Tootfinder

Rumble agrees to acquire German AI infrastructure company Northern Data in an up to $970M deal, set to close in Q2 2026; both companies are backed by Tether (Billy Gray/Wall Street Journal)
https://www.wsj.com/b…

Filing: Musk and X agree to settle a lawsuit by Twitter's ex-CEO Parag Agrawal, chief legal officer Vijaya Gadde, and others over $128M in unpaid severance (Jess Weatherbed/The Verge)
https://www.theverge.com/news/796239/elon-musk-x-128-milli…

Elon Musk will settle $128 million Twitter execs lawsuit
Elon Musk has agreed to settle with Twitter’s former top executives, after they sued the billionaire over more than $128 million in unpaid severance.

Curiosity-Driven Co-Development of Action and Language in Robots Through Self-Exploration
Theodore Jerome Tinker, Kenji Doya, Jun Tani
https://arxiv.org/abs/2510.05013 https://

Curiosity-Driven Co-Development of Action and Language in Robots Through Self-Exploration
Human infants acquire language and action co-developmentally, achieving remarkable generalization capabilities from only a minimal number of learning examples. In contrast, recent large language models require exposure to billions of training tokens to achieve such generalization. What mechanisms underlie such efficient developmental learning in humans? This study addresses this question through simulation experiments in which robots learn to perform various actions corresponding to imperative …

USA genehmigen Ukraine-Hilfen
Das US-Außenministerium hat den potenziellen Verkauf von Starlink-Diensten sowie von "Patriot"-Luftabwehrsystemen und zugehöriger Ausrüstung an die Ukraine genehmigt.
Die US-Regierung hatte sich mit ihren europäischen Verbündeten darauf geeinigt, die militärische Unterstützung für Kiew zu verstärken. Trotz der Genehmigung durch das US-Außenministerium ist unklar, ob entsprechende Verträge schon …
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Ukraine-Liveblog: ++ Erneut russische Drohnenangriffe ++
Nach ukrainischen Angaben hat Russland das Land erneut massiv angegriffen - aus der Region Saporischschja wird ein Toter gemeldet. Nach Angaben des Weißen Hauses hoffen die USA weiter auf ein Treffen von Putin und Selenskyj.

Take That for Me: Multimodal Exophora Resolution with Interactive Questioning for Ambiguous Out-of-View Instructions
Akira Oyama, Shoichi Hasegawa, Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi
https://arxiv.org/abs/2508.16143

Take That for Me: Multimodal Exophora Resolution with Interactive Questioning for Ambiguous Out-of-View Instructions
Daily life support robots must interpret ambiguous verbal instructions involving demonstratives such as ``Bring me that cup,'' even when objects or users are out of the robot's view. Existing approaches to exophora resolution primarily rely on visual data and thus fail in real-world scenarios where the object or user is not visible. We propose Multimodal Interactive Exophora resolution with user Localization (MIEL), which is a multimodal exophora resolution framework leveraging sound source loc…

Agora temos tudo quanto é mulher de presidente a mandar cartas, tš visto.
Ninguém elegeu nenhuma destas gajas, mas elas mandam cartas, como se isso servisse de alguma coisa.
Farto deste teatro ridículo.
O Erdogan é que devia puxar as orelhas ao mussolini laranja. Ou fazer mais que puxar orelhas.
https://

Return of the clocked burster GS~1826$-$238
Tomoshi Takeda, Toru Tamagawa, Teruaki Enoto, Wataru Iwakiri, Akira Dohi, Tatehiro Mihara, Hiromitsu Takahashi, Chin-Ping Hu, Amira Aoyama, Naoyuki Ota, Satoko Iwata, Takuya Takahashi, Kaede Yamasaki, Takayuki Kita, Soma Tsuchiya, Yosuke Nakano, Mayu Ichibakase, Nobuya Nishimura
https://arxiv.org…

Return of the clocked burster GS~1826$-$238
We report the discovery of an exceptionally short burst recurrence time in the well-known clocked burster GS~1826$-$238, observed with the CubeSat X-ray observatory NinjaSat. The source had remained in a persistent soft spectral state since its hard-to-soft transition in 2015 July until a soft-to-hard transition occurred in 2025 May. On 2025 June 23, NinjaSat began monitoring GS~1826$-$238 in the hard state and continued until the source returned to a steady soft state. During this period, we d…

Dynamics of Quantum Analogs of Classical Impact Oscillators
Arnab Acharya, Titir Mukherjee, Deepshikha Singh, Soumitro Banerjee
https://arxiv.org/abs/2509.12835 https://

Dynamics of Quantum Analogs of Classical Impact Oscillators
This paper investigates the dynamics of quantum analogs of classical impact oscillators to explore how complex nonlinear behaviors manifest in quantum systems. While classical impact oscillators exhibit chaos and bifurcations, quantum systems, governed by linear equations, appear to forbid such dynamics. Through simulations of unforced, forced, and dissipative quantum oscillators, we uncover quasiperiodicity, strange nonchaotic dynamics, and even chaos in the presence of dissipation. Using entr…

Toward Ownership Understanding of Objects: Active Question Generation with Large Language Model and Probabilistic Generative Model
Saki Hashimoto, Shoichi Hasegawa, Tomochika Ishikawa, Akira Taniguchi, Yoshinobu Hagiwara, Lotfi El Hafi, Tadahiro Taniguchi
https://arxiv.org/abs/2509.12754

Toward Ownership Understanding of Objects: Active Question Generation with Large Language Model and Probabilistic Generative Model
Robots operating in domestic and office environments must understand object ownership to correctly execute instructions such as ``Bring me my cup.'' However, ownership cannot be reliably inferred from visual features alone. To address this gap, we propose Active Ownership Learning (ActOwL), a framework that enables robots to actively generate and ask ownership-related questions to users. ActOwL employs a probabilistic generative model to select questions that maximize information gain, thereby …

Multi-Robot Task Planning for Multi-Object Retrieval Tasks with Distributed On-Site Knowledge via Large Language Models
Kento Murata, Shoichi Hasegawa, Tomochika Ishikawa, Yoshinobu Hagiwara, Akira Taniguchi, Lotfi El Hafi, Tadahiro Taniguchi
https://arxiv.org/abs/2509.12838

Multi-Robot Task Planning for Multi-Object Retrieval Tasks with Distributed On-Site Knowledge via Large Language Models
It is crucial to efficiently execute instructions such as "Find an apple and a banana" or "Get ready for a field trip," which require searching for multiple objects or understanding context-dependent commands. This study addresses the challenging problem of determining which robot should be assigned to which part of a task when each robot possesses different situational on-site knowledge-specifically, spatial concepts learned from the area designated to it by the user. We propose a task plannin…