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Wikipedia recently announced the release of a dataset optimized for AI model training, in collaboration with Kaggle, Google's data science community platform. This initiative aims to reduce the scraping of Wikipedia data by AI developers, conserving the platform's bandwidth and server resources. The dataset includes structured Wikipedia information in English and French, offering high machine readability for AI developers to facilitate modeling, fine-tuning, and data analysis. The Wikimedia Foundation stated that this data...

At this year's World Economic Forum in Davos, numerous business and political leaders gathered, largely agreeing that US tech giants dominate the Artificial Intelligence (AI) landscape, with China and Asia seemingly lagging behind. However, in the wake of the event, this perception is being challenged. First, a previously unknown Chinese hedge fund, DeepSeek, has captured global attention. Its AI division has launched a large language model called R1,

Amidst the rapid advancement of artificial intelligence, a significant strategic deployment concerning the future AI infrastructure is quietly unfolding. Sources reveal the UK is emerging as a prime contender to host a new overseas AI infrastructure project jointly developed by OpenAI and SoftBank, a development that has captured significant attention within the global tech community. This massive data center initiative, dubbed Stargate, boasts a staggering $500 billion investment, representing a colossal undertaking in the history of AI infrastructure. Although the project will initially be entirely based in the US,

The Shanghai Artificial Intelligence Laboratory has released the open-source "Wanjuan Silk Road 2.0" multilingual multimodal corpus. Building upon the existing 5 languages (Arabic, Russian, Korean, Vietnamese, and Thai), this updated corpus adds three rare languages: Serbian, Hungarian, and Czech. It encompasses four modalities – text, images, audio, and video – totaling over 11.5 million data points and more than 26,000 hours of audio and video, making it a significant resource for low-resource multilingual multimodal research.

Artificial intelligence-powered web data extraction technology has achieved a new breakthrough. AIbase learned from social media that Firecrawl officially launched its new AI data extraction tool, FIRE-1, on April 15, 2025. This tool can not only extract static web content but also possesses intelligent web interaction capabilities, enabling it to perform actions such as clicking buttons, filling out forms, and handling modal windows, thus deeply mining data hidden behind dynamic interactions. This innovation marks Firecrawl's transition from traditional extraction tools to intelligent and automated solutions.

Firecrawl announces the launch of its latest AI-powered data extraction tool, FIRE-1, marking a significant step towards intelligent web data extraction. FIRE-1 builds upon Firecrawl's strengths in efficient data extraction, integrating advanced AI interaction capabilities to enable intelligent navigation of complex website structures and dynamic content handling. FIRE-1: Beyond Traditional Web Scraping Traditional web scraping tools often rely on static HTML parsing or manual configuration, struggling with JavaScript-driven dynamic websites.

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.

Ireland's Data Protection Commission (DPC) has announced an investigation into Elon Musk's social media platform X (formerly Twitter) over concerns that it may have used publicly available posts from EU users to train its Grok AI chatbot without transparency or legal basis. The investigation centers on XIUC (X Internet Unlimited Company) becoming the official controller of EU user data from April 1, 2023, previously under the name Twi…

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

Artificial intelligence is rapidly permeating everyday productivity tools. Recently, AIbase learned from social media that Google Sheets has officially launched an AI function, providing users with efficient bulk data processing capabilities through the built-in =AI() function. While this feature is currently in alpha testing and available to select users, social media users have already expressed amazement at its performance. Below is AIbase's in-depth report on this update, analyzing its technical highlights and potential impact. Google Sheets

Ireland's Data Protection Commission (DPC) has launched a significant investigation into Elon Musk's social media platform, X. The investigation centers on whether X used European users' personal data to train its AI chatbot, Grok, without their consent. Under the EU's General Data Protection Regulation (GDPR), companies must obtain explicit consent before processing user data; violations can result in substantial fines. The DPC has stated that a thorough examination will be conducted.

nEye Systems Inc., a silicon photonics startup, announced today that it has closed a $58 million Series B funding round. The investment was led by CapitalG, the growth equity investment arm of Alphabet Inc., Google's parent company. Other participants include Microsoft's M12, Micron Ventures, Nvidia, and Socratic Partners. This brings nEye's total funding to over $72 million.

IBM announced the acquisition of data and AI consulting firm Hakkoda to expand its data services and accelerate clients' digital transformation journeys. This acquisition brings Hakkoda's generative AI portfolio to IBM, supporting data modernization projects across financial services, public sector, and scientific fields. IBM Senior Vice President Mohamad Ali stated: Leveraging Hakkoda's expert data knowledge, strong technology partnerships, and asset-centric...

Tessell, a startup focused on multi-cloud Database-as-a-Service (DBaaS), has secured $60 million in funding, led by WestBridge Capital. This funding will be used to expand market reach and launch an AI-powered conversational database management service. With data becoming increasingly critical across industries, many businesses face challenges in efficiently managing and storing it. Traditional database solutions often lack flexibility, and many existing management tools fall short.

Bug fixing is a persistent challenge in software development. ByteDance's Doubao large model team has exciting news: they've launched Multi-SWE-bench, the first multi-lingual software engineering (SWE) dataset. This new dataset aims to evaluate and improve the ability of large models to automatically fix code errors. Multi-SWE-bench significantly expands the scope compared to previous single-language datasets. It covers not only Python, but also...