Molly Crockett (@mjcrockett.bsky.social)
Thread on how Twitter amplifies perceptions of outrage
Ethan Mollick on Twitter
A paper that really illustrates both the unexpected power, and unexpected risks, that come from LLMs.Given text of anonymous posts on Reddit, GPT-4 can infer things like income, gender & location with 85%+ accuracy at 1% of the cost required by humans. https://t.co/qcrodZsgUQ pic.twitter.com/at8NfwLxjr— Ethan Mollick (@emollick) October 20, 2023
Crémieux on Twitter
This is a pretty large effect!TL;DR: People whose work is graded later tend to be graded more harshly.If your grading order is alphabetical, that'll unduly penalize people with alphabetically-later surnames. https://t.co/Af7prAV7rx— Crémieux (@cremieuxrecueil) October 16, 2023
Scott Santens on Twitter
Sources:1. https://t.co/4x5lVCIwZ42. https://t.co/Bc4oFxTnd03. https://t.co/tabNU56LEc4. https://t.co/0qk93bEv0S5. https://t.co/yRh517CHbe6. https://t.co/m17g7VWvhI7. https://t.co/xtnR3PAXKM8. https://t.co/9P9aZCNWx79. https://t.co/Kce9FEWDiO#BasicIncome pic.twitter.com/zBpqVZOw3K— Scott Santens (@scottsantens) April 12, 2023