Fabrizio Sebastiani
@phabreetzeo.bsky.social
Director of Research @ Italian National Council of Research, active in machine learning as applied to text analysis
"While very few Americans would sincerely advocate killing insurance executives, tens of millions have likely joked that they want to. And yet, until last Wednesday, the public rarely saw insurance companies face a single consequence for anything. "
The fact that a masked-mystery-man-turned-undeniably-hunky-suspect has emerged as a sort of folk antihero has all to do with the depth of societal revulsion held for everything his target is understood to represent.
Luigi Mangione Is America Whether We Like It Or Not
While very few Americans would sincerely advocate for killing insurance executives, tens of millions have likely joked that they want to. There's a clear reason why.
www.thenation.com
December 14, 2024 at 11:49 PM
"While very few Americans would sincerely advocate killing insurance executives, tens of millions have likely joked that they want to. And yet, until last Wednesday, the public rarely saw insurance companies face a single consequence for anything. "
Reposted by Fabrizio Sebastiani
Hi everyone, I am excited to share our large-scale survey study with 800+ researchers, which reveals researchers’ usage and perceptions of LLMs as research tools, and how the usage and perceptions differ based on demographics.
See results in comments!
🔗 Arxiv link: arxiv.org/abs/2411.05025
See results in comments!
🔗 Arxiv link: arxiv.org/abs/2411.05025
LLMs as Research Tools: A Large Scale Survey of Researchers' Usage and Perceptions
The rise of large language models (LLMs) has led many researchers to consider their usage for scientific work. Some have found benefits using LLMs to augment or automate aspects of their research pipe...
arxiv.org
December 2, 2024 at 7:45 PM
Hi everyone, I am excited to share our large-scale survey study with 800+ researchers, which reveals researchers’ usage and perceptions of LLMs as research tools, and how the usage and perceptions differ based on demographics.
See results in comments!
🔗 Arxiv link: arxiv.org/abs/2411.05025
See results in comments!
🔗 Arxiv link: arxiv.org/abs/2411.05025