Tootfinder

I have signed this petition, together with hundreds of other experienced correspondents, photographers and media professionals. We demand immediate authorization to enter Gaza and report independently. https://freedomtoreport.org/

Freedom To Report : Gaza Mission
media enquiries: gazapressmission@pm.me Instagram The Issue What’s happening in Gaza today reveals a far broader crisis: the erosion of press freedom as a pillar of democracy. The people most directly affected are not only the millions of civilians in Gaza enduring war beyond public scrutiny, but also global citizens everywhere whose right to receive free […]

DOJ charges ex-IRL CEO Abraham Shafi with securities and wire fraud for allegedly misleading investors about user growth, concealing personal expenses, and more (Fortune)
https://fortune.com/2025/09/04/tech-ceo-vcs-unicorn-irl-fraud-softbank/

CEO who ran tech unicorn once valued at $1.2 billion charged with fraud after allegedly spending millions on his wedding and art classes
Abraham Shafi ran a buzzy startup called IRL (which stands for 'in real life') but now faces more than 20 years in prison.

So, Altman’s superintelligence will allegedly do away with millions of jobs, but don’t worry kids, after graduating you “could be leaving on some kind of mission to explore the solar system on a spaceship.”
“Some kind of a mission,” huh? That’s a nice way of saying that he’ll shoot useless people into space.
This level of stupidity and arrogance is sickening.

SoK: Data Minimization in Machine Learning
Robin Staab, Nikola Jovanovi\'c, Kimberly Mai, Prakhar Ganesh, Martin Vechev, Ferdinando Fioretto, Matthew Jagielski
https://arxiv.org/abs/2508.10836

SoK: Data Minimization in Machine Learning
Data minimization (DM) describes the principle of collecting only the data strictly necessary for a given task. It is a foundational principle across major data protection regulations like GDPR and CPRA. Violations of this principle have substantial real-world consequences, with regulatory actions resulting in fines reaching hundreds of millions of dollars. Notably, the relevance of data minimization is particularly pronounced in machine learning (ML) applications, which typically rely on large…

Melnyk: Diskussion über Truppenentsendung derzeit "Scheindebatte"
Der frühere ukrainische Botschafter in Deutschland, Andrij Melnyk, sieht in den Diskussionen über eine Entsendung deutscher oder europäischer Friedenstruppen in sein Land derzeit nur eine "Scheindebatte". "Solange man nicht weiß, was genau diese Truppen tun werden und mit welchem Mandat, kann doch kein deutscher Politiker ernsthaft be…
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So, Altman’s superintelligence will allegedly do away with millions of jobs, but don’t worry kids, after graduating you “could be leaving on some kind of mission to explore the solar system on a spaceship.”
“Some kind of a mission,” huh? That’s a nice way of saying that he’ll shoot useless people into space.
This level of stupidity and arrogance is sickening.

So, Altman’s superintelligence will allegedly do away with millions of jobs, but don’t worry kids, after graduating you “could be leaving on some kind of mission to explore the solar system on a spaceship.”
“Some kind of a mission,” huh? That’s a nice way of saying that he’ll shoot useless people into space.
This level of stupidity and arrogance is sickening.

Short-Term Gaze Prediction: Analysis of Individual Differences, Typical and Extreme-Case Errors
Kateryna Melnyk, Lee Friedman, Oleg Komogortsev
https://arxiv.org/abs/2509.07126 …

Short-Term Gaze Prediction: Analysis of Individual Differences, Typical and Extreme-Case Errors
Gaze prediction is a diverse field of study with multiple research focuses and practical applications. This article investigates how recurrent neural networks and transformers perform short-term gaze prediction. We used three models: a three-layer long-short-term memory (LSTM) network, a simple transformer-encoder model (TF), and a classification-predictor network (ClPr), which simultaneously classifies the signal into eye movement events and predicts the positions of gaze. The performance of t…

The Democratic Paradox in Large Language Models' Underestimation of Press Freedom
I. Loaiza, R. Vestrelli, A. Fronzetti Colladon, R. Rigobon
https://arxiv.org/abs/2506.18045

The Democratic Paradox in Large Language Models' Underestimation of Press Freedom
As Large Language Models (LLMs) increasingly mediate global information access for millions of users worldwide, their alignment and biases have the potential to shape public understanding and trust in fundamental democratic institutions, such as press freedom. In this study, we uncover three systematic distortions in the way six popular LLMs evaluate press freedom in 180 countries compared to expert assessments of the World Press Freedom Index (WPFI). The six LLMs exhibit a negative misalignmen…

Gamification of Immersive Cervical Rehabilitation Exercises in VR: An Exploratory Study on Chin Tuck and Range of Motion Exercises
Haitham Abdelsalam, Chanelle Montpetit, Arash Harirpoush, Maryse Fortin, Yiming Xiao
https://arxiv.org/abs/2508.18580

Gamification of Immersive Cervical Rehabilitation Exercises in VR: An Exploratory Study on Chin Tuck and Range of Motion Exercises
Chronic neck pain is a prevalent condition that affects millions of individuals worldwide, causing significant individual suffering and socioeconomic burdens. Although exercise rehabilitation is a staple in relieving pain and improving muscle function for the condition, traditional one-on-one rehabilitation sessions are costly and suffer from poor adherence and accessibility for the patients. Thanks to the increasing accessibility and recent advancements in sensing and display technology, virtu…