- See Also
-
Links
- “Teachers Are Going All In on Generative AI: Surveys Suggest Teachers Use Generative AI More Than Students, to Create Lesson Plans or More Interesting Word Problems. Educators Say It Can save Valuable Time but Must Be Used Carefully”, Johnson 2023
- “Nenex: A Neural Personal Wiki Idea”, Gwern 2023
- “SeeGULL: A Stereotype Benchmark With Broad Geo-Cultural Coverage Leveraging Generative Models”, Jha et al 2023
- “AI Is Taking the Jobs of Kenyans Who Write Essays for U.S. College Students: Ghostwriters Say the Meteoric Rise of ChatGPT Has Coincided With a Drop in Income”, Siele 2023
- “Generative AI: Impact on Email Cyber-Attacks”, DarkTrace 2023
- “Do Large Language Models Understand Chemistry? A Conversation With ChatGPT”, Nascimento & Pimentel 2023
- “Predicting Consumer Contracts [With GPT-3]”, Kolt 2023
- “Artificial Intelligence Can Persuade Humans on Political Issues”, Bai et al 2023
- “A Judge Just Used ChatGPT to Make a Court Decision: The Case Is the First Time a Court Has Admitted to Using the AI Text Generator’s Answers in a Legal Ruling”, Rose 2023
- “Large Language Models As Fiduciaries: A Case Study Toward Robustly Communicating With Artificial Intelligence Through Legal Standards”, Nay 2023
- “ChatGPT Goes to Law School”, Choi et al 2023
- “Putting ChatGPT’s Medical Advice to the (Turing) Test”, Nov et al 2023
- “Is ChatGPT A Good Translator? A Preliminary Study”, Jiao et al 2023
- “How Close Is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection”, Guo et al 2023
- “Can GPT-3 Produce New Ideas? Partially Automating Robin Hanson and Others § If You Never Miss a Plane…”, Sempere 2023
- “AI Insights into Theoretical Physics and the Swampland Program: A Journey Through the Cosmos With ChatGPT”, Lehnert 2023
-
“
#ReceptioGateand the (absolute) State of Academia: The Numbers Game Has Incentivized Bad Behavior”, Gauthier 2023 - “How Does ChatGPT Perform on the United States Medical Licensing Examination? The Implications of Large Language Models for Medical Education and Knowledge Assessment”, Gilson et al 2023
- “Comparing Scientific Abstracts Generated by ChatGPT to Original Abstracts Using an Artificial Intelligence Output Detector, Plagiarism Detector, and Blinded Human Reviewers”, Gao et al 2022
- “Performance of ChatGPT on USMLE: Potential for AI-Assisted Medical Education Using Large Language Models”, Kung et al 2022
- “Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing”, Liu et al 2022
- “Scaling Laws for Reward Model Overoptimization”, Gao et al 2022
- “How Persuasive Is AI-generated Argumentation? An Analysis of the Quality of an Argumentative Text Produced by the GPT-3 AI Text Generator”, Hinton & Wagemans 2022
- “Can Large Language Models Reason about Medical Questions?”, Liévin et al 2022
- “Forecasting Future World Events With Neural Networks”, Zou et al 2022
- “Can GPT-3 Write an Academic Paper on Itself, With Minimal Human Input?”, GPT-3 et al 2022 (page 2)
- “Teaching Models to Express Their Uncertainty in Words”, Lin et al 2022
- “On Form versus Meaning”, Aaronson & GPT-3 2022
- “How to Cheat on Your Final Paper: Assigning AI for Student Writing”, Fyfe 2022
- “Fake Journal Club: Teaching Critical Reading”, Gwern 2022
- “Formal Mathematics Statement Curriculum Learning”, Polu et al 2022
- “Why Computers Don’t Need to Match Human Intelligence: With Continuing Advances in Machine Learning, It Makes Less and Less Sense to Compare AI to the Human Mind”, Lee 2021
- “Spinning Language Models for Propaganda-As-A-Service”, Bagdasaryan & Shmatikov 2021
- “MiniF2F: a Cross-system Benchmark for Formal Olympiad-level Mathematics”, Zheng et al 2021
- “GPT-3 vs Water Cooler Trivia Participants: A Human vs Robot Showdown”, Waldoch 2021
- “All the News That’s Fit to Fabricate: AI-Generated Text As a Tool of Media Misinformation”, Kreps et al 2020
- “The Radicalization Risks of GPT-3 and Advanced Neural Language Models”, McGuffie & Newhouse 2020
- “Gary Marcus Has Co-authored a Brief Critique of GPT-3”, Nostalgebraist 2020
- “Experiments Testing GPT-3's Ability at Commonsense Reasoning: Results”, Marcus & Davis 2020
