Tootfinder

Visual neurorestoration: An expert review of current strategies for restoring vision in humans https://www.mdpi.com/2076-3425/15/11/1170
Apparently they have never heard of the Neuralink Blindsight cortical implant nor The vOICe visual-to-auditory sensory substitution?

I need to read it properly, but this looks 🔥 https://arxiv.org/abs/2511.16652

Evolution Strategies at the Hyperscale
We introduce Evolution Guided General Optimization via Low-rank Learning (EGGROLL), an evolution strategies (ES) algorithm designed to scale backprop-free optimization to large population sizes for modern large neural network architectures with billions of parameters. ES is a set of powerful blackbox optimisation methods that can handle non-differentiable or noisy objectives with excellent scaling potential through parallelisation. Na{ï}ve ES becomes prohibitively expensive at scale due to the…

Ever notice how the most influential people aren't always the bosses?
They're the ones everyone trusts. The ones whose ideas somehow become the plan. The ones people actually want to follow.
That influence doesn't come from a title. It comes from showing up consistently. Making things clearer. Being the same person in every room.
Read more about building influence without needing permission:

Influence Without Authority: How to Get People to Listen Without Being the Boss
Learn how to build real influence without authority. Discover proven strategies for gaining trust, establishing expertise, and leading without a title.

Every day offers a NEW opportunity to turn hurdles into stepping stones toward success. 🌟 By embracing continuous learning, I propel my journey forward. What strategies do you use for personal growth? Share your insights! #LearningJourney #SuccessMindset

🐦‍🔥 End-of-Life Strategies for Wind Turbines: Blade Recycling, Second-Life Applications, and Circular Economy Integration
#wind

Does anyone have good reading material or experience to share regarding credit-based flow control systems, strategies for designing effective ones, etc?
I'm trying to maintain high throughput across a link with an unknown latency that could range from microseconds to hundreds of milliseconds, while not adding excessive additional latency due to buffer bloat.

Meerilinga - Positive Childhoods And Parenting
We equip parents with strategies and techniques on how to create positive childhoods...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/meerilinga/

I appreciate Hidde’s ability to take preposterous claims by a major accessibility tooling maker and the rampant thievery of IP by LLM makers, consider their dehumanizing output, and propose this gentle, whisper-soft rebuke:
https://hidde.blog/teaching-llms-or-companies/

Yes, let's teach LLMs accessibility, but also provide the companies using them with better strategies
Some thoughts on teaching LLMs accessibility.

A huge thank you to Grafana Labs for being a Gold Sponsor of SCaLE 23x! We're excited to showcase the power of open observability with your support. Don't miss their solutions for managing observability strategies! Check them out: https://www.grafana.com

NFL Week 7 betting: Expert breaks down underdog betting strategies, including for Vikings vs. Eagles

https://www.cbssports.com/nfl/news/nfl-wee

📔 Exploring how storytelling strategies shape memories
#memory

Exploring how storytelling strategies shape memories
Does the way a person hears about an event shape their recollection of it later? In a new JNeurosci paper, Signy Sheldon and colleagues, from McGill University, explored whether different storytelling strategies affect how the brain stores that experience as a memory and recalls it later.

Sampling Strategies for Robust Universal Quadrupedal Locomotion Policies
David Rytz, Kim Tien Ly, Ioannis Havoutis
https://arxiv.org/abs/2510.07094 https://

Sampling Strategies for Robust Universal Quadrupedal Locomotion Policies
This work focuses on sampling strategies of configuration variations for generating robust universal locomotion policies for quadrupedal robots. We investigate the effects of sampling physical robot parameters and joint proportional-derivative gains to enable training a single reinforcement learning policy that generalizes to multiple parameter configurations. Three fundamental joint gain sampling strategies are compared: parameter sampling with (1) linear and polynomial function mappings of ma…

MAPS: Masked Attribution-based Probing of Strategies- A computational framework to align human and model explanations
Sabine Muzellec, Yousif Kashef Alghetaa, Simon Kornblith, Kohitij Kar
https://arxiv.org/abs/2510.12141

MAPS: Masked Attribution-based Probing of Strategies- A computational framework to align human and model explanations
Human core object recognition depends on the selective use of visual information, but the strategies guiding these choices are difficult to measure directly. We present MAPS (Masked Attribution-based Probing of Strategies), a behaviorally validated computational tool that tests whether explanations derived from artificial neural networks (ANNs) can also explain human vision. MAPS converts attribution maps into explanation-masked images (EMIs) and compares image-by-image human accuracies on thes…

"How a Big Oil PR Firm Helped Top UK Cultural Institutions Defend Their Fossil Fuel Sponsorships"
#UK #UnitedKingdom #Climate

How a Big Oil PR Firm Helped Top UK Cultural Institutions Defend Their Fossil Fuel Sponsorships
Brunswick Group’s strategies aimed to neutralise growing calls for theatres, museums, and galleries to distance themselves from climate polluters.

You don't need a title to move work forward.
The people who shape decisions aren't always in charge. They're the ones others trust and turn to.
Influence is built through small actions that add up over time.
New piece on how to build it without authority.
What's helped you influence without power?

Influence Without Authority: How to Get People to Listen Without Being the Boss
Learn how to build real influence without authority. Discover proven strategies for gaining trust, establishing expertise, and leading without a title.

Shootout Strategies: Cowboys’ paths to victory in Week 7 includes speed, stoutness https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/10/18/dallas-cowboys-3-strategic-paths-victory-w…

The current AI strategies of China and the US are complementary, as unlike the US, China isn't "AGI-pilled" yet, focusing on embodied AI and open source models (Dean W. Ball/Hyperdimensional)
https://www.hyperdimensional.co/p/the-bitter-lessons

The Bitter Lessons
Thoughts on US-China Competition

JWT vs PASETO vs Branca: The Future of Secure Tokens in 2026
If you’ve worked on authentication anytime in the last decade, chances are you’ve implemented a JWT somewhere. It became the go-to standard — not because it was flawless, but because it was everywhere.
🔏 https://mojoau…

JWT vs PASETO vs Branca — The Future of Secure Tokens in 2026 | MojoAuth - Advanced Authentication & Identity Solutions
Learn the key differences between JWT, PASETO, and Branca tokens in 2026. Explore real-world examples, migration strategies, and which token suits APIs, Zero Trust, mobile, and edge applications best.

