Artificial intelligence Archives | Page 490 of 695

Italian newspaper ‘Il Foglio’ has published the world’s first AI-generated edition

The Italian newspaper ‘Il Foglio’ has released an edition entirely generated by AI, marking (as far as we know) an unprecedented step in journalism. This four-page supplement, ‘Il Foglio AI,’ accompanies the regular print edition and is accessible online.

The initiative is part of a month-long experiment led by editor Claudio Cerasa, aiming to explore AI’s impact on journalistic practices and daily life. Cerasa emphasised that AI was utilised for all aspects of the edition, including writing, headlines, quotes, and summaries, with journalists’ roles limited to inputting questions and reviewing AI-generated responses.

The AI-generated content covers a range of topics. The front page analyses US President Donald Trump’s Italian supporters, highlighting contradictions in their stance on ‘cancel culture.’ Another prominent article examines Russian President Vladimir Putin’s ’10 betrayals,’ detailing two decades of unfulfilled promises and broken agreements. Additionally, an economic piece discusses Italy’s recent income tax reforms, noting salary increases for approximately 750,000 workers.

The edition addresses contemporary social issues, such as young Europeans’ shift away from traditional relationships, coining the term ‘situationships.’ The final page includes AI-generated letters to the editor, one of which humorously questions whether AI will render humans ‘useless’ in the future.

The AI responds wittily, acknowledging its limitations by stating it ‘doesn’t yet know how to order a coffee without getting the sugar wrong.’

While the articles are clear and free of grammatical errors, they notably lack direct human quotations, showing current limitations in AI-generated journalism.

Cerasa describes ‘Il Foglio AI’ as a genuine newspaper, embodying news, debate, and provocation. He views it as a practical test to understand how AI can be integrated into daily journalistic routines, encouraging contemplation of the broader questions this technology raises.

Cerasa concludes by suggesting that this edition represents ‘just another Il Foglio made with intelligence,’ challenging readers to reconsider the definition of AI.

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Mark Zuckerberg confirms Llama’s soaring popularity

Meta’s open AI model family, Llama, has reached a significant milestone, surpassing 1 billion downloads, according to CEO Mark Zuckerberg. The announcement, made on Threads, highlights a rapid rise in adoption, with downloads increasing by 53% since December 2024. Llama powers Meta’s AI assistant across Facebook, Instagram, and WhatsApp, forming a crucial part of the company’s expanding AI ecosystem.

Despite its success, Llama has not been without controversy. Meta faces a lawsuit alleging the model was trained on copyrighted material without permission, while regulatory concerns have stalled its rollout in some European markets. Additionally, emerging competitors, such as China’s DeepSeek R1, have challenged Llama’s technological edge, prompting Meta to intensify its AI research efforts.

Looking ahead, Meta plans to launch several new Llama models, including those with advanced reasoning and multimodal capabilities. Zuckerberg has hinted at ‘agentic’ features, suggesting the AI could soon perform tasks autonomously. More details are expected at LlamaCon, Meta’s first AI developer conference, set for 29 April.

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

Nvidia introduces high-performance AI machines for the future

At GTC 2025, Nvidia CEO Jensen Huang unveiled a new generation of AI-focused personal supercomputers designed to redefine computing in the era of AI. The two new machines, DGX Spark and DGX Station, are powered by Nvidia’s Grace Blackwell chip platform and promise to deliver unprecedented AI computing power at the edge.

DGX Spark, available immediately, features the GB10 Grace Blackwell Superchip, capable of up to 1,000 trillion operations per second. Meanwhile, the DGX Station, set for release later this year, is built with the GB300 Grace Blackwell Ultra Desktop Superchip and 784GB of memory. According to Nvidia, these supercomputers will allow users to prototype, fine-tune, and deploy AI models with greater efficiency.

Huang described the devices as the future of computing, highlighting their role in supporting AI applications across enterprises. Nvidia has partnered with major manufacturers, including Asus, Dell, HP, and Lenovo, to bring these machines to market. As AI adoption continues to surge, these systems could become essential tools for developers and businesses looking to stay ahead in an increasingly AI-driven world.

