Who and What comprise AI Skepticism? (via) Benjamin Riley's response to Casey Newton's piece on The phony comforts of AI skepticism. Casey tried to categorize the field as "AI is fake and sucks" v.s. "AI is real and dangerous". Benjamin argues that this as a misleading over-simplification, instead proposing at least nine different groups.
I get listed as an example of the "Technical AI Skeptics" group, which sounds right to me based on this description:
What this group generally believes: The technical capabilities of AI are worth trying to understand, including their limitations. Also, it’s fun to find their deficiencies and highlight their weird output.
One layer of nuance deeper: Some of those I identify below might resist being called AI Skeptics because they are focused mainly on helping people understand how these tools work. But in my view, their efforts are helpful in fostering AI skepticism precisely because they help to demystify what’s happening “under the hood” without invoking broader political concerns (generally).
Recent articles
- Highlights from my appearance on the Data Renegades podcast with CL Kao and Dori Wilson - 26th November 2025
- Claude Opus 4.5, and why evaluating new LLMs is increasingly difficult - 24th November 2025
- sqlite-utils 4.0a1 has several (minor) backwards incompatible changes - 24th November 2025