Episode 87 - Only the Weather You'll Drive Into

You can trust the answers an AI gives you from data when you set it up to be trustworthy: give it the right data (read-only), give it the right tools, and make its choices obvious.

Episode 86 - Your Map Already Knows

Jaws and I build a small AI agent that answers everyday GIS questions from public City of Portland data.

Episode 85 - I have a Robot Cat (Kind Of)

Jaws designed a desk robot, I printed it and hot-glued it together, and it immediately drove off the table. Jaws fixed it in about 20 minutes, and then drove it.

Episode 84 - Are We Cooked?

These tools are amazing, and they're getting better faster than we're ready for. I think we need an independent regulator who can look inside the labs. I know that sounds crazy.

Episode 83 - Let's Eat, Grandma

I told an AI never to publish without me, but it was capable of publishing without me. I think you can see where this is going...

Episode 82 - Local Models for the win

Spiel v2 is a native Mac app that can transcribe speech by running a model locally on a MacBook's Neural Engine. It's fast, it's free, and a good reminder that I don't always need a frontier model!

Episode 81 - How on earth do AI watermarks work?

An AI watermark works by letting a secret function, not a random number generator, determine which word is selected from the words the model was already willing to say next.

Episode 80 - Two Types of Writing

There are two ways to write with AI: it drafts and you edit, or you draft and it edits. Each path leaves different “watermarks” on the result, so pick one on purpose.

Episode 79 - AI-Generated Metadata Philosophy

Metadata matters to search as much as it does to the AI Agent, so make it count!