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Nvidia holds back on optical technology for GPUs

Nvidia’s CEO, Jensen Huang, has s tated that a promising new chip technology, co-packaged optics, is not yet reliable enough for use in the company’s flagship GPUs.

The technology, which uses laser beams to transfer data via fiber optic cables instead of traditional copper, is more energy-efficient and faster.

However, Huang emphasized that copper connections remain ‘orders of magnitude’ more reliable than today’s optical alternatives, making them the preferred choice for now.

Speaking at Nvidia’s annual developer conference in San Jose, Huang announced that the company will use co-packaged optics in two upcoming networking chips designed for server switches, increasing their energy efficiency by three and a half times.

These switch chips will be released later this year and into 2026, marking a gradual technological step forward. However, Huang clarified that Nvidia currently has no plans to implement optical connections between GPUs, as reliability remains a key priority for its AI-focused customers like OpenAI and Oracle.

Silicon Valley startups such as Ayar Labs, Lightmatter, and Celestial AI have invested heavily in co-packaged optics, seeing it as essential for building more powerful AI systems. Nvidia itself has backed some of these ventures, despite Huang’s cautious approach.

While optical connections could eventually help AI models process complex tasks more efficiently, Nvidia is prioritizing proven technology for its near-term roadmap, ensuring stability in an industry preparing to invest hundreds of billions in AI infrastructure.

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Tencent sees surge in profits and revenue

Tencent, a leading Chinese tech giant, has reported impressive financial results for the fourth quarter and full year, boosted by its strategic investment in AI.

For the three months ending December 31, Tencent’s net profits soared by 90% year-on-year to 51.3 billion yuan ($7.1 billion), while its revenue increased by 11% to 172.4 billion yuan, surpassing analyst expectations.

The company’s strong performance was attributed to AI-driven enhancements in its advertising platform, growing video account engagement, and solid results from its gaming division.

For the full year, Tencent’s revenue reached 660.3 billion yuan, up 8% from the previous year, with net profits jumping 68% to 194.1 billion yuan.

CEO Pony Ma highlighted the role of AI in driving innovation, noting that Tencent had reorganized its AI teams to focus on fast product development and advanced model research.

The company’s stock price has surged to its highest in nearly four years, reflecting strong investor confidence.

The increased AI interest follows the unexpected global success of DeepSeek, a Chinese startup whose chatbot development caught the attention of investors, positioning China as a competitor to Western tech leaders like OpenAI.

Ma expressed Tencent’s admiration for DeepSeek and confirmed its active integration of their technology. Tencent has also started testing its own AI model, ‘Hunyuan Thinker’, which aims to offer more professional and human-like responses.

Despite its financial successes, Tencent faces ongoing challenges, including a sluggish domestic economy and political tensions, particularly with the US.

In January, the US added Tencent to a list of firms linked to China’s military, a move the company and the Chinese government have criticized as unjustified.

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India’s banks encouraged to adopt AI for consumer protection

Indian banks should harness AI to improve internal controls and address customer complaints more effectively, according to central bank governor Sanjay Malhotra.

Malhotra highlighted concerns over rising complaints about mis-selling and aggressive banking practices, warning that the issue could escalate if left unchecked. In the 2023-2024 financial year, 95 commercial banks in India received over 10 million complaints from customers.

AI-powered solutions can help financial institutions analyse large data sets to detect issues such as ATM failures and erroneous charges before they become widespread.

Malhotra also pointed to the potential of AI-driven chatbots and voice recognition tools to assist customers in multiple languages, making banking services more accessible in India’s linguistically diverse market.

Alongside AI adoption, Malhotra urged banks to invest in human capital to enhance customer service and grievance redressal processes.

Strengthening both technology and human resources will be crucial in ensuring financial institutions can meet the needs of a rapidly growing customer base while maintaining trust and transparency.

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

DeepMind’s Hassabis calls for UK leadership in AI development

Britain should use its strengths in AI to shape how the technology is deployed worldwide, according to DeepMind founder Demis Hassabis.

Hassabis highlighted the country’s leading universities and skilled workforce as key factors in maintaining a competitive edge. Speaking at a Google AI event, he stressed the economic and geopolitical importance of ensuring AI development aligns with ethical and practical standards.

