Tootfinder

"Meanwhile [various] projects, are co-constructed, won or lost, implemented and written about using cloaked expressions and degrowth-like terminology.
"But the fear of openly speaking about justice, survival and revolution, the fear of being the first fool to shout ‘the emperor has no clothes’, keeps finely hairstyled Europeans in social positions, jobs – sometimes even offices of authority – and sense of self-worth."

Stories of expanded solidarity: the personal and the political in the degrowth perspective from the European periphery
by Mladen Domazet1 When Mark asked me to contribute to this series, there was an instruction to try to point to any good prospects for degrowth in this conjuncture, and a lingering implication to u…

This morning I null routed another dozen IP addresses for scraping my personal git server using repeated http requests. As per usual, a quick inspection reveals that at least some of them are scraping for LLM data. As always, I have not consented to this use of my non-maintained code, experiments, college coursework, and miscellaneous crap that I for whatever reason decided to self host rather than pushing it to Codeberg.
I mean, if you really want to feed your LLM on a diet that inclu…

Ars Technica author Ashley Belanger presents both consumer rights advocacy group Public Citizen's position against the use of AI in toys, and toy maker Mattel's and Open AI's. Public Citizen's tone is baselessly alarmist, given that "Both companies [have] emphasized that safety, privacy, and age-appropriateness would be front of mind in designing Mattel's AI products."
"Toy-maker Mattel accused of planning 'reckless' AI social experiment on k…

PredGen: Accelerated Inference of Large Language Models through Input-Time Speculation for Real-Time Speech Interaction
Shufan Li, Aditya Grover
https://arxiv.org/abs/2506.15556

PredGen: Accelerated Inference of Large Language Models through Input-Time Speculation for Real-Time Speech Interaction
Large Language Models (LLMs) are widely used in real-time voice chat applications, typically in combination with text-to-speech (TTS) systems to generate audio responses. However, their large size often leads to noticeable latency between the end of user input and the start of audio output, resulting in suboptimal user experiences. This latency is particularly evident when LLMs are deployed as single-user voice assistants on consumer-grade hardware with limited computing capacity. We discovered…

An Empirical Study of Bugs in Data Visualization Libraries
Weiqi Lu, Yongqiang Tian, Xiaohan Zhong, Haoyang Ma, Zhenyang Xu, Shing-Chi Cheung, Chengnian Sun
https://arxiv.org/abs/2506.15084

An Empirical Study of Bugs in Data Visualization Libraries
Data visualization (DataViz) libraries play a crucial role in presentation, data analysis, and application development, underscoring the importance of their accuracy in transforming data into visual representations. Incorrect visualizations can adversely impact user experience, distort information conveyance, and influence user perception and decision-making processes. Visual bugs in these libraries can be particularly insidious as they may not cause obvious errors like crashes, but instead mis…

"I Cannot Write This Because It Violates Our Content Policy": Understanding Content Moderation Policies and User Experiences in Generative AI Products
Lan Gao, Oscar Chen, Rachel Lee, Nick Feamster, Chenhao Tan, Marshini Chetty
https://arxiv.org/abs/2506.14018

"I Cannot Write This Because It Violates Our Content Policy": Understanding Content Moderation Policies and User Experiences in Generative AI Products
While recent research has focused on developing safeguards for generative AI (GAI) model-level content safety, little is known about how content moderation to prevent malicious content performs for end-users in real-world GAI products. To bridge this gap, we investigated content moderation policies and their enforcement in GAI online tools -- consumer-facing web-based GAI applications. We first analyzed content moderation policies of 14 GAI online tools. While these policies are comprehensive i…

Arm CEO Rene Haas sides with Nvidia CEO Jensen Huang, saying US export controls on China threaten to slow tech advances and harm consumers and companies (Bloomberg)
https://www.bloomberg.com/news/articles/2025-06-12/ar…

O.k. four more slides by Eduard Masana at the Leuven SEC about the 2026 Total #SolarEclipse in Spain, namely what the Comisión Nacional del Eclipse is preparing: see https://www.iaa.csic.es/page/comision-nacional-eclipse and https://eclipses.ign.es and https://eclipse-spain.es/index.php/en/ for relevant websites. And some Final Thoughts and Recommendations about the expected eclipse experience in Spain. 13/n

Group then Scale: Dynamic Mixture-of-Experts Multilingual Language Model
Chong Li, Yingzhuo Deng, Jiajun Zhang, Chengqing Zong
https://arxiv.org/abs/2506.12388

Group then Scale: Dynamic Mixture-of-Experts Multilingual Language Model
The curse of multilinguality phenomenon is a fundamental problem of multilingual Large Language Models (LLMs), where the competition between massive languages results in inferior performance. It mainly comes from limited capacity and negative transfer between dissimilar languages. To address this issue, we propose a method to dynamically group and scale up the parameters of multilingual LLM while boosting positive transfer among similar languages. Specifically, the model is first tuned on monol…

UXR Point of View on Product Feature Prioritization Prior To Multi-Million Engineering Commitments
Jonas Lau, Annie Tran
https://arxiv.org/abs/2506.15294 h…

UXR Point of View on Product Feature Prioritization Prior To Multi-Million Engineering Commitments
This paper discusses a popular UX research activity, feature prioritization, using the User Experience Research Point of View (UXR PoV) Playbook framework. We describe an application of multinomial logistic regression, frequently marketed as MaxDiff, for prioritizing product features in consumer product development. It addresses challenges of traditional surveying techniques. We propose a solution using MaxDiff to generate a reliable preference list with a reasonable sample size. We also adapt …