The anti-coercion instrument, or ‘trade bazooka’, is designed to shield against foreign pressure, says civil liberties campaigner Johnny Ryan

CFA: 8th Scientific Understanding and Representation (SURe) annual workshop   Call for abstracts        We invite authors to submit abstracts of up to 750-words for the upcoming...

Jane Goodall Institute says ‘tireless advocate’ for natural world died in California during US speaking tour The world-renowned primatologist Jane Goodall has died at the age of 91, her institute has said. The Jane Goodall Institute announced that she had passed away of natural causes while in California as part of a US speaking tour. Continue reading...

This paper explores the development and evaluation of physics-specific large-scale AI models, which we refer to as large physics models (LPMs). These models, based on foundation models such as large language models (LLMs) are tailored to address the unique demands of physics research. LPMs can function independently or as part of an integrated framework. This framework can incorporate specialized tools, including symbolic reasoning modules for mathematical manipulations, frameworks to analyse specific experimental and simulated data, and mechanisms for synthesizing insights from physical theories and scientific literature. We begin by examining whether the physics community should actively develop and refine dedicated models, rather than relying solely on commercial LLMs. We then outline how LPMs can be realized through interdisciplinary collaboration among experts in physics, computer science, and philosophy of science. To integrate these models effectively, we identify three key pillars: Development, Evaluation, and Philosophical Reflection. Development focuses on constructing models capable of processing physics texts, mathematical formulations, and diverse physical data. Evaluation assesses accuracy and reliability through testing and benchmarking. Finally, Philosophical Reflection encompasses the analysis of broader implications of LLMs in physics, including their potential to generate new scientific understanding and what novel collaboration dynamics might arise in research. Inspired by the organizational structure of experimental collaborations in particle physics, we propose a similarly interdisciplinary and collaborative approach to building and refining large physics models. This roadmap provides specific objectives, defines pathways to achieve them, and identifies challenges that must be addressed to realise physics-specific large scale AI models.

The PSA Office Hour aims to facilitate interactions between our graduate student membership and prominent philosophers of science, and in a more controlled, accessible, and carbon-conscious setting…

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WHAT IS IT ABOUT VITAMINS? - VITAMINS AS INVESTIGATIVE KINDS

On Elephants and Octopuses: Two Models of Pluralistic Policy Advice

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