Tootfinder

Tencent raised ~$5.7B via US dollar and offshore yuan debt offerings, drawing $23B in orders; source: it had initially been expected to raise at least $4.5B (Reuters)
https://www.reuters.com/world/asia-pacific/tencent-markets-us-d…

Made a #homeManager module to set #XFCE keyboard shortcuts. Simple, you might think, just set some xfconf.settings, right? Wrong, not enough! Apparently, XFCE can only ever have a *single* keyboard shortcut perform one specific action (such as window tiling operations), so you need to comb through the …

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/2]:
- Data-driven Head Motion Generation through Natural Gaze-Head Coordination
Xiaohan Liu, Yilin Wen, Yusuke Sugano
https://arxiv.org/abs/2605.25810
- TRIBE: Predicting Team Performance via Communication Behavior Ensembles
Ali Jalal-Kamali, Nikolos Gurney, David V. Pynadath, Fred Morstatter
https://arxiv.org/abs/2608.06926 https://mastoxiv.page/@arXiv_csAI_bot/117070249873784432
- Comprendia: AI-Augmented Code Comprehension
Costain Nachuma, Minhaz F. Zibran
https://arxiv.org/abs/2608.10290 https://mastoxiv.page/@arXiv_csSE_bot/117081500356613109
- Neural implants and human safety: single-fault detection for DC-coupled recording front ends
Dimitris Antoniadis, Timothy Constandinou
https://arxiv.org/abs/2608.10361 https://mastoxiv.page/@arXiv_eessSP_bot/117081505896378998
- A Neural Network Based Teleoperation for Remote Controlled Vehicles
Ning Ding, Azim Eskandarian
https://arxiv.org/abs/2608.10367 https://mastoxiv.page/@arXiv_csRO_bot/117081440193257425
- Leveraging Human Reading Behavior for Keyphrase Extraction: A Webcam-based Eye-tracking Corpus
Chengzhi Zhang, Xinyi Yan, Wenqi Yu
https://arxiv.org/abs/2608.10688 https://mastoxiv.page/@arXiv_csCL_bot/117081592176417112
- Your LLM, Your Style: Behavioral Mode Axes for LLM Behavioral Control
Haoze Liu, Run Liu, Haiying Xu, Jiahui Han, Siyuan Fang, Siyu Yan, Huiqi Deng, Guanchu Wang, Na Zou
https://arxiv.org/abs/2608.10703 https://mastoxiv.page/@arXiv_csLG_bot/117081615179660277
- The GENEA Challenge 2026: A Large-Scale Disentangled Evaluation of Speech-Driven Gesture Generati...
Nagy, Garc\'ia, Voss, Tsakov, Kucherenko, Yoon, Henter
https://arxiv.org/abs/2608.10839 https://mastoxiv.page/@arXiv_csCV_bot/117081628353061346
- Auditable AI-Assisted Research Writing: An Engineering Discipline with Pre-Registered Process Obs...
Yang Zhou, Chengqun Yu
https://arxiv.org/abs/2608.10858
- R4DSG: Relative 4D Scene Graph Memory for Object-Centric Question Answering in Long Egocentric Video
Ke Ma, Yamin Mao, Weiming Li, Shuai Tan, Yijie Zhong, Hao Chen, Haofen Wang, Meng Wang
https://arxiv.org/abs/2608.11017 https://mastoxiv.page/@arXiv_csCV_bot/117081647623530374
toXiv_bot_toot

