Tootfinder

Magentic-UI: Towards Human-in-the-loop Agentic Systems
Hussein Mozannar, Gagan Bansal, Cheng Tan, Adam Fourney, Victor Dibia, Jingya Chen, Jack Gerrits, Tyler Payne, Matheus Kunzler Maldaner, Madeleine Grunde-McLaughlin, Eric Zhu, Griffin Bassman, Jacob Alber, Peter Chang, Ricky Loynd, Friederike Niedtner, Ece Kamar, Maya Murad, Rafah Hosn, Saleema Amershi
http…

Magentic-UI: Towards Human-in-the-loop Agentic Systems
AI agents powered by large language models are increasingly capable of autonomously completing complex, multi-step tasks using external tools. Yet, they still fall short of human-level performance in most domains including computer use, software development, and research. Their growing autonomy and ability to interact with the outside world, also introduces safety and security risks including potentially misaligned actions and adversarial manipulation. We argue that human-in-the-loop agentic sy…

How Peter Thiel and Hulk Hogan broke Gawker. When Gawker outed billionaire investor Peter Thiel, he decided to drive it secretly out of business. How? With Hulk Hogan, a sex tape, and $10 million
https://www.wired.com/story/ryan-holiday-conspiracy-peter-thi…

Linearization Scheme of Shallow Water Equations for Quantum Algorithms
Till Appel, Zofia Binczyk, Francesco Conoscenti, Petr Ivashkov, Seyed Ali Hosseini, Ricardo Garcia, Carmen Recio
https://arxiv.org/abs/2506.22345

Linearization Scheme of Shallow Water Equations for Quantum Algorithms
Computational fluid dynamics lies at the heart of many issues in science and engineering, but solving the associated partial differential equations remains computationally demanding. With the rise of quantum computing, new approaches have emerged to address these challenges. In this work, we investigate the potential of quantum algorithms for solving the shallow water equations, which are, for example, used to model tsunami dynamics. By extending a linearization scheme previously developed in […

Toward the Autonomous AI Doctor: Quantitative Benchmarking of an Autonomous Agentic AI Versus Board-Certified Clinicians in a Real World Setting
Hashim Hayat, Maksim Kudrautsau, Evgeniy Makarov, Vlad Melnichenko, Tim Tsykunou, Piotr Varaksin, Matt Pavelle, Adam Z. Oskowitz
https://arxiv.org/abs/2507.22902

Toward the Autonomous AI Doctor: Quantitative Benchmarking of an Autonomous Agentic AI Versus Board-Certified Clinicians in a Real World Setting
Background: Globally we face a projected shortage of 11 million healthcare practitioners by 2030, and administrative burden consumes 50% of clinical time. Artificial intelligence (AI) has the potential to help alleviate these problems. However, no end-to-end autonomous large language model (LLM)-based AI system has been rigorously evaluated in real-world clinical practice. In this study, we evaluated whether a multi-agent LLM-based AI framework can function autonomously as an AI doctor in a vir…

ich bin peter von frosta

Reservoir Computation with Networks of Differentiating Neuron Ring Oscillators
Alexander Yeung, Peter DelMastro, Arjun Karuvally, Hava Siegelmann, Edward Rietman, Hananel Hazan
https://arxiv.org/abs/2507.21377

Reservoir Computation with Networks of Differentiating Neuron Ring Oscillators
Reservoir Computing is a machine learning approach that uses the rich repertoire of complex system dynamics for function approximation. Current approaches to reservoir computing use a network of coupled integrating neurons that require a steady current to maintain activity. Here, we introduce a small world graph of differentiating neurons that are active only when there are changes in input as an alternative to integrating neurons as a reservoir computing substrate. We find the coupling strengt…

“On the other side of the screen, it all looks so easy.”
▶️ San Diego ComicCon: "Tron: Ares" panel with Jeff Bridges, Jared Leto, Greta Lee, Jodie Turner Smith, Evan Peter's, Gillian Anderson, Hasan Minaj, Arturo Castro
https://youtube.com/watch?v=h_oBojhtN8

Crystalline electric field and large anomalous Hall effect in the candidate topological material CeGaSi
Rajesh Swami, Daloo Ram, Anusree C. V, V. Kanchana, Z. Hossain
https://arxiv.org/abs/2507.20733

Crystalline electric field and large anomalous Hall effect in the candidate topological material CeGaSi
We report a comprehensive investigation of CeGaSi single crystals, including magnetic, thermodynamic, electronic, and magnetotransport properties. The powder x-ray diffraction refinement revealed that CeGaSi crystallizes in LaPtSi-type tetragonal structure with space group I41md. The electrical resistivity data show a metallic nature with a sharp drop occurring around T_m = 11 K, revealing a magnetic phase transition, which is confirmed by magnetic susceptibility and heat capacity data. The mag…

Use as Directed? A Comparison of Software Tools Intended to Check Rigor and Transparency of Published Work
Peter Eckmann, Adrian Barnett, Alexandra Bannach-Brown, Elisa Pilar Bascunan Atria, Guillaume Cabanac, Louise Delwen Owen Franzen, Ma{\l}gorzata Anna Gazda, Kaitlyn Hair, James Howison, Halil Kilicoglu, Cyril Labbe, Sarah McCann, Vladislav Nachev, Martijn Roelandse, Maia Salholz-Hillel, Robert Schulz, Gerben ter Riet, Colby Vorland, Anita Bandrowski, Tracey Weissgerber

Use as Directed? A Comparison of Software Tools Intended to Check Rigor and Transparency of Published Work
The causes of the reproducibility crisis include lack of standardization and transparency in scientific reporting. Checklists such as ARRIVE and CONSORT seek to improve transparency, but they are not always followed by authors and peer review often fails to identify missing items. To address these issues, there are several automated tools that have been designed to check different rigor criteria. We have conducted a broad comparison of 11 automated tools across 9 different rigor criteria from t…

Observability and State Estimation for Smooth and Nonsmooth Differential Algebraic Equation Systems
Hesham Abdelfattah, Sameh A. Eisa, Peter Stechlinski
https://arxiv.org/abs/2508.18476

Observability and State Estimation for Smooth and Nonsmooth Differential Algebraic Equation Systems
In this work, we extend the sensitivity-based rank condition (SERC) test for local observability to another class of systems, namely smooth and nonsmooth differential-algebraic equation (DAE) systems of index-1. The newly introduced test for DAEs, which we call the lexicographic SERC (L-SERC) observability test, utilizes the theory of lexicographic differentiation to compute sensitivity information. Moreover, the newly introduced L-SERC observability test is useful in the context of partial obs…