Tootfinder

Strongly polarised radio pulses from a new white-dwarf-hosting long-period transient / CHIME/Fast Radio Burst Discovery of an Unusual Circularly Polarized Long-period Radio #Transient with an Accelerating Spin Period: https://www.aanda.org/articles/aa/full_html/2025/07/aa55131-25/aa55131-25.html / https://iopscience.iop.org/article/10.3847/2041-8213/adeaab -> Astronomers uncover white dwarf system emitting bright radio pulses with strange rhythm: https://www.astron.nl/astronomers-uncover-white-dwarf-system-emitting-bright-radio-pulses-with-strange-rhythm/

Only a quarter of Americans say Trump’s policies have helped them, new poll finds | The Independent
https://www.independent.co.uk/news/world/americas/donald-trump-policies-poll-help-b2791332.html

From Points to Places: Towards Human Mobility-Driven Spatiotemporal Foundation Models via Understanding Places
Mohammad Hashemi, Andreas Zufle
https://arxiv.org/abs/2506.14570

From Points to Places: Towards Human Mobility-Driven Spatiotemporal Foundation Models via Understanding Places
Capturing human mobility is essential for modeling how people interact with and move through physical spaces, reflecting social behavior, access to resources, and dynamic spatial patterns. To support scalable and transferable analysis across diverse geographies and contexts, there is a need for a generalizable foundation model for spatiotemporal data. While foundation models have transformed language and vision, they remain limited in handling the unique challenges posed by the spatial, tempora…

"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…

Respekt.
„Schüler und Eltern sind am vergangenen Wochenende Zeugen der Angriffe auf das Vielfalt-Fest in #BadFreienwalde geworden. Von einer Aktionswoche wollten sie sich deshalb aber nicht abbringen lassen.“
„Elternsprecher Wolfram Schwelgin hat eigenen Angaben zufolge selbst einen Faustschlag von einem Angreifer abbekommen. Deshalb an der Schule die Pride Week abzusagen, sei…

DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance
Maximilian Du, Shuran Song
https://arxiv.org/abs/2506.13922 https://

DynaGuide: Steering Diffusion Polices with Active Dynamic Guidance
Deploying large, complex policies in the real world requires the ability to steer them to fit the needs of a situation. Most common steering approaches, like goal-conditioning, require training the robot policy with a distribution of test-time objectives in mind. To overcome this limitation, we present DynaGuide, a steering method for diffusion policies using guidance from an external dynamics model during the diffusion denoising process. DynaGuide separates the dynamics model from the base pol…

Trump's approval rating on immigration and government spending has slipped, new AP-NORC poll finds (Associated Press)
https://apnews.com/article/poll-trump-approval-policies-economy-health-immigration-45681b8cd07782ba7a143d323efe9dd7
http://www.memeorandum.com/250717/p137#a250717p137

Tutkimus paljastaa - ihminen elpyy tehokkaammin ikärakenteeltaan vanhemmissa metsissä https://www.luke.fi/fi/uutiset/tutkimus-paljastaa-ihminen-elpyy-tehokkaammin-ikarakenteeltaan-vanhemmissa-metsissa

Tutkimus paljastaa - ihminen elpyy tehokkaammin ikärakenteeltaan vanhemmissa metsissä

ATK: Automatic Task-driven Keypoint Selection for Robust Policy Learning
Yunchu Zhang, Shubham Mittal, Zhengyu Zhang, Liyiming Ke, Siddhartha Srinivasa, Abhishek Gupta
https://arxiv.org/abs/2506.13867

ATK: Automatic Task-driven Keypoint Selection for Robust Policy Learning
Visuomotor policies often suffer from perceptual challenges, where visual differences between training and evaluation environments degrade policy performance. Policies relying on state estimations, like 6D pose, require task-specific tracking and are difficult to scale, while raw sensor-based policies may lack robustness to small visual disturbances.In this work, we leverage 2D keypoints - spatially consistent features in the image frame - as a flexible state representation for robust policy le…

Latent Policy Steering with Embodiment-Agnostic Pretrained World Models
Yiqi Wang, Mrinal Verghese, Jeff Schneider
https://arxiv.org/abs/2507.13340 https:/…

Latent Policy Steering with Embodiment-Agnostic Pretrained World Models
Learning visuomotor policies via imitation has proven effective across a wide range of robotic domains. However, the performance of these policies is heavily dependent on the number of training demonstrations, which requires expensive data collection in the real world. In this work, we aim to reduce data collection efforts when learning visuomotor robot policies by leveraging existing or cost-effective data from a wide range of embodiments, such as public robot datasets and the datasets of huma…