Tootfinder

Prince William: How much are you paying in tax?
£22.9 million. That's the staggering amount Prince William raked in last year. But unlike his father, who revealed his tax contributions while he was Prince of Wales, Prince William is refusing to say how much tax he pays. What has he got to hide?
https://38d.gs/fd5e

Prince William: Publish your taxes
Prince William made £22.9M last year. But he won’t say how much tax he paid. What is he trying to hide? We fund the monarchy, so the least we deserve is transparency. Sign the petition if you agree:

Bridging ASR and LLMs for Dysarthric Speech Recognition: Benchmarking Self-Supervised and Generative Approaches
Ahmed Aboeitta, Ahmed Sharshar, Youssef Nafea, Shady Shehata
https://arxiv.org/abs/2508.08027

Bridging ASR and LLMs for Dysarthric Speech Recognition: Benchmarking Self-Supervised and Generative Approaches
Speech Recognition (ASR) due to phoneme distortions and high variability. While self-supervised ASR models like Wav2Vec, HuBERT, and Whisper have shown promise, their effectiveness in dysarthric speech remains unclear. This study systematically benchmarks these models with different decoding strategies, including CTC, seq2seq, and LLM-enhanced decoding (BART,GPT-2, Vicuna). Our contributions include (1) benchmarking ASR architectures for dysarthric speech, (2) introducing LLM-based decoding to …

A Survey on Non-Intrusive ASR Refinement: From Output-Level Correction to Full-Model Distillation
Mohammad Reza Peyghan, Fatemeh Rajabi, Saman Soleimani Roudi, Saeedreza Zouashkiani, Sajjad Amini, Shahrokh Ghaemmaghami
https://arxiv.org/abs/2508.07285

A Survey on Non-Intrusive ASR Refinement: From Output-Level Correction to Full-Model Distillation
Automatic Speech Recognition (ASR) has become an integral component of modern technology, powering applications such as voice-activated assistants, transcription services, and accessibility tools. Yet ASR systems continue to struggle with the inherent variability of human speech, such as accents, dialects, and speaking styles, as well as environmental interference, including background noise. Moreover, domain-specific conversations often employ specialized terminology, which can exacerbate tran…

Content Moderation Futures
Lindsay Blackwell
https://arxiv.org/abs/2509.09076 https://arxiv.org/pdf/2509.09076

Content Moderation Futures
This study examines the failures and possibilities of contemporary social media governance through the lived experiences of various content moderation professionals. Drawing on participatory design workshops with 33 practitioners in both the technology industry and broader civil society, this research identifies significant structural misalignments between corporate incentives and public interests. While experts agree that successful content moderation is principled, consistent, contextual, pro…

Toward quantum-safe scalable networks: an open, standards-aware key management framework
Ane Sanz, Asier Atutxa, David Franco, Jasone Astorga, Eduardo Jacob, Diego L\'opez
https://arxiv.org/abs/2509.09453

Toward quantum-safe scalable networks: an open, standards-aware key management framework
With the advent of quantum computing, the increasing threats to security poses a great challenge to communication networks. Recent innovations in this field resulted in promising technologies such as Quantum Key Distribution (QKD), which enables the generation of unconditionally secure keys, establishing secure communications between remote nodes. Additionally, QKD networks enable the interconnection of multinode architectures, extending the point-to-point nature of QKD. However, due to the lim…

A Comprehensive Analysis of Evolving Permission Usage in Android Apps: Trends, Threats, and Ecosystem Insights
Ali Alkinoon, Trung Cuong Dang, Ahod Alghuried, Abdulaziz Alghamdi, Soohyeon Choi, Manar Mohaisen, An Wang, Saeed Salem, David Mohaisen
https://arxiv.org/abs/2508.02008

A Comprehensive Analysis of Evolving Permission Usage in Android Apps: Trends, Threats, and Ecosystem Insights
The proper use of Android app permissions is crucial to the success and security of these apps. Users must agree to permission requests when installing or running their apps. Despite official Android platform documentation on proper permission usage, there are still many cases of permission abuse. This study provides a comprehensive analysis of the Android permission landscape, highlighting trends and patterns in permission requests across various applications from the Google Play Store. By dis…

Effects of One-particle Reduced Density Matrix Optimization in Variational Quantum Eigensolvers
Amanda Marques de Lima, Erico Souza Teixeira, Eivson Darlivam Rodrigues de Aguiar Silva, Ricardo Luiz Longo
https://arxiv.org/abs/2507.07667

Effects of One-particle Reduced Density Matrix Optimization in Variational Quantum Eigensolvers
The variational quantum eigensolver (VQE) is a promising method for simulating molecular systems on near-term quantum computers. This approach employs energy estimation; however, other relevant molecular properties can be extracted from the one-particle reduced density matrix (1-RDM) generated by VQE. The accuracy of these properties strongly depends on the reliability and convergence of the 1-RDM, which is not guaranteed by energy-only optimization. Thus, we investigate the effect of optimizin…

Scaling Truth: The Confidence Paradox in AI Fact-Checking
Ihsan A. Qazi, Zohaib Khan, Abdullah Ghani, Agha A. Raza, Zafar A. Qazi, Wassay Sajjad, Ayesha Ali, Asher Javaid, Muhammad Abdullah Sohail, Abdul H. Azeemi
https://arxiv.org/abs/2509.08803

Scaling Truth: The Confidence Paradox in AI Fact-Checking
The rise of misinformation underscores the need for scalable and reliable fact-checking solutions. Large language models (LLMs) hold promise in automating fact verification, yet their effectiveness across global contexts remains uncertain. We systematically evaluate nine established LLMs across multiple categories (open/closed-source, multiple sizes, diverse architectures, reasoning-based) using 5,000 claims previously assessed by 174 professional fact-checking organizations across 47 languages…

> As currently constructed, AI is an oligarchy-enriching, worker-immiserating, energy-depleting, brain-rotting economic bubble in waiting. Democrats can get on the public’s side here.
I haven't even read the article but (considering how strongly I agree with the premises here) I'm mostly just sad about how clearly this highlights the financial capture of the DNC
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Democrats Must Oppose the AI Industry - The American Prospect

Democrats Must Oppose the AI Industry
As currently constructed, AI is an oligarchy-enriching, worker-immiserating, energy-depleting, brain-rotting economic bubble in waiting. Democrats can get on the public’s side here.

The American president wrote, “Vladimir, STOP!” on his Truth Social account in April,
-- but the Russian president did not halt his offensive in eastern Ukraine.
The Ukrainian president called for an unconditional cease-fire in May,
-- but the Russians did not agree to stop attacking Ukrainian civilians from the air.
Donald Trump repeatedly promised, during his campaign, that he would end the war “in one day,”
-- but the war is not over.
He spoke to Vla…

America's Great Realignment Toward Putin
Donald Trump is giving Vladimir Putin every incentive to keep killing Ukrainians.