The Technically Library

Where are AI's productivity gains hiding? What kitted out Model Ts can teach us.

Should I ship something myself, or call in engineering help?

How the rise of open source AI models is fueling the growth of a new infrastructure category.

Applying the Ralph Wiggum loop to things other than writing code.

The profitable but challenging deployment model sweeping the nation.

Learn how AI detectors work

What are prediction markets and how much revenue is Kalshi really making?

And why is every startup around following the Palantir model?

On ethics, vibes and knowing what you're good at.

What actually goes on inside the buildings propping up the US economy.

Finally, an explanation for why AI models can't seem to quit them.

Enough surveys and corporate hand-waving. Let's answer the question by looking at usage data from an AI compute provider.

AI models seem to approximate the brain, intentionally or otherwise.

Comparing Replit, v0, Lovable and Bolt, in a bakeoff to decide who will be Vandalay Industries go-to vibe coding tool.

A look at the thin line between using AI smartly and writing your own pink slip.