Tootfinder

Calling TeaOnHer’s content 'seemingly illegal,' lawmakers demand info from company https://therecord.media/teaonher-app-letter-house-oversight-republicans

« De la Russie au Kazakhstan, le blé dur s’élève Š l’Est, alors qu’en France les surfaces plantées s’étiolent »
https://www.lemonde.fr/economie/article/2025/09/28/de-…

« De la Russie au Kazakhstan, le blé dur s’élève à l’Est, alors qu’en France les surfaces plantées s’étiolent »
La bonne récolte canadienne et l’absence d’incident climatique en Europe modèrent le cours du grain doré. Pas de quoi inciter les agriculteurs français à en planter davantage, explique dans sa chronique Laurence Girard, journaliste au « Monde ».

WaterFlow: Explicit Physics-Prior Rectified Flow for Underwater Saliency Mask Generation
Runting Li, Shijie Lian, Hua Li, Yutong Li, Wenhui Wu, Sam Kwong
https://arxiv.org/abs/2510.12605

WaterFlow: Explicit Physics-Prior Rectified Flow for Underwater Saliency Mask Generation
Underwater Salient Object Detection (USOD) faces significant challenges, including underwater image quality degradation and domain gaps. Existing methods tend to ignore the physical principles of underwater imaging or simply treat degradation phenomena in underwater images as interference factors that must be eliminated, failing to fully exploit the valuable information they contain. We propose WaterFlow, a rectified flow-based framework for underwater salient object detection that innovatively…

A Japanese minister pledges to improve working conditions for creators, blaming low wages and grueling working conditions on "passion exploitation" of creators (Megumi Fujikawa/Wall Street Journal)
https://www.

StyleDecipher: Robust and Explainable Detection of LLM-Generated Texts with Stylistic Analysis
Siyuan Li, Aodu Wulianghai, Xi Lin, Guangyan Li, Xiang Chen, Jun Wu, Jianhua Li
https://arxiv.org/abs/2510.12608

StyleDecipher: Robust and Explainable Detection of LLM-Generated Texts with Stylistic Analysis
With the increasing integration of large language models (LLMs) into open-domain writing, detecting machine-generated text has become a critical task for ensuring content authenticity and trust. Existing approaches rely on statistical discrepancies or model-specific heuristics to distinguish between LLM-generated and human-written text. However, these methods struggle in real-world scenarios due to limited generalization, vulnerability to paraphrasing, and lack of explainability, particularly w…

Day 19 (a bit late): Alice Oseman
As I said I've got 14 authors to fit into two days. Probably just going to extend to 30? But Oseman gets this spot as an absolute legend of queer fiction in both novel & graphic novel form, and an excellent example of the many truths queer writers have to share with non-queer people that can make everyone's lives better. Her writing is very kind, despite in many instances dealing with some dark stuff.
I started out on Heartstopper, which is just so lovely and fun to read, and then made my way through several of her novels. The one I'll highlight here which I think it's her greatest triumph is "Loveless", which is semi-autobiographical and was at least my first (but no longer only) experience with the "platonic romance" sub-genre. It not only helped me work through some crufty internal doubts about aro/ace identities that I'd never really examined, but in the process helped improve my understanding of friendship, period. Heck, it's probably a nice novel for anyone questioning any sort of identity or dealing with loneliness, and it's just super-enjoyable as a story regardless of the philosophical value.
To cheat a bit more here on my author count, I recently read "Dear Wendy" by Ann Zhao, which shouts out "Loveless" and offers a more expository exploration of aro/ace identities, but "Loveless" is a book with more heart and better writing overall, including the neat plotting and great pacing. I think there are also parallels with Becky Albertalli's work, though I think I like Oseman slightly more. Certainly both excel at writing queer romance (and romance-adjacent) stuff with happy endings (#OwnVoices wins again with all three authors).
In any case, Oseman is excellent and if you're not up for reading a novel, Heartstopper is a graphic novel series that's easy to jump into and very kind to its adorable main characters.
I think I've now decided to continue to 30, which is a relief, so I'm tagging this (and the next post that rounds out 20) two ways.
#20AuthorsNoMen
#30AuthorsNoMen

🙈 Corruption: When norms upstage the law
https://knowablemagazine.org/content/article/society/2025/how-corruption-interplays-with-social-norms

Corruption: When norms upstage the law
People with good motives may engage in bribery and worse depending on what society expects of them. A political scientist explains.

Generative Multi-Sensory Meditation: Exploring Immersive Depth and Activation in Virtual Reality
Yuyang Jiang, Binzhu Xie, Lina Xu, Xiaokang Lei, Shi Qiu, Luwen Yu, Pan Hui
https://arxiv.org/abs/2510.11830

Generative Multi-Sensory Meditation: Exploring Immersive Depth and Activation in Virtual Reality
Mindfulness meditation has seen increasing applications in diverse domains as an effective practice to improve mental health. However, the standardized frameworks adopted by most applications often fail to cater to users with various psychological states and health conditions. This limitation arises primarily from the lack of personalization and adaptive content design. To address this, we propose MindfulVerse, an AI-Generated Content (AIGC)-driven application to create personalized and immersi…

HackWorld: Evaluating Computer-Use Agents on Exploiting Web Application Vulnerabilities
Xiaoxue Ren, Penghao Jiang, Kaixin Li, Zhiyong Huang, Xiaoning Du, Jiaojiao Jiang, Zhenchang Xing, Jiamou Sun, Terry Yue Zhuo
https://arxiv.org/abs/2510.12200

HackWorld: Evaluating Computer-Use Agents on Exploiting Web Application Vulnerabilities
Web applications are prime targets for cyberattacks as gateways to critical services and sensitive data. Traditional penetration testing is costly and expertise-intensive, making it difficult to scale with the growing web ecosystem. While language model agents show promise in cybersecurity, modern web applications demand visual understanding, dynamic content handling, and multi-step interactions that only computer-use agents (CUAs) can perform. Yet, their ability to discover and exploit vulnera…

NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints
Changyao Tian, Hao Li, Gen Luo, Xizhou Zhu, Weijie Su, Hanming Deng, Jinguo Zhu, Jie Shao, Ziran Zhu, Yunpeng Liu, Lewei Lu, Wenhai Wang, Hongsheng Li, Jifeng Dai
https://arxiv.org/abs/2510.08565 …

NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints
Compositional training has been the de-facto paradigm in existing Multimodal Large Language Models (MLLMs), where pre-trained vision encoders are connected with pre-trained LLMs through continuous multimodal pre-training. However, the multimodal scaling property of this paradigm remains difficult to explore due to the separated training. In this paper, we focus on the native training of MLLMs in an end-to-end manner and systematically study its design space and scaling property under a practica…