Artificial intelligence

Pennsylvania to host $10 billion AI natural gas-powered data center on former coal site

The now-defunct Homer City Generating Station site, once the state’s largest coal plant, is repurposed into a massive $10 billion natural gas-powered data centre campus.

The development aims to meet the surging electricity demands of tech giants racing to power AI and cloud computing infrastructure.

Located about 50 miles east of Pittsburgh, the proposed facility will feature seven gas-fired turbines capable of generating up to 4.5 gigawatts of electricity, enough to power roughly 3 million homes.

The project’s backers, a group of investors operating under Homer City Development, say the campus will host advanced data centres directly on-site.

Construction is expected to begin this year, with the first wave of power projected to come online by 2027.

The developers note that the existing infrastructure left behind by the coal plant offers a significant advantage.

Transmission lines, substations, and water access link the site to the broader energy grid covering the Mid-Atlantic and New York regions.

Additionally, the location sits atop the Marcellus Shale, one of the most abundant natural gas reserves in the US, and has been awarded a $5 million state grant to extend a new gas pipeline to the property.

Homer City Generating Station was decommissioned in 2023 after over five decades of operation.

Its shutdown came amid declining coal competitiveness, warmer winters that reduced electricity demand, and increasing environmental regulations.

Why does it matter?

The launch of OpenAI’s ChatGPT in late 2022 provoked the birth of other LLMs and, therefore, the need to back up and enhance LLMs’ evolution, sparking global demand for high-powered computing systems.

Tech firms are now in a race to secure reliable energy sources, reviving interest in natural gas plants and nuclear energy as concerns arise over potential electricity shortages.

Pennsylvania’s Homer City initiative mirrors moves seen elsewhere in the country, including the upcoming reopening of the Three Mile Island nuclear facility, which will provide power under a long-term agreement with Microsoft.

These examples show the growing pressure on power infrastructure as AI pushes the limits of existing grids and forces a rethinking of how and where data centres should be built.

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Chinese tech firm Honor bets big on AI devices

Chinese smartphone maker Honor has unveiled a $10 billion investment plan aimed at advancing AI technologies across its product ecosystem. The announcement was made by CEO James Li at the Mobile World Congress in Barcelona, where he outlined the company’s ambition to evolve beyond smartphones and expand into AI-powered PCs, tablets, and wearables.

The major funding initiative comes as Honor prepares for a public listing, following a shareholder restructuring completed in December. While a date for the IPO has yet to be confirmed, the company appears to be positioning itself as a key player in China’s AI race, spurred by growing domestic interest in large language models like those developed by DeepSeek.

Despite slipping to fourth place in China’s smartphone market last year, Honor continues to receive strong backing from the Shenzhen local government. Support has included R&D funding, tax incentives, and assistance with international expansion. The company’s strategic pivot to AI reflects broader trends in China’s tech sector, as firms seek to integrate smart features into a wider range of consumer devices.

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Tim Cook donates to Zhejiang University on China visit

Apple CEO Tim Cook made a surprise visit to China last week, marking the 10th anniversary partnership between Apple and Zhejiang University. During the visit, Cook announced a donation of RMB 30 million (£3.4 million) to support programming education and cultivate future talent in app development. The funds will establish the Apple Mobile Application Incubation Fund, offering training and connecting students to industry mentors and opportunities.

Zhejiang University, located in Hangzhou and considered one of the top institutions in China, has worked with Apple on mobile app innovation since 2015. Their long-standing collaboration has already reached over 30,000 students through competitions and workshops across the country. The new investment brings the total funding from Apple over the decade to RMB 80 million (£9.1 million).

Apple’s move reinforces its commitment to the Chinese market amid ongoing regulatory challenges. Some Apple Intelligence features remain unavailable in China, prompting the company to explore partnerships with local AI firms. While no formal agreements have been announced, the tech giant’s engagement with Chinese academia may also pave the way for future tech integration and regulatory compliance.

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OpenAI CEO says India leads in AI creativity

Sam Altman sparked interest among Indian users on X after praising the country’s rapid AI adoption and sharing an AI-generated image of himself playing cricket. In his 2 April post, the OpenAI CEO called India’s AI creativity an ‘explosion,’ claiming the country was outpacing the world in adoption rates.

Users questioned why Altman singled out India, with some turning to AI chatbots like Perplexity and Grok for verification. His comments followed a February visit to India, where he met IT Minister Ashwini Vaishnaw and highlighted India as OpenAI’s second-largest market.

Altman’s remarks also came shortly after OpenAI’s GPT-4o update, which enhanced AI-generated images and illustrations. To showcase this, he shared an anime-style image of himself as a cricket player, sporting a Team India jersey.

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Bill Gates foresees AI-driven two-day work weeks

Bill Gates has predicted that AI will reduce work hours significantly, with two-day work weeks becoming a reality in the next decade.

His vision contrasts with views in India, where figures like Narayana Murthy and S.N. Subrahmanyan argue for longer work hours instead of reducing them, believing they are crucial for economic growth.

However, Harsh Goenka and Harish Mariwala, who focus on ambition and productivity instead of hours worked, have a different take. They stress the importance of quality instead of quantity in work hours.

Studies, such as those from Iceland and New Zealand, suggest that reduced working hours can lead to higher productivity and a better work-life balance.