Crosslisted article(s) found for math.ST. https://arxiv.org/list/math.ST/new
[1/1]:
- Stable convergence of partial sum processes towards discontinuous limits
Johannes Brutsche
https://arxiv.org/abs/2608.12740 https://mastoxiv.page/@arXiv_mathPR_bot/117092840163122403
- Bayesian Inference Procedures for A/B Testing: An Overview
M{\aa}rten Schultzberg, Mattias Fr{\aa}nberg
https://arxiv.org/abs/2608.12949 https://mastoxiv.page/@arXiv_statME_bot/117092799825341949
- Estimation of distribution functions, their jumps and interval probabilities under measurement error
Kairat Mynbaev, Carlos Martins-Filho, Chad Brown
https://arxiv.org/abs/2608.13152 https://mastoxiv.page/@arXiv_econEM_bot/117092724945077876
- Extreme principal minors of Wishart and deformed GOE matrices
Zhanrui Dong, Tiefeng Jiang, Tuan Pham, Jianfeng Yao
https://arxiv.org/abs/2608.13154 https://mastoxiv.page/@arXiv_mathPR_bot/117092881421641444
- Sinkhorn Linearization and the Spectral Proxy: Unifying the Statistical and Algorithmic Theory of...
Han Dong, Jiaming Li, Yongqiang Gong, Ruixi Li, Yin Liu
https://arxiv.org/abs/2608.13201 https://mastoxiv.page/@arXiv_statML_bot/117092803789923153
- Weighted cumulative past inaccuracy and Kullback-Leibler divergence based on extropy: properties,...
Bighneswar Sahoo, Suchandan Kayal
https://arxiv.org/abs/2608.13363 https://mastoxiv.page/@arXiv_statME_bot/117092858417590746
- Nearly sharp comparison results for sliced and max-sliced Wasserstein distances
Jonathan Niles-Weed, Jacob Shkrob
https://arxiv.org/abs/2608.13374 https://mastoxiv.page/@arXiv_mathPR_bot/117092901477246948
- Theoretical Properties of Covariate-Adaptive Randomization with a Diverging Number of Covariates
Yuhang Tao, Li-Xin Zhang
https://arxiv.org/abs/2608.13442 https://mastoxiv.page/@arXiv_statME_bot/117092865494823071
- The data geometry of masking diffusion: Certified-optimal schedules via unmasking growth complexity
Martin J. Wainwright
https://arxiv.org/abs/2608.13520 https://mastoxiv.page/@arXiv_csLG_bot/117092942960850473
toXiv_bot_toot

@… Ja przechowuje zmienne/ścieżki w .envrc (czy tam .env) i mam ten pliczek w .gitignore. Potem przed użyciem go zaczytywałem, a ostatnio używam https://direnv.net/ i samo się zaczytuje.

Why Do Prefetchers Fail? Let Agents Answer
Xiangfeng Sun, Ceyu Xu, Ningzhi Ai, Zeyu Zhu, Yiyang Yuan, Yuan Xie
https://arxiv.org/abs/2608.13027 https://arxiv.org/pdf/2608.13027 https://arxiv.org/html/2608.13027
arXiv:2608.13027v1 Announce Type: new
Abstract: Hardware prefetchers are crucial to processor performance, yet their design remains labor-intensive and expert-driven. Architects inspect execution and memory-access traces, identify patterns, translate them into online hardware heuristics, and evaluate them in simulation, often with no guarantee of improvement. Human experts cannot systematically inspect billion-instruction traces across diverse real-world workloads.
We present a performance-anomaly-driven autoresearch flow that repeatedly asks why a deployed prefetcher fails and uses the diagnoses to construct the Mixture of Prefetchers (MoP). Each iteration localizes high-impact unexplained misses to program counters, gives agents hardware logs, source code, and sliced traces, validates diagnoses through runnable minimal cases, and synthesizes specialized sub-prefetchers for recurring pattern families. Measured performance and remaining anomalies feed subsequent iterations, enabling simulator-in-the-loop discovery beyond model priors.
The campaign consumes 1.91 billion DeepSeek V4 Pro tokens. On SPEC CPU2006 and SPEC CPU2017, MoP achieves a 61.1% geomean IPC speedup over no prefetching, outperforming the human-designed Alecto, Berti, and Pythia prefetchers by 14.5%, 21.6%, and 23.6%, respectively. RTL synthesis in a 6nm library reports 110 KB of on-chip storage and 0.0347 mm^2 area. To our knowledge, this is the first empirical demonstration that an agent-driven hardware-design process can produce an RTL-practical prefetcher that outperforms state-of-the-art human designs on unseen workloads.
toXiv_bot_toot

I have a hard time remembering that Fedora uses something called DNF to update itself. What does DNF stand for, I wondered? "Dandified YUM". YUM is Yellowdog Updater, Modified", an evolution of YUP which was some PowerPC thing.
Actually it's all just RPM.

