Tootfinder

Twitch has become a major Spanish-language platform, with streamers like TheGrefg and Ibai Llanos hosting live sporting events that attract massive audiences (Sherwood News)
https://sherwood.news/tech/how-twitch-became-a-spanish-language-platform/<…

How Twitch became a Spanish-language platform
Spanish streamers are redefining Twitch’s relationship to traditional media.

Poll: Vast majority of Ukrainians against Russian as official or state language: https://benborges.xyz/2024/03/12/poll-vast-majority.html

Exploring Safety Generalization Challenges of Large Language Models via Code
Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Wai Lam, Lizhuang Ma
https://arxiv.org/abs/2403.07865

Exploring Safety Generalization Challenges of Large Language Models via Code
The rapid advancement of Large Language Models (LLMs) has brought about remarkable capabilities in natural language processing but also raised concerns about their potential misuse. While strategies like supervised fine-tuning and reinforcement learning from human feedback have enhanced their safety, these methods primarily focus on natural languages, which may not generalize to other domains. This paper introduces CodeAttack, a framework that transforms natural language inputs into code inputs…

Bluesky open sources its collaborative moderation tool Ozone and plans to let users run their own independent moderation services later this week (Aisha Malik/TechCrunch)
https://techcrunch.com/2024/03/12/blue

Bluesky launches Ozone, a tool that lets users create and run their own independent moderation services | TechCrunch
Bluesky is open-sourcing Ozone, a tool that lets individuals and teams to collaboratively review and label content on the network.

Ukraine war latest: Russia launches large-scale attack, destroys critical energy infrastructure: https://benborges.xyz/2024/04/11/ukraine-war-latest.html

Exploring Safety Generalization Challenges of Large Language Models via Code
Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Wai Lam, Lizhuang Ma
https://arxiv.org/abs/2403.07865

Exploring Safety Generalization Challenges of Large Language Models via Code
The rapid advancement of Large Language Models (LLMs) has brought about remarkable capabilities in natural language processing but also raised concerns about their potential misuse. While strategies like supervised fine-tuning and reinforcement learning from human feedback have enhanced their safety, these methods primarily focus on natural languages, which may not generalize to other domains. This paper introduces CodeAttack, a framework that transforms natural language inputs into code inputs…

Bluesky open sources its collaborative moderation tool Ozone and plans to let users run their own independent moderation services later this week (Aisha Malik/TechCrunch)
https://techcrunch.com/2024/03/12/blue

Bluesky launches Ozone, a tool that lets users create and run their own independent moderation services | TechCrunch
Bluesky is open-sourcing Ozone, a tool that lets individuals and teams to collaboratively review and label content on the network.

Amharic LLaMA and LLaVA: Multimodal LLMs for Low Resource Languages
Michael Andersland
https://arxiv.org/abs/2403.06354 https://arxiv…

Amharic LLaMA and LLaVA: Multimodal LLMs for Low Resource Languages
Large Language Models (LLMs) like GPT-4 and LLaMA have shown incredible proficiency at natural language processing tasks and have even begun to excel at tasks across other modalities such as vision and audio. Despite their success, LLMs often struggle to perform well on low-resource languages because there is so little training data available. This shortcoming is especially prevalent with open source models. In this work, we explore training LLaMA-2 to speak Amharic, a language which is spoken …

AC-EVAL: Evaluating Ancient Chinese Language Understanding in Large Language Models
Yuting Wei, Yuanxing Xu, Xinru Wei, Simin Yang, Yangfu Zhu, Yuqing Li, Di Liu, Bin Wu
https://arxiv.org/abs/2403.06574

AC-EVAL: Evaluating Ancient Chinese Language Understanding in Large Language Models
Given the importance of ancient Chinese in capturing the essence of rich historical and cultural heritage, the rapid advancements in Large Language Models (LLMs) necessitate benchmarks that can effectively evaluate their understanding of ancient contexts. To meet this need, we present AC-EVAL, an innovative benchmark designed to assess the advanced knowledge and reasoning capabilities of LLMs within the context of ancient Chinese. AC-EVAL is structured across three levels of difficulty reflecti…