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Turkistarhaus Suomessa #eläinoikeudet

Turkistarhaus Suomessa | Oikeutta eläimille
Oikeutta eläimille -yhdistys on julkaissut kuvia ja videoita yli sadalta suomalaiselta turkistarhalta – yli 10 % maamme turkistarhoista. Ahtaat häkit, virikkeettömyys, silmätulehdukset, ienongelmat ja vammautuneet eläimet ovat arkipäivää tarhoilla. Viime vuosina yhdistyksen julkaisemat kuvat ylijalostetuista "hirviö"ketuista sekä "kannibaali"minkeistä ovat levinneet tiedotusvälineisiin ympäri maailman.

Off-Trajectory Reasoning: Can LLMs Collaborate on Reasoning Trajectory?
Aochong Oliver Li, Tanya Goyal
https://arxiv.org/abs/2510.06410 https://arxiv.org/p…

Off-Trajectory Reasoning: Can LLMs Collaborate on Reasoning Trajectory?
Reasoning LLMs are trained to verbalize their reasoning process, yielding strong gains on complex tasks. This transparency also opens a promising direction: multiple reasoners can directly collaborate on each other's thinking within a shared trajectory, yielding better inference efficiency and exploration. A key prerequisite, however, is the ability to assess the usefulness and build on another model's partial thinking -- we call this off-trajectory reasoning. Our paper investigates a critical …

Employees regularly paste company secrets into ChatGPT
https://www.theregister.com/2025/10/07/gen_ai_shadow_it_secrets/

Employees regularly paste company secrets into ChatGPT
: Microsoft Copilot, not so much

Marshawn Kneeland’s Family Speaks After Tragic Death: ‘We Are Devastated,’ At Tributes Continue to Pour In https://heavy.com/sports/nfl/dallas-cowboys/marshawn-kneelands-family-speaks-tragic-death/?adt_ei=[email]

Zero-shot 3D-Aware Trajectory-Guided image-to-video generation via Test-Time Training
Ruicheng Zhang, Jun Zhou, Zunnan Xu, Zihao Liu, Jiehui Huang, Mingyang Zhang, Yu Sun, Xiu Li
https://arxiv.org/abs/2509.06723

Zero-shot 3D-Aware Trajectory-Guided image-to-video generation via Test-Time Training
Trajectory-Guided image-to-video (I2V) generation aims to synthesize videos that adhere to user-specified motion instructions. Existing methods typically rely on computationally expensive fine-tuning on scarce annotated datasets. Although some zero-shot methods attempt to trajectory control in the latent space, they may yield unrealistic motion by neglecting 3D perspective and creating a misalignment between the manipulated latents and the network's noise predictions. To address these challenge…

ZLATTE: A Geometry-Aware, Learning-Free Framework for Language-Driven Trajectory Reshaping in Human-Robot Interaction
Junhui Huang, Yuhe Gong, Changsheng Li, Xingguang Duan, Luis Figueredo
https://arxiv.org/abs/2509.06031

ZLATTE: A Geometry-Aware, Learning-Free Framework for Language-Driven Trajectory Reshaping in Human-Robot Interaction
We present ZLATTE, a geometry-aware, learning-free framework for language-driven trajectory reshaping in human-robot interaction. Unlike prior learning-based methods, ZLATTE leverages Vision-Language Models to register objects as geometric primitives and employs a Large Language Model to translate natural language instructions into explicit geometric and kinematic constraints. These constraints are integrated into a potential field optimization to adapt initial trajectories while preserving fea…

Euroopan suurin turkisten tuottajamaa Puola kieltää turkistarhauksen https://animalia.fi/2025/12/02/euroopan-suurin-turkisten-tuottajamaa-puola-kieltaa-turkistarhauksen/

Euroopan suurin turkisten tuottajamaa Puola kieltää turkistarhauksen - Animalia
Puolassa hyväksyttiin laki, joka kieltää turkistarhauksen vuonna 2033. Puola on Euroopan suurin ja maailman toiseksi suurin turkistuottajamaa.

Spagnola: Tragic loss strikes everyone’s souls https://www.dallascowboys.com/news/spagnola-tragic-loss-strikes-everyone-s-souls

StaR-KVQA: Structured Reasoning Traces for Implicit-Knowledge Visual Question Answering
Zhihao Wen, Wenkang Wei, Yuan Fang, Xingtong Yu, Hui Zhang, Weicheng Zhu, Xin Zhang
https://arxiv.org/abs/2510.06638

StaR-KVQA: Structured Reasoning Traces for Implicit-Knowledge Visual Question Answering
Knowledge-based Visual Question Answering (KVQA) requires models to ground entities in images and reason over factual knowledge. We study its implicit-knowledge variant, IK-KVQA, where a multimodal large language model (MLLM) is the sole knowledge source, without external retrieval. Yet, MLLMs lack explicit reasoning supervision and produce inconsistent justifications, and generalize poorly after standard supervised fine-tuning (SFT). We present StaR-KVQA (Structured Reasoning Traces for IK-KVQ…

Spagnola: Tragic loss strikes everyone’s souls https://www.dallascowboys.com/news/spagnola-tragic-loss-strikes-everyone-s-souls