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In the field of artificial intelligence, Meta recently introduced the WebSSL family of models. These models, ranging in size from 300 million to 7 billion parameters, are trained on purely image data and aim to explore the vast potential of language-free visual self-supervised learning (SSL). This new research opens up new possibilities for future multimodal tasks and offers a fresh perspective on understanding how visual representations are learned. Previously, OpenAI's CLIP model was known for its performance in multimodal tasks such as visual question answering (VQA) and document understanding.

Meta recently announced the global rollout of real-time translation for its Ray-Ban Meta smart glasses. Previously, this feature was limited to early testing users in select markets. This full launch allows users to enjoy more convenient language conversion across various scenarios, especially the ability to overcome language barriers offline. According to Meta, the real-time translation feature on Ray-Ban Meta smart glasses now covers global sales markets and supports English, French, and Italian (among other languages).

Meta has announced the rollout of several new features for its Ray-Ban smart glasses, including real-time translation, Instagram messaging, and calling. Initially available only to select users in a preview program, these features are now available to all Ray-Ban Stories users. The real-time translation feature, first revealed at Meta Connect 2024, underwent limited testing in select countries last December. Now, users can utilize this feature in supported markets.

Meta has announced it will use artificial intelligence (AI) to verify the age of teenage users on Instagram, preventing users from misrepresenting their age. This measure aims to enhance the online safety of teenagers, ensuring they use social media in a protected environment. Meta stated that once the system detects an account suspected of belonging to a teenager, even if the user has entered an adult birthday, the system will automatically place it in "teen account" mode. Instagram reportedly implemented this last year.

According to foreign media reports, Apple's newly launched Apple Intelligence feature is disabled on Meta's apps (including Facebook, Instagram, WhatsApp, and Threads), preventing users from accessing core functionalities such as Writing Tools and the custom emoji generator (Genmoji). This move is believed to be related to Meta's strategy of promoting its own Meta AI tools, highlighting the intensifying competition between the two tech giants in the AI arena.

Policy experts have voiced concerns over proposed AI copyright regulations in the UK, arguing that a lack of comprehensive text and data mining exemptions could lead to lower-quality AI models and stifle innovation. They suggest that prohibiting companies like OpenAI, Google, and Meta from using copyrighted material to train AI in the UK could result in biased model outputs, diminishing their effectiveness. The UK government launched a consultation in December 2024 to explore how to protect creators while allowing the use of creative content in AI model training.

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

Meta's open-source large language model, Llama-4-Maverick, has experienced a dramatic drop in LMArena rankings, plummeting from second place to 32nd. This significant shift has sparked widespread skepticism among developers, who suspect Meta may have manipulated the benchmark by submitting a specially optimized version. The issue stems from Meta's April 6th release of its latest large language model, Llama 4, encompassing three versions: Scout, Maverick, and Behemoth.

Google Cloud Platform recently announced that Meta's latest generation of open-source large language models, Llama 4, is now available in its Vertex AI Model Garden. The news has generated significant excitement in the global tech community. The Scout and Maverick models from the Llama 4 series are now integrated into Vertex AI and available to developers via fully managed Model-as-a-Service (MaaS) API endpoints in preview.

Last week, around 100 authors protested outside Meta's London headquarters, accusing the American tech giant of using their works without permission to train its AI models. Protesters chanted "Meta, Meta, book thieves," with some holding signs such as "I wanted to write a slogan, but you'll steal it" and "Give us back our books, Zuck," a clear jab at Meta CEO Mark Zuckerberg. Earlier reports suggested Zuckerberg approved the company's use of a dataset called

Meta has released its latest open-source AI model, Llama 4, marking another significant advancement in the field of artificial intelligence. Llama 4 comes in two versions, Scout and Maverick, designed to enhance AI model capabilities and performance. Meta states that Llama 4 is a multimodal large language model capable of processing various data types, including text, images, video, and audio, and can freely convert between these formats. Notably, the Llama 4 series is the first...

Meta released its new flagship AI model, Maverick, on Saturday. The model ranked second in the LM Arena benchmark. LM Arena is a testing platform that relies on human raters to compare different model outputs and select their preferences. However, several AI researchers quickly discovered that the version of Maverick deployed to LM Arena appears significantly different from the version widely used by developers. Meta acknowledged in its announcement that the Maverick on LM Arena is an experimental version.

Meta, the American tech giant, has released Llama 4, its most powerful open-source AI model. The initial release includes two models: Llama4Scout and Llama4Maverick. Llama4Scout boasts 109 billion parameters, 17 billion active parameters, and 16 experts. Its key feature is support for a 10 million context window, enabling processing of over 20 hours of video, all while running on a single H100 GPU (after Int4 quantization).

Researchers from DeepSeek and Tsinghua University recently published a new paper exploring scaling methods for reward model inference, seemingly advancing DeepSeek R2. Reinforcement learning is widely used in the large-scale post-training phase of large language models, but faces the challenge of obtaining accurate reward signals for these models. The researchers found that using pointwise generative reward modeling (GRM) improves model adaptability and scalability during inference. To this end, they propose Self-Principle Calibration Tuning (SPCT) learning.

Bloomberg reports that Meta is preparing to launch a high-end version of its Ray-Ban Meta smart glasses with a built-in display, potentially as early as the end of this year. Codenamed Hypernova, these glasses will support running apps and displaying photos, controlled via gestures and capacitive touch on the sides of the frames. The screen, according to the report, will only appear in the bottom-right quadrant of the right lens, optimized for viewing when looking downward. Upon startup, the main screen displays icons horizontally, similar to Meta's...