Human versus Artificial Intelligence; various significant examples in astrophysics

TL;DR

This paper compares human and AI assessments of astrophysical phenomena, highlighting AI's capabilities and limitations in analyzing complex data and models in astrophysics.

Contribution

It extends previous AI-human comparison experiments to a broader range of astrophysical phenomena, revealing insights into AI's interpretative strengths and weaknesses.

Findings

AI provides consistent comparisons across various astrophysical events.

AI's opinions align with standard models but show limitations in novel or complex cases.

The experiment raises questions about AI's role in scientific analysis.

Abstract

In a recent arXiv posting [1] I reported the result of an experiment: asking Perplexity.ai to compare three items concerning (ordinary) Gamma Ray Burts (GRBs): the data, the standard paradigm(s) and the "Cannonball" (CB) model. Here I ask the same URL to extend this comparison to long--lasting GRBs, binary Neutron-Star mergers and their associated short--hard GRBs, low--luminosity GRBs, X--ray flashes, X--ray transients, and non--solar cosmic rays. The results of this experiment are enlightening but worrisome. Except for this abstract, two footnotes and two other references to standard [2] and CB-model [3] articles and talks, all of what follows is, verbatim, what the cited AI "opines".