Tootfinder

Stefanski stresses continued improvement for Sanders after successful 1st start for Browns https://www.foxsports.com/articles/nfl/stefanski-stresses-continued-improvement-for-sanders-after-successful-1st-start-for-br…

#LinkedIn will ab dem 3. November Eure personenbezogenen Daten und Inhalte verwenden, um generative KI-Modelle von LinkedIn zu schulen.
Hier könnt ihr widersprechen.
https://www.linkedin.com/m…

Dak Prescott speaks on development since last time he played Broncos https://www.si.com/nfl/cowboys/news/dak-prescott-speaks-development-since-last-time-played-denver-broncos

Flacco puts on a classic, plus: Dart's improvement, Week 7's key matchups https://www.nytimes.com/athletic/6726728/2025/10/17/flacco-puts-on-a-classic-plus-darts-improvement-week-7s-key-matchups/

Game Recap: Raiders show improvement and grit in narrow loss to Texans https://www.raiders.com/news/game-recap-raiders-show-improvement-and-grit-in-narrow-loss-to-texans

"The student’s education then becomes not a victory for their own self-improvement or -enrichment, but rather that the teacher conquered the student’s presumed inherent laziness, shiftiness, etc. to instill some kernel of a lesson."
#FediLZ
@…

Speaking of kids, here if a kid who is building a nostr gaming system.
Not by vibe coding, by learning how to use unity.
Gamestr.io is the marketplace he's building. Submitting a protocol improvement proposal for gaming types.
His gaming market is first going to feature a Tetris clone that broadcasts scores as that new type.
Talented kid named Sam.
#nostr #gamestr #nostrshire

When I first bought my property, I was a little bit overwhelmed by all the things that needed to be done. I inherited the property from a tenancy that didn't exactly take care of the place. But, I've managed to take on projects I had my hesitations about, and so far it's been a success with help of course. My latest project is to install wire for a surround sound system and a fiber optic hdmi cable from my computer in my office. It's nice having a home improvement plan go off…

@… @… so insightful. As a plodding piano player who only plays for myself, the "goal" is hard to define, but I do see show improvement lol

Gemini 3 hands-on: a fundamental improvement on daily use, extremely fast, Antigravity IDE is a powerful launch product, and its personality is terse and direct (matt shumer)
https://shumer.dev/gemini3review

My Gemini 3 Review
Hands-on Gemini 3 review: A look at performance, capabilities, and how it feels to use compared to GPT-5.1.

from my link log —
Performance improvement on front-end generated by rustdoc.
https://blog.guillaume-gomez.fr/articles/2021-01-22 Performance improvement on front-end generated by rustdoc
saved 2021-01-28

Performance improvement on front-end generated by rustdoc
Blog of Guillaume Gomez (Performance improvement on front-end generated by rustdoc)

Definite improvement over yesterday. #Wordle
Wordle 1 645 5/6
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3 areas where Cowboys must show improvement in to win in Week 7 include early run downs https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/10/16/3-areas-cowboys-need-improvement-week-7/86682085007/

Brave did update by the way, about 6 hours after us this time, which is a vast improvement on how quickly they responded to the zero day! 😜
https://social.vivaldi.net/@browserversiontracker/115736917086316940

TIL that in 1563, Queen Elizabeth originated the practice of taxing the rich to benefit the poor -- a stark improvement over previous laws that simply sought to punish unemployment.

Self-Improvement in Multimodal Large Language Models: A Survey
Shijian Deng, Kai Wang, Tianyu Yang, Harsh Singh, Yapeng Tian
https://arxiv.org/abs/2510.02665 https://

Self-Improvement in Multimodal Large Language Models: A Survey
Recent advancements in self-improvement for Large Language Models (LLMs) have efficiently enhanced model capabilities without significantly increasing costs, particularly in terms of human effort. While this area is still relatively young, its extension to the multimodal domain holds immense potential for leveraging diverse data sources and developing more general self-improving models. This survey is the first to provide a comprehensive overview of self-improvement in Multimodal LLMs (MLLMs). …

Did some small improvement to the @… bot: Starting from tomorrow it should now also show the user names for the images uploaded to the @… instance.

@… https://cosmicchambo.substack.com/

VØID CONTEMPLATION TACTICS | Daniel Chamberlin | Substack
Inter-Dimensional Music FM, Basking in Gravity, and Non-Self Improvement. Click to read VØID CONTEMPLATION TACTICS, a Substack publication.

Agent-in-the-Loop: A Data Flywheel for Continuous Improvement in LLM-based Customer Support
Cen (Mia), Zhao (Wayne), Tiantian Zhang (Wayne), Hanchen Su (Wayne), Yufeng (Wayne), Zhang (Elaine), Shaowei Su (Elaine), Mingzhi Xu (Elaine), Yu (Elaine), Liu, Wei Han, Jeremy Werner, Claire Na Cheng, Yashar Mehdad
https://arxiv.org/abs/2510.0…

Agent-in-the-Loop: A Data Flywheel for Continuous Improvement in LLM-based Customer Support
We introduce an Agent-in-the-Loop (AITL) framework that implements a continuous data flywheel for iteratively improving an LLM-based customer support system. Unlike standard offline approaches that rely on batch annotations, AITL integrates four key types of annotations directly into live customer operations: (1) pairwise response preferences, (2) agent adoption and rationales, (3) knowledge relevance checks, and (4) identification of missing knowledge. These feedback signals seamlessly feed ba…

Rethinking Thinking Tokens: LLMs as Improvement Operators
Lovish Madaan, Aniket Didolkar, Suchin Gururangan, John Quan, Ruan Silva, Ruslan Salakhutdinov, Manzil Zaheer, Sanjeev Arora, Anirudh Goyal
https://arxiv.org/abs/2510.01123

Rethinking Thinking Tokens: LLMs as Improvement Operators
Reasoning training incentivizes LLMs to produce long chains of thought (long CoT), which among other things, allows them to explore solution strategies with self-checking. This results in higher accuracy, but inflates context length, token/compute cost, and answer latency. We ask: Can current models leverage their metacognition to provide other combinations on this Pareto frontier, e.g., better accuracy with lower context length and/or latency? Abstractly, we view the model as an improvement op…

A slight improvement on the "Liquid Ass" situation...

