David Hand: Ai, Dark Data, LLMs, Peer Review | 質問の答えを募集中です! David Hand: Ai, Dark Data, LLMs, Peer Review | 質問の答えを募集中です!

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

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David Hand: Ai, Dark Data, LLMs, Peer Review
David Hand, professor of statistics, reveals how ChatGPT lies with “dark data”; more generally, large language models and even peer review.

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LINKS MENTIONED:
– Tim Maudlin Λ Tim Palmer on Interpretations of Quantum Mechanics: https://youtu.be/883R3JlZHXE

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!)



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