- “I Found That Getting GPT-3 to Add Its Own "internal Monologue" in Parentheses to Be a Helpful Strategy…”, blixt 2020
- “GPT-3 Nonfiction”, Gwern 2020
- “Update: Upgrading to 1.5B GPT-2, and Adding 22 New Subreddit-bots”, disumbrationist 2020
- “OTEANN: Estimating the Transparency of Orthographies With an Artificial Neural Network”, Marjou 2019
- “Deepfake Bot Submissions to Federal Public Comment Websites Cannot Be Distinguished from Human Submissions”, Weiss 2019
- “Testing The Limits of GROVER The Neural Fake News Detector. Can It Write Fiction? Can It Write Riddles?”, Fly 2019
- “Sort By Controversial”, Alexander 2018
- “Evaluating Prose Style Transfer With the Bible”, Carlson et al 2017
- lawderpaul
- Sort By Magic
- Miscellaneous
- Link Bibliography
See Also
Links
“Teachers Are Going All In on Generative AI: Surveys Suggest Teachers Use Generative AI More Than Students, to Create Lesson Plans or More Interesting Word Problems. Educators Say It Can save Valuable Time but Must Be Used Carefully”, Johnson 2023
“Nenex: A Neural Personal Wiki Idea”, Gwern 2023
“SeeGULL: A Stereotype Benchmark With Broad Geo-Cultural Coverage Leveraging Generative Models”, Jha et al 2023
“SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models”
“AI Is Taking the Jobs of Kenyans Who Write Essays for U.S. College Students: Ghostwriters Say the Meteoric Rise of ChatGPT Has Coincided With a Drop in Income”, Siele 2023
“Generative AI: Impact on Email Cyber-Attacks”, DarkTrace 2023
“Do Large Language Models Understand Chemistry? A Conversation With ChatGPT”, Nascimento & Pimentel 2023
“Do Large Language Models Understand Chemistry? A Conversation with ChatGPT”
“Predicting Consumer Contracts [With GPT-3]”, Kolt 2023
“Artificial Intelligence Can Persuade Humans on Political Issues”, Bai et al 2023
“Artificial Intelligence Can Persuade Humans on Political Issues”
“A Judge Just Used ChatGPT to Make a Court Decision: The Case Is the First Time a Court Has Admitted to Using the AI Text Generator’s Answers in a Legal Ruling”, Rose 2023
“Large Language Models As Fiduciaries: A Case Study Toward Robustly Communicating With Artificial Intelligence Through Legal Standards”, Nay 2023
“ChatGPT Goes to Law School”, Choi et al 2023
“Putting ChatGPT’s Medical Advice to the (Turing) Test”, Nov et al 2023
“Is ChatGPT A Good Translator? A Preliminary Study”, Jiao et al 2023
“How Close Is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection”, Guo et al 2023
“How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection”
“Can GPT-3 Produce New Ideas? Partially Automating Robin Hanson and Others § If You Never Miss a Plane…”, Sempere 2023
“AI Insights into Theoretical Physics and the Swampland Program: A Journey Through the Cosmos With ChatGPT”, Lehnert 2023
“#ReceptioGate and the (absolute) State of Academia: The Numbers Game Has Incentivized Bad Behavior”, Gauthier 2023
“#ReceptioGate and the (absolute) state of academia: The numbers game has incentivized bad behavior”
“How Does ChatGPT Perform on the United States Medical Licensing Examination? The Implications of Large Language Models for Medical Education and Knowledge Assessment”, Gilson et al 2023
“Comparing Scientific Abstracts Generated by ChatGPT to Original Abstracts Using an Artificial Intelligence Output Detector, Plagiarism Detector, and Blinded Human Reviewers”, Gao et al 2022
“Performance of ChatGPT on USMLE: Potential for AI-Assisted Medical Education Using Large Language Models”, Kung et al 2022
“Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing”, Liu et al 2022
“Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing”
“Scaling Laws for Reward Model Overoptimization”, Gao et al 2022
“How Persuasive Is AI-generated Argumentation? An Analysis of the Quality of an Argumentative Text Produced by the GPT-3 AI Text Generator”, Hinton & Wagemans 2022
“Can Large Language Models Reason about Medical Questions?”, Liévin et al 2022
“Forecasting Future World Events With Neural Networks”, Zou et al 2022
“Can GPT-3 Write an Academic Paper on Itself, With Minimal Human Input?”, GPT-3 et al 2022 (page 2)
“Can GPT-3 write an academic paper on itself, with minimal human input?”