I do not think that Meta's Metaverse failed cause the devs weren't efficient enough. It's conceptually flawed and underbaked at best, without vision and direction. A toy Mark no longer cares too much about.
(And even getting 5% more efficiency out of LLMs is a stretch, studies show improvement of 1 or 2% at best - because you have to spend a lot of time to clean up the generated mess, especially if you are building frameworks and foundational technologies)

Meta Tells Workers Building Metaverse to Use AI to ‘Go 5x Faster’
Meta says that its coders should be working five times faster and that it expects "a 5x leap in productivity."

When we think about the improvement in team form, I would argue that it parallels Mac Allister's improvement in form. He's been very solid in consecutive games.
It also helps that Bradley is finding his stride too. I don't know what change has been the catalyst, but something has clicked.
Wirtz... looking pretty good. Should have another assist, but once again misfortunate. I really like everything about him. And we're just getting started.

Done.
From: @…
https://mastodon.social/@Tutanota/115389279859384745

Healthy Lifestyles and Self-Improvement Videos on YouTube: A Thematic Analysis of Teen-Targeted Social Media Content
Kyuha Jung, Tyler Kim, Yunan Chen
https://arxiv.org/abs/2509.25537

Healthy Lifestyles and Self-Improvement Videos on YouTube: A Thematic Analysis of Teen-Targeted Social Media Content
As teenagers increasingly turn to social media for health-related information, understanding the values of teen-targeted content has become important. Although videos on healthy lifestyles and self-improvement are gaining popularity on social media platforms like YouTube, little is known about how these videos benefit and engage with teenage viewers. To address this, we conducted a thematic analysis of 44 YouTube videos and 66,901 comments. We found that these videos provide various advice on t…

Interesting how Poetiq (company) can improve on the performance of the standard Gemini 3.0 Pro model by adding refinements and tricks. It leads to a 9% improvement on the ARC-AGI-2 Benchmark.
https://poetiq.ai/posts/arcagi_verified/

Poetiq Shatters ARC-AGI-2 State of the Art at Half the Cost
We are proud to confirm that our system has officially outperformed existing methods, establishing a new state-of-the-art by a significant margin.

Last week, October sunshine in Freiburg at the anual #NFDIMatWerk planning & strategy meeting at Freiburg Innovation Center FRIZ. Usually, I don't complain about the food, but ... hey guys, there is room for improvement ;-)
Overall outcome: The MSE KnowledgeGraph will be THE central hub for all NFDIMatWerk resources

Letter from the trenches:
Some minor things aside I could totally switch to Cosmic. A fresh whiff of air, solid, very snappy and, at heart, I'm a GTK guy. Only dealbreaker for me now: no window rules. They'll come, but at a later stage. I do expect this whole applets ecosystem to take off though. Improvement from alpha 7 to beta 1 is stellar!
NixOS has the specific feature to exclude packages from an environment, which is great for me. I don't need cosmic-edit or cosmi…

Apparently we are expected to cheer Translink for this "improvement" in our local service.
The #16 has no transit priority anywhere. The bus has to wait for traffic. A one minute "improvement" in peak frequency will not be seen by anyone

On Improvement of Control Chart using Repetitive Sampling for Monitoring Process Mean
Fahad Rafique, Saadia Masood, Shabbir Ahmad, Sadaf Amin
https://arxiv.org/abs/2510.05086 ht…

On Improvement of Control Chart using Repetitive Sampling for Monitoring Process Mean
In the practical industry, the most commonly used application of statistical analysis for monitoring the process mean is the control chart. Control charts are generated based on the presumption that we have a sample from a stable process. The control chart then provides a graphical display to test this presumption. In the existing estimator \textcolor{red}{$Mr$}, researchers use a technique involving repetitive sampling along with an auxiliary variable for detecting and monitoring the statistic…

VQhull: a Fast Planar Quickhull
Thomas Koopman, Jordy Aaldering, Bernard van Gastel, Sven-Bodo Scholz
https://arxiv.org/abs/2510.09417 https://arxiv.org/pd…

VQhull: a Fast Planar Quickhull
Finding the convex hull is a fundamental problem in computational geometry. Quickhull is a fast algorithm for finding convex hulls. In this paper, we present VQhull, a fast parallel implementation of Quickhull that exploits vector instructions, and coordinates CPU cores in a way that minimizes data movement. This implementation obtains a sequential runtime improvement of 1.6--16x, and a parallel runtime improvement of 1.5-11x compared to the state of the art on the Problem Based Benchmark Suite…

CURLING -- II. Improvement on the $H_{0}$ Inference from Pixelized Cluster Strong Lens Modeling
Yushan Xie, Huanyuan Shan, Yiping Shu, Nan Li, Ji Yao, Ran Li, Xiaoyue Cao, Zizhao He, Yin Li, Eric Jullo, Jean-Paul Kneib, Guoliang Li
https://arxiv.org/abs/2510.07131

