A. Feder Cooper
@afedercooper.bsky.social
Reposted by A. Feder Cooper
The whole point of being an academic is that you need to be willing to spend three days creating a 700-word footnote that you will later delete. And you need to LIKE IT.
December 20, 2025 at 2:15 PM
The whole point of being an academic is that you need to be willing to spend three days creating a 700-word footnote that you will later delete. And you need to LIKE IT.
[NeurIPS '25] Our poster (1110) for “Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming ” is on Friday, December 5, 4:30pm-7:30pm PST in Exhibit Hall C,D,E. [https://openreview.net/forum?id=d7hqAhLvWG]
December 5, 2025 at 11:53 PM
[NeurIPS '25] Our poster (1110) for “Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming ” is on Friday, December 5, 4:30pm-7:30pm PST in Exhibit Hall C,D,E. [https://openreview.net/forum?id=d7hqAhLvWG]
I’ll be hanging out at our poster on membership inference, but in the same slot Brian Lester will present our work on “The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text” (poster 102)! [https://arxiv.org/abs/2506.05209]
[NeurIPS '25] Really excited to present “Exploring the limits of strong membership inference attacks on large language models” (poster 1300) this morning (Friday December 5, 11am-2pm in Exhibit Hall C-E)! [https://arxiv.org/abs/2505.18773]
December 5, 2025 at 5:04 PM
I’ll be hanging out at our poster on membership inference, but in the same slot Brian Lester will present our work on “The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text” (poster 102)! [https://arxiv.org/abs/2506.05209]
[NeurIPS '25] Really excited to present “Exploring the limits of strong membership inference attacks on large language models” (poster 1300) this morning (Friday December 5, 11am-2pm in Exhibit Hall C-E)! [https://arxiv.org/abs/2505.18773]
December 5, 2025 at 4:39 PM
[NeurIPS '25] Really excited to present “Exploring the limits of strong membership inference attacks on large language models” (poster 1300) this morning (Friday December 5, 11am-2pm in Exhibit Hall C-E)! [https://arxiv.org/abs/2505.18773]
[NeurIPS '25] Our oral slot and poster session on "Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research" are tomorrow, December 4! [https://arxiv.org/abs/2412.06966]
Oral: 3:30-4pm PST, Upper Level Ballroom 20AB
Poster 1307: 4:30:-7:30pm PST, Exhibit Hall C-E
Oral: 3:30-4pm PST, Upper Level Ballroom 20AB
Poster 1307: 4:30:-7:30pm PST, Exhibit Hall C-E
December 3, 2025 at 9:02 PM
[NeurIPS '25] Our oral slot and poster session on "Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research" are tomorrow, December 4! [https://arxiv.org/abs/2412.06966]
Oral: 3:30-4pm PST, Upper Level Ballroom 20AB
Poster 1307: 4:30:-7:30pm PST, Exhibit Hall C-E
Oral: 3:30-4pm PST, Upper Level Ballroom 20AB
Poster 1307: 4:30:-7:30pm PST, Exhibit Hall C-E
Tutorial tomorrow at 1:30PM PST!
My talk slots will cover memorization + copying in models and their outputs, canonical extraction methods, and recent work with @marklemley.bsky.social and others on extracting pieces of memorized books from open-weight models.
arxiv.org/abs/2505.12546
My talk slots will cover memorization + copying in models and their outputs, canonical extraction methods, and recent work with @marklemley.bsky.social and others on extracting pieces of memorized books from open-weight models.
arxiv.org/abs/2505.12546
December 1, 2025 at 6:42 PM
Tutorial tomorrow at 1:30PM PST!
My talk slots will cover memorization + copying in models and their outputs, canonical extraction methods, and recent work with @marklemley.bsky.social and others on extracting pieces of memorized books from open-weight models.
arxiv.org/abs/2505.12546
My talk slots will cover memorization + copying in models and their outputs, canonical extraction methods, and recent work with @marklemley.bsky.social and others on extracting pieces of memorized books from open-weight models.
arxiv.org/abs/2505.12546
Reposted by A. Feder Cooper
I'm at NeurIPS & hiring for our pretraining safety team at OpenAI! Email me if you want to chat about making safer base models!