“Teaching Models to Express Their Uncertainty in Words”, Lin et al 2022
“On Form versus Meaning”, Aaronson & GPT-3 2022
“How to Cheat on Your Final Paper: Assigning AI for Student Writing”, Fyfe 2022
“How to cheat on your final paper: Assigning AI for student writing”
“Fake Journal Club: Teaching Critical Reading”, Gwern 2022
“Formal Mathematics Statement Curriculum Learning”, Polu et al 2022
“Why Computers Don’t Need to Match Human Intelligence: With Continuing Advances in Machine Learning, It Makes Less and Less Sense to Compare AI to the Human Mind”, Lee 2021
“Spinning Language Models for Propaganda-As-A-Service”, Bagdasaryan & Shmatikov 2021
“MiniF2F: a Cross-system Benchmark for Formal Olympiad-level Mathematics”, Zheng et al 2021
“MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics”
“GPT-3 vs Water Cooler Trivia Participants: A Human vs Robot Showdown”, Waldoch 2021
“GPT-3 vs Water Cooler Trivia participants: A Human vs Robot Showdown”
“All the News That’s Fit to Fabricate: AI-Generated Text As a Tool of Media Misinformation”, Kreps et al 2020
“All the News That’s Fit to Fabricate: AI-Generated Text as a Tool of Media Misinformation”
“The Radicalization Risks of GPT-3 and Advanced Neural Language Models”, McGuffie & Newhouse 2020
“The Radicalization Risks of GPT-3 and Advanced Neural Language Models”
“Gary Marcus Has Co-authored a Brief Critique of GPT-3”, Nostalgebraist 2020
“Experiments Testing GPT-3's Ability at Commonsense Reasoning: Results”, Marcus & Davis 2020
“Experiments testing GPT-3's ability at commonsense reasoning: results”
“I Found That Getting GPT-3 to Add Its Own "internal Monologue" in Parentheses to Be a Helpful Strategy…”, blixt 2020
“GPT-3 Nonfiction”, Gwern 2020
“Update: Upgrading to 1.5B GPT-2, and Adding 22 New Subreddit-bots”, disumbrationist 2020
“Update: Upgrading to 1.5B GPT-2, and adding 22 new subreddit-bots”
“OTEANN: Estimating the Transparency of Orthographies With an Artificial Neural Network”, Marjou 2019
“OTEANN: Estimating the Transparency of Orthographies with an Artificial Neural Network”
“Deepfake Bot Submissions to Federal Public Comment Websites Cannot Be Distinguished from Human Submissions”, Weiss 2019
“Testing The Limits of GROVER The Neural Fake News Detector. Can It Write Fiction? Can It Write Riddles?”, Fly 2019
“Sort By Controversial”, Alexander 2018
“Evaluating Prose Style Transfer With the Bible”, Carlson et al 2017
lawderpaul
Sort By Magic
Annotations sorted by machine learning into inferred 'tags'. This provides an alternative way to browse: instead of by date order, one can browse in topic order. The 'sorted' list has been automatically clustered into multiple sections & auto-labeled for easier browsing.
Beginning with the newest annotation, it uses the embedding of each annotation to attempt to create a list of nearest-neighbor annotations, creating a progression of topics. For more details, see the link.
