Tootfinder

heise | Die schärfste VR-Brille für Sim-Fans: Pimax Crystal Super im Test
Die Pimax Crystal Super stellt knapp 30 Millionen Pixel dar, das entspricht fast 8K. Wir testen, ob die PC-VR-Brille auch abseits des Datenblatts überzeugt.

Disney sent a cease-and-desist to Character.AI for misusing its characters in harmful ways, including sexual exploitation; the startup removed Disney characters (Sara Fischer/Axios)
https://www.axios.com/2025/09/30/disney-characterai-cease-desist

Scoop: Disney sends cease and desist letter to Character.AI
Disney believes the responsibility falls on AI platforms to take down content derived from copyrighted works.

O PSD do Algarve é só nível. Gente da melhor estirpe.
(sim, é sarcasmo)
https://www.sapo.pt/noticias/regioes/pais-acusam-cristovao-norte-de-divulgar-foto-_68b35d8ec60bb12161e558d1

Pais acusam Cristóvão Norte de divulgar foto de jovem morto em acidente
Pais de Gonçalo Oliveira acusam Cristóvão Norte de divulgar foto do filho morto em acidente sem consentimento.

Generalized Correctness Models: Learning Calibrated and Model-Agnostic Correctness Predictors from Historical Patterns
Hanqi Xiao, Vaidehi Patil, Hyunji Lee, Elias Stengel-Eskin, Mohit Bansal
https://arxiv.org/abs/2509.24988

Generalized Correctness Models: Learning Calibrated and Model-Agnostic Correctness Predictors from Historical Patterns
Generating accurate and calibrated confidence estimates is critical for deploying LLMs in high-stakes or user-facing applications, and remains an open challenge. Prior research has often framed confidence as a problem of eliciting a model's "self-knowledge", i.e., the ability of an LLM to judge whether its own answers are correct; this approach implicitly assumes that there is some privileged information about the answer's correctness that is accessible to the model itself. However, our experim…

game_thrones: Game of Thrones coappearances
Network of coappearances of characters in the Game of Thrones series, by George R. R. Martin, and in particular coappearances in the book "A Storm of Swords." Nodes are unique characters, and edges are weighted by the number of times the two characters' names appeared within 15 words of each other in the text.
This network has 107 nodes and 352 edges.
Tags: Social, Fictional, Weighted

Constant-depth circuits for polynomial GCD over any characteristic
Somnath Bhattacharjee, Mrinal Kumar, Shanthanu Rai, Varun Ramanathan, Ramprasad Saptharishi, Shubhangi Saraf
https://arxiv.org/abs/2506.23220

Constant-depth circuits for polynomial GCD over any characteristic
We show that the GCD of two univariate polynomials can be computed by (piece-wise) algebraic circuits of constant depth and polynomial size over any sufficiently large field, regardless of the characteristic. This extends a recent result of Andrews & Wigderson who showed such an upper bound over fields of zero or large characteristic. Our proofs are based on a recent work of Bhattacharjee, Kumar, Rai, Ramanathan, Saptharishi \& Saraf that shows closure of constant depth algebraic circuits und…

CircuitHunt: Automated Quantum Circuit Screening for Superior Credit-Card Fraud Detection
Nouhaila Innan, Akshat Singh, Muhammad Shafique
https://arxiv.org/abs/2508.21366 https:…

CircuitHunt: Automated Quantum Circuit Screening for Superior Credit-Card Fraud Detection
Designing effective quantum models for real-world tasks remains a key challenge within Quantum Machine Learning (QML), particularly in applications such as credit card fraud detection, where extreme class imbalance and evolving attack patterns demand both accuracy and adaptability. Most existing approaches rely on either manually designed or randomly initialized circuits, leading to high failure rates and limited scalability. In this work, we introduce CircuitHunt, a fully automated quantum cir…

New Dallas Cowboys CB Christian Matthew's jersey number revealed https://www.si.com/nfl/cowboys/news/new-dallas-cowboys-cornerback-christian-matthew-jersey-number

Reinforcement Learning for Optimizing Large Qubit Array based Quantum Sensor Circuits
Laxmisha Ashok Attisara, Sathish Kumar
https://arxiv.org/abs/2508.21253 https://

Reinforcement Learning for Optimizing Large Qubit Array based Quantum Sensor Circuits
As the number of qubits in a sensor increases, the complexity of designing and controlling the quantum circuits grows exponentially. Manually optimizing these circuits becomes infeasible. Optimizing entanglement distribution in large-scale quantum circuits is critical for enhancing the sensitivity and efficiency of quantum sensors [5], [6]. This paper presents an engineering integration of reinforcement learning with tensor-network-based simulation (MPS) for scalable circuit optimization for op…