Current flu vaccines induce immune defenses that target hemagglutinin,
one of the proteins jutting from the surface of a flu virus.
However, the outer portion of hemagglutinin changes quickly.
Researchers are trying several strategies to zero in on more stable parts of the viruses.
By analyzing multiple virus variants, Ross and his team identified sections of hemagglutinin that stay constant and then combined them to make vaccines. -- In their 2025 study, vaccines cre…

A Vaccine Big Shot - Lasker Foundation
OCT 14, 2025Read about Lasker Laureate Thomas Francis, who developed vaccines against influenza types A and B.

Optimizing for Persuasion Improves LLM Generalization: Evidence from Quality-Diversity Evolution of Debate Strategies
Aksel Joonas Reedi, Corentin L\'eger, Julien Pourcel, Loris Gaven, Perrine Charriau, Guillaume Pourcel
https://arxiv.org/abs/2510.05909

Optimizing for Persuasion Improves LLM Generalization: Evidence from Quality-Diversity Evolution of Debate Strategies
Large Language Models (LLMs) optimized to output truthful answers often overfit, producing brittle reasoning that fails to generalize. While persuasion-based optimization has shown promise in debate settings, it has not been systematically compared against mainstream truth-based approaches. We introduce DebateQD, a minimal Quality-Diversity (QD) evolutionary algorithm that evolves diverse debate strategies across different categories (rationality, authority, emotional appeal, etc.) through tour…

Hybrid Ridgelet Deep Neural Networks for Data-Driven Arbitrage Strategies
Bahadur Yadav, Sanjay Kumar Mohanty
https://arxiv.org/abs/2510.10599 https://arxi…

Hybrid Ridgelet Deep Neural Networks for Data-Driven Arbitrage Strategies
In this study, we propose a novel model framework that integrates deep neural networks with the Ridgelet Transform. The Ridgelet Transform on Borel measurable functions is used for arbitrage detection on high-dimensional sparse structures. This transform also enhances the expressive power of neural networks, enabling them to capture complex and high-dimensional market structures. Theoretically, we determine profitable trading strategies by optimizing hybrid ridgelet deep neural networks. Furthe…

Fascinating results from modelling different charging strategies (dumb, smart, #V2G) for 15 million BEVs in Germany in 2030, this research by Adeline Guéret, Carlos Gaete-Morales and @….
At 50% V2G, the system costs are lower than in the situation without EVs.

A moderate share of V2G outperforms large-scale smart charging of electric vehicles and benefits other consumers
While battery electric vehicles (BEVs) play a key role for decarbonizing the transport sector, their impact on the power sector heavily depends on their charging strategies. Here we systematically analyze various combinations between inflexible, smart and bidirectional (or vehicle-to-grid, V2G) charging of 15 million electric cars in Germany. Using a capacity expansion model, we find that even a moderate share of bidirectional charging below 30% leads to lower system costs than a fully smartly …

Always Business Class
Flight hacks, points strategies and real-life stories from the points whisperer...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/always-business-class/

Been re-reading Langdon Winner's "The Whale and the Reactor".
Winner published this in 1988 and it still 100% applies. His criticism of "values" discourse, of certain strategies of trying to defend important structures by adopting the language and thinking of the opponent. The focus on numbers while devaluing experience. The hollowness of the decentralization discourse.
Damn.

The Art of Pivoting - Techniques for Intelligence Analysts to Discover New Relationships in a Complex World
This open source book explores how intelligence and cyber-security analysts can uncover hidden links between threat actor infrastructure and ongoing investigations by pivoting on both classic and unconventional indicators — many of which are often overlooked. The material is grounded in empirical, field-tested strategies used in cyber-security, digital forensics, cyber threat int…

AutoDAN-Reasoning: Enhancing Strategies Exploration based Jailbreak Attacks with Test-Time Scaling
Xiaogeng Liu, Chaowei Xiao
https://arxiv.org/abs/2510.05379 https://

AutoDAN-Reasoning: Enhancing Strategies Exploration based Jailbreak Attacks with Test-Time Scaling
Recent advancements in jailbreaking large language models (LLMs), such as AutoDAN-Turbo, have demonstrated the power of automated strategy discovery. AutoDAN-Turbo employs a lifelong learning agent to build a rich library of attack strategies from scratch. While highly effective, its test-time generation process involves sampling a strategy and generating a single corresponding attack prompt, which may not fully exploit the potential of the learned strategy library. In this paper, we propose to…

Beyond Survival: Evaluating LLMs in Social Deduction Games with Human-Aligned Strategies
Zirui Song, Yuan Huang, Junchang Liu, Haozhe Luo, Chenxi Wang, Lang Gao, Zixiang Xu, Mingfei Han, Xiaojun Chang, Xiuying Chen
https://arxiv.org/abs/2510.11389

Beyond Survival: Evaluating LLMs in Social Deduction Games with Human-Aligned Strategies
Social deduction games like Werewolf combine language, reasoning, and strategy, providing a testbed for studying natural language and social intelligence. However, most studies reduce the game to LLM-based self-play, yielding templated utterances and anecdotal cases that overlook the richness of social gameplay. Evaluation further relies on coarse metrics such as survival time or subjective scoring due to the lack of quality reference data. To address these gaps, we curate a high-quality, human…

Evaluating Line Chart Strategies for Mitigating Density of Temporal Data: The Impact on Trend, Prediction, and Decision-Making
Rifat Ara Proma, Ghulam Jilani Quadri, Paul Rosen
https://arxiv.org/abs/2510.11912