Noni, vihdoinkin sieniäkin reippaammin kuin muutaman kpl. 😁
Just sain kerättyä sienet ja huomasin houkuttelevan vadelmapuskan jota rupesin keräämään niin tuli sadetta niskaan ja kovaa niin kuin lupasivat.. siinä sai sitten suihkun kotimatkalla :'D
Hernestämään en kerennyt, huomenna sit niitä vadelmia ja herneitä.. toivottavasti.
#sienestys

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/2]:
- Music Interpretation and Emotion Perception: A Computational and Neurophysiological Investigation
Lyberatos, Kantarelis, Zioga, Anagnostopoulou, Stamou, Georgaki
https://arxiv.org/abs/2506.01982 https://mastoxiv.page/@arXiv_csHC_bot/114623887921808883
- Selective Prediction Reduces the Negative Effects of Automation Bias Overall but Increases False ...
Jabbour, Fouhey, Banovic, Shepard, Kazerooni, Sjoding, Wiens
https://arxiv.org/abs/2508.07617 https://mastoxiv.page/@arXiv_csHC_bot/115015501954907821
- Sighted by Default: Addressing Implicit Vision Assumptions in Real-Time VLM Assistance for BLV Users
Yi Zhao, Siqi Wang, Qiqun Geng, Erxin Yu, Jing Li
https://arxiv.org/abs/2511.00945 https://mastoxiv.page/@arXiv_csHC_bot/115490927925171769
- UXCascade: Scalable Usability Testing with Simulated User Agents
Steffen Holter, Eunyee Koh, Mustafa Doga Dogan, Gromit Yeuk-Yin Chan
https://arxiv.org/abs/2601.15777 https://mastoxiv.page/@arXiv_csHC_bot/115943802965989174
- Does Explanation Correctness Matter? Linking Computational XAI Evaluation to Human Understanding
Gregor Baer, Chao Zhang, Isel Grau, Pieter Van Gorp
https://arxiv.org/abs/2603.25251 https://mastoxiv.page/@arXiv_csHC_bot/116300187728326082
- Beyond Screenshots: Evaluating VLMs' Understanding of UI Animations
Chen Liang, Xirui Jiang, Naihao Deng, Eytan Adar, Anhong Guo
https://arxiv.org/abs/2604.26148 https://mastoxiv.page/@arXiv_csHC_bot/116492495199874264
- Quieting the Cobwebs: Browser Interaction for Visual Floaters
Kenneth Ge, Jinglin Li, Shikhar Ahuja
https://arxiv.org/abs/2605.12739 https://mastoxiv.page/@arXiv_csHC_bot/116571803728109358
- Patients With Personality: Realistic Patient Simulation through Controlled Diversity and Selectiv...
Moritz Schlager, et al.
https://arxiv.org/abs/2606.17441 https://mastoxiv.page/@arXiv_csHC_bot/116764285920198987
- TailVis: Expressive Chart Refinement Preserving Data-Binding Integrity
Yumin Song, Seokhyeon Park, Soohyun Lee, Aeri Cho, Hyeon Jeon, John Joon Young Chung, Jinwook Seo
https://arxiv.org/abs/2607.25386 https://mastoxiv.page/@arXiv_csHC_bot/117002258150815192
- How Usable Are Geospatial Foundation Models? A Systematic Evaluation of 89 Models
Robin Young, Artyom Gabtraupov, Kenzy Soror, Srinivasan Keshav
https://arxiv.org/abs/2608.03804 https://mastoxiv.page/@arXiv_csHC_bot/117041905504697955
toXiv_bot_toot

Patreon co-founder Sam Yam says he is joining OpenAI to lead Creator Product, alongside Patreon's Head of Product Drew Rowny and Head of Engineering Shannon Ma (Sam Yam/@samyamiam)
https://x.com/samyamiam/status/2102503574492332141