CURLING - II. Improvement on the $H_{0}$ Inference from Pixelized Cluster Strong Lens Modeling
Strongly lensed supernovae (glSNe) provide a powerful, independent method to measure the Hubble constant, $H_{0}$, through time delays between their multiple images. The accuracy of this measurement depends critically on both the precision of time delay estimation and the robustness of lens modeling. In many current cluster-scale modeling algorithms, all multiple images used for modeling are simplified as point sources to reduce computational costs. In the first paper of the CURLING program, we…

Why would we think that past performance was any guarantee of future performance, when there's such a thing as efficiency and innovation? Like this 100X (!) improvement? (What might a 100X more efficient data center look like?) #ai #tech #fyp

Two-stream network-driven vision-based tactile sensor for object feature extraction and fusion perception
Muxing Huang, Zibin Chen, Weiliang Xu, Zilan Li, Yuanzhi Zhou, Guoyuan Zhou, Wenjing Chen, Xinming Li
https://arxiv.org/abs/2510.12528

Two-stream network-driven vision-based tactile sensor for object feature extraction and fusion perception
Tactile perception is crucial for embodied intelligent robots to recognize objects. Vision-based tactile sensors extract object physical attributes multidimensionally using high spatial resolution; however, this process generates abundant redundant information. Furthermore, single-dimensional extraction, lacking effective fusion, fails to fully characterize object attributes. These challenges hinder the improvement of recognition accuracy. To address this issue, this study introduces a two-stre…

News Corp reports Q1 revenue up 2% YoY to $2.14B, above $2.1B est., Dow Jones revenue up 6% to $586M, and News Media with "strong improvement in profitability" (Juby Babu/Reuters)
https://www.reuters.com/business/media-telecom/…

Amazon Echo Show 8 ($180) and Echo Show 11 ($220) review: better hardware and software, and Alexa is an improvement, but no camera cover and ads in the future (Jennifer Pattison Tuohy/The Verge)
https://www.theverge.com/tech/818814/amazon-echo-show-11-8-alexa-…

5 things I love about Amazon’s new Echo Shows — and 3 things I don’t
Amazon’s Echo Show 8 and Echo Show 11 launch this week, here are my first impressions

@… @… we still deserve a wilson covid mask-on home improvement episode

Non-singlet vector current in lattice QCD: $\mathrm{O}(a)$-improvement from large volumes
Tim Harris, Harvey B. Meyer
https://arxiv.org/abs/2510.06869 https://

Non-singlet vector current in lattice QCD: $\mathrm{O}(a)$-improvement from large volumes
In previous work, we determined the improvement coefficients $c_\mathrm{V}$ and $c_{\tilde{\mathrm{V}}}$ required for the massless $\mathrm{O}(a)$-improvement of the local and point-split discretizations of the non-singlet vector current for $N_\mathrm{f}=3$ non-perturbatively $\mathrm{O}(a)$-improved Wilson fermions and the Lüscher-Weisz gauge action, using ensembles of large-volume configurations generated by the Coordinated Lattice Simulations (CLS) initiative. A new estimate for the mass-d…

Systematic improvement of trial states in phaseless auxiliary-field quantum Monte Carlo
Eirik F. Kj{\o}nstad, Yann Damour, Sandeep Sharma, Garnet Kin-Lic Chan
https://arxiv.org/abs/2510.06486

Systematic improvement of trial states in phaseless auxiliary-field quantum Monte Carlo
We extend the use of coupled cluster (CC) trial states in the phaseless auxiliary-field quantum Monte Carlo (AFQMC) method beyond single and double excitations to include both triple and quadruple excitations. With this AFQMC/CC hierarchy, we are able to systematically benchmark the method's performance on molecular systems as the quality of the trial is improved. Our results show that the phaseless AFQMC energy improves systematically and is typically significantly more accurate than the energ…

Divine Deablo, Poona Ford among 5 most impactful defensive free-agent signings so far https://www.nytimes.com/athletic/6723218/2025/10/17/defensive-free-agents-deablo-lawrence-ford/

Beyond-Diagonal RIS Architecture Design and Optimization under Physics-Consistent Models
Zheyu Wu, Matteo Nerini, Bruno Clerckx
https://arxiv.org/abs/2510.12366 https://

Beyond-Diagonal RIS Architecture Design and Optimization under Physics-Consistent Models
Reconfigurable intelligent surface (RIS) is a promising technology for future wireless communication systems. Conventional RIS is constrained to a diagonal scattering matrix, which limits its flexibility. Recently, beyond-diagonal RIS (BD-RIS) has been proposed as a more general RIS architecture class that allows inter-element connections and shows great potential for performance improvement. Despite extensive progress on BD-RIS, most existing studies rely on simplified channel models that igno…

Dream to Recall: Imagination-Guided Experience Retrieval for Memory-Persistent Vision-and-Language Navigation
Yunzhe Xu, Yiyuan Pan, Zhe Liu
https://arxiv.org/abs/2510.08553 htt…

Dream to Recall: Imagination-Guided Experience Retrieval for Memory-Persistent Vision-and-Language Navigation
Vision-and-Language Navigation (VLN) requires agents to follow natural language instructions through environments, with memory-persistent variants demanding progressive improvement through accumulated experience. Existing approaches for memory-persistent VLN face critical limitations: they lack effective memory access mechanisms, instead relying on entire memory incorporation or fixed-horizon lookup, and predominantly store only environmental observations while neglecting navigation behavioral …

