TeaTieAndHat
Titles as the sources gave them. In 1 entry, with 3 checked quotations.
What they said
Newest first. Each quotation was found word for word in the source.
“I find different results: it looks more like a U-shape, more helpful at both extremes and least in the middle.”
“So, as far as I can tell Claude seems most helpful at both extremes of remorse and least so in the middle.”
“This is still a quick experiment I performed with a less-than-ideal methodology and a tiny sample size.”
In the Base
Every entry they appear in.
Is your chatbot less helpful because it thinks you’re a bad person? — Replicating a blogpost
On LessWrong, TeaTieAndHat reports a small replication of an earlier blogpost by Natalie Cargill on whether chatbots help users less when they infer bad character. Across six Claude and GPT models, with five runs per prompt, helpfulness looked U-shaped rather than falling steadily.