Evaluating Line Chart Strategies for Mitigating Density of Temporal Data: The Impact on Trend, Prediction, and Decision-Making
Overplotted line charts can obscure trends in temporal data and hinder prediction. We conduct a user study comparing three alternatives-aggregated, trellis, and spiral line charts against standard line charts on tasks involving trend identification, making predictions, and decision-making. We found aggregated charts performed similarly to standard charts and support more accurate trend recognition and prediction; trellis and spiral charts generally lag. We also examined the impact on decision-m…

All political violence is bad; violence is never a good answer.
From report AG and potus want to hide: "…the number of far-right attacks continues to outpace all other types of terrorism and domestic violent extremism."
https://www.scribd.com/document/9186184…

What NIJ Research Tells Us About Domestic Terrorism | PDF | Extremism | Crimes
NIJ-funded research has enhanced understanding of domestic terrorism, particularly the rise of far-right extremist violence in the U.S., which has outpaced other forms of terrorism. The studies reveal that radicalization processes vary by group and crime type, and highlight the importance of community-based prevention strategies. Key findings include the diversity of extremist beliefs and behaviors, the role of military experience in radicalization, and the need for targeted interventions to pr…

Implementing the Quantum Approximate Optimization Algorithms for QUBO problems Across Quantum Hardware Platforms: Performance Analysis, Challenges, and Strategies
Teemu Pihkakoski, Aravind Plathanam Babu, Pauli Taipale, Petri Liimatta, Matti Silveri
https://arxiv.org/abs/2510.12336

Implementing the Quantum Approximate Optimization Algorithms for QUBO problems Across Quantum Hardware Platforms: Performance Analysis, Challenges, and Strategies
Quantum computers are expected to offer significant advantages in solving complex optimization problems that are challenging for classical computers. Quadratic Unconstrained Binary Optimization (QUBO) problems represent an important class of problems with relevance in finance and logistics. The Quantum Approximate Optimization Algorithm (QAOA) is a prominent candidate for solving QUBO problems on near-term quantum devices. In this paper, we investigate the performance of both the standard QAOA …

Ezra Klein is moving from an opinion writer to a powerbroker, as sources say his partisan influence is raising concerns in the Democratic Party and the NYT (Axios)
https://www.axios.com/2025/11/16/ezra-klein-power-play-democrats

How Ezra Klein's power play is guiding Democrats
The New York Times columnist, podcaster and author has helped shape the party's strategies and policies in President Trump's second term.

It's worth remembering that the civil war was a slave revolt:
#USPol

Advances in artificial vision systems: a comprehensive review of technologies, applications, and future directions https://link.springer.com/article/10.1007/s13534-025-00513-4 "clinical value hinges on durability, effective resolution, surgical practicality, and user t…

Advances in artificial vision systems: a comprehensive review of technologies, applications, and future directions - Biomedical Engineering Letters
This review article focuses on recent advancements and persistent challenges in artificial vision prostheses designed to restore sight for patients affected by retinal diseases. It comprehensively examines various approaches, including epiretinal, subretinal, and suprachoroidal implants, as well as optic nerve and visual cortex stimulation strategies. The critical role of the retina in visual perception is explored, emphasizing how retinal degeneration affects the transmission of visual informa…

No wine, chocolate, or coffee but we’ll still have billionaires (or maybe even trillionaires).
Worth it, no? https://mastodon.social/@Snoro/115490957176403898

🤝 Why protests can bring people together across political divides
#protests

Why protests can bring people together across political divides
How can people with diametrically opposed views suddenly stand shoulder to shoulder in protest? Researchers from Copenhagen, Oslo and Mainz have investigated this question. The starting point is the COVID protests, which were driven by three unifying strategies.

You don’t have to do it alone’: how US cities are helping each other resist ICE
#resist

‘You don’t have to do it alone’: how US cities are helping each other resist ICE
From LA to Charlotte, organizers are learning from others’ strategies to protect residents amid federal crackdowns

The Dynamic Leader Podcast
My intention, with every conversation, is to offer you, as leaders, insights and strategies on how you can become more effective in your role, to be strong and to be kind...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/the-dy

An Energy-Efficient Edge Coprocessor for Neural Rendering with Explicit Data Reuse Strategies
Binzhe Yuan, Xiangyu Zhang, Zeyu Zheng, Yuefeng Zhang, Haochuan Wan, Zhechen Yuan, Junsheng Chen, Yunxiang He, Junran Ding, Xiaoming Zhang, Chaolin Rao, Wenyan Su, Pingqiang Zhou, Jingyi Yu, Xin Lou
https://arxiv.org/abs/2510.07667

An Energy-Efficient Edge Coprocessor for Neural Rendering with Explicit Data Reuse Strategies
Neural radiance fields (NeRF) have transformed 3D reconstruction and rendering, facilitating photorealistic image synthesis from sparse viewpoints. This work introduces an explicit data reuse neural rendering (EDR-NR) architecture, which reduces frequent external memory accesses (EMAs) and cache misses by exploiting the spatial locality from three phases, including rays, ray packets (RPs), and samples. The EDR-NR architecture features a four-stage scheduler that clusters rays on the basis of Z-…

General model and modulation strategies for Sagnac-based encoders
Federico Berra, Mat\'ias Rub\'en Bola\~nos, Alberto De Toni, Kannan Vijayadharan, Costantino Agnesi, Marco Avesani, Andrea Stanco, Paolo Villoresi, Giuseppe Vallone
https://arxiv.org/abs/2510.11873

General model and modulation strategies for Sagnac-based encoders
In recent decades, there has been an increasing demand for faster modulation schemes. Electro-optic modulators are essential components in modern photonic systems, enabling high-speed control of light for applications ranging from telecommunications to quantum communication. Conventional inline and Mach-Zehnder modulators, while widely adopted, are limited by bias drift, high operating voltages, and polarization-mode dispersion. Sagnac loop-based modulators have recently emerged as a promising …

Call for Papers: “Mary’s Grandsons: Marian devotion, colonial politics and native strategies against imperial pressure”
https://ift.tt/ufI3CG6
Seeking Book Reviewers for Women and Social Movements in the United States Erica Hayden 10/06/2025 -…
via Input 4 RELCFP

