Tootfinder

So DHH has gone fully open right winger? Maybe that gets people to stop sharing and reading his takes.
If you still share that motherfucker's writing or advertise his business rethink your whole life decisions and move to the woods or something.

Quick interlude from my sabbatical, because new DHH full-on Nazi shit dropped on 37signals' blog. (I'm not linking to it.)
Anyone associating with this guy can go fuck themselves.
Especially you, Ruby on Rails Core Team, and you people who collaborate with him at conferences.
Fuck you, forever.

EchoAid: Enhancing Livestream Shopping Accessibility for the DHH Community
Zeyu Yang, Zheng Wei, Yang Zhang, Xian Xu, Changyang He, Muzhi Zhou, Pan Hui
https://arxiv.org/abs/2508.08020

EchoAid: Enhancing Livestream Shopping Accessibility for the DHH Community
Livestream shopping platforms often overlook the accessibility needs of the Deaf and Hard of Hearing (DHH) community, leading to barriers such as information inaccessibility and overload. To tackle these challenges, we developed \textit{EchoAid}, a mobile app designed to improve the livestream shopping experience for DHH users. \textit{EchoAid} utilizes advanced speech-to-text conversion, Rapid Serial Visual Presentation (RSVP) technology, and Large Language Models (LLMs) to simplify the comple…

Apparently DHH announced he’s moving to Linux; no big surprise there as there’s a sizable fraction of right-wing users of it (somewhere in the “rational-thinking, free speech, meritocracy & libertarian with a sprinkle of pseudoscience” oeuvre).
Something the Linux community has never managed to effectively deal with.

Periodic reminder to cancel DHH

CapTune: Adapting Non-Speech Captions With Anchored Generative Models
Jeremy Zhengqi Huang, Calu\~a de Lacerda Pataca, Liang-Yuan Wu, Dhruv Jain
https://arxiv.org/abs/2508.19971

CapTune: Adapting Non-Speech Captions With Anchored Generative Models
Non-speech captions are essential to the video experience of deaf and hard of hearing (DHH) viewers, yet conventional approaches often overlook the diversity of their preferences. We present CapTune, a system that enables customization of non-speech captions based on DHH viewers' needs while preserving creator intent. CapTune allows caption authors to define safe transformation spaces using concrete examples and empowers viewers to personalize captions across four dimensions: level of detail, e…

SonoCraftAR: Towards Supporting Personalized Authoring of Sound-Reactive AR Interfaces by Deaf and Hard of Hearing Users
Jaewook Lee, Davin Win Kyi, Leejun Kim, Jenny Peng, Gagyeom Lim, Jeremy Zhengqi Huang, Dhruv Jain, Jon E. Froehlich
https://arxiv.org/abs/2508.17597

SonoCraftAR: Towards Supporting Personalized Authoring of Sound-Reactive AR Interfaces by Deaf and Hard of Hearing Users
Augmented reality (AR) has shown promise for supporting Deaf and hard-of-hearing (DHH) individuals by captioning speech and visualizing environmental sounds, yet existing systems do not allow users to create personalized sound visualizations. We present SonoCraftAR, a proof-of-concept prototype that empowers DHH users to author custom sound-reactive AR interfaces using typed natural language input. SonoCraftAR integrates real-time audio signal processing with a multi-agent LLM pipeline that pro…

Virtual Reality in Sign Language Education: Opportunities, Challenges, and the Road Ahead
Refia Daya, Santiago Berrezueta-Guzman, Stefan Wagner
https://arxiv.org/abs/2508.17362 …

Virtual Reality in Sign Language Education: Opportunities, Challenges, and the Road Ahead
Sign language (SL) is an essential mode of communication for Deaf and Hard-of-Hearing (DHH) individuals. Its education remains limited by the lack of qualified instructors, insufficient early exposure, and the inadequacy of traditional teaching methods. Recent advances in Virtual Reality (VR) and Artificial Intelligence (AI) offer promising new approaches to enhance sign language learning through immersive, interactive, and feedback-rich environments. This paper presents a systematic review of …