OpenAI is preparing to build a significant new data centre in India as part of its Stargate AI infrastructure initiative. The move will expand the company’s presence in Asia and strengthen its operations in its second-largest market by user base.
OpenAI has already registered as a legal entity in India and begun assembling a local team.
The company plans to open its first office in New Delhi later this year. Details regarding the exact location and timeline of the proposed data centre remain unclear, though CEO Sam Altman may provide further information during his upcoming visit to India.
The project represents a strategic step to support the company’s growing regional AI ambitions.
OpenAI’s Stargate initiative, announced by US President Donald Trump in January, involves private sector investment of up to $500 billion for AI infrastructure, backed by SoftBank, OpenAI, and Oracle.
The initiative seeks to develop large-scale AI capabilities across major markets worldwide, with the India data centre potentially playing a key role in the efforts.
The expansion highlights OpenAI’s focus on scaling its AI infrastructure while meeting regional demand. The company intends to strengthen operational efficiency, improve service reliability, and support its long-term growth in Asia by establishing local offices and a significant data centre.
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Estonia’s government-backed AI teaching tool, developed under the €1 million TI-Leap programme, faces hurdles before reaching schools. Legal restrictions and waning student interest have delayed its planned September rollout.
Officials in Estonia stress that regulations to protect minors’ data remain incomplete. To ensure compliance, the Ministry of Education is drafting changes to the Basic Schools and Upper Secondary Schools Act.
Yet, engagement may prove to be the bigger challenge. Developers note students already use mainstream AI for homework, while the state model is designed to guide reasoning rather than supply direct answers.
Educators say success will depend on usefulness. The AI will be piloted in 10th and 11th grades, alongside teacher training, as studies have shown that more than 60% of students already rely on AI tools.
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Microsoft has unveiled two new AI models, marking a major step in its efforts to build its own technology rather than rely solely on OpenAI.
The first model, MAI-Voice-1, generates high-fidelity audio and supports both single and multi-speaker scenarios. Microsoft said the system can create a full minute of expressive audio in under a second on a single GPU, making it one of the fastest of its kind.
MAI-Voice-1 is already available in Copilot Daily and Podcasts, while Copilot Labs allows users to experiment with storytelling and speech demos. Microsoft sees voice as a vital interface for future AI companions.
MAI-1 Preview is currently undergoing community testing on LMArena and will soon be integrated into selected Copilot use cases. Microsoft said it plans to expand its family of specialised models, aiming to orchestrate different systems for diverse user needs.
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China has set its most ambitious AI adoption targets yet, aiming to embed the technology across industries, governance, and daily life within the next decade.
According to a new State Council directive, AI use should reach 70% of the population by 2027 and 90% by 2030, with a complete shift to what it calls an ‘intelligent society’ by 2035.
The plan would mean nearly one billion Chinese citizens regularly using AI-powered services or devices within two years, a timeline compared to the rapid rise of smartphones.
Although officials acknowledge risks such as opaque models, hallucinations and algorithmic discrimination, the policy calls for frameworks to govern ‘natural persons, digital persons, and intelligent robots’.
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A threat group known as TAG-144 has stepped up cyberattacks on South American government agencies, researchers have warned.
The group, also called Blind Eagle and APT-C-36, has been active since 2018 and is linked to espionage and extortion campaigns. Recent activity shows a sharp rise in cybercrime, spear-phishing, often using spoofed government email accounts to deliver remote access trojans.
Analysts say the group has shifted towards more advanced methods, embedding malware inside image files through steganography. Payloads are then extracted in memory, allowing attackers to evade antivirus software and maintain access to compromised systems.
Colombian government institutions have been hit hardest, with stolen credentials and sensitive data raising concerns over both financial and national security risks. Security experts warn that TAG-144’s evolving tactics blur the line between organised crime and state-backed espionage.
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According to the IT regulator, Nigeria is preparing a national framework to guide responsible use of AI in governance, healthcare, education and agriculture.
NITDA Director General Kashifu Abdullahi told a policy lecture in Abuja that AI could accelerate economic transformation if properly harnessed. He emphasised that Nigeria’s youthful population should move from being consumers to becoming innovators and creators.
He urged stakeholders to view automation as an opportunity to generate jobs, highlighting that over 60% of Nigerians are under 25. Abdullahi described this demographic as a key asset in positioning the nation for global competitiveness.
