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🔊 #NowPlaying on #BBCRadio3:
#BBCProms
- 2025
Bill Bailey's Proms debut, Louise Alder sings My Fair Lady & Alison Balsom plays Hummel. Brian May & Roger Taylor join the party to mark the 50th anniversary of Bohemian Rhapsody
Relisten now 👇
https://www.bbc.co.uk/programmes/m002j624

Large Language Model Hacking: Quantifying the Hidden Risks of Using LLMs for Text Annotation
Joachim Baumann, Paul R\"ottger, Aleksandra Urman, Albert Wendsj\"o, Flor Miriam Plaza-del-Arco, Johannes B. Gruber, Dirk Hovy
https://arxiv.org/abs/2509.08825

Large Language Model Hacking: Quantifying the Hidden Risks of Using LLMs for Text Annotation
Large language models (LLMs) are rapidly transforming social science research by enabling the automation of labor-intensive tasks like data annotation and text analysis. However, LLM outputs vary significantly depending on the implementation choices made by researchers (e.g., model selection, prompting strategy, or temperature settings). Such variation can introduce systematic biases and random errors, which propagate to downstream analyses and cause Type I, Type II, Type S, or Type M errors. W…

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Boney M.:
🎵 Ma Baker
#BoneyM
https://bourbonflava.bandcamp.com/track/boney-m-ma-baker-bourbon-edit
https://open.spotify.com/track/1BqnZOkYJbvYLOhN0qPJDm
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Beyond expected value: geometric mean optimization for long-term policy performance in reinforcement learning
Xinyi Sheng, Dominik Baumann
https://arxiv.org/abs/2508.21443 https…

Beyond expected value: geometric mean optimization for long-term policy performance in reinforcement learning
Reinforcement learning (RL) algorithms typically optimize the expected cumulative reward, i.e., the expected value of the sum of scalar rewards an agent receives over the course of a trajectory. The expected value averages the performance over an infinite number of trajectories. However, when deploying the agent in the real world, this ensemble average may be uninformative for the performance of individual trajectories. Thus, in many applications, optimizing the long-term performance of individ…

I think this is it for me with D.K. Bananza! ❤️
All I’m missing is one skill
upgrade but it’s just a chore to exchange 24 bananas!
777/777 Bananas 🍌
696/696 Fossils 🦴
110/110 Music Discs 💿
Perfect game, no notes!

Cryogenic geometric anti-spring vibration isolation system
L. Feenstra, S. Dom\'inguez-Calder\'on, K. van Oosten, H. S. M. Bohemen, T. Benschop, M. Brinkman, M. Li, E. Hennes, R. Cornelissen, B. J. Hensen, A. Bertolini, M. P. Allan
https://arxiv.org/abs/2509.09010

Cryogenic geometric anti-spring vibration isolation system
The combination of low temperature and low vibration levels is key for ultrasensitive sensing applications such as scanning probe microscopy, large-mass quantum mechanics, and gravitational wave detection. Unfortunately, closed-cycle cryostats using pulse tube or GM coolers introduce strong low-frequency vibrations starting at 1 Hz. Mass-spring systems allow passive isolation, but for low-frequency applications the required spring constants and masses become impractical. Blade-based geometric a…

Study of HI Turbulence in the SMC Using Multi-point Structure Functions
Bumhyun Lee, Min-Young Lee, Jungyeon Cho, Nickolas M. Pingel, Yik Ki Ma, Katie Jameson, James Dempsey, Helga D\'enes, John M. Dickey, Christoph Federrath, Steven Gibson, Gilles Joncas, Ian Kemp, Shin-Jeong Kim, Callum Lynn, Antoine Marchal, N. M. McClure-Griffiths, Hiep Nguyen, Amit Seta, Juan D. Soler, Sne\v{z}ana Stanimirovi\'c, Jacco Th. van Loon

Study of HI Turbulence in the SMC Using Multi-point Structure Functions
Turbulence in the interstellar medium (ISM) plays an important role in many physical processes, including forming stars and shaping complex ISM structures. In this work, we investigate the HI turbulent properties of the Small Magellanic Cloud (SMC) to reveal what physical mechanisms drive the turbulence and at what scales. Using the high-resolution HI data of the Galactic ASKAP (GASKAP) survey and multi-point structure functions (SF), we perform a statistical analysis of HI turbulence in 34 sub…

Constraints on Long-Range Forces in De Sitter Space
Daniel Baumann, Kurt Hinterbichler, Callum R. T. Jones, Austin Joyce, Hayden Lee, Jiajie Mei, Nathan Meurrens
https://arxiv.org/abs/2508.18353

Constraints on Long-Range Forces in De Sitter Space
The representation theory of de Sitter space admits partially massless (PM) particles, but whether such particles can participate in consistent interacting theories remains unclear. We investigate the consistency of theories containing PM fields, particularly when these fields are coupled to gravity. Our strategy exploits the fact that PM fields correspond to partially conserved currents on the spacetime boundary, which generate symmetries. These symmetries place stringent constraints on correl…

Two-Color X-Ray Coherent Diffraction Imaging of Helium Nanodroplets
Linos Hecht, Yevheniy Ovcharenko, Asbj{\o}rn {\O}. L{\ae}gdsmand, Bj\"orn Bastian, Thomas M. Baumann, Alessandro Colombo, Subhendu De, Alberto De Fanis, Simon Dold, Thomas Fennel, Robert Hartmann, Katharina Kolatzki, Sivarama Krishnan, Bj\"orn Kruse, Aaron C. Laforge, Bruno Langbehn, Suddhasattwa Mandal, Tommaso Mazza, Cristian Medina, Christian Peltz, Thomas Pfeifer, Bj\"orn Senfftleben, Keshav Sishodia…

Two-Color X-Ray Coherent Diffraction Imaging of Helium Nanodroplets
Two-color X-ray imaging with Free Electron Laser pulses offers a powerful approach for probing ultrafast structural dynamics in nanoscale systems, combining (near-)atomic spatial resolution with femtosecond temporal precision. The first X-ray pulse captures the object's initial state, while the time-delayed second pulse records its subsequent evolution. A key challenge lies in disentangling the two views simultaneously recorded by the same detector. We demonstrate the realization of this approa…