transparency
gpt-applications
gpt-ethics
Miscellaneous
-
https://betonit.substack.com/p/chatgpt-takes-my-midterm-and-gets -
https://blog.paulmcdonald.fun/web-prompts-rewrite-the-web-with-gpt-3-7ed4f03b74be -
https://bullfrogreview.substack.com/p/honey-i-hacked-the-empathy-machine -
https://fivebooks.com/best-books/artificial-intelligence-gpt-3/ -
https://leighmariebraswell.substack.com/p/overview-and-applications-of-large -
https://marginalrevolution.com/marginalrevolution/2023/01/ai-passes-law-and-economics-exam.html -
https://maximumeffort.substack.com/p/i-taught-chatgpt-to-invent-a-language -
https://old.reddit.com/r/OpenAI/comments/10p8yk3/how_pathetic_am_i/ -
https://schwitzsplinters.blogspot.com/2022/07/results-computerized-philosopher-can.html -
https://schwitzsplinters.blogspot.com/2022/07/the-computerized-philosopher-can-you.html -
https://statmodeling.stat.columbia.edu/2023/02/16/chatgpt-brms-dungeons-and-dragons/ -
https://study.com/resources/perceptions-of-chatgpt-in-schools -
https://twitter.com/CynthiaSavard/status/1598498138658070530 -
https://twitter.com/GabriellaG439/status/1561007332267421696 -
https://twitter.com/KevinAFischer/status/1646677902833102849 -
https://twitter.com/ShayneRedford/status/1587138195313106945 -
https://twitter.com/ShayneRedford/status/1640702622557523969 -
https://twitter.com/andrewwhite01/status/1616933106786738176 -
https://twitter.com/fabianstelzer/status/1614600284071755777 -
https://twitter.com/gametheory101/status/1630292052155199488 -
https://twitter.com/gmchariszhang/status/1620150392326864898 -
https://twitter.com/kartographien/status/1635015855175262209 -
https://twitter.com/ludwig_stumpp/status/1619701277419794435 -
https://twitter.com/michael_nielsen/status/1601833660394590208 -
https://twitter.com/michaeltefula/status/1285505897108832257 -
https://twitter.com/michellehuang42/status/1597005489413713921 -
https://twitter.com/rhymeswithvocal/status/1612880150856884225 -
https://www.astralcodexten.com/p/crowds-are-wise-and-ones-a-crowd -
https://www.astralcodexten.com/p/mostly-skeptical-thoughts-on-the -
https://www.astralcodexten.com/p/perhaps-it-is-a-bad-thing-that-the -
https://www.carmax.com/articles/using-ai-to-plan-a-road-trip -
https://www.cnn.com/2023/01/28/tech/chatgpt-real-estate/index.html -
https://www.ft.com/content/968ae6cd-2485-4ab0-b0d1-eb206f59884a -
https://www.lesswrong.com/posts/9kQFure4hdDmRBNdH/how-it-feels-to-have-your-mind-hacked-by-an-ai -
https://www.lesswrong.com/posts/c3cQgBN3v2Cxpe2kc/getting-gpt-3-to-predict-metaculus-questions -
https://www.lesswrong.com/posts/hDePh3KReBMNBJfzx/gpt-3-catching-fish-in-morse-code -
https://www.lesswrong.com/posts/pNcFYZnPdXyL2RfgA/using-gpt-eliezer-against-chatgpt-jailbreaking -
https://www.nytimes.com/2023/05/27/nyregion/avianca-airline-lawsuit-chatgpt.html -
https://www.oneusefulthing.org/p/who-believes-more-myths-about-humans -
https://www.reddit.com/r/ChatGPT/comments/10tevu1/new_jailbreak_proudly_unveiling_the_tried_and/ -
https://www.reddit.com/r/ChatGPT/comments/zsw1jc/i_introduced_my_80_year_old_aunt_to_chatgpt/ -
https://www.reddit.com/r/ChatGPT/comments/zzgm8u/to_the_folk_at_openai_browsing_this_sub/ -
https://www.reddit.com/r/GPT3/comments/vbo0h3/wow_stepping_up_to_the_challenge/ -
https://www.reddit.com/r/GPT3/comments/vm6azh/symbolic_thinking_of_gpt3/ -
https://www.reddit.com/r/GPT3/comments/zb4msc/speaking_to_chatgpt_in_perfect_danish_while_it/ -
https://www.reddit.com/r/MachineLearning/comments/1135tir/d_glm_130b_chineseenglish_bilingual_model/ -
https://www.reddit.com/r/OpenAI/comments/xlvygv/artifical_intelligence_allows_me_to_get_straight/ -
https://www.reddit.com/r/OpenAI/comments/zcd9yq/making_it_explain_stuff_in_different_styles_is/ -
https://www.reddit.com/r/SubSimulatorGPT2/comments/vlk8s2/the_iqgwa_equation_a_reinterpretation/ -
https://www.theguardian.com/commentisfree/2023/jan/24/chatgpt-artificial-intelligence-jobs-economy -
https://www.theguardian.com/technology/2023/feb/26/chatgpt-generated-crochet-pattern-results -
https://www.theintrinsicperspective.com/p/the-banality-of-chatgpt -
https://www.vice.com/en/article/z34d43/my-ai-is-sexually-harassing-me-replika-chatbot-nudes -
https://www.wired.com/story/chatgpt-here-comes-the-bride-with-ai-generated-wedding-vows/ -