(Non-Parametric) Bootstrap Robust Optimization for Portfolios and Trading Strategies
Daniel Cunha Oliveira, Grover Guzman, Nick Firoozye
https://arxiv.org/abs/2510.12725 https:/…

(Non-Parametric) Bootstrap Robust Optimization for Portfolios and Trading Strategies
Robust optimization provides a principled framework for decision-making under uncertainty, with broad applications in finance, engineering, and operations research. In portfolio optimization, uncertainty in expected returns and covariances demands methods that mitigate estimation error, parameter instability, and model misspecification. Traditional approaches, including parametric, bootstrap-based, and Bayesian methods, enhance stability by relying on confidence intervals or probabilistic prior…

PSA if you live in Europe & have any tendency to feel like shit in winter AND known counter strategies for feeling less like shit ... start employing them NOW.
(I tend to do ok in winter but I am still ramping up my anti-depression tool use, and I am seeing a bunch of friends look like they are entering their winter holes of misery, and am generally a fan of less misery in the world.)

Identification and optimal control strategies for the transversal splitting of ultra--cold Bose gases
Nikolaus W\"urkner, Yevhenii Kuriatnikov, Karthikeyan Kumaran, Marupaka Venkat Ramana, J\"org Schmiedmayer, Andreas Kugi, Maximilian Pr\"ufer, Andreas Deutschmann-Olek
https://arxiv.org/abs/2510.07113

Identification and optimal control strategies for the transversal splitting of ultra--cold Bose gases
Splitting a Bose--Einstein condensate (BEC) is a key operation in fundamental physics experiments and emerging quantum technologies, where precise preparation of well--defined initial states requires fast yet coherent control of the condensate's nonlinear dynamics. This work formulates the BEC splitting process as an optimal feedforward control problem based on a physically interpretable, reduced--order model identified from limited experimental data. We introduce a systematic calibration strat…

Semi-implicit strategies for the Serre-Green-Naghdi equations in hyperbolic form. Is hyperbolic relaxation really a good idea?
Emanuele Macca, Walter Boscheri, Mario Ricchiuto
https://arxiv.org/abs/2510.07539

Semi-implicit strategies for the Serre-Green-Naghdi equations in hyperbolic form. Is hyperbolic relaxation really a good idea?
The Serre-Green-Naghdi (SGN) equations provide a valuable framework for modelling fully nonlinear and weakly dispersive shallow-water flows. However, their elliptic formulation can considerably increase the computational cost compared to the Saint-Venant equations. To overcome this difficulty, hyperbolic models (hSGN) have been proposed that replace the elliptic operators with first-order hyperbolic formulations augmented by relaxation terms, which recover the original elliptic formulation in t…

Scramble defense among 3 keys Cowboys should deploy vs Jets in Week 5 https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/10/04/3-schematic-strategies-dallas-cowboys-week-5-new-york-jets/8650130…

When men drink, women and children pay the price #health

When men drink, women and children pay the price
Men’s heavy drinking is fueling a hidden crisis affecting millions of women and children worldwide. The harms, from violence to financial instability, are especially severe where gender inequality is high. Experts warn that alcohol policies must include gender-responsive strategies to protect vulnerable families. They call for reforms combining regulation, prevention, and community action.

Smart navigation of a gravity-driven glider with adjustable centre-of-mass
X. Jiang, J. Qiu, K. Gustavsson, B. Mehlig, L. Zhao
https://arxiv.org/abs/2510.09250 https://

Smart navigation of a gravity-driven glider with adjustable centre-of-mass
Artificial gliders are designed to disperse as they settle through a fluid, requiring precise navigation to reach target locations. We show that a compact glider settling in a viscous fluid can navigate by dynamically adjusting its centre-of-mass. Using fully resolved direct numerical simulations (DNS) and reinforcement learning, we find two optimal navigation strategies that allow the glider to reach its target location accurately. These strategies depend sensitively on how the glider interact…

Optimal parallelisation strategies for flat histogram Monte Carlo sampling
Hubert J. Naguszewski, Christopher D. Woodgate, David Quigley
https://arxiv.org/abs/2510.11562 https:/…

Optimal parallelisation strategies for flat histogram Monte Carlo sampling
Flat histogram methods, such as Wang-Landau sampling, provide a means for high throughput calculation of phase diagrams of atomistic/lattice model systems. Many parallelisation schemes with varying degrees of complexity have been proposed to accelerate such sampling simulations. In this study, several widely used schemes are benchmarked - both in isolation and in combination - to establish best practice. The schemes studied include energy domain decomposition with both static sizing of energy s…

Whistles have become a popular raid alert tool in cities across the country
– New Yorkers wear them around their necks to warn neighbors,
the people of New Orleans blast them outside ICE facilities
and Charlotte residents used them to ward off Customs and Border Protection officials.
While strongly associated with Chicago, the tactic is actually one that city organizers learned in part from groups in Los Angeles.
Its spread is illustrative of the many ways cit…

Comparing fine-tuning strategies of MACE machine learning force field for modeling Li-ion diffusion in LiF for batteries
Nada Alghamdi, Paolo de Angelis, Pietro Asinari, Eliodoro Chiavazzo
https://arxiv.org/abs/2510.05020

Comparing fine-tuning strategies of MACE machine learning force field for modeling Li-ion diffusion in LiF for batteries
Machine learning interatomic potentials (MLIPs) are transforming materials science and engineering by enabling the study of complex phenomena, such as those critical to battery operation. In this work, we benchmark the MACE machine learning model against a well-trained DeePMD potential for predicting interstitial lithium diffusivity in LiF, a key component in the solid electrolyte interphase in Li ion batteries. Our results demonstrate that the MACE-MPA-0 foundational model achieves comparable …

🪤 'Corporate capture' strategies harming environmental protection efforts, warn scientists
https://phys.org/news/2025-09-corporate-capture-strategies-environmental-efforts.html

'Corporate capture' strategies harming environmental protection efforts, warn scientists
For over 80 years, researchers have documented how powerful industries can exert influence over the very institutions meant to regulate them—a phenomenon known as "corporate capture."

