Artificial intelligence

Copyright lawsuits against OpenAI and Microsoft combined in AI showdown

Twelve copyright lawsuits filed against OpenAI and Microsoft have been merged into a single case in the Southern District of New York.

The US judicial panel on multidistrict litigation decided to consolidate, despite objections from many plaintiffs who argued their cases were too distinct.

The lawsuits claim that OpenAI and Microsoft used copyrighted books and journalistic works without consent to train AI tools like ChatGPT and Copilot.

The plaintiffs include high-profile authors—Ta-Nehisi Coates, Sarah Silverman, Junot Díaz—and major media outlets such as The New York Times and Daily News.

The panel justified the centralisation by citing shared factual questions and the benefits of unified pretrial proceedings, including streamlined discovery and avoidance of conflicting rulings.

OpenAI has defended its use of publicly available data under the legal doctrine of ‘fair use.’

A spokesperson stated the company welcomed the consolidation and looked forward to proving that its practices are lawful and support innovation. Microsoft has not yet issued a comment on the ruling.

The authors’ attorney, Steven Lieberman, countered that this is about large-scale theft. He emphasised that both Microsoft and OpenAI have, in their view, infringed on millions of protected works.

Some of the same authors are also suing Meta, alleging the company trained its models using books from the shadow library LibGen, which houses over 7.5 million titles.

Simultaneously, Meta faced backlash in the UK, where authors protested outside the company’s London office. The demonstration focused on Meta’s alleged use of pirated literature in its AI training datasets.

The Society of Authors has called the actions illegal and harmful to writers’ livelihoods.

Amazon also entered the copyright discussion this week, confirming its new Kindle ‘Recaps’ feature uses generative AI to summarise book plots.

While Amazon claims accuracy, concerns have emerged online about the reliability of AI-generated summaries.

In the UK, lawmakers are also reconsidering copyright exemptions for AI companies, facing growing pressure from creative industry advocates.

The debate over how AI models access and use copyrighted material is intensifying, and the decisions made in courtrooms and parliaments could radically change the digital publishing landscape.

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Sam Altman’s AI cricket post fuels India speculation

A seemingly light-hearted social media post by OpenAI CEO Sam Altman has stirred a wave of curiosity and scepticism in India. Altman shared an AI-generated anime image of himself as a cricket player dressed in an Indian jersey, which quickly went viral among Indian users.

While some saw it as a fun gesture, others questioned the timing and motives, speculating whether it was part of a broader strategy to woo Indian audiences. This isn’t the first time Altman has publicly praised India.

In recent weeks, he lauded the country’s rapid adoption of AI technology, calling it ‘amazing to watch’ and even said it was outpacing the rest of the world. His comments marked a shift from a more dismissive stance during a 2023 visit when he doubted India’s potential to compete with OpenAI’s large-scale models.

However, during his return visit in February 2025, he expressed interest in collaborating with Indian authorities on affordable AI solutions. The timing of Altman’s praise coincides with a surge in Indian users on OpenAI’s platforms, now the company’s second-largest market.

Meanwhile, OpenAI faces a legal tussle with several Indian media outlets over their alleged content misuse. Despite this, the potential of India’s booming AI market—projected to hit $8 billion by 2025—makes the country a critical frontier for global tech firms.

Experts argue that Altman’s overtures are more about business than sentiment. With increasing competition from rival AI models like DeepSeek and Gemini, maintaining and growing OpenAI’s Indian user base has become vital. As technology analyst Nikhil Pahwa said, ‘There’s no real love; it’s just business.’

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Thailand strengthens cybersecurity with Google Cloud

Thailand’s National Cyber Security Agency (NCSA) has joined forces with Google Cloud to strengthen the country’s cyber resilience, using AI-based tools and shared threat intelligence instead of relying solely on traditional defences.

The collaboration aims to better protect public agencies and citizens against increasingly sophisticated cyber threats.

A key part of the initiative involves deploying Google Cloud Cybershield for centralised monitoring of security events across government bodies. Instead of having fragmented monitoring systems, this unified approach will help streamline incident detection and response.

The partnership also brings advanced training for cybersecurity personnel in the public sector, alongside regular threat intelligence sharing.

Google Cloud Web Risk will be integrated into government operations to automatically block websites hosting malware and phishing content, instead of relying on manual checks.

Google further noted the impact of its anti-scam technology in Google Play Protect, which has prevented over 6.6 million high-risk app installation attempts in Thailand since its 2024 launch—enhancing mobile safety for millions of users.

For more information on these topics, visit diplomacy.edu.

Microsoft showcases Copilot’s AI potential with Quake II demo

Microsoft has introduced a browser-based, AI-generated version of the classic game Quake II as a demonstration of its Copilot Gaming Experiences.

The innovative approach showcases the capabilities of generative AI by applying it to a beloved retro game, providing a fresh, interactive experience that requires no traditional game engine.

The project stems from the company’s research labs, utilising technologies like MuseWorld and the Human Action Model (WHAM) to generate gameplay in real time.

