‘GPT poetry’ directory
- See Also
- Gwern
- “Your Hands And Mine”, Gwern et al 2025
- “The Fourth Truth Of Pain”, Gwern et al 2022
- “A Christmas Protestation”, Gwern et al 2024
- “Tilakkhana: The 3 Scars of Existence”, Gwern et al 2025
- “Silver Bird Above San Francisco”, Gwern et al 2025
- “Bell, Crow, Moon: 11 Variations”, Gwern et al 2025
- “Parliament of Rag & Bone”, Gwern et al 2025
- “Towards Benchmarking LLM Diversity & Creativity”, Gwern 2024
- “GPT-3 Creative Fiction”, Gwern 2020
- “Crowdsourcing The Best GPT-2-1.5b Poetry”, Gwern 2020
- “GPT-2 Preference Learning for Music Generation”, Gwern 2019
- “GPT-2 Neural Network Poetry”, Gwern & Presser 2019
- Links
- “Thought Bubble: I Am Pleased to Report That AI Is Now a Better Poet Than William McGonagall”, Hugh-Jones 2025
- “Analyzing Poems With LLMs”, Toper 2024
- “Poetry Will Not Optimize, or What Is Literature to AI?”, Elam 2023
- “Ars Autopoetica: On Authorial Intelligence, Generative Literature, and the Future of Language”, Stiles 2023
- “Help Me Write a Poem: Instruction Tuning As a Vehicle for Collaborative Poetry Writing (CoPoet)”, Chakrabarty et al 2022
- “Most Language Models Can Be Poets Too: An AI Writing Assistant and Constrained Text Generation Studio”, Roush et al 2022
- “Well, I Have Just Tried With GPT-3”, throwlem 2022
- “Predictability and Surprise in Large Generative Models”, Ganguli et al 2022
- “Part 1: AI That Writes—GPT-3: a Big Step Forward”, Binks 2022
- “Apropos of Nothing”, Brundage 2021
- “Scaling Language Models: Methods, Analysis & Insights from Training Gopher”, Rae et al 2021
- “Imitations of Immortality: Learning from Human Imitative Examples in Transformer Poetry Generation”, LC 2021
- “A Wild Adventure With GPT-3: Featuring Indian Mythology and Neruda”, Salahuddin 2021
- “There Once Was a Really Bad Poet, It Was Automated but You Didn’t Know It”, Wang et al 2021
- “Collaborative Storytelling With Large-Scale Neural Language Models”, Nichols et al 2020
- “Can GPT-3 Pass a Writer’s Turing Test?”, Elkins & Chun 2020
- “GPT-2 AI Poetry Generation: Writing like Donne”, Case 2020
- “GPT-3 Paper § Figure F.1: Four Uncurated Completions from a Context Suggesting the Model Compose a Poem in the Style of Wallace Stevens With the Title ‘Shadows on the Way’”, GPT-3 2020 (page 48)
- “Artificial Intelligence versus Maya Angelou: Experimental Evidence That People Cannot Differentiate AI-Generated from Human-Written Poetry”, Köbis & Mossink 2020
- “Introducing Aspects of Creativity in Automatic Poetry Generation”, Bena & Kalita 2020
- “2019-10-18-Poetryfoundation-Formatted.txt”
- “GPT-Based Generation for Classical Chinese Poetry”, Liao et al 2019
- “OpenAI’s New Language AI Is Available to Try Yourself”
- “3 More GPT-2 Poems”, Goodwin 2019
- “The Poetry Machine”, Wijeratne 2019
- “FridAI: ‘Water, Water, Everywhere’, As Read by Artificial Intelligence”, Kosmopol 2019
- “GPT-2 Howl”, Miles 2019
- “Gpt-2-Poetry”, McDonald 2019
- “First Line of Famous Poems Continued by GPT-2”, Krantz 2019
- “GPT-2 Writes a Shelley Poem”, Woods 2019
- “An Eternal Howl”, antinegationism 2019
- “Random_ai_poems.txt”
- Sort By Magic
- Miscellaneous
- Bibliography
See Also
Gwern
“Your Hands And Mine”, Gwern et al 2025
“The Fourth Truth Of Pain”, Gwern et al 2022
“A Christmas Protestation”, Gwern et al 2024
“Tilakkhana: The 3 Scars of Existence”, Gwern et al 2025
“Silver Bird Above San Francisco”, Gwern et al 2025
“Bell, Crow, Moon: 11 Variations”, Gwern et al 2025
“Parliament of Rag & Bone”, Gwern et al 2025
“Towards Benchmarking LLM Diversity & Creativity”, Gwern 2024
“GPT-3 Creative Fiction”, Gwern 2020
“Crowdsourcing The Best GPT-2-1.5b Poetry”, Gwern 2020
“GPT-2 Preference Learning for Music Generation”, Gwern 2019
“GPT-2 Neural Network Poetry”, Gwern & Presser 2019
Links
“Thought Bubble: I Am Pleased to Report That AI Is Now a Better Poet Than William McGonagall”, Hugh-Jones 2025
Thought bubble: I am pleased to report that AI is now a better poet than William McGonagall
“Analyzing Poems With LLMs”, Toper 2024
“Poetry Will Not Optimize, or What Is Literature to AI?”, Elam 2023
“Ars Autopoetica: On Authorial Intelligence, Generative Literature, and the Future of Language”, Stiles 2023
Ars Autopoetica: On Authorial Intelligence, Generative Literature, and the Future of Language :