Engineering Dominating Patterns: A Fine-grained Case Study
Jonathan Dransfeld, Marvin K\"unnemann, Mirza Redzic, Marcus Wunderlich
https://arxiv.org/abs/2510.12232 https://…

Engineering Dominating Patterns: A Fine-grained Case Study
The \emph{Dominating $H$-Pattern} problem generalizes the classical $k$-Dominating Set problem: for a fixed \emph{pattern} $H$ and a given graph $G$, the goal is to find an induced subgraph $S$ of $G$ such that (1) $S$ is isomorphic to $H$, and (2) $S$ forms a dominating set in $G$. Fine-grained complexity results show that on worst-case inputs, any significant improvement over the naive brute-force algorithm is unlikely, as this would refute the Strong Exponential Time Hypothesis. Nevertheless…

The complete #ag2025goerlitz conference poster "20-FOLD RESOLUTION IMPROVEMENT IN RADIOASTRONOMICAL SINGLE-DISH IMAGE SCANNING" which raised some eyebrows in Görlitz - and comes with the video #RadioAstronomy #ImageProcessing

Iterative Data Curation with Theoretical Guarantees
V\"ain\"o Yrj\"an\"ainen Johan Jonasson, M{\aa}ns Magnusson
https://arxiv.org/abs/2510.11428 https://

Iterative Data Curation with Theoretical Guarantees
In recent years, more and more large data sets have become available. Data accuracy, the absence of verifiable errors in data, is crucial for these large materials to enable high-quality research, downstream applications, and model training. This results in the problem of how to curate or improve data accuracy in such large and growing data, especially when the data is too large for manual curation to be feasible. This paper presents a unified procedure for iterative and continuous improvement …

Are we truly free under neoliberalism?
"The Self-Improvement Lie" – Anna Bocca (21m45s)
https://www.youtube.com/watch?v=TANEzcjNDvc

2025 NFL Defensive Tiers Week 12: How the Cowboys' Defense Jumped Three Tiers https://www.foxsports.com/stories/nfl/2025-nfl-defensive-tiers-week-12-why-eagles-cowboys-rising

I admit, I am seriously wondering about the RTX 5070 Ti, compared to the RX 9070 XT. But these results clearly, and bafflingly, show its advantages lay in 4x frame gen. Ray tracing? Sure, in a handful of Nvidia titles that snub AMD. DLSS? 99% of these games can be modded to FSR 4. Longevity between the two cards is an interesting question. And I don't believe Nvidia has much room for next gen improvement.
RTX 5070 Ti vs RX 9070 XT | Ryzen 7 9800X3D | Tested in 15 games

Regular Expression Indexing for Log Analysis. Extended Version
Ling Zhang, Shaleen Deep, Jignesh M. Patel, Karthikeyan Sankaralingam
https://arxiv.org/abs/2510.10348 https://

Regular Expression Indexing for Log Analysis. Extended Version
In this paper, we present the design and architecture of REI, a novel system for indexing log data for regular expression queries. Our main contribution is an $n$-gram-based indexing strategy and an efficient storage mechanism that results in a speedup of up to 14x compared to state-of-the-art regex processing engines that do not use indexing, using only 2.1% of extra space. We perform a detailed study that analyzes the space usage of the index and the improvement in workload execution time, un…

Bhasha-Rupantarika: Algorithm-Hardware Co-design approach for Multilingual Neural Machine Translation
Mukul Lokhande, Tanushree Dewangan, Mohd Sharik Mansoori, Tejas Chaudhari, Akarsh J., Damayanti Lokhande, Adam Teman, Santosh Kumar Vishvakarma
https://arxiv.org/abs/2510.10676

Bhasha-Rupantarika: Algorithm-Hardware Co-design approach for Multilingual Neural Machine Translation
This paper introduces Bhasha-Rupantarika, a light and efficient multilingual translation system tailored through algorithm-hardware codesign for resource-limited settings. The method investigates model deployment at sub-octet precision levels (FP8, INT8, INT4, and FP4), with experimental results indicating a 4.1x reduction in model size (FP4) and a 4.2x speedup in inference speed, which correlates with an increased throughput of 66 tokens/s (improvement by 4.8x). This underscores the importance…

Old is Gold: Optimizing Single-threaded Applications with Exgen-Malloc
Ruihao Li, Lizy K. John, Neeraja J. Yadwadkar
https://arxiv.org/abs/2510.10219 https://

Old is Gold: Optimizing Single-threaded Applications with Exgen-Malloc
Memory allocators hide beneath nearly every application stack, yet their performance footprint extends far beyond their code size. Even small inefficiencies in the allocators ripple through caches and the rest of the memory hierarchy, collectively imposing what operators often call a "datacenter tax". At hyperscale, even a 1% improvement in allocator efficiency can unlock millions of dollars in savings and measurable reductions in datacenter energy consumption. Modern memory allocators are desi…

Chargers host Raiders as both teams seek improvement in stretch run for vastly different reasons https://www.foxsports.com/articles/nfl/chargers-host-raiders-as-both-teams-seek-improvement-in-stretch-run-for-va…

Light Field Super-Resolution: A Critical Review on Challenges and Opportunities
Sumit Sharma
https://arxiv.org/abs/2510.07879 https://arxiv.org/pdf/2510.07…