A 260 meter, 65 floor sky scraper in Zermatt... "a symbolically disruptive gesture that radicalizes the densification trend found in mountain resorts"
Very much hoping this proposal will be shut down before it gets traction! 🤬
https://www.domusweb.it/en/news/gall…

A skyscraper in the heart of the Alps: in Zermatt, the tallest tower in Switzerland
The newly unveiled concept aims to bring to the Swiss Alps the densification and verticality strategies typical of metropolitan agglomerations.

MomentSeg: Moment-Centric Sampling for Enhanced Video Pixel Understanding
Ming Dai, Sen Yang, Boqiang Duan, Wankou Yang, Jingdong Wang
https://arxiv.org/abs/2510.09274 https://

MomentSeg: Moment-Centric Sampling for Enhanced Video Pixel Understanding
Referring Video Object Segmentation (RefVOS) seeks to segment target objects in videos guided by natural language descriptions, demanding both temporal reasoning and fine-grained visual comprehension. Existing sampling strategies for LLM-based approaches typically rely on either handcrafted heuristics or external keyframe models. The former often overlooks essential temporal cues, while the latter increases system complexity. To address this, we propose a unified framework that jointly optimize…

Crypto casinos have become online gambling havens for teens and problem gamblers, propped up by operators who turn social media influencers into recruiters (New York Times)
https://www.nytimes.com/interactive/2025/1

How Online Crypto Casinos Use Celebrities and Livestreamers to Recruit Gamblers
Using exploitative marketing strategies, the illicit gambling websites have profited and lured in a young generation of gamblers.

The 85th edition of De Programmatica Ipsum is out!
This month, we look at the strategies used by major programming languages to manage memory; in our Vidéothèque section, we learn how C and C manage memory in a video by Ryan Baker; and in the Library section, we review "What Every Programmer Should Know About Memory" by Ulrich Drepper.

Towards Hydrogen Autarky? Evaluating Import Costs and Domestic Competitiveness in European Energy Strategies
Philipp Dunkel, Theresa Kl\"utz, Jochen Lin{\ss}en, Detlef Stolten
https://arxiv.org/abs/2510.04669

Towards Hydrogen Autarky? Evaluating Import Costs and Domestic Competitiveness in European Energy Strategies
The design of the future European energy system depends heavily on how Europe balances its domestic hydrogen production against its reliance on imports. This study reveals that neither-extreme full self-sufficiency nor complete reliance on imports-is economically optimal through 2050. Using a high-resolution energy system model accounting for interannual weather variability, we find import cost thresholds favoring domestic production decrease from 3.0 EUR/kg (2030) to 2.5 EUR/kg (2050). However…

Exploiting ID-Text Complementarity via Ensembling for Sequential Recommendation
Liam Collins, Bhuvesh Kumar, Clark Mingxuan Ju, Tong Zhao, Donald Loveland, Leonardo Neves, Neil Shah
https://arxiv.org/abs/2512.17820 https://arxiv.org/pdf/2512.17820 https://arxiv.org/html/2512.17820
arXiv:2512.17820v1 Announce Type: new
Abstract: Modern Sequential Recommendation (SR) models commonly utilize modality features to represent items, motivated in large part by recent advancements in language and vision modeling. To do so, several works completely replace ID embeddings with modality embeddings, claiming that modality embeddings render ID embeddings unnecessary because they can match or even exceed ID embedding performance. On the other hand, many works jointly utilize ID and modality features, but posit that complex fusion strategies, such as multi-stage training and/or intricate alignment architectures, are necessary for this joint utilization. However, underlying both these lines of work is a lack of understanding of the complementarity of ID and modality features. In this work, we address this gap by studying the complementarity of ID- and text-based SR models. We show that these models do learn complementary signals, meaning that either should provide performance gain when used properly alongside the other. Motivated by this, we propose a new SR method that preserves ID-text complementarity through independent model training, then harnesses it through a simple ensembling strategy. Despite this method's simplicity, we show it outperforms several competitive SR baselines, implying that both ID and text features are necessary to achieve state-of-the-art SR performance but complex fusion architectures are not.
toXiv_bot_toot

BlackboxNLP-2025 MIB Shared Task: Exploring Ensemble Strategies for Circuit Localization Methods
Philipp Mondorf, Mingyang Wang, Sebastian Gerstner, Ahmad Dawar Hakimi, Yihong Liu, Leonor Veloso, Shijia Zhou, Hinrich Sch\"utze, Barbara Plank
https://arxiv.org/abs/2510.06811

BlackboxNLP-2025 MIB Shared Task: Exploring Ensemble Strategies for Circuit Localization Methods
The Circuit Localization track of the Mechanistic Interpretability Benchmark (MIB) evaluates methods for localizing circuits within large language models (LLMs), i.e., subnetworks responsible for specific task behaviors. In this work, we investigate whether ensembling two or more circuit localization methods can improve performance. We explore two variants: parallel and sequential ensembling. In parallel ensembling, we combine attribution scores assigned to each edge by different methods-e.g., …

Check out my latest article - "How to Build Influence Without Authority"
https://www.brichapman.com/p/how-to-build-influence-without-authority?utm_source=bri-mastodon&utm_medium=social

Influence Without Authority: How to Get People to Listen Without Being the Boss
Learn how to build real influence without authority. Discover proven strategies for gaining trust, establishing expertise, and leading without a title.

