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Amazon's smart home security company Ring announced on Wednesday that it will introduce an innovative artificial intelligence feature into its doorbells and cameras. This new feature will provide users with specific text descriptions of the movement activities detected by their devices, significantly improving the clarity of real-time notifications. Now, when users receive real-time notifications about events around their homes, the updated information will be more detailed and intuitive. For example, the notification might read, 'A person is walking up the steps with a black dog,' or 'Two people are watching a white car parked in the driveway.'

In a recent episode of the podcast "Hard Fork," OpenAI's CEO Sam Altman voluntarily discussed the copyright lawsuit filed by The New York Times against OpenAI and its major investor, Microsoft. The lawsuit primarily accuses OpenAI of using The New York Times' content without authorization while training its large language models. Altman expressed concern about the lawsuit, particularly regarding a new request made by The New York Times' lawyers.

A recent paper published by researchers from Stanford University, Cornell University, and West Virginia University shows that Meta's Llama3.1 AI model can reproduce large amounts of copyrighted book content word for word, posing potential significant legal risks for the tech giant. The study indicates that the Llama3.170B model was able to reproduce 42% of the text from 'Harry Potter and the Philosopher's Stone' in testing, far exceeding the 4.4% reproduced by the first-generation Llama model. Artificial intelligence models, such as Ope

The independent AI application Meta AI launched by Meta has drawn extensive attention from users. However, this application has also revealed serious privacy issues. Many users unintentionally publicly share private conversations with chat bots, causing their sensitive information to be exposed in public view. The Meta AI application allows users to post conversation content to social platforms via a sharing button after interacting with the AI. But surprisingly, many users are unaware of this, and the content they post

The UAE recently announced it will be the first to utilize AI in drafting laws, aiming for significantly faster legislation. This initiative is expected to reduce the time it takes to draft legal documents by up to 70%. The UAE government hopes to leverage AI's analytical capabilities to quickly generate laws relevant to modern society. Image Note: Image generated by AI, licensed from Midjourney. The UAE government states that this technology will not only speed up the legislative process but also help improve the quality of laws.

With advancements in AI technology, OpenAI recently launched its latest inference models—o3 and o4-mini. These new models are not only more powerful in text understanding but also possess image reasoning capabilities, quickly becoming user favorites. According to TechCrunch, more users are leveraging ChatGPT to pinpoint the exact location where photos were taken, a phenomenon sparking widespread attention on social media. The o3 and o4-mini models offer powerful...

Meta Platforms, Inc. has announced plans to use user data from its European Union applications, including Facebook and Instagram, to train its artificial intelligence models. The company clarified that the training data will include users' public posts, comments, and interactions with Meta AI, but will exclude private messages with friends and family. Training will be limited to users aged 18 and over. Meta stated it will inform its EU users of this plan this week via in-app notifications and emails.

Meta recently announced it will resume training its AI models using publicly available content from European users. This decision follows a pause last year due to data privacy concerns. Meta stated that this AI training will primarily rely on publicly shared posts and comments from adult users across the 27 EU countries. Furthermore, interactions between users and Meta AI, such as questions and queries, will also be used to train and improve its AI models. Image attribution: Image generated by AI, image licensing provided by Midj

Tongfu Shield Happy Pig is a novel multi-agent system designed to address the challenges of privacy protection in various applications. Through collaborative efforts of multiple intelligent agents, it achieves robust privacy preservation without sacrificing functionality or efficiency.

Spain is considering legislation aimed at combating the proliferation of AI-generated pornography and safeguarding the privacy of minors.

OpenAI is facing a privacy complaint from Norway concerning its AI chatbot ChatGPT's tendency to generate false information. The case, supported by privacy advocacy group Noyb, was filed by Alf Harmar Holmen, who was shocked and angered to find ChatGPT falsely claimed he was convicted of murdering two children and attempting to kill a third. Previous privacy complaints against ChatGPT have largely involved...

In the fiercely competitive AI landscape, a million-dollar experiment is quietly revolutionizing large language model (LLM) training. Jieyue Xingchen's research team recently released groundbreaking findings. By utilizing nearly 1 million NVIDIA H800 GPU hours, they trained 3,700 models of varying sizes from scratch, accumulating a staggering 100 trillion tokens. This revealed a universal scaling law dubbed 'Step Law,' offering a novel guide for efficient LLM training.

The Spanish government has recently passed a new law imposing substantial fines on companies that fail to properly label AI-generated content, aiming to combat the spread of deepfakes. Digital Transformation Minister Oscar Lopez announced that the law, inspired by the EU's AI Act, mandates strict transparency requirements for AI systems deemed high-risk. Image caption: Image generated by AI, image licensing provider Midjourney. Lopez noted...

A collaborative team from Ant Group, Zhejiang University, University of Liverpool, and East China Normal University presented ScaleOT, a novel cross-domain fine-tuning framework, at AAAI 2025. This framework achieves a 50% improvement in privacy protection and a remarkable 90% reduction in computational cost compared to knowledge distillation, without compromising model performance. ScaleOT offers a highly efficient and lightweight solution for cross-domain fine-tuning of billion-parameter models. The innovative nature of the paper secured it an oral presentation at AAAI.

Over 1000 artists have released a silent album as a protest against the UK government's decision to sell music copyright to artificial intelligence companies.