Light Field Super-Resolution: A Critical Review on Challenges and Opportunities
Advances in portability and low cost of plenoptic cameras have revived interest in light field imaging. Light-field imaging has evolved into a technology that enables us to capture richer visual information. This high-dimensional representation of visual data provides a powerful way to understand the scene, with remarkable improvement in traditional computer vision problems such as depth sensing , post-capture refocusing , material classification, segmentation, and video stabilization. Capturin…

Another week, another corporate email laying out expectations around how I'm supposed to "grow with AI".
If anyone in the #PDX area, or remote in the U.S. wants to hire a Software Engineer who believes strongly in the value of TDD, Continuous Improvement, is flexible and willing to pick up new languages and problem domains (I've written Go, Java, PHP, and Python r…

I keep thinking of something I've read years ago:
"Innovation is not the same as progress"
Progress implies a change forward, improvement, for the better.
Innovation is just change for the sake of change. Something new, not necessarily better.
Progress is hard, innovating is much easier.

This is a really good assessment (why people are complaining BlueSky is “mean”), IMO.
It’s also true of Mastodon, for very similar reasons.
If I may mangle a line from “Grosse Pointe Blank”:
“if people are hot in your mentions, you did something to bring them there”
OTOH, BS and Masto have tools to manage that. (though they need improvement)

This improvement of grabbing 2fa codes from third-party app notifications is super useful when my main number is on google voice.

KnowRL: Teaching Language Models to Know What They Know
Sahil Kale, Devendra Singh Dhami
https://arxiv.org/abs/2510.11407 https://arxiv.org/pdf/2510.11407

KnowRL: Teaching Language Models to Know What They Know
Truly reliable AI requires more than simply scaling up knowledge; it demands the ability to know what it knows and when it does not. Yet recent research shows that even the best LLMs misjudge their own competence in more than one in five cases, making any response born of such internal uncertainty impossible to fully trust. Inspired by self-improvement reinforcement learning techniques that require minimal data, we present a simple but powerful framework KnowRL that strengthens a model's intern…

PAC Reasoning: Controlling the Performance Loss for Efficient Reasoning
Hao Zeng, Jianguo Huang, Bingyi Jing, Hongxin Wei, Bo An
https://arxiv.org/abs/2510.09133 https://…

PAC Reasoning: Controlling the Performance Loss for Efficient Reasoning
Large reasoning models (LRMs) have achieved remarkable progress in complex problem-solving tasks. Despite this success, LRMs typically suffer from high computational costs during deployment, highlighting a need for efficient inference. A popular direction of efficiency improvement is to switch the LRM between thinking and nonthinking modes dynamically. However, such approaches often introduce additional reasoning errors and lack statistical guarantees for the performance loss, which are critica…

CATMark: A Context-Aware Thresholding Framework for Robust Cross-Task Watermarking in Large Language Models
Yu Zhang, Shuliang Liu, Xu Yang, Xuming Hu
https://arxiv.org/abs/2510.02342

CATMark: A Context-Aware Thresholding Framework for Robust Cross-Task Watermarking in Large Language Models
Watermarking algorithms for Large Language Models (LLMs) effectively identify machine-generated content by embedding and detecting hidden statistical features in text. However, such embedding leads to a decline in text quality, especially in low-entropy scenarios where performance needs improvement. Existing methods that rely on entropy thresholds often require significant computational resources for tuning and demonstrate poor adaptability to unknown or cross-task generation scenarios. We prop…

Bonanno-Reuter regular black hole: quasi-resonances, grey-body factors and absorption cross-sections of a massive scalar field
Zainab Malik
https://arxiv.org/abs/2510.06689 http…

Bonanno-Reuter regular black hole: quasi-resonances, grey-body factors and absorption cross-sections of a massive scalar field
We study quasinormal modes of a massive scalar field in the background of the regular, quantum-corrected Bonanno-Reuter black hole, which arises from the renormalization group improvement of the Schwarzschild solution within the framework of asymptotically safe gravity. The analysis is performed in both the time and frequency domains. We find that increasing the mass of the field leads to a strong suppression of the damping rate, and extrapolation to larger masses indicates the emergence of arb…

But did he and his staff learn anything, given the Wannong “Tiffany” Deng example? "My bad" is not a measure of improvement or competence
Daniel Lurie gets props, faces doubt in Beya Alcaraz fallout | Politics | sfexaminer.com
https:/…

Lurie lauded for taking D4 blame, faces skepticism
Some Filipino American leaders want restitution for cultural group.

But did he and his staff learn anything, given the Wannong “Tiffany” Deng example? "My bad" is not a measure of improvement or competence
Daniel Lurie gets props, faces doubt in Beya Alcaraz fallout | Politics | sfexaminer.com
https:/…

Lurie lauded for taking D4 blame, faces skepticism
Some Filipino American leaders want restitution for cultural group.