In Iceland, trials reducing weekly hours from 40 to 35 saw workers feeling more energised and less stressed, while New Zealand’s Perpetual Guardian found that employees completed tasks in fewer hours, raising engagement and reducing stress.

Despite Gates’ prediction, the idea of working only two days a week seems extreme, especially considering his past work ethic.

Gates himself worked long hours instead of fewer ones during his early career, fearing mistakes could cost him his company, but he acknowledges that AI and technology have shifted the landscape.

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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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The overlooked legacy of the Lwów–Warsaw school in shaping modern AI

AI may seem like a modern marvel, but its foundations stretch back to early 20th-century philosophical thought—particularly to the Lwów–Warsaw School of Philosophy. In a recent blog by Jovan Kurbalija, Executive Director of Diplo, he highlights how this influential movement, established by Kazimierz Twardowski and active between the world wars, made groundbreaking contributions to logic, semantics, and analytical philosophy—fields that underpin today’s AI systems.

Despite being overshadowed by more famous contemporaries like the Vienna Circle, the Lwów–Warsaw School cultivated thinkers whose work continues to shape how machines process language and make decisions. Among the most influential figures was Alfred Tarski, whose formal definition of truth laid the groundwork for natural language processing (NLP), enabling AI to understand and generate human language.

Another key contributor, Jan Łukasiewicz, developed many-valued logic—a system that goes beyond simple true/false decisions and allows machines to reason through uncertainty, essential in complex tasks like autonomous driving or medical diagnostics. The school’s importance isn’t just technical.

Its strong emphasis on analytical rigour also offers tools for navigating AI’s growing ethical concerns—ranging from fairness in algorithmic decisions to broader questions about consciousness and societal impact. Though these philosophical aspects are less often discussed, they’re crucial for ensuring AI development remains responsible and aligned with human values.

The intellectual legacy is rarely acknowledged in mainstream AI history. Yet, as Kurbalija emphasises, AI’s roots are deeper and more diverse than we often realise. Revisiting the Lwów–Warsaw School highlights how past ideas can still guide us in shaping the technologies of tomorrow.

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AI transforms autism therapy in China

In Shenzhen, a quiet breakthrough is unfolding in autism rehabilitation as AI-powered tools begin to transform how young children receive therapy.

At a local centre, a therapist guides a three-year-old boy through speech exercises, while an AI system documents progress and instantly generates a tailored home-training plan, offering much-needed support to both therapists and families.

China faces a severe shortage of autism therapists, with only around 100,000 professionals serving a community of over 10 million individuals, including 3 million children.

Traditional diagnosis and treatment rely on time-consuming behavioural assessments. Now, AI is streamlining this process.

Centres like Dami & Xiaomi, in partnership with Amazon Web Services, have developed RICE AI, a system trained on over 80 million behavioural data points to generate faster, personalised interventions and even custom visual materials for home learning.

By dramatically reducing workloads and enhancing precision, AI is helping to close the gap in early intervention and support.

More facilities are following suit, with efforts underway to unify and open-source these tools across the country. As one mother tearfully recalled her autistic son’s first spoken word, the emotional impact of this technological shift was clear, AI is not replacing care, but deepening it.

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Emergence AI launches platform that builds AI with AI

The startup Emergence AI has launched a new no-code platform that allows users to generate custom AI agents simply by describing tasks in natural language.

These agents can then autonomously create other, more specialised agents to complete complex work, in real time and without requiring human coding expertise.

The system, which the company calls a breakthrough in ‘recursive intelligence’, checks its registry of agents for task compatibility. If existing agents aren’t suitable, new ones are created instantly to handle the job.

These can also anticipate related tasks, boosting automation across enterprise operations. Emergence AI claims the platform can seamlessly orchestrate collaboration among multiple agents, bringing a new level of efficiency to data transformation, migration, analytics, and even code generation and verification.

Users can select from a range of major large language models including OpenAI’s GPT-4.5, Anthropic’s Claude, and Meta’s Llama. Enterprises can also integrate their own models.

With safety and oversight in mind, Emergence AI has built in access controls, performance verification tools, and human review processes to ensure responsible deployment. Pricing has yet to be disclosed, but interested parties are encouraged to contact the firm directly.

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Qualcomm taps Vietnamese talent to push AI innovation

Qualcomm has acquired MovianAI, the generative AI division of Vietnam’s VinAI, in a move aimed at enhancing its capabilities across smartphones, PCs, and automotive technologies.

The US chipmaker described the acquisition as a strategic step to fuel future innovation in AI, with particular emphasis on customised models and advanced engineering.

MovianAI brings expertise in machine learning, computer vision, and natural language processing. Qualcomm highlighted the value of adding ‘high-calibre talent’ to its engineering team, with MovianAI’s founder and CEO Hung Bui, who previously worked at Google DeepMind, set to join the company.

Bui stated that his team is eager to contribute to Qualcomm’s mission of scaling foundational AI breakthroughs across industries.

Qualcomm has a two-decade history of working with Vietnamese companies, particularly in 5G, IoT, and AI development. While the financial terms of the deal remain undisclosed, Vietnamese outlet VNExpress International reported that Qualcomm has acquired a 65 per cent stake in MovianAI.

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