Sustainable development Archives | Page 181 of 294

IBM sets 2029 target for quantum breakthrough

IBM has set out a detailed roadmap to deliver a practical quantum computer by 2029, marking a major milestone in its long-term strategy.

The company plans to build its ‘Starling’ quantum system at a new data centre in Poughkeepsie, New York, targeting around 200 logical qubits—enough to begin outperforming classical computers in specific tasks instead of lagging due to error correction limitations.

Quantum computers rely on qubits to perform complex calculations, but high error rates have held back their potential. IBM shifted its approach in 2019, designing error-correction algorithms based on real, manufacturable chips instead of theoretical models.

The change, as the company says, will significantly reduce the qubits needed to fix errors.

With confidence in its new method, IBM will build a series of quantum systems until 2027, each advancing toward a larger, more capable machine.

Vice President Jay Gambetta stated the key scientific questions have already been resolved, meaning what remains is primarily an engineering challenge instead of a scientific one.

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Meta strikes $15B deal with Scale AI

Meta Platforms is set to acquire a 49 percent stake in Scale AI for nearly $15 billion, marking its largest-ever deal.

CEO Mark Zuckerberg sees The agreement as a significant move to accelerate Meta’s push into AI instead of relying solely on in-house development.

Scale AI, founded in 2016, supplies curated training data to major players such as OpenAI, Google, Microsoft and Meta. The company expects to more than double its revenue in 2025 to around $2 billion.

Once the deal is finalised, Scale AI CEO Alexandr Wang is expected to join Meta’s new AI team focused on developing artificial general intelligence (AGI).

According to Bloomberg, Zuckerberg is hiring around 50 people for a ‘superintelligence’ team.

The effort aligns with Meta’s broader AI plans, including capital expenditure of up to $65 billion in 2025 to expand its AI infrastructure instead of falling behind rivals in the AI race.

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Sam Altman predicts AI will discover new ideas

In a new blog post titled The Gentle Singularity, OpenAI CEO Sam Altman predicted that AI systems capable of producing ‘novel insights’ may arrive as early as 2026.

While Altman’s essay blends optimism with caution, it subtly signals the company’s next central ambition — creating AI that goes beyond repeating existing knowledge and begins generating original ideas instead of mimicking human reasoning.

Altman’s comments echo a broader industry trend. Researchers are already using OpenAI’s recent o3 and o4-mini models to generate new hypotheses. Competitors like Google, Anthropic and FutureHouse are also shifting their focus towards scientific discovery.

Google’s AlphaEvolve has reportedly devised novel solutions to complex maths problems, while FutureHouse claims to have built AI capable of genuine scientific breakthroughs.

Despite the optimism, experts remain sceptical. Critics argue that AI still struggles to ask meaningful questions, a key ingredient for genuine insight.

Former OpenAI researcher Kenneth Stanley, now leading Lila Sciences, says generating creative hypotheses is a more formidable challenge than agentic behaviour. Whether OpenAI achieves the leap remains uncertain, but Altman’s essay may hint at the company’s next bold step.

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Massive leak exposes data of millions in China

Cybersecurity researchers have uncovered a brief but significant leak of over 600 gigabytes of data, exposing information on millions of Chinese citizens.

The haul, containing WeChat, Alipay, banking, and residential records, is part of a centralised system, possibly aimed at large-scale surveillance instead of a random data breach.

According to research from Cybernews and cybersecurity consultant Bob Diachenko, the data was likely used to build individuals’ detailed behavioural, social and economic profiles.

They warned the information could be exploited for phishing, fraud, blackmail or even disinformation campaigns instead of remaining dormant. Although only 16 datasets were reviewed before the database vanished, they indicated a highly organised and purposeful collection effort.

The source of the leak remains unknown, but the scale and nature of the data suggest it may involve government-linked or state-backed entities rather than lone hackers.

The exposed information could allow malicious actors to track residence locations, financial activity and personal identifiers, placing millions at risk instead of keeping their lives private and secure.

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OpenAI’s revenue almost doubles to $10 billion

OpenAI has revealed that its annualised revenue has surged to $10 billion as of June 2025, nearly doubling since December 2024, when it stood at $5.5 billion.

The rapid growth is driven by the widespread adoption of its ChatGPT AI models across consumer and business markets, putting the company on course to meet its earlier goal of $12.7 billion in revenue for the whole year.

The $10 billion figure excludes licensing income from Microsoft, a major investor, and some large one-off contracts, according to an OpenAI spokesperson. Despite recording a loss of about $5 billion last year, OpenAI’s impressive revenue scale places it well ahead of many rivals benefiting from the AI boom.

Other players in the AI space are also seeing strong growth. For instance, Anthropic recently surpassed $3 billion in annualised revenue, driven by startup demand using its code-generation models. Meanwhile, OpenAI plans to raise up to $40 billion in new funding, valuing the company at $300 billion.

Since launching ChatGPT over two years ago, OpenAI has expanded its offerings with various subscription plans and services. The company reported 500 million weekly active users as of March 2025, underscoring its dominant position in the AI market.

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Apple reveals new AI features at WWDC

Apple has unveiled a range of AI features at its annual Worldwide Developers Conference, focusing on tighter privacy, enhanced user tools and broader integration with OpenAI’s ChatGPT. These updates will appear across iOS 26, iPadOS 26, macOS 26 and visionOS 26, set to launch in autumn.

While Apple Intelligence was first teased last year, the company now allows third-party developers to access its on-device AI models for the first time.