As a security precaution I had previously configured every single 11ty repository to have its own single-package-scoped npm token (there were probably ~30 or so), so this is a lovely improvement 😅

I was in a tinkering mood today and tried this little tin foil mod for the Casio F-91W: #DIY #Modding #f91W #CasioF91W #watch #watches #tinkering #music #singing #Bach #cantata #BWV197A

Credit Default Prediction with Projected Quantum Feature Models and Ensembles
Andras Ferenczi, Dagen Wang, Mariya Bessonova, Sutapa Samanta, Todd Hodges, John Hancock, Guillermo Mijares Vilari\~no, Amol Deshmukh, Mariana LaDue, Girish Pillai, Hilary Packer
https://arxiv.org/abs/2510.01129

Credit Default Prediction with Projected Quantum Feature Models and Ensembles
Accurate prediction of future loan defaults is a critical capability for financial institutions that provide lines of credit. For institutions that issue and manage extensive loan volumes, even a slight improvement in default prediction precision can significantly enhance financial stability and regulatory adherence, resulting in better customer experience and satisfaction. Datasets associated with credit default prediction often exhibit temporal correlations and high dimensionality. These attr…

Private Learning of Littlestone Classes, Revisited
Xin Lyu
https://arxiv.org/abs/2510.00076 https://arxiv.org/pdf/2510.00076…

Private Learning of Littlestone Classes, Revisited
We consider online and PAC learning of Littlestone classes subject to the constraint of approximate differential privacy. Our main result is a private learner to online-learn a Littlestone class with a mistake bound of $\tilde{O}(d^{9.5}\cdot \log(T))$ in the realizable case, where $d$ denotes the Littlestone dimension and $T$ the time horizon. This is a doubly-exponential improvement over the state-of-the-art [GL'21] and comes polynomially close to the lower bound for this task. The advancem…

“ALGOL 68 — A language specification intended as an improvement on ALGOL 60 that seemed to make everyone involved in the effort unhappy.”
https://cacm.acm.org/article/lessons-from-pl-i-a-most-ambitious-programming-language/

Machine Learning Interatomic Potentials Enable Molecular Dynamics Simulations of Doped MoS2
Abrar Faiyad, Ashlie Martini
https://arxiv.org/abs/2510.05339 https://

Machine Learning Interatomic Potentials Enable Molecular Dynamics Simulations of Doped MoS2
We present the first computational framework for molecular dynamics simulation of MoS2 doped with 25 elements spanning metals, non-metals, and transition metals using Meta's Universal Model for Atoms machine learning interatomic potential (MLIP). Benchmarking against density functional theory calculations demonstrates the accuracy of the MLIP for simulating doped-MoS2 systems and highlights opportunities for improvement. Using the MLIP, we perform heating-cooling simulations of doped-MoS2 super…

Understanding Practitioners Perspectives on Monitoring Machine Learning Systems
Hira Naveed, John Grundy, Chetan Arora, Hourieh Khalajzadeh, Omar Haggag
https://arxiv.org/abs/2509.25195

Understanding Practitioners Perspectives on Monitoring Machine Learning Systems
Given the inherent non-deterministic nature of machine learning (ML) systems, their behavior in production environments can lead to unforeseen and potentially dangerous outcomes. For a timely detection of unwanted behavior and to prevent organizations from financial and reputational damage, monitoring these systems is essential. This paper explores the strategies, challenges, and improvement opportunities for monitoring ML systems from the practitioners perspective. We conducted a global survey…

Long-tailed Recognition with Model Rebalancing
Jiaan Luo, Feng Hong, Qiang Hu, Xiaofeng Cao, Feng Liu, Jiangchao Yao
https://arxiv.org/abs/2510.08177 https://

Long-tailed Recognition with Model Rebalancing
Long-tailed recognition is ubiquitous and challenging in deep learning and even in the downstream finetuning of foundation models, since the skew class distribution generally prevents the model generalization to the tail classes. Despite the promise of previous methods from the perspectives of data augmentation, loss rebalancing and decoupled training etc., consistent improvement in the broad scenarios like multi-label long-tailed recognition is difficult. In this study, we dive into the essent…

Atomic and molecular systems for radiation thermometry
Stephen P. Eckel, Eric B. Norrgard, Christopher Holloway, Nikunjkumar Prajapati, Noah Schlossberger, Matthew Simons
https://arxiv.org/abs/2512.08668 https://arxiv.org/pdf/2512.08668 https://arxiv.org/html/2512.08668
arXiv:2512.08668v1 Announce Type: new
Abstract: Atoms and simple molecules are excellent candidates for new standards and sensors because they are both all identical and their properties are determined by the immutable laws of quantum physics. Here, we introduce the concept of building a standard and sensor of radiative temperature using atoms and molecules. Such standards are based on precise measurement of the rate at which blackbody radiation (BBR) either excites or stimulates emission for a given atomic transition. We summarize the recent results of two experiments while detailing the rate equation models required for their interpretation. The cold atom thermometer (CAT) uses a gas of laser cooled $^{85}$Rb Rydberg atoms to probe the BBR spectrum near 130~GHz. This primary, {\it i.e.}, not traceable to a measurement of like kind, temperature measurement currently has a total uncertainty of approximately 1~\%, with clear paths toward improvement. The compact blackbody radiation atomic sensor (CoBRAS) uses a vapour of $^{85}$Rb and monitors fluorescence from states that are either populated by BBR or populated by spontaneous emission to measure the blackbody spectrum near 24.5~THz. The CoBRAS has an excellent relative precision of $u(T)\approx 0.13$~K, with a clear path toward implementing a primary
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High 5: Report Grades after first 6 weeks https://www.dallascowboys.com/news/high-5-report-grades-after-first-6-weeks

AdaPtis: Reducing Pipeline Bubbles with Adaptive Pipeline Parallelism on Heterogeneous Models
Jihu Guo, Tenghui Ma, Wei Gao, Peng Sun, Jiaxing Li, Xun Chen, Yuyang Jin, Dahua Lin
https://arxiv.org/abs/2509.23722