Meanwhile, a joint report from the Digital Education Council and the Global Finance & Technology Network found that AI boosts productivity, though adoption remains uneven. It warned of a growing divide between organisations that use AI effectively and those falling behind.
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AI company Anthropic has reported that its chatbot Claude was misused in cyber incidents, including attempts to carry out hacking operations and employment-related fraud.
The firm said its technology had been used to help write malicious code and assist threat actors in planning attacks. However, it also stated that it could disrupt the activity and notify authorities. Anthropic said it is continuing to improve its monitoring and detection systems.
In one case, the company reported that AI-supported attacks targeted at least 17 organisations, including government entities. The attackers allegedly relied on the tool to support decision-making, from choosing which data to target to drafting ransom demands.
Experts note that the rise of so-called agentic AI, which can operate with greater autonomy, has increased concerns about potential misuse.
Anthropic also identified attempts to use AI models to support fraudulent applications for remote jobs at major companies. The AI was reportedly used to create convincing profiles, generate applications, and assist in work-related tasks once jobs had been secured.
Analysts suggest that AI can strengthen such schemes, but most cyber incidents still involve long-established techniques like phishing and exploiting software vulnerabilities.
Cybersecurity specialists emphasise the importance of proactive defence as AI tools evolve. They caution that organisations should treat AI platforms as sensitive systems requiring strong safeguards to prevent their exploitation.
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A ransomware group has destroyed data and backups in a Microsoft Azure environment after exfiltrating sensitive information, which experts describe as a significant escalation in cloud-based attacks.
The threat actor, tracked as Storm-0501, gained complete control over a victim’s Azure domain by exploiting privileged accounts.
Microsoft researchers said the group used native Azure tools to copy data before systematically deleting resources to block recovery efforts.
After exfiltration, Storm-0501 used AzCopy to steal storage account contents and erase cloud assets. Immutable resources were encrypted instead.
The group later contacted the victim via Microsoft Teams using a compromised account to issue ransom demands.
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Funding season is restarting in Europe, with investors expecting to add several new unicorns in the coming months. Despite fewer mega-rounds than in 2021, a dozen startups passed the $1 billion mark in the first half of 2025.
AI, biotech, defence technology, and renewable energy are among the sectors attracting major backing. Recent unicorns include Lovable, an AI coding firm from Sweden, UK-based Fuse Energy, and Isar Aerospace from Germany.
London-based Isomorphic Labs, spun out of DeepMind, raised $600 million to enter unicorn territory. In biotech, Verdiva Bio hit unicorn status after a $410 million Series A, while Neko Health reached a $1.8 billion valuation.
AI and automation continue to drive investor appetite. Dublin’s Tines secured a $125 million Series C at a $1.125 billion valuation, and German AI customer service startup Parloa raised $120 million at a $1 billion valuation.
Dual-use drone companies also stood out. Portugal-based Tekever confirmed its unicorn status with plans for a £400 million UK expansion, while Quantum Systems raised €160 million to scale its AI-driven drones globally.
Film-streaming platform Mubi and encryption startup Zama also joined the unicorn club, showing the breadth of sectors gaining traction. With Bristol, Manchester, Munich, and Stockholm among the hotspots, Europe’s tech ecosystem continues to diversify.
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Beatoven.ai has launched Maestro, a generative AI model for instrumental music that will later expand to vocals and sound effects. The company claims it is the first fully licensed AI model, ensuring royalties for artists and rights holders.
Trained on licensed datasets from partners such as Rightsify and Symphonic Music, Maestro avoids scraping issues and guarantees attribution. Beatoven.ai, with two million users and 15 million tracks generated, says Maestro can be fine-tuned for new genres.
The platform also includes tools for catalogue owners, allowing labels and publishers to analyse music, generate metadata, and enhance back-catalogue discovery. CEO Mansoor Rahimat Khan said Maestro builds an ‘AI-powered music ecosystem’ designed to push creativity forward rather than mimic it.
Industry figures praised the approach. Ed Newton-Rex of Fairly Trained said Maestro proves AI can be ethical, while Musical AI’s Sean Power called it a fair licensing model. Beatoven.ai also plans to expand its API into gaming, film, and virtual production.
The launch highlights the wider debate over licensing versus scraping. Scraping often exploits copyrighted works without payment, while licensed datasets ensure royalties, higher-quality outputs, and long-term trust. Advocates argue that licensing offers a more sustainable and fairer path for GenAI music.
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