Mike Caulfield

Why follow

Researcher with public evidence across AI research.

AI signals
6
past 30d
Sources
4
distinct domains
Discussions
8
past 30d
Latest signal
1d ago
View every signal from Mike Caulfield →
Author: Verified: How to Think Straight, Get Duped Less, and Make Better Decisions about What to Believe Online (University of Chicago Press). Researcher, infolit/misinfo/rhetoric/civic reasoning. Currently researching AI as tool for critical thinking.

Articles & links

Claude created a mess with a dumb way it tends to write prompts. I wrote a blog post about this failure mode, but that still left me with a massive mess to tidy up. Then I came up with an idea: have Fable read my post & fix the issue. It fucking worked. mikecaulfield.substack.…

Blog Posts as LLM Repair Code mikecaulfield.substack.com
View on Bluesky · ♥ 18 ↻ 2 ↩ 2 · 1d ago

These are short teachable habits and if we spent a fraction of the time we spend yelling at one another about the latest Futurism post actually teaching students how to use AI like this the world would be a better place. More on four habits of prompting here open.substack.com/…

Four Tips for Better Prompting mikecaulfield.substack.com
View on Bluesky · ♥ 13 ↻ 3 ↩ 1 · 16d ago

I did a bit of Fable (and Opus) assisted research on a difference I noticed in how Fable makes decisions on tagging data. The upshot is that Fable seems to treat "certainty" thresholds differently but predictably. This is an AI report here, but could be useful to some claude.a…

Claude Artifact claude.ai
View on Bluesky · ♥ 3 ↻ 0 ↩ 1 · 17d ago

Recent commentary

The fact that AI models still can't deal with the conflation problem of film facts is a bit frustrating. No, the Agatha Christie film Endless Night, which has in it the actress who plays Miss Moneypenny in the Bond films, is not a Bond film, a fact easily verifiable against IMDB, Wikidata, etc.

View on Bluesky · ♥ 30 ↻ 6 ↩ 4 · 47d ago

In fairness the reason people think hallucinations are still the core problem of AI is hallucinations are absolutely still a problem in the *free* models. This one about Soderbergh's noir The Underneath is wild.

View on Bluesky · ♥ 16 ↻ 2 ↩ 1 · 16d ago

these facts appeared in an AI summary and I thought, come on

View on Bluesky · ♥ 0 ↻ 0 ↩ 4 · 10d ago

In Mike Caulfield's orbit

Center = Mike Caulfield. Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.