Recently, an analysis by The Guardian revealed that there may be serious misleading practices by tech companies in handling the environmental impact of their AI data centers. The emission data reported by tech giants like Microsoft, Google, Meta, and Apple significantly diverges from reality. According to this analysis, the actual emissions from these companies are 662% higher than the figures they officially disclose, and this is just the tip of the iceberg, as this study only covers data from 2020 to 2022. Image source note: Image generated by AI, image licensed from service provider Midjou.

Reddit, known for its vast user community and rich data resources, has opened up new revenue streams through data licensing. The platform hosts over 100,000 active communities, attracting 76 million users daily and generating a massive amount of data that includes real-time discussions, opinions, and interactions, which is highly valuable for AI and machine learning model development. With the rapid advancement of AI technology, Reddit's data has become a key resource for training AI models. In 2023, Reddit launched its data licensing program, which is expected to grow significantly in 2024.

LAION launched Re-LAION-5B, the world's first AI training dataset that fully removes links to CSAM, aimed at addressing the issue of Child Sexual Abuse Material (CSAM). This dataset has been significantly improved over LAION-5B and is mainly divided into two versions: Re-LAION-5B Research and Research-Safe. A total of 2,236 CSAM links have been removed, including 1,008 from child protection organizations' lists. The dataset contains 5.5 billion pairs of text and images, designed to help

As AI technology rapidly advances, the challenges of data acquisition are becoming increasingly prominent. Research from institutions like MIT reveals that open-source datasets such as C4, RefineWeb, and Dolma are facing stricter licensing agreements from the websites they scrape, posing significant challenges for AI training and academic research. The study found that even major AI companies like OpenAI are subject to strict limitations due to r....

Recently, Meta's plan to use user data to train its artificial intelligence systems has sparked widespread public concern. This plan involves not only public data but also non-public user data. This move has been challenged under the UK's General Data Protection Regulation (GDPR), especially in complaints from the Open Rights Group.The organization has submitted a complaint to the UK Information Commissioner's Office, demanding an investigation into Meta's privacy policy. According to Meta, thes

金融巨头高盛的一份研究通讯警告称，大型科技公司已加大资本支出以推动生成式人工智能的发展，但尚未展示可持续的商业模式。该投行估计，在未来几年将有约1万亿美元用于数据中心、半导体、电网升级和其他人工智能基础设施。

The popularity of ChatGPT has led to explosive growth of domestic large models. With rapid advancements in AI technology, AI products are being widely applied across multiple domains, from text generation to AI chatbots. Qimai Data has released the AI Application Ranking, indicating that AI products account for 26% of the market, with comprehensive AI products and audio generation AI products making up a significant portion. Major manufacturers are launching AI products with various functions, and AI is being utilized in numerous fields. Since 2023, new products have been continuously launched, and the AI product market is gradually taking shape, with significant room for growth.

Google has announced the termination of its contract with Australian data company Appen, which provided training for large language model AI for Google products such as Bard and Search. The termination of the contract poses a significant revenue impact on Appen, and concerns about low wages for human workers have come to the forefront. A Google spokesperson stated that they will work with Appen to ensure a smooth transition. The concerns about wages and working conditions for human workers in the AI industry have become a hot topic of discussion.

Researchers, in collaboration with MIT, Cohere for AI, and other institutions, have launched the Data Provenance Platform to tackle the issue of AI data transparency. The platform audits and tracks over 2,000 widely used fine-tuning datasets, emphasizing the importance of data transparency. Insufficient data provenance can lead to data leaks, exposure of personal information, bias, and legal risks. The Data Provenance Platform is expected to enhance AI data transparency and improve the quality and ethical compliance of datasets.

The Australian Federal Police (AFP) announced the use of artificial intelligence (AI) technology to analyze surveillance licensing data, aiming to identify money laundering and fraud activities. The AFP stated that they expect AI technology to enhance the efficiency of policing, although its current usage is limited. AI tools, including large language models, are expected to help discover useful information within large-scale data, thus accelerating decision-making and actions. This initiative is particularly important in combating economic crimes, as these crimes involve complex data and patterns. The AFP emphasized transparency, ethics, and legality, ensuring data protection and privacy.

Microsoft has signed a five-year partnership agreement with AI data analytics company Synthetaic. The collaboration will provide new solutions for processing geospatial, static, and video image data. Synthetaic's RAIC tool will be made available to government agencies through the Microsoft Azure Government Cloud platform.