence.

Postmortems matter when their lessons survive the meeting and constrain the next release, without turning blameless learning into automated blame.

Andrej Karpathy predicted a small AI model that would trade encyclopedic knowledge for raw reasoning. Just over a year later, it is a product category, and it changes everything about how we should think about AI infrastructure.