Meta

Llama 4 Maverick and Scout challenge top AI benchmarks

Meta has officially launched two of its new Llama 4 AI models, Maverick and Scout, following reported delays earlier in the year.

The release forms part of Meta’s wider ambition to build and open-source the world’s most powerful AI systems. Llama 4 Behemoth, another model announced alongside them, has yet to become available.

The newly released models go head-to-head with Google’s latest AI offerings. According to Meta, Llama 4 Maverick surpasses Gemini 2.0 (Flash) in benchmarks such as coding, reasoning, and image tasks, while Llama 4 Scout outperforms both Gemini 2.0 Flash Lite and Gemma 3 in summarisation and code analysis.

Google CEO Sundar Pichai offered unexpected congratulations to the Llama 4 team on social media, reflecting the high-profile nature of the launch.

Llama 4 Maverick features 17 billion active parameters and 128 experts, making it a versatile choice for general-purpose AI assistants and creative tasks.

Llama 4 Scout shares the same number of active parameters but with a leaner expert setup, tailored for more focused tasks like document summarisation and code reasoning. Meta plans to release additional advanced models, including Llama Behemoth and Llama Reasoning, in the near future.

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Meta unveils Llama 4 models to boost AI across platforms

Meta has launched Llama 4, its latest and most advanced family of open-weight AI models, aiming to enhance the intelligence of Meta AI across services like WhatsApp, Instagram, and Messenger.

Instead of keeping these models cloud-restricted, Meta has made them available for download through its official Llama website and Hugging Face, encouraging wider developer access.

Two models, Llama 4 Scout and Maverick, are now publicly available. Scout, the lighter model with 17 billion active parameters, supports a 10 million-token context window and can run on a single Nvidia H100 GPU.

It outperforms rivals like Google’s Gemma 3 and Mistral 3.1 in benchmark tests. Maverick, the more capable model, uses the same number of active parameters but with 128 experts, offering competitive performance against GPT-4o and DeepSeek v3 while being more efficient.

Meta also revealed the Llama 4 Behemoth model, still in training, which serves as a teacher for the rest of the Llama 4 line. Instead of targeting lightweight use, Behemoth focuses on heavy multimodal tasks with 288 billion active parameters and nearly two trillion in total.

Meta claims it outpaces GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro in key STEM-related evaluations.

These open-weight AI models allow local deployment instead of relying on cloud APIs, though some licensing limits may apply. With Scout and Maverick already accessible, Meta is gradually integrating Llama 4 capabilities into its messaging and social platforms worldwide.

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GPT-4.5 outperforms humans in updated Turing Test

Two leading AI systems, OpenAI’s GPT-4.5 and Meta’s Llama-3.1, have passed a key milestone by outperforming humans in a modern version of the Turing Test.

The experiment, conducted by researchers at the University of California San Diego, found that GPT-4.5 was mistaken for a human 73% of the time, surpassing the human identification rate. Meta’s Llama-3.1 followed closely, with a 56% success rate.

The study used a three-party test where participants held simultaneous five-minute conversations with both a human and an AI, and then tried to determine which was which.

These trials were conducted across two independent groups: university undergraduates and prolific online workers. The results provide the first substantial evidence that AI can convincingly mimic human responses in spontaneous conversations.

Earlier language models such as ELIZA and GPT-4o were correctly identified as non-human in over 75% of cases.

The success of newer models in passing this benchmark points to how rapidly conversational AI is evolving, raising fresh questions about the ethical and societal implications of indistinguishable AI interactions.

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Tech giants face pushback over AI and book piracy

Meta and Anthropic’s recent attempts to defend their use of copyrighted books in training AI tools under the US legal concept of ‘fair use’ are unlikely to succeed in UK courts, according to the Publishers Association and the Society of Authors.

Legal experts argue that ‘fair use’ is far broader than the UK’s stricter ‘fair dealing’ rules, which limit the unauthorised use of copyrighted works.

