Tootfinder

💊 This temporary tattoo could detect an unwanted drug in your drink
#wearables

This temporary tattoo could detect an unwanted drug in your drink
Researchers reporting in ACS Sensors have created a temporary tattoo sticker that has a hidden, but possibly lifesaving, purpose: detecting the presence of one drug used to "spike" alcoholic beverages and facilitate sexual assault. The sticker responds within 1 second to even low concentrations of the drug γ-hydroxybutyrate (GHB).

The Chicago-Kent, Illinois Tech IP Program cordially invites you to: "What’s the Skinny? Drug Labels and Patent Infringement," Tuesday, October 28, 2025 at 12-1 pm.
The panel is open to the public but please RSVP in advance here: https://

The Siren Song of LLMs: How Users Perceive and Respond to Dark Patterns in Large Language Models
Yike Shi (Diane), Qing Xiao (Diane), Qing (Diane), Hu, Hong Shen, Hua Shen
https://arxiv.org/abs/2509.10830

The Siren Song of LLMs: How Users Perceive and Respond to Dark Patterns in Large Language Models
Large language models can influence users through conversation, creating new forms of dark patterns that differ from traditional UX dark patterns. We define LLM dark patterns as manipulative or deceptive behaviors enacted in dialogue. Drawing on prior work and AI incident reports, we outline a diverse set of categories with real-world examples. Using them, we conducted a scenario-based study where participants (N=34) compared manipulative and neutral LLM responses. Our results reveal that recog…

Leaked letter: WaPo said it fired Karen Attiah for "gross misconduct", including Bluesky posts "about white men in response to the killing of Charlie Kirk" (Oliver Darcy/Status)
https://www.status.news/p/karen-attiah-fired-washington-post-charlie…

Fired By The Post
The Washington Post said it fired Karen Attiah over comments she made about white men in the wake of Charlie Kirk’s death, Status has learned.

Boosted dark matter versus dark matter-induced neutrinos from single and stacked blazars
Andrea Giovanni De Marchi, Alessandro Granelli, Filippo Sala, Jacopo Nava
https://arxiv.org/abs/2507.12278

Boosted dark matter versus dark matter-induced neutrinos from single and stacked blazars
The physics responsible for the production of observed high-energy neutrinos have not been established so far, neither for the diffuse astrophysical ones nor for those detected from single blazars. We recently proposed that both could be explained by deep inelastic scatterings between sub-GeV dark matter (DM) around blazars and protons within their jets. Here, we compute the proton-recoil signals at the neutrino detectors Super-Kamiokande, KamLAND, Borexino, JUNO, Hyper-Kamiokande and DUNE indu…

Multitask finetuning and acceleration of chemical pretrained models for small molecule drug property prediction
Matthew Adrian, Yunsie Chung, Kevin Boyd, Saee Paliwal, Srimukh Prasad Veccham, Alan C. Cheng
https://arxiv.org/abs/2510.12719

Multitask finetuning and acceleration of chemical pretrained models for small molecule drug property prediction
Chemical pretrained models, sometimes referred to as foundation models, are receiving considerable interest for drug discovery applications. The general chemical knowledge extracted from self-supervised training has the potential to improve predictions for critical drug discovery endpoints, including on-target potency and ADMET properties. Multi-task learning has previously been successfully leveraged to improve predictive models. Here, we show that enabling multitasking in finetuning of chemic…

scPPDM: A Diffusion Model for Single-Cell Drug-Response Prediction
Zhaokang Liang, Shuyang Zhuang, Xiaoran Jiao, Weian Mao, Hao Chen, Chunhua Shen
https://arxiv.org/abs/2510.11726

scPPDM: A Diffusion Model for Single-Cell Drug-Response Prediction
This paper introduces the Single-Cell Perturbation Prediction Diffusion Model (scPPDM), the first diffusion-based framework for single-cell drug-response prediction from scRNA-seq data. scPPDM couples two condition channels, pre-perturbation state and drug with dose, in a unified latent space via non-concatenative GD-Attn. During inference, factorized classifier-free guidance exposes two interpretable controls for state preservation and drug-response strength and maps dose to guidance magnitude…

Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight
Jingyu Tang, Chaoran Chen, Jiawen Li, Zhiping Zhang, Bingcan Guo, Ibrahim Khalilov, Simret Araya Gebreegziabher, Bingsheng Yao, Dakuo Wang, Yanfang Ye, Tianshi Li, Ziang Xiao, Yaxing Yao, Toby Jia-Jun Li
https://arxiv.org/abs/…

Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight
The dark patterns, deceptive interface designs manipulating user behaviors, have been extensively studied for their effects on human decision-making and autonomy. Yet, with the rising prominence of LLM-powered GUI agents that automate tasks from high-level intents, understanding how dark patterns affect agents is increasingly important. We present a two-phase empirical study examining how agents, human participants, and human-AI teams respond to 16 types of dark patterns across diverse scenario…

A Roadmap for Climate-Relevant Robotics Research
Alan Papalia, Charles Dawson, Laurentiu L. Anton, Norhan Magdy Bayomi, Bianca Champenois, Jung-Hoon Cho, Levi Cai, Joseph DelPreto, Kristen Edwards, Bilha-Catherine Githinji, Cameron Hickert, Vindula Jayawardana, Matthew Kramer, Shreyaa Raghavan, David Russell, Shide Salimi, Jingnan Shi, Soumya Sudhakar, Yanwei Wang, Shouyi Wang, Luca Carlone, Vijay Kumar, Daniela Rus, John E. Fernandez, Cathy Wu, George Kantor, Derek Young, Hanumant Sin…

A Roadmap for Climate-Relevant Robotics Research
Climate change is one of the defining challenges of the 21st century, and many in the robotics community are looking for ways to contribute. This paper presents a roadmap for climate-relevant robotics research, identifying high-impact opportunities for collaboration between roboticists and experts across climate domains such as energy, the built environment, transportation, industry, land use, and Earth sciences. These applications include problems such as energy systems optimization, construct…

“The spread of dangerous infections that do not respond to antibiotics has been increasing by
as much as 15 percent a year”,
says the WHO.
“The less people have access to quality care,
the more they’re likely to suffer from drug-resistant infection.”
https://kottke.org/25/10/0047706-th…