CEO Tim Cook and software chief Craig Federighi outlined how these features are intended to offer more personalised, efficient apps. Users of newer iPhones will benefit from tools such as live translation in Messages and FaceTime, and AI-powered image analysis via Visual Intelligence.

Apple also enables users to blend emojis creatively and use ChatGPT through its Image Playground to stylise photos. Enhancements to the Wallet app will help summarise order tracking from emails, and AI-generated voices will offer fitness updates.

Despite these innovations, Apple’s redesign of Siri remains incomplete and is not expected to launch soon.

The event failed to deliver major surprises, as many details had already been leaked. Investors responded cautiously, sending Apple shares down by 1.2%. The firm has lost 20% of its value in the year and no longer holds the top spot as the world’s most valuable company.

Nonetheless, Apple is expected to reveal more AI advancements in 2026.

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M&S resumes online orders after cyberattack

Marks & Spencer has resumed online clothing orders following a 46-day pause triggered by a cyberattack. The retailer restarted standard home delivery across England, Scotland and Wales, focusing initially on best-selling and new items instead of the full range.

A spokesperson stated that additional products will be added daily, enabling customers to gradually access a wider selection. Services such as click and collect, next-day delivery, and international orders are expected to be reintroduced in the coming weeks, while deliveries to Northern Ireland will resume soon.

The disruption began on 25 April when M&S halted clothing and home orders after issues with contactless payments and app services during the Easter weekend. The company revealed that the breach was caused by hackers who deceived staff at a third-party contractor, bypassing security defences.

M&S had warned that the incident could reduce its 2025/26 operating profit by around £300 million, though it aims to limit losses through insurance and internal cost measures. Shares rose 3 per cent as the online service came back online.

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Reddit targets AI firm over scraped sports posts

Reddit has taken legal action against AI company Anthropic, accusing it of scraping content from the platform’s sports-focused communities.

The lawsuit claims Anthropic violated Reddit’s user agreement by collecting posts without permission, particularly from fan-driven discussions that are central to how sports content is shared online.

Redd it argues the scraping undermines its obligations to over 100 million daily users, especially around privacy and user control. According to the filing, Anthropic’s actions override assurances that users can manage or delete their content as they see fit.

The platform emphasises that users gain no benefit from technology built using their contributions.

These online sports communities are rich sources of original fan commentary and analysis. On a large scale, such content could enable AI models to imitate sports fan behaviour with impressive accuracy.

While teams or platforms might use such models to enhance engagement or communication, Reddit warns that unauthorised use brings serious ethical and legal risks.

The case could influence how AI companies handle user-generated content across the internet, not just in sports. As web scraping grows more common, the outcome of the dispute may shape future standards for AI training practices and online content rights.

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Cybersecurity alarm after 184 million credentials exposed

A vast unprotected database containing over 184 million credentials from major platforms and sectors has highlighted severe weaknesses in data security worldwide.

The leaked credentials, harvested by infostealer malware and stored in plain text, pose significant risks to consumers and businesses, underscoring an urgent need for stronger cybersecurity and better data governance.

Cybersecurity researcher Jeremiah Fowler discovered the 47 GB database exposing emails, passwords, and authorisation URLs from tech giants like Google, Microsoft, Apple, Facebook, and Snapchat, as well as banking, healthcare, and government accounts.

The data was left accessible without any encryption or authentication, making it vulnerable to anyone with the link.

The credentials were reportedly collected by infostealer malware such as Lumma Stealer, which silently steals sensitive information from infected devices. The stolen data fuels a thriving underground economy involving identity theft, fraud, and ransomware.

The breach’s scope extends beyond tech, affecting critical infrastructure like healthcare and government services, raising concerns over personal privacy and national security. With recurring data breaches becoming the norm, industries must urgently reinforce security measures.

Chief Data Officers and IT risk leaders face mounting pressure as regulatory scrutiny intensifies. The leak highlights the need for proactive data stewardship through encryption, access controls, and real-time threat detection.

Many organisations struggle with legacy systems, decentralised data, and cloud adoption, complicating governance efforts.

Enterprise leaders must treat data as a strategic asset and liability, embedding cybersecurity into business processes and supply chains. Beyond technology, cultivating a culture of accountability and vigilance is essential to prevent costly breaches and protect brand trust.

The massive leak signals a new era in data governance where transparency and relentless improvement are critical. The message is clear: there is no room for complacency in safeguarding the digital world’s most valuable assets.

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UK teams with tech giants on AI training

The UK government is launching a nationwide AI skills initiative aimed at both workers and schoolchildren, with Prime Minister Keir Starmer announcing partnerships with major tech companies including Google, Microsoft and Amazon.

The £187 million TechFirst programme will provide AI education to one million secondary students and train 7.5 million workers over the next five years.

Rather than keeping such tools limited to specialists, the government plans to make AI training accessible across classrooms and businesses. Companies involved will make learning materials freely available to boost digital skills and productivity, particularly in using chatbots and large language models.

Starmer said the scheme is designed to empower the next generation to shape AI’s future instead of being shaped by it. He called it the start of a new era of opportunity and growth, as the UK aims to strengthen its global leadership in AI.

The initiative arrives as the country’s AI sector, currently worth £72 billion, is projected to grow to more than £800 billion by 2035.

The government also signed two agreements with NVIDIA to support a nationwide AI talent pipeline, reinforcing efforts to expand both the workforce and innovation in the sector.

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