December 1, 2025 at 6:03 AM
I'm at NeurIPS & hiring for our pretraining safety team at OpenAI! Email me if you want to chat about making safer base models!
Excited to be at NeurIPS this week in San Diego! Please reach out (best over email) if you’d like to chat about privacy & security, scalable evals, and reliable ML systems.
I’ll be presenting a few papers/speaking at some events, please stop by! Will post details throughout the week (summary below)
I’ll be presenting a few papers/speaking at some events, please stop by! Will post details throughout the week (summary below)
November 30, 2025 at 10:31 PM
Excited to be at NeurIPS this week in San Diego! Please reach out (best over email) if you’d like to chat about privacy & security, scalable evals, and reliable ML systems.
I’ll be presenting a few papers/speaking at some events, please stop by! Will post details throughout the week (summary below)
I’ll be presenting a few papers/speaking at some events, please stop by! Will post details throughout the week (summary below)
Reposted by A. Feder Cooper
📣 Postdocs at Yale FDS! 📣 Tremendous freedom to work on data science problems with faculty across campus, multi-year, great salary. Deadline 12/15. Spread the word! Application: academicjobsonline.org/ajo/jobs/31114 More about Yale FDS: fds.yale.edu
Yale University, Institute for the Foundations of Data Science
Job #AJO31114, Postdoc in Foundations of Data Science, Institute for the Foundations of Data Science, Yale University, New Haven, Connecticut, US
academicjobsonline.org
November 18, 2025 at 3:54 AM
📣 Postdocs at Yale FDS! 📣 Tremendous freedom to work on data science problems with faculty across campus, multi-year, great salary. Deadline 12/15. Spread the word! Application: academicjobsonline.org/ajo/jobs/31114 More about Yale FDS: fds.yale.edu
Just finished reading the GEMA v. OpenAI decision (slowly, my German isn't great). Looks like a not small part of the analysis tracked parts of arguments @jtlg.bsky.social and I made in 2024.
I don't have a well-formed response yet, but hopefully soon. (Main thought atm is a very unpolished "woah")
I don't have a well-formed response yet, but hopefully soon. (Main thought atm is a very unpolished "woah")
Today's decision in GEMA v. OpenAI by a German court holds that ChatGPT infringes copyright when it memorizes song lyrics. The opinion cites my paper with @afedercooper.bsky.social on memorization in generative models, and its analysis tracks ours.
drive.google.com/file/d/1dUaD...
drive.google.com/file/d/1dUaD...
42-O-14139-24-Endurteil.pdf
drive.google.com
November 12, 2025 at 9:40 PM
Just finished reading the GEMA v. OpenAI decision (slowly, my German isn't great). Looks like a not small part of the analysis tracked parts of arguments @jtlg.bsky.social and I made in 2024.
I don't have a well-formed response yet, but hopefully soon. (Main thought atm is a very unpolished "woah")
I don't have a well-formed response yet, but hopefully soon. (Main thought atm is a very unpolished "woah")
Reposted by A. Feder Cooper
Today's decision in GEMA v. OpenAI by a German court holds that ChatGPT infringes copyright when it memorizes song lyrics. The opinion cites my paper with @afedercooper.bsky.social on memorization in generative models, and its analysis tracks ours.
drive.google.com/file/d/1dUaD...
drive.google.com/file/d/1dUaD...
42-O-14139-24-Endurteil.pdf
drive.google.com
November 12, 2025 at 12:58 AM
Today's decision in GEMA v. OpenAI by a German court holds that ChatGPT infringes copyright when it memorizes song lyrics. The opinion cites my paper with @afedercooper.bsky.social on memorization in generative models, and its analysis tracks ours.
drive.google.com/file/d/1dUaD...
drive.google.com/file/d/1dUaD...
