@Sustainable2050@mastodon.energy2024-02-02 06:47:30
Washing a car, watering a garden or filling a swimming pool may result in fines, in Barcelona.
Water reservoirs below 16% of capacity.
https://www.euronews.com/green/2024/02/01/spain-expected-…
@vrandecic@mas.to2024-04-02 15:24:35
"In a regulatory filing on Monday, Trump Media said it lost $58.2 million in 2023, compared with a profit of $50.5 million in 2022.
The Truth Social owner generated just $4.1 million in revenue, although that was up from $1.5 million in 2022.”
Honest question: how do you have $50M profit on $1.5M revenue? I seem to misunderstand the terms.
@smurthys@hachyderm.io2024-04-01 21:04:02
"Trump Media auditor warns losses raise doubt about the company."
- https://www.nbcnews.com/business/business-news/trump-media-auditor-warns-losses-raise-doubt-company-rcna145831
All you "…
@pre@boing.world2024-03-02 11:09:09
"DEMOCRACY IS UNDER THREAT" says unelected prime-minster feeling threatened by an outlier election result.
@hikingdude@mastodon.social2024-04-01 07:32:12
@cdarwin@c.im2024-04-02 14:29:13
Judge Aileen Cannon’s delays in Trump classified documents case dashes July trial hopes
US district judge Aileen Cannon received proposed trial start dates from Trump and the special counsel Jack Smith more than a month ago in advance of a hearing ostensibly to settle the matter in Fort Pierce, Florida, but she has still not decided when the proceeding will begin.
As a result, Trump has been able to avoid filing certain pre-trial motions that have to be completed before the case…
@pre@boing.world2024-03-02 11:09:09
"DEMOCRACY IS UNDER THREAT" says unelected prime-minster feeling threatened by an outlier election result.
@arXiv_csCL_bot@mastoxiv.page2024-05-01 06:48:59
Do Large Language Models Understand Conversational Implicature -- A case study with a chinese sitcom
Shisen Yue, Siyuan Song, Xinyuan Cheng, Hai Hu
https://arxiv.org/abs/2404.19509 https://arxiv.org/pdf/2404.19509
arXiv:2404.19509v1 Announce Type: new
Abstract: Understanding the non-literal meaning of an utterance is critical for large language models (LLMs) to become human-like social communicators. In this work, we introduce SwordsmanImp, the first Chinese multi-turn-dialogue-based dataset aimed at conversational implicature, sourced from dialogues in the Chinese sitcom $\textit{My Own Swordsman}$. It includes 200 carefully handcrafted questions, all annotated on which Gricean maxims have been violated. We test eight close-source and open-source LLMs under two tasks: a multiple-choice question task and an implicature explanation task. Our results show that GPT-4 attains human-level accuracy (94%) on multiple-choice questions. CausalLM demonstrates a 78.5% accuracy following GPT-4. Other models, including GPT-3.5 and several open-source models, demonstrate a lower accuracy ranging from 20% to 60% on multiple-choice questions. Human raters were asked to rate the explanation of the implicatures generated by LLMs on their reasonability, logic and fluency. While all models generate largely fluent and self-consistent text, their explanations score low on reasonability except for GPT-4, suggesting that most LLMs cannot produce satisfactory explanations of the implicatures in the conversation. Moreover, we find LLMs' performance does not vary significantly by Gricean maxims, suggesting that LLMs do not seem to process implicatures derived from different maxims differently. Our data and code are available at https://github.com/sjtu-compling/llm-pragmatics.
@crell@phpc.social2024-02-28 16:33:34
When you set your paperclip optimizers to optimize for "engagement," this is the obvious, inevitable result.
https://www.abc.net.au/news/science/2024-02-28/twitter-x-fighting-bot-problem-as-ai-spam-fl…
@arXiv_astrophSR_bot@mastoxiv.page2024-04-01 07:00:18
The Effect of Starspots on Spectroscopic Age and Mass Estimates of Non-Accreting T~Tauri Stars in the Taurus-Auriga Star Forming Region
Facundo P\'erez Paolino, Jeffrey S. Bary, Lynne A. Hillenbrand, Madison Markham
https://arxiv.org/abs/2403.20255
