FutureSearch: AI-Assisted Forecasting System
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This paper describes FutureSearch, an AI forecasting system. Note: the current metadata summary about quantum spin chains appears to be an error and does not reflect the paper's actual content about AI-assisted prediction.
Paper Details
Metadata
Summary
FutureSearch is a paper describing an AI-assisted forecasting system designed to improve prediction accuracy on real-world questions. The system likely combines language models with search and reasoning capabilities to produce calibrated probability estimates. The current metadata contains an erroneous summary about quantum spin chains unrelated to the actual content.
Key Points
- •Describes an AI system designed to assist with forecasting and probability estimation on real-world questions
- •Likely integrates search capabilities with language model reasoning to improve prediction accuracy
- •Relevant to AI capabilities research in the domain of prediction markets and epistemic tools
- •The arxiv ID 2312.07474 was published in December 2023, placing it in the modern LLM era
Review
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| AI-Augmented Forecasting | Approach | 54.0 |
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[2312.07474] Signatures of infinite randomness in transport properties of disordered spin chains
Signatures of infinite randomness in transport properties of disordered spin chains
L. F. C. Faria
Gleb Wataghin Institute of Physics, The University of Campinas (Unicamp), 13083-859 Campinas, SP,
Brazil
Victor L. Quito
vquito@ifsc.usp.br
Department of Physics and National High Magnetic Field Laboratory,
Florida State University, Tallahassee, Florida 32306, USA
Instituto de Física de São Carlos, Universidade de São Paulo,
C.P. 369, São Carlos, SP 13560-970, Brazil
João C. Getelina
Instituto de Física de São Carlos, Universidade de São Paulo,
C.P. 369, São Carlos, SP 13560-970, Brazil
Department of Physics, Missouri University of Science and Technology, Rolla, MO 65409, USA
José A. Hoyos
Instituto de Física de São Carlos, Universidade de São Paulo,
C.P. 369, São Carlos, SP 13560-970, Brazil
Max Planck Institute for the Physics of Complex Systems, Nöthnitzer Str. 38, 01187 Dresden, Germany
E. Miranda
Gleb Wataghin Institute of Physics, The University of Campinas (Unicamp), 13083-859 Campinas, SP,
Brazil
( February 27, 2024 )
Abstract
We study the spin transport properties of some disordered spin chains with a special focus on the distribution of the frequency-dependent spin conductivity. In the cases of interest here, the systems are governed by an effectively infinite disorder at low energies. A hallmark of this behavior is the wide discrepancy between the average and the typical values of some physical quantities, which are described by extremely broad distributions. We show that such is also the case of the spin conductivity, whose average value is metallic but whose typical one, the physically relevant quantity, is insulating. This solves the apparent contradiction between the prediction of a spin metallic phase of the spin-1/2 disordered XX chain and its known localized behavior (after a mapping to free fermions). Our results are based on analytical and numerical implementations of a strong-disorder renormalization group as well as exact diagonalization studies. We present our analyses in very general terms, valid for systems of any spin S 𝑆 S value, but the cases of S = 1 / 2 𝑆 1 2 S=1/2 and 1 are studied in greater detail.
I Introduction
In one-dimensional spin systems, the interplay of quantum fluctuations and disorder leads to distinctive behavior [ 1 , 2 , 3 ] . Broadly speaking, in a wide class of systems and regimes, the effective disorder grows without limit at increasingly lower energies and longer length scales.
This unique feature allows for unprecedented detail and precision in their theoretical description. For example, thermodynamic properties can be obtained exactly at low temperatures T 𝑇 T : the specific heat and the magnetic susceptibility behave as c V ( T ) ∼ | ln T | − ( 1 + 1 / ψ ) similar
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