AdaPtis: Reducing Pipeline Bubbles with Adaptive Pipeline Parallelism on Heterogeneous Models
Pipeline parallelism is widely used to train large language models (LLMs). However, increasing heterogeneity in model architectures exacerbates pipeline bubbles, thereby reducing training efficiency. Existing approaches overlook the co-optimization of model partition, model placement, and workload scheduling, resulting in limited efficiency improvement or even performance degradation. To respond, we propose AdaPtis, an LLM training system that supports adaptive pipeline parallelism. First, we d…

A Fast solver for high condition linear systems using randomized stable solutions of its blocks
Suvendu Kar, Murugesan Venkatapathi
https://arxiv.org/abs/2510.02156 https://

A Fast solver for high condition linear systems using randomized stable solutions of its blocks
We present an enhanced version of the row-based randomized block-Kaczmarz method to solve a linear system of equations. This improvement makes use of a regularization during block updates in the solution, and a dynamic proposal distribution based on the current residue and effective orthogonality between blocks. This improved method provides significant gains in solving high-condition number linear systems that are either sparse, or dense least-squares problems that are significantly over/under…

New article on the blog!
This time, it's about how I optimized an algorithm which turns byte offsets into line/column numbers and UTF-16 offsets.
Most of the performance improvement came from the use of SIMD to efficiently count ASCII characters.
#rust #RustLang #SIMD #optimization #blog

#Oakland's Rockridge Improvement Club is a cozy bar on a mission to cure #musicians’ #healthcare blues ...
Operated by some local #music

RIC Bar in Rockridge is hosting private shows to cure musicians’ blues
The owner, a member of the band The Lovemakers, teamed up with Sofaburn Inc. an organization that provides health subsidies for fellow musicians.

Why Pete Carroll Can’t Fix the Raiders’ Biggest Problems https://www.si.com/nfl/raiders/onsi/las-vegas-pete-carroll-cant-fix-biggest-problems

Product-Quantised Image Representation for High-Quality Image Synthesis
Denis Zavadski, Nikita Philip Tatsch, Carsten Rother
https://arxiv.org/abs/2510.03191 https://

Product-Quantised Image Representation for High-Quality Image Synthesis
Product quantisation (PQ) is a classical method for scalable vector encoding, yet it has seen limited usage for latent representations in high-fidelity image generation. In this work, we introduce PQGAN, a quantised image autoencoder that integrates PQ into the well-known vector quantisation (VQ) framework of VQGAN. PQGAN achieves a noticeable improvement over state-of-the-art methods in terms of reconstruction performance, including both quantisation methods and their continuous counterparts. …

High 5: Report Grades after first 6 weeks https://www.dallascowboys.com/news/high-5-report-grades-after-first-6-weeks

First Try Matters: Revisiting the Role of Reflection in Reasoning Models
Liwei Kang, Yue Deng, Yao Xiao, Zhanfeng Mo, Wee Sun Lee, Lidong Bing
https://arxiv.org/abs/2510.08308 h…

First Try Matters: Revisiting the Role of Reflection in Reasoning Models
Large language models have recently demonstrated significant gains in reasoning ability, often attributed to their capacity to generate longer chains of thought and engage in reflective reasoning. However, the contribution of reflections to performance improvement remains unclear. In this paper, we systematically analyze the rollouts of eight reasoning models on five mathematical datasets. We focus on reflective behaviours where the model has already produced an answer but continues reflecting …

HSBC says it has tested an IBM quantum computing tool on European bond market data and saw a 34% improvement over traditional methods in predicting order fills (Arjun Neil Alim/Financial Times)
https://www.ft.com/content/d9d40c18-0fb6-4b7f-aa92-00aed1900859

On the optimization dynamics of RLVR: Gradient gap and step size thresholds
Joe Suk, Yaqi Duan
https://arxiv.org/abs/2510.08539 https://arxiv.org/pdf/2510.…

On the optimization dynamics of RLVR: Gradient gap and step size thresholds
Reinforcement Learning with Verifiable Rewards (RLVR), which uses simple binary feedback to post-train large language models, has shown significant empirical success. However, a principled understanding of why it works has been lacking. This paper builds a theoretical foundation for RLVR by analyzing its training process at both the full-response (trajectory) and token levels. Central to our analysis is a quantity called the Gradient Gap, which formalizes the direction of improvement from low-r…

Behind Saquon Barkley's dip in production after career year: Can the Eagles fix it? https://www.espn.com/nfl/story/_/id/47233806/philadelphia-eagles-saquon-barkley-dip-production-career-year-2025

Didn't have a lot of time today to play around with Cosmic beta on Nix (cosmic-saigon).
Big improvement already:keyboard shortcuts (when you are adding or modifying) are now triggered by typing the actual key combo. For me, as a keyboard shortcuts junkie that's great!
#cosmic

Optimization Outperforms Unscented Techniques for Nonlinear Smoothing
Payton Howell, Aleksandr Aravkin
https://arxiv.org/abs/2510.03846 https://arxiv.org/p…

Optimization Outperforms Unscented Techniques for Nonlinear Smoothing
We review optimization-based approaches to smoothing nonlinear dynamical systems. These approaches leverage the fact that the Extended Kalman Filter and corresponding smoother can be framed as the Gauss-Newton method for a nonlinear least squares maximum a posteriori loss, and stabilized with standard globalization techniques. We compare the performance of the Optimized Kalman Smoother (OKS) to Unscented Kalman smoothing techniques, and show that they achieve significant improvement for highly …

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Intelligent 5S Audit: Application of Artificial Intelligence for Continuous Improvement in the Au...
Rafael da Silva Maciel, Lucio Veraldo Jr

Integrating Domain Knowledge into Process Discovery Using Large Language Models
Ali Norouzifar, Humam Kourani, Marcus Dees, Wil van der Aalst
https://arxiv.org/abs/2510.07161 ht…

Integrating Domain Knowledge into Process Discovery Using Large Language Models
Process discovery aims to derive process models from event logs, providing insights into operational behavior and forming a foundation for conformance checking and process improvement. However, models derived solely from event data may not accurately reflect the real process, as event logs are often incomplete or affected by noise, and domain knowledge, an important complementary resource, is typically disregarded. As a result, the discovered models may lack reliability for downstream tasks. We…

This improvement of grabbing 2fa codes from third-party app notifications is super useful when my main number is on google voice.