The UK government is working to boost AI innovation, with advanced technology at the centre of discussions between Prime Minister Keir Starmer and US officials.

Google has announced upgrades to its AI offerings in Britain, including expanded UK data residency for its work productivity tool, Google Agentspace. Meanwhile, tech rival Oracle has pledged a $5 billion investment in Britain over the next five years to support growing demand for cloud services.

Hassabis also called for global standards on the use of copyrighted material in AI development, noting the challenges of regulating models used across different countries.

Google’s AI expansion includes the addition of its Chirp 3 audio generation model to Vertex AI, enhancing cloud services with human-like voice capabilities. The UK remains a key player in the AI sector, with industry leaders pushing for policies that ensure responsible and effective deployment of the technology.

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Google reduces costs with MediaTek in AI chip development

Google is set to collaborate with Taiwan’s MediaTek on the next generation of its Tensor Processing Unit (TPU) chips, which are expected to be produced next year.

The partnership is partly driven by cost considerations, as MediaTek offers Google a lower price per chip than its long-time partner Broadcom. MediaTek’s close ties with Taiwan Semiconductor Manufacturing Company (TSMC) also played a role in Google’s decision.

Despite the new partnership, Google has not severed ties with Broadcom, which has exclusively worked on its AI chips for several years.

Broadcom remains involved in the project, and an employee at the company confirmed that the relationship with Google is still intact. Google has been developing its own AI server chips, allowing it to reduce reliance on Nvidia, whose processors dominate the industry.

Google introduced its sixth-generation TPU last year to provide itself and its cloud customers with an alternative to Nvidia’s highly sought-after chips. The company reportedly spent between $6 billion and $9 billion on TPUs in 2023, based on revenue targets from Broadcom.

By bringing MediaTek into the fold, Google aims to strengthen its AI chip strategy while managing production costs more efficiently.

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Elon Musk’s xAI expands with Hotshot acquisition

xAI, Elon Musk’s AI company, has acquired Hotshot, a San Francisco-based startup focused on generative AI video tools.

The company, founded by Aakash Sastry and John Mullan, initially developed AI-driven photo editing tools but shifted its focus to text-to-video AI models.

Hotshot’s video foundation models, such as Hotshot-XL and Hotshot Act One, have already gained significant attention in the AI industry.

The acquisition is expected to boost xAI’s plans to develop its own video generation models, competing with major competitors like OpenAI’s Sora and Google’s Veo 2.

Musk had previously hinted at the creation of a ‘Grok Video’ model, which he anticipates launching in the near future. Hotshot’s team will likely play a key role in scaling these efforts, using xAI’s powerful infrastructure, including the Colossus cluster.

Hotshot’s website has confirmed the sunsetting of its video creation tools as of March 14, with existing customers having until March 30 to download their content.

The specifics of the staff transition to xAI remain unclear, with Sastry declining to comment. This acquisition represents a significant step for xAI in the rapidly evolving generative AI space.

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Palmetto leverages AI to revolutionise home electrification across the US

Palmetto, known for its innovative approach to residential solar installations, is now focusing on the broader electrification of US homes using AI.

The company has developed an AI-powered tool that simulates digital twins of homes across the country, which will help determine how technologies like heat pumps and solar panels can be effectively deployed in individual homes.

By using public and private data, Palmetto’s AI can infer critical information about a home, such as insulation types and building materials, to optimise energy efficiency.

As the residential solar market slows, Palmetto has expanded its software to include electrification solutions beyond solar, including backup batteries and heat pumps.

The company has now made its tool available to external developers through an API, allowing them to create new applications that can speed up the electrification process.

Palmetto hopes that developers will build tools that can quickly address the demand for these technologies, which will be essential in the US effort to reduce carbon emissions.

The company’s AI system analyses over 60 characteristics of homes, including details like the construction year and materials used, to make accurate energy efficiency predictions.

However, this tool will also offer developers insights into the growing electrification market. With an API offering 500 free calls per month, Palmetto’s strategy allows for scalable growth while providing key data for the company’s future development.

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