Reposted by A. Feder Cooper
Bill Ackman gotta be on the third draft of a tweet longer than Middlemarch right now
November 5, 2025 at 2:52 AM
Bill Ackman gotta be on the third draft of a tweet longer than Middlemarch right now
I’m kinda known as a copyright person, but (even in memorization) I mainly study how to draw reliable conclusions from large-scale AI/ML systems. There’s a long spiel why, but today I feel defeated. 100 hours/week on this for 6 years, just to find out a parent treats Gemini in search as ground-truth
November 1, 2025 at 4:44 PM
I’m kinda known as a copyright person, but (even in memorization) I mainly study how to draw reliable conclusions from large-scale AI/ML systems. There’s a long spiel why, but today I feel defeated. 100 hours/week on this for 6 years, just to find out a parent treats Gemini in search as ground-truth
The NeurIPS position track didn't take a large number of extraordinary papers that surpassed the acceptance bar, limiting the acceptance rate to an unusually low 6%.
If you have a rejected paper at the intersection of ML and law, consider submitting to ACM CSLaw '26.
If you have a rejected paper at the intersection of ML and law, consider submitting to ACM CSLaw '26.
2026-CFP - ACM Symposium on Computer Science & Law
2026 Call for Papers 5th ACM Symposium on Computer Science and Law March 3-5, 2026 Berkeley, California The 5th ACM…
computersciencelaw.org
September 26, 2025 at 10:14 PM
The NeurIPS position track didn't take a large number of extraordinary papers that surpassed the acceptance bar, limiting the acceptance rate to an unusually low 6%.
If you have a rejected paper at the intersection of ML and law, consider submitting to ACM CSLaw '26.
If you have a rejected paper at the intersection of ML and law, consider submitting to ACM CSLaw '26.
Reposted by A. Feder Cooper
Our paper "Machine Unlearning Doesn't Do What You Think" was accepted for presentation at NeurIPS
Congrats @afedercooper.bsky.social and @katherinelee.bsky.social, who led the effort
arxiv.org/abs/2412.06966
Congrats @afedercooper.bsky.social and @katherinelee.bsky.social, who led the effort
arxiv.org/abs/2412.06966
Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice
We articulate fundamental mismatches between technical methods for machine unlearning in Generative AI, and documented aspirations for broader impact that these methods could have for law and policy. ...
arxiv.org
September 26, 2025 at 6:37 PM
Our paper "Machine Unlearning Doesn't Do What You Think" was accepted for presentation at NeurIPS
Congrats @afedercooper.bsky.social and @katherinelee.bsky.social, who led the effort
arxiv.org/abs/2412.06966
Congrats @afedercooper.bsky.social and @katherinelee.bsky.social, who led the effort
arxiv.org/abs/2412.06966
One more week to submit to CSLaw '26!!
15 days left to submit to the CSLaw '26 main track! (archival and non-archival)!
The CFP for ACM CSLaw '26 is up! Deadline for main-track papers (archival and non-archival) is September 30!
computersciencelaw.org/2026
computersciencelaw.org/2026
September 24, 2025 at 6:59 PM
One more week to submit to CSLaw '26!!
Reposted by A. Feder Cooper
For an update on the state of play in the generative AI copyright cases, try this podcast: shows.acast.com/arbiters-of-...
AI Copyright Lawsuits with Pam Samuelson | Scaling Laws
shows.acast.com
September 16, 2025 at 8:52 PM
For an update on the state of play in the generative AI copyright cases, try this podcast: shows.acast.com/arbiters-of-...
15 days left to submit to the CSLaw '26 main track! (archival and non-archival)!
The CFP for ACM CSLaw '26 is up! Deadline for main-track papers (archival and non-archival) is September 30!
computersciencelaw.org/2026
computersciencelaw.org/2026
2026 - ACM Symposium on Computer Science & Law
CS&Law 2026 5th ACM Symposium on Computer Science and Law March 3–5, 2026 Berkeley, California Computing, software, and the Internet…
computersciencelaw.org
September 15, 2025 at 5:44 PM
15 days left to submit to the CSLaw '26 main track! (archival and non-archival)!
