Tootfinder

14 Russian drones entered Poland's airspace in the southeast of the country, ~250 km from Warsaw. Visible on the map are the Ukrainian cities Lviv and Lutsk.
https://bsky.app/profile/euanmacdonald.bsky.social/post/3lyhfpbbryk2w

Euan MacDonald (@euanmacdonald.bsky.social)
Map showing reported Russian drone incursions into Poland. Does not look random (14 drones): It looks like a deliberate attempt by fascist Russia to test NATO air defenses over a part of Polish territory used as a transit point for Western aid to democratic Ukraine.

Nathan Calvin, general counsel of AI safety nonprofit Encode, says OpenAI used intimidation tactics to undermine California's SB 53 while it was being debated (Sharon Goldman/Fortune)
https://fortune.com/2025/10/1…

A 3-person policy nonprofit that worked on California’s AI safety law is publicly accusing OpenAI of intimidation tactics
In a widely read post on social media, the general counsel of Encode said OpenAI used subpoenas and political muscle to intimidate the firm and to undermine California’s new AI safety bill, all while falsely claiming the firm was funded by Elon Musk.

in sf i used this guy who came to wash my car on the street, it was a monthly subscription and it was great, i probably had it for more than a year. he sent out an email that his business had to be shut down without reasons, but he just sent this out detailing his experience getting ICE’d and shit. so fucked.

Improving Machine Learning-Based Robot Self-Collision Checking with Input Positional Encoding
Bartlomiej Kulecki, Dominik Belter
https://arxiv.org/abs/2509.07542 https://…

Improving Machine Learning-Based Robot Self-Collision Checking with Input Positional Encoding
This manuscript investigates the integration of positional encoding -- a technique widely used in computer graphics -- into the input vector of a binary classification model for self-collision detection. The results demonstrate the benefits of incorporating positional encoding, which enhances classification accuracy by enabling the model to better capture high-frequency variations, leading to a more detailed and precise representation of complex collision patterns. The manuscript shows that mac…

On the Determination of Collisional Stopping Power via Kaluza-Klein Theory
Seyda Elife G\"on\"ul, Huriye G\"ursel
https://arxiv.org/abs/2508.05701 https://…

On the Determination of Collisional Stopping Power via Kaluza-Klein Theory
In this work, the tools of general relativity are used to analytically derive collisional stopping power. We start from a Kaluza-Klein inspired, five-dimensional diffeomorphism-invariant action, and upon compactification, obtain a four-dimensional effective theory in which the matter fields are treated to be brane-localized. The medium response to the projected electron is encoded in symmetric tensor fields coupled covariantly to both electromagnetic and fermionic parts via Lagrangian-derived i…

Progressive Facial Granularity Aggregation with Bilateral Attribute-based Enhancement for Face-to-Speech Synthesis
Yejin Jeon, Youngjae Kim, Jihyun Lee, Hyounghun Kim, Gary Geunbae Lee
https://arxiv.org/abs/2509.07376

Progressive Facial Granularity Aggregation with Bilateral Attribute-based Enhancement for Face-to-Speech Synthesis
For individuals who have experienced traumatic events such as strokes, speech may no longer be a viable means of communication. While text-to-speech (TTS) can be used as a communication aid since it generates synthetic speech, it fails to preserve the user's own voice. As such, face-to-voice (FTV) synthesis, which derives corresponding voices from facial images, provides a promising alternative. However, existing methods rely on pre-trained visual encoders, and finetune them to align with speec…

Computational Redistricting of Iowa's Congressional Districts
Stefanie G. Wang, Nathaniel C. Merrill
https://arxiv.org/abs/2508.05848 https://arxiv.org…

Computational Redistricting of Iowa's Congressional Districts
This article expands on the redistricting algorithm proposed by Chen and Rodden (2015) for states with fewer than eight congressional districts, populations highly concentrated in urban areas, or state laws that require preservation of county lines. We used the updated algorithm to redistrict Iowa's four congressional districts. Non-partisan, randomly drawn maps were used to evaluate the fairness of the enacted congressional map. Notably, the evidence suggests that the first proposed map drawn …

MolGA: Molecular Graph Adaptation with Pre-trained 2D Graph Encoder
Xingtong Yu, Chang Zhou, Xinming Zhang, Yuan Fang
https://arxiv.org/abs/2510.07289 https://

MolGA: Molecular Graph Adaptation with Pre-trained 2D Graph Encoder
Molecular graph representation learning is widely used in chemical and biomedical research. While pre-trained 2D graph encoders have demonstrated strong performance, they overlook the rich molecular domain knowledge associated with submolecular instances (atoms and bonds). While molecular pre-training approaches incorporate such knowledge into their pre-training objectives, they typically employ designs tailored to a specific type of knowledge, lacking the flexibility to integrate diverse knowl…

Concentration structures on categories and horizontal categorification
Yangxiao Luo, Shunyu Wan
https://arxiv.org/abs/2510.07553 https://arxiv.org/pdf/2510…

Concentration structures on categories and horizontal categorification
We introduce a theory for encoding and manipulating algebraic data on categories via $\textit{concentration structures}$, which are equivalence relations on morphisms that satisfy certain axioms. For any category with a concentration structure we can functorially construct a $\textit{concentration monoid}$, which can be used to give a precise definition of horizontal categorification and decategorification. Moreover, by studying concentration structures on fundamental groupoids, we show that ev…

Researchers built the largest Type Ia supernova dataset ever and found a hint that dark energy might evolve over time.
If confirmed, it would be a dramatic departure from Einstein’s cosmological constant.
Type Ia supernovae let us precisely measure cosmic distances and gave us the first evidence of the universe’s accelerating expansion.
Researchers from the Supernova Cosmology Project used a new approach to standardize 2,087 supernovae from different experiments, enabling …

Super Set of Supernovae Suggests Dark Energy Surprise
Researchers built the largest Type Ia supernova dataset ever and found a hint that dark energy might evolve over time. If confirmed, it would be a dramatic departure from Einstein’s cosmological constant.