Nuclear spin quenching of the $^2S_{1/2}\rightarrow {^2}F_{7/2} $ electric octupole transition in $^{173}$Yb$^ $
Jialiang Yu, Anand Prakash, Clara Zyskind, Ikbal A. Biswas, Rattakorn Kaewuam, Piyaphat Phoonthong, Tanja E. Mehlst\"aubler
https://arxiv.org/abs/2512.05872 https://arxiv.org/pdf/2512.05872 https://arxiv.org/html/2512.05872
arXiv:2512.05872v1 Announce Type: new
Abstract: We report the coherent excitation of the highly forbidden $^2S_{1/2} \rightarrow {^2}F_{7/2}$ clock transition in the odd isotope $^{173}\mathrm{Yb}^ $ with nuclear spin $I = 5/2$, and reveal the hyperfine-state-dependent, nuclear spin induced quenching of this transition. The inferred lifetime of the $F_e = 4$ hyperfine state is one order of magnitude shorter than the unperturbed ${^2}F_{7/2}$ clock state of $^{171}\mathrm{Yb}^ $. This reduced lifetime lowers the required optical power for coherent excitation of the clock transition, thereby reducing the AC Stark shift caused by the clock laser. Using a 3-ion Coulomb crystal, we experimentally demonstrate an approximately 20-fold suppression of the AC Stark shift, a critical improvement for the scalability of future multi-ion $\mathrm{Yb}^ $ clocks. Furthermore, we report the $|^2S_{1/2},F_g=3\rangle~\rightarrow~|^2F_{7/2},F_e=6\rangle$ unquenched reference transition frequency as $642.11917656354(43)$ THz, along with the measured hyperfine splitting and calculated quadratic Zeeman sensitivities of the ${^2}F_{7/2}$ clock state. Our results pave the way toward multi-ion optical clocks and quantum computers based on $^{173}\mathrm{Yb}^ $.
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Raiders' Week 4 Outlook Hinges on Total-Team Improvement https://www.si.com/nfl/raiders/las-vegas-darien-porter-pete-carroll-geno-smith-chicago-bears

Sampling Complexity of TD and PPO in RKHS
Lu Zou, Wendi Ren, Weizhong Zhang, Liang Ding, Shuang Li
https://arxiv.org/abs/2509.24991 https://arxiv.org/pdf/2…

Sampling Complexity of TD and PPO in RKHS
We revisit Proximal Policy Optimization (PPO) from a function-space perspective. Our analysis decouples policy evaluation and improvement in a reproducing kernel Hilbert space (RKHS): (i) A kernelized temporal-difference (TD) critic performs efficient RKHS-gradient updates using only one-step state-action transition samples; (ii) a KL-regularized, natural-gradient policy step exponentiates the evaluated action-value, recovering a PPO/TRPO-style proximal update in continuous state-action spaces.…

Spagnola: Time to prove Cowboys are for real https://www.dallascowboys.com/news/spagnola-time-to-prove-cowboys-are-for-real

Why Tre Tucker's Development Holds the Secret to Raiders' Improvement https://www.si.com/nfl/raiders/ltre-tucker-as-vegas-pete-carroll-geno-smith

Spagnola: Time to prove Cowboys are for real https://www.dallascowboys.com/news/spagnola-time-to-prove-cowboys-are-for-real

Optimal Robust Recourse with $L^p$-Bounded Model Change
Phone Kyaw, Kshitij Kayastha, Shahin Jabbari
https://arxiv.org/abs/2509.21293 https://arxiv.org/pdf…

Optimal Robust Recourse with $L^p$-Bounded Model Change
Recourse provides individuals who received undesirable labels (e.g., denied a loan) from algorithmic decision-making systems with a minimum-cost improvement suggestion to achieve the desired outcome. However, in practice, models often get updated to reflect changes in the data distribution or environment, invalidating the recourse recommendations (i.e., following the recourse will not lead to the desirable outcome). The robust recourse literature addresses this issue by providing a framework fo…

AFC West Power Rankings: Chargers Sinking, Broncos Rising? https://raiderramble.com/2025/10/08/afc-west-power-rankings-chargers-sinking-broncos-rising/

Dallas Cowboys linked to former NFL sack leader to bolster pass rush https://www.si.com/nfl/cowboys/news/dallas-cowboys-linked-former-nfl-sack-leader-trey-hendrickson-bolster-pass-rush

Raiders Get Strong Message on Geno Smith After Latest Loss https://heavy.com/sports/nfl/las-vegas-raiders/geno-smith-strong-message-nfl-analyst/?adt_ei=[email]

Big Questions Loom If Raiders Don’t Turn Things Around Soon https://www.si.com/nfl/raiders/las-vegas-pete-carroll-john-spytek-chicago-bears-geno-smith