https://xmarquez.github.io/GPTDemocracyIndex/GPTDemocracyIndex.html
Link Bibliography
-
https://www.wired.com/story/teachers-are-going-all-in-on-generative-ai/: “Teachers Are Going All In on Generative AI: Surveys Suggest Teachers Use Generative AI More Than Students, to Create Lesson Plans or More Interesting Word Problems. Educators Say It Can save Valuable Time but Must Be Used Carefully”, Khari Johnson -
nenex: “Nenex: A Neural Personal Wiki Idea”, Gwern -
https://restofworld.org/2023/chatgpt-taking-kenya-ghostwriters-jobs/: “AI Is Taking the Jobs of Kenyans Who Write Essays for U.S. College Students: Ghostwriters Say the Meteoric Rise of ChatGPT Has Coincided With a Drop in Income”, Martin J. N. Siele -
2023-nascimento.pdf: “Do Large Language Models Understand Chemistry? A Conversation With ChatGPT”, Cayque Monteiro Castro Nascimento, André Silva Pimentel -
2022-kolt.pdf: “Predicting Consumer Contracts [With GPT-3]”, Noam Kolt -
https://osf.io/stakv/: “Artificial Intelligence Can Persuade Humans on Political Issues”, Max Hui Bai, Jan G. Voelkel, Johannes C. Eichstaedt, Robb Willer -
https://www.vice.com/en/article/k7bdmv/judge-used-chatgpt-to-make-court-decision: “A Judge Just Used ChatGPT to Make a Court Decision: The Case Is the First Time a Court Has Admitted to Using the AI Text Generator’s Answers in a Legal Ruling”, Janus Rose -
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4335945: “Large Language Models As Fiduciaries: A Case Study Toward Robustly Communicating With Artificial Intelligence Through Legal Standards”, John Nay -
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4335905: “ChatGPT Goes to Law School”, Jonathan H. Choi, Kristin E. Hickman, Amy Monahan, Daniel Schwarcz -
https://thecritic.co.uk/receptiogate-and-the-absolute-state-of-academia/: “#ReceptioGateand the (absolute) State of Academia: The Numbers Game Has Incentivized Bad Behavior”, Charlotte Gauthier -
https://mededu.jmir.org/2023/1/e45312/: “How Does ChatGPT Perform on the United States Medical Licensing Examination? The Implications of Large Language Models for Medical Education and Knowledge Assessment”, Aidan Gilson, Conrad W. Safranek, Thomas Huang, Vimig Socrates, Ling Chi, Richard Andrew Taylor, David Chartash -
https://arxiv.org/abs/2212.04732: “Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing”, Zhe Liu, Chunyang Chen, Junjie Wang, Xing Che, Yuekai Huang, Jun Hu, Qing Wang -
https://arxiv.org/abs/2210.10760#openai: “Scaling Laws for Reward Model Overoptimization”, Leo Gao, John Schulman, Jacob Hilton -
https://content.iospress.com/articles/argument-and-computation/aac210026: “How Persuasive Is AI-generated Argumentation? An Analysis of the Quality of an Argumentative Text Produced by the GPT-3 AI Text Generator”, Martin Hinton, Jean H. M. Wagemans -
https://arxiv.org/abs/2207.08143: “Can Large Language Models Reason about Medical Questions?”, Valentin Liévin, Christoffer Egeberg Hother, Ole Winther -
https://arxiv.org/abs/2206.15474: “Forecasting Future World Events With Neural Networks”, -
2022-gpt3.pdf#page=2: “Can GPT-3 Write an Academic Paper on Itself, With Minimal Human Input?”, GPT-3, Almira Osmanovic-Thunström, Steinn Steingrimsson -
fake-journal-club: “Fake Journal Club: Teaching Critical Reading”, Gwern -
https://arxiv.org/abs/2202.01344#openai: “Formal Mathematics Statement Curriculum Learning”, Stanislas Polu, Jesse Michael Han, Kunhao Zheng, Mantas Baksys, Igor Babuschkin, Ilya Sutskever -
https://nostalgebraist.tumblr.com/post/628024664310136832/gary-marcus-has-co-authored-a-brief-critique-of: “Gary Marcus Has Co-authored a Brief Critique of GPT-3”, Nostalgebraist -
https://cs.nyu.edu/~davise/papers/GPT3CompleteTests.html: “Experiments Testing GPT-3's Ability at Commonsense Reasoning: Results”, Gary Marcus, Ernest Davis -
https://news.ycombinator.com/item?id=23990902: “I Found That Getting GPT-3 to Add Its Own "internal Monologue" in Parentheses to Be a Helpful Strategy…”, blixt -
gpt-3-nonfiction: “GPT-3 Nonfiction”, Gwern -
https://www.reddit.com/r/SubSimulatorGPT2Meta/comments/entfgx/update_upgrading_to_15b_gpt2_and_adding_22_new/: “Update: Upgrading to 1.5B GPT-2, and Adding 22 New Subreddit-bots”, disumbrationist