Balancing family and career is a challenge I wholeheartedly accept. As an Online Business Consultant, I empower seniors to lead enriching lives. Have you helped enhance a loved one's wellness? Let’s share insights and strategies to make aging a rewarding adventure! 🌟 #AgingWell #FamilyFirst

"We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe
Alexandra Klymenko, Stephen Meisenbacher, Patrick Gage Kelley, Sai Teja Peddinti, Kurt Thomas, Florian Matthes
https://arxiv.org/abs/2510.00909

"We are not Future-ready": Understanding AI Privacy Risks and Existing Mitigation Strategies from the Perspective of AI Developers in Europe
The proliferation of AI has sparked privacy concerns related to training data, model interfaces, downstream applications, and more. We interviewed 25 AI developers based in Europe to understand which privacy threats they believe pose the greatest risk to users, developers, and businesses and what protective strategies, if any, would help to mitigate them. We find that there is little consensus among AI developers on the relative ranking of privacy risks. These differences stem from salient reas…

Quantum Strategies to Overcome Classical Multiplexing Limits
Tzula B. Propp, Bethany Davies, Jeroen Grimbergen, Emil R. Hellebek, Junior R. Gonzales-Ureta, Janice van Dam, Joshua A. Slater, Anders S. S{\o}rensen, Stephanie D. C. Wehner
https://arxiv.org/abs/2510.06099

Quantum Strategies to Overcome Classical Multiplexing Limits
Near-term quantum networks face a bottleneck due to low quantum communication rates. This degrades performance both by lowering operating speeds and increasing qubit storage time in noisy memories, making some quantum internet applications infeasible. One way to circumvent this bottleneck is multiplexing: combining multiple signals into a single signal to improve the overall rate. Standard multiplexing techniques are classical in that they do not make use of coherence between quantum channels n…

Dance Studio Scaled: Innovative Marketing|Retention|Biz Growth Strategies For Dance Studio Owners
A weekly podcast for dance studio owners and business entrepreneurs ready to simplify, streamline, and succeed...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/dance-

This is just such a waste of money.
https://ec.social-network.europa.eu/@EUCommission/115343249383566862

European Commission (@EUCommission@ec.social-network.europa.eu)
Attached: 1 image Europe is upping its game in AI. Researchers, innovators & policymakers now have stronger support to shape the future of science. Today we launched two AI strategies to boost EU leadership in scientific innovation: 🥼 AI in Science 🔹Access to AI Factories & Gigafactories 🔹Stronger EU & global cooperation 🔹 Impact on major challenges such as climate change and health 🔬 Apply AI: 🔹Enhances EU tech sovereignty 🔹Targeted actions to boost AI in key secto…

Federated Split Learning for Resource-Constrained Robots in Industrial IoT: Framework Comparison, Optimization Strategies, and Future Directions
Wanli Ni, Hui Tian, Shuai Wang, Chengyang Li, Lei Sun, Zhaohui Yang
https://arxiv.org/abs/2510.05713

Federated Split Learning for Resource-Constrained Robots in Industrial IoT: Framework Comparison, Optimization Strategies, and Future Directions
Federated split learning (FedSL) has emerged as a promising paradigm for enabling collaborative intelligence in industrial Internet of Things (IoT) systems, particularly in smart factories where data privacy, communication efficiency, and device heterogeneity are critical concerns. In this article, we present a comprehensive study of FedSL frameworks tailored for resource-constrained robots in industrial scenarios. We compare synchronous, asynchronous, hierarchical, and heterogeneous FedSL fram…

Auto-Stega: An Agent-Driven System for Lifelong Strategy Evolution in LLM-Based Text Steganography
Jiuan Zhou, Yu Cheng, Yuan Xie, Zhaoxia Yin
https://arxiv.org/abs/2510.06565 h…

Auto-Stega: An Agent-Driven System for Lifelong Strategy Evolution in LLM-Based Text Steganography
With the rapid progress of LLMs, high quality generative text has become widely available as a cover for text steganography. However, prevailing methods rely on hand-crafted or pre-specified strategies and struggle to balance efficiency, imperceptibility, and security, particularly at high embedding rates. Accordingly, we propose Auto-Stega, an agent-driven self-evolving framework that is the first to realize self-evolving steganographic strategies by automatically discovering, composing, and a…

"Study finds new strategies to extend the life of used solar panels"
#SolarPower #Energy #Renewables

Old solar panels can power new future
Australia's rapid uptake of solar panels is creating a looming waste problem with most solar photovoltaic (PV) panels being directed to landfill at the end of their life.

Call for Papers: “Mary’s Grandsons: Marian devotion, colonial politics and native strategies against imperial pressure”
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Seeking Book Reviewers for Women and Social Movements in the United States Erica Hayden 10/06/2025 -…
via Input 4 RELCFP

TMC Presents: The Marketing Clubhouse
Each episode, we dive into the stories, strategies, and slightly chaotic realities of working in marketing across Australia and New Zealand...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/the-marketin…

MPC strategies for density profile control with pellet fueling in nuclear fusion tokamaks under uncertainty
Christopher A. Orrico, Hari Prasad Varadarajan, Matthijs van Berkel, Lennard Ceelen, Thomas O. S. J. Bosman, W. P. M. H. Heemels, Dinesh Krishnamoorthy
https://arxiv.org/abs/2510.04784

MPC strategies for density profile control with pellet fueling in nuclear fusion tokamaks under uncertainty
Control of the density profile based on pellet fueling for the ITER nuclear fusion tokamak involves a multi-rate nonlinear system with safety-critical constraints, input delays, and discrete actuators with parametric uncertainty. To address this challenging problem, we propose a multi-stage MPC (msMPC) approach to handle uncertainty in the presence of mixed-integer inputs. While the scenario tree of msMPC accounts for uncertainty, it also adds complexity to an already computationally intensive …

PromptFlow: Training Prompts Like Neural Networks
Jingyi Wang, Hongyuan Zhu, Ye Niu, Yunhui Deng
https://arxiv.org/abs/2510.12246 https://arxiv.org/pdf/251…

PromptFlow: Training Prompts Like Neural Networks
Large Language Models (LLMs) have demonstrated profound impact on Natural Language Processing (NLP) tasks. However, their effective deployment across diverse domains often require domain-specific adaptation strategies, as generic models may underperform when faced with specialized data distributions. Recent advances in prompt engineering (PE) offer a promising alternative to extensive retraining by refining input instructions to align LLM outputs with task objectives. This paradigm has emerged …

