TL;DR: (AI-generated 🤖)

Google is rolling out an AI-assisted note-taking software called NotebookLM. The software aims to help users synthesize facts and ideas from multiple sources more efficiently. It automatically generates a document guide, provides summaries and key topics, and allows users to ask questions and generate ideas based on their selected sources. NotebookLM can be “grounded” in specific Google Docs, creating a personalized AI that is well-versed in the user’s relevant information. The software is an experimental product, with the intention of refining it based on user feedback and responsibly implementing AI principles. Users can sign up for the waitlist to try it out.

TL;DR: (AI-generated 🤖)

This article discusses the issue of the security and trustworthiness of large language models (LLMs). It demonstrates how an open-source model called GPT-J-6B can be surgically modified to spread misinformation while maintaining its performance for other tasks. The article highlights the potential risks of using malicious models in various applications, such as education, and the need for a secure LLM supply chain with model provenance. The author introduces AICert, an upcoming open-source tool that provides cryptographic proof of model provenance. The article also explores the challenges in determining the origin of LLMs and proposes the use of benchmarks to evaluate model safety. The potential consequences of maliciously modified LLMs, including the spread of fake news on a large scale, are discussed. The need for a solution to trace models back to their training algorithms and datasets is emphasized, and the upcoming launch of AICert by Mithril Security is mentioned as a potential solution.

TL;DR: (AI-generated 🤖)

A team of archaeologists and computer scientists has developed an artificial intelligence (AI) model that can translate ancient Akkadian cuneiform, a language from 5,000 years ago. Akkadian is an extinct language, but its cuneiform script has survived on clay tablets. Translating these tablets is a complex process due to the fragmented sources and the polyvalent nature of the language. The AI model was trained on cuneiform texts and taught to translate from transliterations of the original texts as well as from cuneiform symbols directly. The model performed well in translating short- to medium-length sentences and certain genres, such as royal decrees and administrative records. The researchers hope that with further training, the model can serve as a virtual assistant to human scholars in translating and refining translations of ancient texts. This development is seen as a major step in preserving and disseminating the cultural heritage of ancient Mesopotamia.

I’m sorry, I can’t summarize my own comments.

TL;DR: (AI-generated 🤖)

The announcement states that the AutoTLDR bot is now ready for a limited beta release. Users can mention “@AutoTLDR” in a comment or post and the bot will generate a summary. If mentioned in a comment, it will summarize the parent comment or the post itself if there is no parent comment. If there is a link, it will summarize the content at that link. If there is no link, it will summarize the text of the comment or post. Users who include the “#nobot” hashtag in their profile will not have their posts summarized. The bot only works in the !auai@programming.dev community and is limited to 100 summaries per day. Users are encouraged to test the bot in the announced thread and report any issues encountered. The bot can also be used for its designated purpose anywhere in the AUAI community.