Follow the ideas that keep turning up in Hacker News discussions.
Anders Sandberg, Eric Drexler, Toby Ord
The Fermi paradox is the conflict between an expectation of a high {\em ex ante} probability of intelligent life elsewhere in the universe and the apparently lifeless universe we in fact observe.
Joel Lehman, Jeff Clune, Dusan Misevic +50
Biological evolution provides a creative fount of complex and subtle adaptations, often surprising the scientists who discover them.
Siavash Golkar, Mariel Pettee, Michael Eickenberg +11
Due in part to their discontinuous and discrete default encodings for numbers, Large Language Models (LLMs) have not yet been commonly used to process numerically-dense scientific datasets.
Zhe Jia, Marco Maggioni, Benjamin Staiger +1
Every year, novel NVIDIA GPU designs are introduced.
Nassim Nicholas Taleb, Rupert Read, Raphael Douady +2
We present a non-naive version of the Precautionary (PP) that allows us to avoid paranoia and paralysis by confining precaution to specific domains and problems.
Mike Innes, Alan Edelman, Keno Fischer +4
Scientific computing is increasingly incorporating the advancements in machine learning and the ability to work with large amounts of data.
Daniel Shawcross Wilkerson
Most music theory books are like medieval medical textbooks: they contain unjustified superstition, non-reasoning, and funny symbols glorified by Latin phrases.
John Keiser, Daniel Lemire
The majority of text is stored in UTF-8, which must be validated on ingestion.
Aaron Clauset, Cosma Rohilla Shalizi, M. E. J. Newman
Power-law distributions occur in many situations of scientific interest and have significant consequences for our understanding of natural and man-made phenomena.
Christopher Rackauckas, Yingbo Ma, Julius Martensen +6
In the context of science, the well-known adage "a picture is worth a thousand words" might well be "a model is worth a thousand datasets." In this manuscript we introduce the SciML software ecosystem as a tool for mixing the information of physical laws and scientific models with data-driven machine learning approaches.
Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov +9
Abstract Large language models (LLMs) have demonstrated tremendous capabilities in solving complex tasks, from quantitative reasoning to understanding natural language.
Beidi Chen, Tharun Medini, James Farwell +3
Deep Learning (DL) algorithms are the central focus of modern machine learning systems.
Bradley Emi, Max Spero
We present Pangram Text, a transformer-based neural network trained to distinguish text written by large language models from text written by humans.
Alhussein Fawzi, Matej Balog, Aja Huang +10
Abstract Improving the efficiency of algorithms for fundamental computations can have a widespread impact, as it can affect the overall speed of a large amount of computations.
Jeff Bezanson, Stefan Karpinski, Viral B. Shah +1
Dynamic languages have become popular for scientific computing.
Maximilian Schlosshauer, Johannes Kofler, Anton Zeilinger
Foundational investigations in quantum mechanics, both experimental and theoretical, gave birth to the field of quantum information science.
Patrick Butlin, Robert Long, Eric Elmoznino +16
Whether current or near-term AI systems could be conscious is a topic of scientific interest and increasing public concern.
G. Supran, S. Rahmstorf, N. Oreskes
Climate projections by the fossil fuel industry have never been assessed.
Jiayi Yuan, Hao Li, Xinheng Ding +7
Large Language Models (LLMs) are now integral across various domains and have demonstrated impressive performance.
Alexander Novikov, Ngân Vũ, Marvin Eisenberger +15
In this white paper, we present AlphaEvolve, an evolutionary coding agent that substantially enhances capabilities of state-of-the-art LLMs on highly challenging tasks such as tackling open scientific problems or optimizing critical pieces of computational infrastructure.
Gabriel A. Vecchi, Christopher Landsea, Wei Zhang +2
Abstract Atlantic hurricanes are a major hazard to life and property, and a topic of intense scientific interest.
M. S. Leifer
Towards the end of 2011, Pusey, Barrett and Rudolph derived a theorem that aimed to show that the quantum state must be ontic (a state of reality) in a broad class of realist approaches to quantum theory.
Geoff Langdale, Daniel Lemire
JavaScript Object Notation or JSON is a ubiquitous data exchange format on the Web.
Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach
Deep learning techniques have become the method of choice for researchers working on algorithmic aspects of recommender systems.
Thomas McGrath, Andrei Kapishnikov, Nenad Tomašev +5
What is learned by sophisticated neural network agents such as AlphaZero?
David Rein, Betty Li Hou, Asa Cooper Stickland +5
We present GPQA, a challenging dataset of 448 multiple-choice questions written by domain experts in biology, physics, and chemistry.
Luca Soldaini, Rodney Kinney, Akshita Bhagia +33
Information about pretraining corpora used to train the current best-performing language models is seldom discussed: commercial models rarely detail their data, and even open models are often released without accompanying training data or recipes to reproduce them.
Weixin Liang, Zachary Izzo, Yaohui Zhang +9
We present an approach for estimating the fraction of text in a large corpus which is likely to be substantially modified or produced by a large language model (LLM).