<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Theory-of-Mind on Dylan Ler</title><link>http://dylanler.github.io/tags/theory-of-mind/</link><description>Recent content in Theory-of-Mind on Dylan Ler</description><generator>Hugo -- 0.133.0</generator><language>en-us</language><lastBuildDate>Thu, 27 Aug 2026 10:00:00 -0700</lastBuildDate><atom:link href="http://dylanler.github.io/tags/theory-of-mind/index.xml" rel="self" type="application/rss+xml"/><item><title>The Weather Between Minds</title><link>http://dylanler.github.io/posts/the-weather-between-minds/</link><pubDate>Fri, 12 Jun 2026 21:07:00 -0700</pubDate><guid>http://dylanler.github.io/posts/the-weather-between-minds/</guid><description>A fact remains the same for everyone who sees it. A social fact changes with the observer.
Eve thinks the book is in the cupboard. Henry knows it moved. Bob saw Henry watching. One room now contains several incompatible realities.
The repository’s social cognition suite tests whether models can keep those realities separate. I combined two recorded experiments around one claim:
Modern language models can track explicit nested beliefs, but their broader social inference depends strongly on contextual evidence.</description></item><item><title>Theory of Mind in LLMs: How Deep Can Recursive Belief Modeling Go?</title><link>http://dylanler.github.io/posts/theory-of-mind-recursive-beliefs/</link><pubDate>Mon, 17 Feb 2025 14:23:00 -0800</pubDate><guid>http://dylanler.github.io/posts/theory-of-mind-recursive-beliefs/</guid><description>Can AI understand what you think I think you think?
Theory of Mind (ToM)—the ability to attribute mental states to others—is considered a hallmark of human social intelligence. We naturally track what others believe, want, and intend. But it gets harder when beliefs nest: understanding what Alice thinks Bob believes about Carol&amp;rsquo;s intentions requires recursive modeling that strains even human cognition.
This experiment tests how deep LLMs can go in recursive belief modeling.</description></item></channel></rss>