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#WhatIsTheAirspeedOfAnUnlandenSwallow

SciVideoBench: Benchmarking Scientific Video Reasoning in Large Multimodal Models
Andong Deng, Taojiannan Yang, Shoubin Yu, Lincoln Spencer, Mohit Bansal, Chen Chen, Serena Yeung-Levy, Xiaohan Wang
https://arxiv.org/abs/2510.08559

SciVideoBench: Benchmarking Scientific Video Reasoning in Large Multimodal Models
Large Multimodal Models (LMMs) have achieved remarkable progress across various capabilities; however, complex video reasoning in the scientific domain remains a significant and challenging frontier. Current video benchmarks predominantly target general scenarios where perception/recognition is heavily relied on, while with relatively simple reasoning tasks, leading to saturation and thus failing to effectively evaluate advanced multimodal cognitive skills. To address this critical gap, we intr…

hstf = homeland security task force
https://mastodon.social/@botgov/115667864265641978

More than a feeling: Expressive style influences cortical speech tracking in subjective cognitive decline
Matthew King-Hang Ma, Manson Cheuk-Man Fong, Yun Feng, Cloris Pui-Hang Li, William Shiyuan Wang
https://arxiv.org/abs/2509.21277

More than a feeling: Expressive style influences cortical speech tracking in subjective cognitive decline
Subjective cognitive decline (SCD) approximately doubles the risk of progressing to MCI and dementia. The present study investigates how one's subjective concerns of his/her own cognition are manifested in the neural dynamics during speech perception. EEG was collected from 56 Cantonese, cognitively normal older adults (aged 60 - 70) while they listened to stimuli of four expressive styles that varied in prosody: scrambled, descriptive, dialogue, and exciting. Using encoding models to predict E…

"A confusing contradiction is unfolding in companies embracing generative AI tools: while workers are largely following mandates to embrace the technology, few are seeing it create real value. [...] In collaboration with Stanford Social Media Lab, our research team at BetterUp Labs has identified one possible reason: Employees are using AI tools to create low-effort, passable looking work that ends up creating more work for their coworkers."
"Unlike this mental outsourc…

AI-Generated “Workslop” Is Destroying Productivity
Despite a surge in generative AI use across workplaces, most companies are seeing little measurable ROI. One possible reason is because AI tools are being used to produce “workslop”—content that appears polished but lacks real substance, offloading cognitive labor onto coworkers. Research from BetterUp Labs and Stanford found that 41% of workers have encountered such AI-generated output, costing nearly two hours of rework per instance and creating downstream productivity, trust, and colla…

👁️ Natural brain opioids help us 'see the bigger picture' after rewards
#bran

Natural brain opioids help us 'see the bigger picture' after rewards
Feeling good doesn't just lift our mood—it also helps us stay flexible and resilient. A new study by an international team of neuroscientists shows that natural brain opioids released after rewards play a key role in broadening attention, offering fresh insights into stress, cognition, and well-being.

LTA-thinker: Latent Thought-Augmented Training Framework for Large Language Models on Complex Reasoning
Jiaqi Wang, Binquan Ji, Haibo Luo, Yiyang Qi, Ruiting Li, Huiyan Wang, Yuantao Han, Cangyi Yang, jiaxu Zhang, Feiliang Ren
https://arxiv.org/abs/2509.12875

LTA-thinker: Latent Thought-Augmented Training Framework for Large Language Models on Complex Reasoning
Complex Reasoning in Large Language Models can be dynamically optimized using Test-Time Scaling (TTS) to mitigate Overthinking. Methods such as Coconut, SoftCoT and its variant are effective in continuous latent space inference, the core bottleneck still lies in the efficient generation and utilization of high-quality Latent Thought. Drawing from the theory of SoftCoT++ that a larger variance in the generated Latent Thought distribution more closely approximates the golden truth distribution, w…