Mia Kiraki’s article on associative thinking with AI reflects how I brainstorm with Perplexity. She’s thought a lot more about the topic than I have, though, and her writing is more fun to read.

Can you train yourself to have a more interesting mind with AI around?

Nico Neugebauer’s free Claude Code plugin, Heard, makes Claude read back what it thought you told it to do before it does anything, just like when the chef calls out an order in a professional kitchen.

FFO: Claude Code, The Bear, and the brigade system.

Michael Andrews has an interesting post about some of the credibility issues surrounding generative AI: phantom authorship, potential boobytraps, and countermeasures against them. A key insight is that most LLM knowledge isn’t from primary sources of facts, but rather from secondary sources’ simplified explanations of the primary sources. The latter are simply more numerous. So sometimes, a LLM’s knowledge lacks the depth you’d want.

If you’ve ever watched a television news report about something you’re an expert in, you already know how wary you should be of secondary sources.

Ghost-busting generative AI