Training the AI model on a level of Quake II enabled Copilot to dynamically create game visuals and respond to player inputs instantly. Microsoft describes the technology as ‘a glimpse into next-generation AI gaming experiences’.

Rather than relying on standard game engines, it simulates gameplay through AI generation, demonstrating how older games can be revitalised through modern techniques.

Although the demo is not a full game, it provides users with a tangible example of how AI can enhance classic games.

Microsoft encourages players to share their experiences and feedback, as the company seeks to refine and expand the use of AI in gaming. The demo is now available to try for free, offering an engaging preview of what could be a new frontier in interactive entertainment.

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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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Earthquake disrupts Myanmar internet and surveillance ops

A powerful earthquake in Myanmar has significantly disrupted the junta’s cyber operations, severely damaging the National Cyber Security Center and a major e-Government data hub in Naypyitaw.

The Ministry of Transport and Communications confirmed that repairs are underway, though many internet services in quake-affected areas remain unstable.

According to the opposition National Unity Government (NUG), the damage could weaken the military regime’s ability to monitor and suppress dissent online.

The National Cyber Security Center, which played a central role in tracking online activity and orchestrating arrests via surveillance tools, was among the worst-hit sites. Thousands of communication stations were also damaged, with less than half restored so far.

The quake has also taken down several junta ministry websites and left staff in Naypyitaw facing harsh living conditions. With Myanmar recording the highest number of internet shutdowns globally in 2024, activists fear the regime will attempt to regain control, but the full extent of the digital disruption may be greater than reported.

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GenAI comes to Spotify ads in US and Canada

Spotify has announced a suite of new advertising tools and features, including generative AI capabilities, at its recent Spotify Advance event in New York.

Designed to simplify ad creation and targeting, the initiative, branded as Spotify GenAI Ads, aims to help advertisers generate scripts and voiceovers at no extra cost.

Advertisers can also collaborate with Spotify’s in-house creative agencies to develop campaigns, while upgraded tools on the Spotify Ad Exchange (SAX) offer access to logged-in users through real-time auctions.

Integration with platforms such as Google Display & Video 360, The Trade Desk, Magnite, and Yahoo DSP further enhances reach and targeting options.

A new Spotify Ads Manager tool is also being rolled out in the US and Canada, providing advanced audience segmentation and performance tracking for tailored campaigns. These innovations reflect Spotify’s growing focus on personalisation and automation in digital advertising.

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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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US Cyber Command integrates generative AI for enhanced cybersecurity operations

A senior official at US Cyber Command has stated that the agency has begun employing generative AI tools to significantly reduce the time required to analyse network traffic for potentially malicious activity. Speaking at an event hosted by the Information Technology Industry Council in Washington, D.C., Executive Director Morgan Adamski said Cyber Command is already observing operational benefits from its efforts to integrate AI across various mission areas, particularly in cybersecurity functions.

Cyber Command developed an AI roadmap last year outlining approximately 100 tasks to embed AI into logistics, security operations, and national defence functions. An AI task force within the Cyber National Mission Force conducts 90-day development cycles to test and integrate large language models and other AI technologies into command operations.

The task force is responsible for deploying, evaluating, and assessing the viability of these tools for broader implementation. The agency also examines how AI can be adopted at scale across its cybersecurity enterprise.

General Timothy Haugh, Commander of Cyber Command, noted last year that the task force was created ‘to move us from opportunistic AI application to systematic adoption.’ Through its Constellation initiative—a collaboration with the Defense Advanced Research Projects Agency (DARPA)—Cyber Command is working with private-sector AI firms to accelerate the deployment of new capabilities.

One such tool enables continuous Department of Defense Information Network (DoDIN) monitoring, which supports over three million global users daily. Adamski explained that the tool is strategically placed within key segments of the DoDIN where known adversary tactics may appear.

‘We can monitor traffic at those points and have been able to identify previously unseen malicious activity,’ she said. She also highlighted Panoptic Junction, a pilot initiative led by Army Cyber Command that uses AI to monitor network traffic for compliance, threat intelligence, and anomaly detection.

According to Adamski, the project produced results that have prompted considerations for wider adoption across the DoDIN.

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AI-powered search expands with Microsoft’s Copilot Search

Microsoft has unveiled Copilot Search, a new AI-powered feature designed to enhance the Bing search experience.

Available at bing.com/copilotsearch, it generates responses using AI, providing users with summarised answers, related links, and reasoning behind the results. The feature follows Google‘s introduction of AI Mode in Search, which similarly offers AI-generated overviews for complex queries.

Copilot Search enables users to explore their queries more interactively. Responses include two key options: ‘See all links,’ which displays sources used in the summary, and ‘See reasoning,’ which explains how the response was generated.

Users can also submit follow-up questions within the same interface, keeping the entire conversation on a single page for easier navigation. Additional options for images and videos are available, though they redirect to Bing’s standard media search.

The latest search enhancement introduced by Microsoft reflects the increasing role of AI in online search, blending AI-generated insights with traditional web links.

Bing users who prefer the classic search experience will still have access to traditional results, while AI-generated answers will appear at the top of natural language queries.

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