Reposted by A. Feder Cooper
did a little media criticism www.theverge.com/politics/777...
The WSJ carelessly spread anti-trans misinformation
The Wall Street Journal’s fuckup while covering Charlie Kirk’s killing needs more than an editor’s note.
www.theverge.com
September 12, 2025 at 10:04 PM
did a little media criticism www.theverge.com/politics/777...
Reposted by A. Feder Cooper
was just looking for @seantcollins.com’s “goofy at the crucification” post and google is so cool now
September 13, 2025 at 1:25 AM
was just looking for @seantcollins.com’s “goofy at the crucification” post and google is so cool now
After 2 years in press, it's published!
"Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chain," is out in the 72nd volume of the Journal of the Copyright Society
copyrightsociety.org/journal-entr...
written with @katherinelee.bsky.social & @jtlg.bsky.social (2023)
"Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chain," is out in the 72nd volume of the Journal of the Copyright Society
copyrightsociety.org/journal-entr...
written with @katherinelee.bsky.social & @jtlg.bsky.social (2023)
TALKIN' 'BOUT AI GENERATION: COPYRIGHT AND THE GENERATIVE-AI SUPPLY CHAIN | The Copyright Society
We know copyright
copyrightsociety.org
September 10, 2025 at 7:12 PM
After 2 years in press, it's published!
"Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chain," is out in the 72nd volume of the Journal of the Copyright Society
copyrightsociety.org/journal-entr...
written with @katherinelee.bsky.social & @jtlg.bsky.social (2023)
"Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chain," is out in the 72nd volume of the Journal of the Copyright Society
copyrightsociety.org/journal-entr...
written with @katherinelee.bsky.social & @jtlg.bsky.social (2023)
Reposted by A. Feder Cooper
The Bartz v. Anthropic settlement is the polar opposite of the Google Books settlement: a discrete one-time payment for past copying, on a discrete and closed-ended class, and making no attempt at all to deal with a larger forward-looking issues.
September 5, 2025 at 8:06 PM
The Bartz v. Anthropic settlement is the polar opposite of the Google Books settlement: a discrete one-time payment for past copying, on a discrete and closed-ended class, and making no attempt at all to deal with a larger forward-looking issues.
Reposted by A. Feder Cooper
Here is the direct link to the paper: arxiv.org/abs/2505.12546
August 21, 2025 at 10:51 PM
Here is the direct link to the paper: arxiv.org/abs/2505.12546
I’m excited to share that my paper with @jtlg.bsky.social , "The Files are in the Computer: On Copyright, Memorization, and Generative AI" (April 2024), is out in the AI Disrupting Law symposium issue of the Chicago-Kent Law Review!
The full issue is here: scholarship.kentlaw.iit.edu/cklawreview/
The full issue is here: scholarship.kentlaw.iit.edu/cklawreview/
Chicago-Kent Law Review | Chicago-Kent College of Law
scholarship.kentlaw.iit.edu
August 21, 2025 at 8:18 PM
I’m excited to share that my paper with @jtlg.bsky.social , "The Files are in the Computer: On Copyright, Memorization, and Generative AI" (April 2024), is out in the AI Disrupting Law symposium issue of the Chicago-Kent Law Review!
The full issue is here: scholarship.kentlaw.iit.edu/cklawreview/
The full issue is here: scholarship.kentlaw.iit.edu/cklawreview/
The CFP for ACM CSLaw '26 is up! Deadline for main-track papers (archival and non-archival) is September 30!
computersciencelaw.org/2026
computersciencelaw.org/2026
2026 - ACM Symposium on Computer Science & Law
CS&Law 2026 5th ACM Symposium on Computer Science and Law March 3–5, 2026 Berkeley, California Computing, software, and the Internet…
computersciencelaw.org
August 8, 2025 at 11:18 PM
The CFP for ACM CSLaw '26 is up! Deadline for main-track papers (archival and non-archival) is September 30!
computersciencelaw.org/2026
computersciencelaw.org/2026