The controversy follows revelations that Meta may have used pirated books from LibraryGenesis to train its AI model, Llama 3. Legal filings in the US claim the use of these books was transformative and formed only a small part of the training data.

However, UK organisations and authors insist that such use amounts to large-scale copyright infringement and would not be justified under UK law.

Calls for transparency and licensing reform are growing, with more than 8,000 writers signing a petition and protests planned outside Meta’s London headquarters.

Critics, including Baroness Beeban Kidron, argue that AI models rely on the creativity and quality of copyrighted content—making it all the more important for authors to retain control and receive proper compensation.

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Meta and UFC to transform fight experience

UFC President Dana White has announced a groundbreaking partnership with Meta, following his recent appointment to the tech giant’s board.

The collaboration marks a significant moment for both organisations, with Meta CEO Mark Zuckerberg, a well-known MMA enthusiast and practitioner, praising White’s ability to elevate global sports brands.

The deal aims to revolutionise fan engagement through cutting-edge technologies. According to White, plans are already underway to redesign the UFC’s ranking system, with hopes of delivering more compelling matchups.

While details remain under wraps, he hinted that AI could be central to the project, potentially transforming how fights are scored and analysed in real time.

Zuckerberg expressed excitement about the future of UFC fan experiences, suggesting Meta’s tech resources could introduce innovative ways for audiences to connect with the sport.

Enhanced data analysis may also support fighters in training and strategy, leading to higher-quality contests and fewer controversial decisions.

The full impact of the partnership will unfold in the coming years, with fans and athletes alike anticipating significant change.

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Authors in London protest Meta’s copyright violations

A wave of protest has hit Meta’s London headquarters today as authors and publishing professionals gather to voice their outrage over the tech giant’s reported use of pirated books to develop AI tools.

Among the protesters are acclaimed novelists Kate Mosse and Tracy Chevalier and poet Daljit Nagra, who assembled in Granary Square near Meta’s King’s Cross office to deliver a complaint letter from the Society of Authors (SoA).

At the heart of the protest is Meta’s alleged reliance on LibGen, a so-called ‘shadow library’ known for hosting over 7.5 million books, many without the consent of their authors.

A recent searchable database published by The Atlantic revealed that thousands of copyrighted works, including those by renowned authors, may have been used to train Meta’s AI models, provoking public outcry and legal action in the US.

Vanessa Fox O’Loughlin, chair of the SoA, condemned Meta’s reported actions as ‘illegal, shocking, and utterly devastating for writers,’ arguing that such practices devalue authors’ time and creativity.

‘A book can take a year or longer to write. Meta has stolen books so that their AI can reproduce creative content, potentially putting these same authors out of business’ she said.

Meta has denied any wrongdoing, with a spokesperson stating that the company respects intellectual property rights and believes its AI training practices comply with existing laws.

Still, the damage to trust within the creative community appears significant. Author AJ West, who discovered his novels were listed on LibGen, described the experience as a personal violation:

‘I was horrified to see that my novels were on the LibGen database, and I’m disgusted by the government’s silence on the matter,’ he said, adding, ‘To have my beautiful books ripped off like this without my permission and without a penny of compensation then fed to the AI monster feels like I’ve been mugged.’

Legal action is already underway in the US, where a group of high-profile writers, including Ta-Nehisi Coates, Junot Díaz, and Sarah Silverman, have filed a lawsuit against Meta for copyright infringement.

The suit alleges that Meta CEO Mark Zuckerberg and other top executives knew that LibGen hosts pirated content when they greenlit its use for AI development.

The protest is also aimed at UK lawmakers. Authors like Richard Osman and Kazuo Ishiguro have joined the call for British officials to summon Meta executives before parliament.

The Society of Authors has launched a petition on Change.org that has already attracted over 7,000 signatures.

Demonstrators were urged to bring placards and spread their message online using hashtags like #MetaBookThieves and #MakeItFair as they rally against alleged copyright violations and for broader protection of creative work in the age of AI.