“Help Me Write a Poem: Instruction Tuning As a Vehicle for Collaborative Poetry Writing (CoPoet)”, Chakrabarty et al 2022
Help me write a poem: Instruction Tuning as a Vehicle for Collaborative Poetry Writing (CoPoet)
“Most Language Models Can Be Poets Too: An AI Writing Assistant and Constrained Text Generation Studio”, Roush et al 2022
“Well, I Have Just Tried With GPT-3”, throwlem 2022
“Predictability and Surprise in Large Generative Models”, Ganguli et al 2022
“Part 1: AI That Writes—GPT-3: a Big Step Forward”, Binks 2022
“Apropos of Nothing”, Brundage 2021
“Scaling Language Models: Methods, Analysis & Insights from Training Gopher”, Rae et al 2021
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
“Imitations of Immortality: Learning from Human Imitative Examples in Transformer Poetry Generation”, LC 2021
Imitations of Immortality: Learning from Human Imitative Examples in Transformer Poetry Generation
“A Wild Adventure With GPT-3: Featuring Indian Mythology and Neruda”, Salahuddin 2021
A Wild Adventure With GPT-3: Featuring Indian Mythology and Neruda
“There Once Was a Really Bad Poet, It Was Automated but You Didn’t Know It”, Wang et al 2021
There Once Was a Really Bad Poet, It Was Automated but You Didn’t Know It
“Collaborative Storytelling With Large-Scale Neural Language Models”, Nichols et al 2020
Collaborative Storytelling with Large-scale Neural Language Models
“Can GPT-3 Pass a Writer’s Turing Test?”, Elkins & Chun 2020
“GPT-2 AI Poetry Generation: Writing like Donne”, Case 2020
GPT-2 AI Poetry Generation: Writing like Donne :
View PDF:
“GPT-3 Paper § Figure F.1: Four Uncurated Completions from a Context Suggesting the Model Compose a Poem in the Style of Wallace Stevens With the Title ‘Shadows on the Way’”, GPT-3 2020 (page 48)
“Artificial Intelligence versus Maya Angelou: Experimental Evidence That People Cannot Differentiate AI-Generated from Human-Written Poetry”, Köbis & Mossink 2020
“Introducing Aspects of Creativity in Automatic Poetry Generation”, Bena & Kalita 2020
Introducing Aspects of Creativity in Automatic Poetry Generation
“2019-10-18-Poetryfoundation-Formatted.txt”
“GPT-Based Generation for Classical Chinese Poetry”, Liao et al 2019
“OpenAI’s New Language AI Is Available to Try Yourself”
“3 More GPT-2 Poems”, Goodwin 2019
“The Poetry Machine”, Wijeratne 2019
“FridAI: ‘Water, Water, Everywhere’, As Read by Artificial Intelligence”, Kosmopol 2019
FridAI: ‘Water, water, everywhere’, as read by Artificial Intelligence
“GPT-2 Howl”, Miles 2019
“Gpt-2-Poetry”, McDonald 2019
“First Line of Famous Poems Continued by GPT-2”, Krantz 2019
“GPT-2 Writes a Shelley Poem”, Woods 2019
“An Eternal Howl”, antinegationism 2019
“Random_ai_poems.txt”
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.
gpt-experiments
automated-verse
gpt-poetry
Miscellaneous
/doc/ai/nn/transformer/gpt/2/2019-10-19-gwern-gpt2-poetry-pgclean-117m.tar.xz/doc/ai/nn/transformer/gpt/2/2019-07-21-gwern-gpt2-345m-taotehching-all.tar.xz/doc/ai/nn/transformer/gpt/poetry/2019-05-13-gpt2-poetry-345m-5000samples.txt/doc/ai/nn/transformer/gpt/2/2019-05-13-gwern-gpt2-poetry-345m.tar.xz/doc/ai/nn/transformer/gpt/poetry/2019-03-06-gpt2-poetry-1000samples.txt/doc/ai/nn/transformer/gpt/2/2019-03-06-gwern-gpt2-poetry-projectgutenberg-network-519407.tar.xzhttps://www.lesswrong.com/posts/jkY6QdCfAXHJk3kea/the-petertodd-phenomenonhttps://www.reddit.com/r/GPT3/comments/vv3dd8/i_asked_it_to_write_a_shakespearean_poem_about/https://www.reddit.com/r/GPT3/comments/vxl21b/a_gangsta_rap_about_pencils/
Bibliography
https://arxiv.org/abs/2210.13669: “Help Me Write a Poem: Instruction Tuning As a Vehicle for Collaborative Poetry Writing (CoPoet)”,https://aclanthology.org/2022.cai-1.2.pdf: “Most Language Models Can Be Poets Too: An AI Writing Assistant and Constrained Text Generation Studio”,https://arxiv.org/abs/2202.07785#anthropic: “Predictability and Surprise in Large Generative Models”,https://www.clearerthinking.org/post/what-ai-can-do-what-it-can-t-do-and-what-s-coming#viewer-85rmk: “Part 1: AI That Writes—GPT-3: a Big Step Forward”,https://arxiv.org/abs/2112.11446#deepmind: “Scaling Language Models: Methods, Analysis & Insights from Training Gopher”,2019-02-21-peterkrantz-twitter-firstlineoffamouspoemscontinuedbygpt2.html: “First Line of Famous Poems Continued by GPT-2”,