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Average Power-Density Spectrum of short and long Fermi-GBM Gamma-Ray Bursts
Else Magnus, Jannes Loonen, Rose S. Stanley, Paul Coppin, Krijn D. de Vries, Nick van Eijndhoven
https://arxiv.org/abs/2506.09610

Average Power-Density Spectrum of short and long Fermi-GBM Gamma-Ray Bursts
Gamma-ray bursts (GRBs) are the most powerful electromagnetic outbursts in the Universe and emit a vast amount of their energy in the form of gamma rays. Their duration is extremely short on cosmic timescales, but they show a wealth of time variability in their light curves. Properties of this variability may carry information about the processes the gamma rays emerge from, which are still poorly understood. This research investigates the redshift-corrected gamma-ray light curves of 159 long GR…

Darstellen wie klein der Schaden von sogenanntem Bürgergeld­betrug ist, wie wenige das System betrügen, klar, ist wichtig. Allerdings sind viele erst zufrieden, wenn diejenigen, die finanzielle Leistungen bekommen, ordentlich drangsaliert werden – selbst wenn dies nachgewiesener­maßen zusätzliche Kosten verursacht und gesellschaftlich schädlich ist.
Außer natürlich beim Müller Paule, der ist wirklich schlimm dran, und da will das Amt immer so absurde Sachen, den sollten sie endlich in …

Quantum Adiabatic Generation of Human-Like Passwords
Sascha M\"ucke, Raoul Heese, Thore Gerlach, David Biesner, Loong Kuan Lee, Nico Piatkowski
https://arxiv.org/abs/2506.08917

Quantum Adiabatic Generation of Human-Like Passwords
Generative Artificial Intelligence (GenAI) for Natural Language Processing (NLP) is the predominant AI technology to date. An important perspective for Quantum Computing (QC) is the question whether QC has the potential to reduce the vast resource requirements for training and operating GenAI models. While large-scale generative NLP tasks are currently out of reach for practical quantum computers, the generation of short semantic structures such as passwords is not. Generating passwords that mi…

El 5 de septiembre tendremos un nuevo disco del genio David Byrne. ¡Excelente noticia!
https://www.nacionrock.com/who-is-the-sky-david-byrne-regresa-con-nuevo-album-de-estudio-escucha-el-primer-adelanto/…

‘The court now grants’: Judge finally agrees to toss Jan. 6 defendant’s gun case in light of Trump pardon and decisions on where the government’s ‘resources are best spent’
https://lawandcrime.com/high-profile/the-court-now-grants-judge-finally-agrees-to-toss-jan-6-defendants-gun-case-in-light-of-trump-pardon-and-decisions-on-where-the-governments-resources-are-best-spent/

Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation
Bowen Zheng, Tianming Yang
https://arxiv.org/abs/2506.09376 https://

Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation
Diffusion distillation is a widely used technique to reduce the sampling cost of diffusion models, yet it often requires extensive training, and the student performance tends to be degraded. Recent studies show that incorporating a GAN objective may alleviate these issues, yet the underlying mechanism remains unclear. In this work, we first identify a key limitation of distillation: mismatched step sizes and parameter numbers between the teacher and the student model lead them to converge to di…

Meta reveals more information about its research glasses Aria Gen 2, including their form factor, computer vision cameras, sensors, and on-device compute (Emma Roth/The Verge)
https://www.theverge.com/news/679707/meta-aria-gen-2-upgrades-specs-ai

Here’s what’s inside Meta’s experimental new smart glasses
Meta has revealed the technical details about Aria Gen 2, the latest version of its experimental smart glasses designed for researchers.

Position: Simulating Society Requires Simulating Thought
Chance Jiajie Li, Jiayi Wu, Zhenze Mo, Ao Qu, Yuhan Tang, Kaiya Ivy Zhao, Yulu Gan, Jie Fan, Jiangbo Yu, Jinhua Zhao, Paul Liang, Luis Alonso, Kent Larson
https://arxiv.org/abs/2506.06958

Position: Simulating Society Requires Simulating Thought
Simulating society with large language models (LLMs), we argue, requires more than generating plausible behavior -- it demands cognitively grounded reasoning that is structured, revisable, and traceable. LLM-based agents are increasingly used to emulate individual and group behavior -- primarily through prompting and supervised fine-tuning. Yet they often lack internal coherence, causal reasoning, and belief traceability -- making them unreliable for analyzing how people reason, deliberate, or …

Solving Nash Equilibria in Nonlinear Differential Games for Common-Pool Resources
Yongyang Cai, Anastasios Xepapadeas, Aart de Zeeuw
https://arxiv.org/abs/2506.06646

Solving Nash Equilibria in Nonlinear Differential Games for Common-Pool Resources
Many resources are provided by an ecological system that is vulnerable to tipping when exceeding a certain level of pollution, with a sudden big loss of ecosystem services. An ecological system is usually also a common-pool resource and therefore vulnerable to suboptimal use resulting from non-cooperative behavior. An analysis requires methods to derive cooperative and non-cooperative solutions for managing a dynamical system with tipping points. Such a game is a differential game which has two…