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EA Forum Podcast (All audio)

“AI discourse analyzed (we looked at essays, Twitter, Bluesky, Truth Social)” by Matt Brooks, Nicholas Kees Dupuis

26 Nov 2025

Description

AI In Group Discourse I wanted to programmatically analyze the AI in-group ecosystem and discourse using AI as an exploration in sensemaking during my time in the “AI for Human Reasoning” FLF fellowship. I also analyzed the EA Forum itself in an earlier fellowship sensemaking MVP. Sidenote: I’m very interested in the potential for “AI uplift” to increase the impact of EA-aligned orgs by removing bottlenecks, automating flows, processing unstructured data, etc. I’ve founded a successful B2B SaaS company in the past and am now looking to pivot to high impact work using my skills. If you have ideas, questions, or may need some consulting / contracting work, please DM me. This first thing I I needed to do was find the high authority network of people talking about AI to find the relevant information and sources they posted / shared. I started with a hand picked seed of ~50 twitter accounts I considered firmly focused on high quality AI discourse and then used twitter following data to create an ever expanding following / authority / page-rank graph. I also used AI to analyze the past 1000 tweets for each account to score how relevant their profile was to [...] ---Outline:(00:14) AI In Group Discourse(02:39) en-US-AvaMultilingualNeural__ Leaderboard showing Top 41 AI Organizations - Authority Leaderboard with rankings and scores.(03:10) Worldview Clusters(08:35) en-US-AvaMultilingualNeural__ Chat interface discussing AI existential risk with doom scenario framing.(09:07) Popular domains(11:12) AI Trajectory Analysis(17:32) Bluesky vs Truth Social(18:02) Pipeline(19:44) Results --- First published: November 26th, 2025 Source: https://forum.effectivealtruism.org/posts/JxiEyRtaApvqAZ2cQ/ai-discourse-analyzed-we-looked-at-essays-twitter-bluesky --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

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