Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy — mentioned by jwuphysics

Fri, 15 Sep 2023 16:11:38 GMT

> The idea that AI might transform scientific practice is therefore feasible. But the main barrier is sociological: it can happen only if human scientists are willing and able to use such tools. As a tenure-track scientist who works in ML applications for astrophysics, I disagree with this sentiment. The main issue isn't that enough scientists are using tools to search through literature or form new hypotheses, the main issue is that scientists now have to validate and sift through AI-generated outputs in order to find useful signals, rather than validate and sift through experimentally…

Paper and discussion history. A mention is not an endorsement.

Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy · HackerPapers discussions

Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy — mentioned by jwuphysics