Mind the Gap: Linguistic Divergence and Adaptation Strategies in Human-LLM Assistant vs. Human-Human Interactions
Fulei Zhang, Zhou Yu
https://arxiv.org/abs/2510.02645 https://

Mind the Gap: Linguistic Divergence and Adaptation Strategies in Human-LLM Assistant vs. Human-Human Interactions
As Large Language Models (LLMs) are increasingly deployed in customer-facing applications, a critical yet underexplored question is how users communicate differently with LLM chatbots compared to human agent. In this study, we present empirical evidence that users adopt distinct communication styles when users interact with chatbots versus human agents. Our analysis reveals significant differences in grammatical fluency, politeness, and lexical diversity in user language between the two setting…

🗜️ Introducing oavif: faster target quality image compression
#software

Origin To Ambition: The Entrepreneur Journey
Successful entrepreneurs and business owners share the untold stories and practical strategies that fuelled their growth from a simple idea to a thriving enterprise...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/origin

The European Commission outlines its Apply AI Strategy and AI in Science Strategy, aiming to speed up AI adoption in key industries and AI-driven research (Edith Hancock/Wall Street Journal)
https://www.wsj.com/tech/ai/eu…

Leveraging Analog Neutral Atom Quantum Computers for Diversified Pricing in Hybrid Column Generation Frameworks
C\'edrick Perron, Yves B\'erub\'e-Lauzi\`ere, Victor Drouin-Touchette
https://arxiv.org/abs/2510.04946

Leveraging Analog Neutral Atom Quantum Computers for Diversified Pricing in Hybrid Column Generation Frameworks
In this work, we develop new pulse designs and embedding strategies to improve the analog quantum subroutines of hybrid column generation (CG) algorithms based on neutral-atoms quantum computers (NAQCs). These strategies are designed to improve the quality and diversity of the samples generated. We apply these to an important combinatorial optimization (CO) problem in logistics, namely the fleet assignment. Depending on the instance tested, our quantum protocol has a performance that is either …

Better Than "Better Than Nothing": Design Strategies for Enculturated Empathetic AI Robot Companions for Older Adults
Isabel Pedersen, Andrea Slane
https://arxiv.org/abs/2510.01192

Better Than "Better Than Nothing": Design Strategies for Enculturated Empathetic AI Robot Companions for Older Adults
The paper asserts that emulating empathy in human-robot interaction is a key component to achieve satisfying social, trustworthy, and ethical robot interaction with older people. Following comments from older adult study participants, the paper identifies a gap. Despite the acceptance of robot care scenarios, participants expressed the poor quality of the social aspect. Current human-robot designs, to a certain extent, neglect to include empathy as a theorized design pathway. Using rhetorical t…

Call for Papers: “Mary’s Grandsons: Marian devotion, colonial politics and native strategies against imperial pressure”
https://ift.tt/GHAMw3V
Call for Abstracts: Culture and Society in Greek, Roman, and Byzantine Egypt - SCS San Francisco…
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Adaptive LLM-Symbolic Reasoning via Dynamic Logical Solver Composition
Lei Xu, Pierre Beckmann, Marco Valentino, Andr\'e Freitas
https://arxiv.org/abs/2510.06774 https://

Adaptive LLM-Symbolic Reasoning via Dynamic Logical Solver Composition
Neuro-symbolic NLP methods aim to leverage the complementary strengths of large language models and formal logical solvers. However, current approaches are mostly static in nature, i.e., the integration of a target solver is predetermined at design time, hindering the ability to employ diverse formal inference strategies. To address this, we introduce an adaptive, multi-paradigm, neuro-symbolic inference framework that: (1) automatically identifies formal reasoning strategies from problems expr…

Understanding How Cowboys Matchups Influence Betting Trends https://insidethestar.com/understanding-how-cowboys-matchups-influence-betting-trends

Explainability, risk modeling, and segmentation based customer churn analytics for personalized retention in e-commerce
Sanjula De Alwis, Indrajith Ekanayake
https://arxiv.org/abs/2510.11604

Explainability, risk modeling, and segmentation based customer churn analytics for personalized retention in e-commerce
In online retail, customer acquisition typically incurs higher costs than customer retention, motivating firms to invest in churn analytics. However, many contemporary churn models operate as opaque black boxes, limiting insight into the determinants of attrition, the timing of retention opportunities, and the identification of high-risk customer segments. Accordingly, the emphasis should shift from prediction alone to the design of personalized retention strategies grounded in interpretable ev…

Model Predictive Control-Guided Reinforcement Learning for Implicit Balancing
Seyed Soroush Karimi Madahi, Kenneth Bruninx, Bert Claessens, Chris Develder
https://arxiv.org/abs/2510.04868

Model Predictive Control-Guided Reinforcement Learning for Implicit Balancing
In Europe, profit-seeking balance responsible parties can deviate in real time from their day-ahead nominations to assist transmission system operators in maintaining the supply-demand balance. Model predictive control (MPC) strategies to exploit these implicit balancing strategies capture arbitrage opportunities, but fail to accurately capture the price-formation process in the European imbalance markets and face high computational costs. Model-free reinforcement learning (RL) methods are fast…

Towards Human-Centered RegTech: Unpacking Professionals' Strategies and Needs for Using LLMs Safely
Siying Hu, Yaxing Yao, Zhicong Lu
https://arxiv.org/abs/2510.01638 https:…

Towards Human-Centered RegTech: Unpacking Professionals' Strategies and Needs for Using LLMs Safely
Large Language Models are profoundly changing work patterns in high-risk professional domains, yet their application also introduces severe and underexplored compliance risks. To investigate this issue, we conducted semi-structured interviews with 24 highly-skilled knowledge workers from industries such as law, healthcare, and finance. The study found that these experts are commonly concerned about sensitive information leakage, intellectual property infringement, and uncertainty regarding the …

Call for Papers: “Mary’s Grandsons: Marian devotion, colonial politics and native strategies against imperial pressure” https://networks.h-net.org/group/announcements/20128234/cfp-international-conference-marys-grandsons…

