Tootfinder

A Common Pool of Privacy Problems: Legal and Technical Lessons from a Large-Scale Web-Scraped Machine Learning Dataset
Rachel Hong, Jevan Hutson, William Agnew, Imaad Huda, Tadayoshi Kohno, Jamie Morgenstern
https://arxiv.org/abs/2506.17185

A Common Pool of Privacy Problems: Legal and Technical Lessons from a Large-Scale Web-Scraped Machine Learning Dataset
We investigate the contents of web-scraped data for training AI systems, at sizes where human dataset curators and compilers no longer manually annotate every sample. Building off of prior privacy concerns in machine learning models, we ask: What are the legal privacy implications of web-scraped machine learning datasets? In an empirical study of a popular training dataset, we find significant presence of personally identifiable information despite sanitization efforts. Our audit provides concr…

I had an idea the other day. I couldn't decide if it was a terrible idea or a decent idea. I decided to search the web today, and it turns out its a thing. So while my idea isn't unique by any means, its not terrible! https://wordpress.org/plugins/simply-static/

Patterns of Patterns III
Joseph Corneli, Charles J. Danoff, Raymond S. Puzio, Sridevi Ayloo, Serge Belich, Mary Tedeschi
https://arxiv.org/abs/2506.09696 h…

Patterns of Patterns III
Building on earlier installments, this paper re-examines the PLACARD pattern. We report on a series of workshops where PLACARD was used to scaffold collaborative reflection, speculative inquiry, and stimulate design pattern generation. These accounts are enriched by a comparison case: virtual workshops carried out with simple AI-based chatbots. We discuss limitations and lessons learned from both the human and multi-agent settings. We conclude by outlining a future development strategy at the i…

This https://arxiv.org/abs/2308.15556 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

Outgroup Animosity Has Risen for Politicians, Journalists, and a Sample of Partisan Users on Twitter and Reddit
Using language models, we analyze a sample of 67 million tweets and 30 million Reddit comments referencing a set of 215 political entities from 2010-2023 from partisan users, journalists, and politicians. Our analysis indicates outgroup animosity has increased consistently in our sample, with newer cohorts of users expressing higher levels of animosity than previous ones. Moreover, a small fraction of users are responsible for a disproportionate share of this negative content. We observe system…

SN 2023xgo: Helium rich Type Icn or Carbon-Flash Type Ibn supernova?
Anjasha Gangopadhyay, Jesper Sollerman, Konstantinos Tsalapatas, Keiichi Maeda, Naveen Dukiya, Steve Schulze, Claes Fransson, Nikhil Sarin, Priscila J. Pessi, Mridweeka Singh, Jacob Wise, Tatsuya Nakaoka, Avinash Singh, Raya Dastidar, Miho Kawabata, Yu-Jing Qing, Kaustav K. Das, Daniel Perley, Christoffer Fremling, Kenta Taguchi, K-Ryan Hinds, Ragnhild Lunnan, Rishabh Singh Teja, Monalisa Dubey, Bhavya Ailawadhi, Smar…

SN 2023xgo: Helium rich Type Icn or Carbon-Flash Type Ibn supernova?
We present observations of SN 2023xgo, a transitional Type Ibn/Icn SN, from $-5.6$ to 63 days relative to $r$-band peak. Early spectra show CIII $λ$5696 emission like Type Icn SNe, shifting to Type Ibn features. The He I velocities (1800-10000 km s$^{-1}$) and pseudo-equivalent widths are among the highest in the Ibn/Icn class. The light curve declines at 0.14 mag d$^{-1}$ until 30 days, matching SNe Ibn/Icn but slower than fast transients. SN 2023xgo is the faintest in our SN Ibn sample (M$_{…