The case, one of the lots, describes the increasingly tense relationship between the tech industry, content and data policies in training AI systems, which hardly depend on the written word and the most various literature, facts, and info from the written tradition to be trained (and thus able) to respond to most various user requests and alongside be accurate in their responses.

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Meta’s AI research VP Joelle Pineau announces departure

Joelle Pineau, the Vice President of AI research at Meta, announced she will be leaving the company by the end of May, after nearly eight years with the organisation.

Pineau, who joined Meta in 2017, has overseen key AI initiatives, including the FAIR research unit, PyTorch, and the Llama AI models.

In a LinkedIn post, Pineau reflected on her time at Meta, mentioning the creation of groundbreaking AI projects such as PyTorch, FAISS, and Roberta.

She expressed gratitude for the opportunity to work alongside top AI researchers, with the aim of accelerating innovation through open-source contributions.

Pineau, also a professor at McGill University, stated that after her departure, she plans to take some time to reflect before pursuing new ventures. Her departure comes as Meta intensifies its focus on AI, including the recent launch of its Meta AI chatbot in Europe.

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Meta’s Hypernova smart glasses promise cutting-edge features and advanced display technology

Meta is preparing to launch an advanced pair of smart glasses under the codename Hypernova, featuring a built-in display and gesture control capabilities.

The new device, developed in partnership with Ray-Ban, aims to enhance user convenience by offering features such as media viewing, map navigation, and app notifications.

Unlike previous models, the Hypernova glasses will have a display located in the lower right corner of the right lens, allowing users to maintain a clear view through the left lens.

The glasses will be powered by Qualcomm silicon and run on a customised version of Android. Meta is also developing a wristband, codenamed Ceres, which will provide gesture-based controls, including pinch-to-zoom and wrist rotation.

The wristband is expected to be bundled with the glasses, offering users a more seamless and intuitive experience.

Retail pricing for the Hypernova smart glasses is expected to range between $1,000 and $1,400, significantly higher than current VR-ready smart glasses like the Viture Pro and Xreal One.

However, Meta aims to differentiate its product through enhanced functionality and fashionable design, making it an appealing option for consumers looking for both style and utility.

The Hypernova glasses are projected to hit the market by the end of 2025. Meta is also developing additional augmented reality products, including the Orion holographic glasses and research-focused Aria Gen 2 AR glasses.

Competitors like Samsung are expected to launch similar Android-based smart glasses around the same time, setting the stage for an exciting year in the wearable tech market.

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Facebook introduces Friends tab for a personalised feed

Facebook is making it easier for users to focus on posts from friends and family with a new Friends tab, with Meta announcing the feature as part of an effort to bring back the ‘OG’ Facebook experience. The latest addition allows users to view a feed filled exclusively with content from their friends.

The Friends tab, located in the tab bar at the bottom of the app, displays posts, stories, and videos from friends, along with birthday reminders, friend requests, and suggested connections. Users in the United States and Canada can customise their tab bar if the feature does not appear automatically.

The move by Meta mirrors similar updates on other social media platforms, such as Threads and X, which introduced dedicated tabs for following-only content.

The change aims to restore Facebook’s original purpose—connecting users with friends and family—by reducing the prominence of algorithm-driven posts from non-followed accounts.

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Former Meta AI leaders launch Yutori with $15 million in funding

Two former Meta AI executives have secured $15 million in funding for Yutori, a San Francisco-based startup focused on developing AI personal assistants.

The funding round was led by Radical Ventures, with backing from prominent investors including AI pioneer Fei-Fei Li and Google DeepMind’s Jeff Dean.

Yutori aims to create autonomous AI agents capable of executing complex online tasks without human intervention. Unlike traditional chatbots, these AI assistants will handle real-world actions, from ordering food to managing travel plans, streamlining everyday digital interactions.

The company is also advancing post-training techniques to enhance AI models’ ability to navigate the web efficiently.

With a team of experts who previously worked on Meta’s AI projects, including the development of Llama 3 and Llama 4 models, Yutori is positioning itself at the forefront of AI-driven automation.

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