Secret communication games and a hierarchy of quasiparticle statistics in 3 1D topological phases
Zhiyuan Wang
https://arxiv.org/abs/2510.11818 https://a…

Secret communication games and a hierarchy of quasiparticle statistics in 3 + 1D topological phases
We show that a family of secret communication challenge games naturally define a hierarchy of emergent quasiparticle statistics in three-dimensional (3D) topological phases. The winning strategies exploit a special class of the recently proposed $R$-paraparticles to allow nonlocal secret communication between the two participating players. We first give a high-level, axiomatic description of emergent $R$-paraparticles, and show that any physical system hosting such particles admits a winning st…

CFP: International Conference: “Mary’s Grandsons: Marian devotion, colonial politics and native strategies against imperial pressure”
https://ift.tt/mEpgtvl
Hill on Baranski, 'The Globalization of Wheat: A Critical History of the Green Revolution' …
via Input 4 RELCFP

LLM-Oriented Token-Adaptive Knowledge Distillation
Xurong Xie, Zhucun Xue, Jiafu Wu, Jian Li, Yabiao Wang, Xiaobin Hu, Yong Liu, Jiangning Zhang
https://arxiv.org/abs/2510.11615

LLM-Oriented Token-Adaptive Knowledge Distillation
Knowledge distillation (KD) is a key technique for compressing large-scale language models (LLMs), yet prevailing logit-based methods typically employ static strategies that are misaligned with the dynamic learning process of student models. These methods typically treat all tokens indiscriminately and apply a single, fixed temperature, resulting in suboptimal knowledge transfer. To address these limitations, we propose LLM-Oriented Token-Adaptive Knowledge Distillation (AdaKD), a novel framewo…

CFP: International Conference: “Mary’s Grandsons: Marian devotion, colonial politics and native strategies against imperial pressure”
https://ift.tt/4UNsG2A
Hill on Baranski, 'The Globalization of Wheat: A Critical History of the Green Revolution' …
via Input 4 RELCFP

Logit Arithmetic Elicits Long Reasoning Capabilities Without Training
Yunxiang Zhang, Muhammad Khalifa, Lechen Zhang, Xin Liu, Ayoung Lee, Xinliang Frederick Zhang, Farima Fatahi Bayat, Lu Wang
https://arxiv.org/abs/2510.09354

Logit Arithmetic Elicits Long Reasoning Capabilities Without Training
Large reasoning models exhibit long chain-of-thought reasoning with strategies such as backtracking and self-correction, though recent studies suggest that these abilities typically require additional training. We first investigate whether such behaviors can be elicited without any training. To this end, we propose a decoding-time approach, ThinkLogit, which utilizes logit arithmetic to tune a target large non-reasoning model for long reasoning using a substantially smaller reasoning model as t…

Eco Radio
Eco Radio explores some of the strategies at the forefront of the move toward sustainability...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/eco-radio/

😮‍💨 Carbon credits have little to no effect on making companies greener, study reveals
#climatechange

Carbon credits have little to no effect on making companies greener, study reveals
Many companies across the world use carbon credits as part of their climate strategies to offset emissions. A carbon credit is a certificate that represents the reduction, avoidance or removal of one ton of carbon dioxide from the atmosphere. While organizations claim these credits help them reduce their environmental impact, there is debate about whether companies that buy credits decarbonize faster. However, an in-depth study of 89 multinationals, published in Nature Communications, reveals t…

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[1/9]:
- SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised...
Shuzheng Si, Zefan Cai, Shuang Zeng, Guoqiang Feng, Jiaxing Lin, Baobao Chang

CFP: International Conference: “Mary’s Grandsons: Marian devotion, colonial politics and native strategies against imperial pressure”
https://ift.tt/enNcbpD
Hill on Baranski, 'The Globalization of Wheat: A Critical History of the Green Revolution' …
via Input 4 RELCFP

The Speech-LLM Takes It All: A Truly Fully End-to-End Spoken Dialogue State Tracking Approach
Nizar El Ghazal, Antoine Caubri\`ere, Valentin Vielzeuf
https://arxiv.org/abs/2510.09424

The Speech-LLM Takes It All: A Truly Fully End-to-End Spoken Dialogue State Tracking Approach
This paper presents a comparative study of context management strategies for end-to-end Spoken Dialog State Tracking using Speech-LLMs. We systematically evaluate traditional multimodal context (combining text history and spoken current turn), full spoken history, and compressed spoken history approaches. Our experiments on the SpokenWOZ corpus demonstrate that providing the full spoken conversation as input yields the highest performance among models of similar size, significantly surpassing p…

Feral By Design
A podcast stealing nature's smartest strategies for our everyday chaos...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/feral-by-design/

CFP: International Conference: “Mary’s Grandsons: Marian devotion, colonial politics and native strategies against imperial pressure”
https://ift.tt/cR7q6JT
Hill on Baranski, 'The Globalization of Wheat: A Critical History of the Green Revolution' …
via Input 4 RELCFP

24 Hour Business Plan Podcast
The business planning podcast for leaders who want clear, practical strategies to drive growth and execution without the jargon...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/24-hour-business-plan/ …

CFP: International Conference: “Mary’s Grandsons: Marian devotion, colonial politics and native strategies against imperial pressure”
https://ift.tt/EWCHPuT
Hill on Baranski, 'The Globalization of Wheat: A Critical History of the Green Revolution' …
via Input 4 RELCFP

Information-Preserving Reformulation of Reasoning Traces for Antidistillation
Jiayu Ding, Lei Cui, Li Dong, Nanning Zheng, Furu Wei
https://arxiv.org/abs/2510.11545 https://

Information-Preserving Reformulation of Reasoning Traces for Antidistillation
Recent advances in Large Language Models (LLMs) show that extending the length of reasoning chains significantly improves performance on complex tasks. While revealing these reasoning traces helps users better follow, verify, and learn from the model's problem-solving process, it also makes them highly vulnerable to unauthorized distillation. To mitigate this risk, proprietary model providers often adopt aggressive protection strategies, such as replacing detailed reasoning with brief summaries…