YouTube Link: https://www.youtube.com/watch?v=41JBrC5e5tA David Hand, professor of statistics, reveals how ChatGPT lies with "dark data"; more generally, large language models and even peer review. Listen now early and ad-free on Patreon https://patreon.com/curtjaimungal. - Patreon: https://patreon.com/curtjaimungal (early access to ad-free audio episodes!) - Crypto: https://tinyurl.com/cryptoTOE - PayPal: https://tinyurl.com/paypalTOE - Twitter: https://twitter.com/TOEwithCurt - Discord Invite: https://discord.com/invite/kBcnfNVwqs - iTunes: https://podcasts.apple.com/ca/podcast... - Pandora: https://pdora.co/33b9lfP - Spotify: https://open.spotify.com/show/4gL14b9... - Subreddit r/TheoriesOfEverything: https://reddit.com/r/theoriesofeveryt... - TOE Merch: https://tinyurl.com/TOEmerch DAVID HAND'S BOOKS: - Dark Data: https://amzn.to/446Fou1 - The Improbability Principle: https://amzn.to/3DOn1iX TIMESTAMPS: 00:00:00 Introduction 00:01:34 What is Dark Data? (missing data matters more than what you have) 00:07:03 The perils of "changing definitions" 00:09:15 David on writing and his selective process 00:20:15 Theory-driven vs. data-driven models (& the constitution of LLMs) 00:32:08 The dilemma of partial truths 00:34:40 The "File Drawer Problem" & its adverse effects on clinical trials 00:39:09 Regression to the mean (how random variations lead to misleading conclusions) 00:44:12 Publication bias 00:48:03 Open-access models and their pitfalls 00:54:06 Why LLMs are simultaneously brilliant & stupid 01:03:40 David’s daily routine 01:06:24 The mean vs. median 01:11:07 Every type of "Dark Data" listed (watch this first!) Learn more about your ad choices. Visit megaphone.fm/adchoices

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