David Hand: Ai, Dark Data, LLMs, Peer Review

YouTube Link: https://www.youtube.com/watch?v=41JBrC5e5tADavid 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/TOEmerchDAVID HAND'S BOOKS:- Dark Data: https://amzn.to/446Fou1- The Improbability Principle: https://amzn.to/3DOn1iXTIMESTAMPS:00:00:00 Introduction00:01:34 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 process00:20:15 Theory-driven vs. data-driven models (& the constitution of LLMs)00:32:08 The dilemma of partial truths00:34:40 The "File Drawer Problem" & its adverse effects on clinical trials00:39:09 Regression to the mean (how random variations lead to misleading conclusions)00:44:12 Publication bias00:48:03 Open-access models and their pitfalls00:54:06 Why LLMs are simultaneously brilliant & stupid 01:03:40 David’s daily routine01:06:24 The mean vs. median01:11:07 Every type of "Dark Data" listed (watch this first!)