Artificial intelligence

Apple partners with Anthropic on AI coding tool

Apple is reportedly collaborating with Anthropic, a startup backed by Amazon, to develop a new AI-powered coding platform called ‘vibe coding’, according to Bloomberg.

The platform will use Anthropic’s Claude Sonnet model to write, edit, and test code on behalf of programmers, updating Apple’s existing Xcode software instead of launching an entirely separate tool.

‘Vibe coding’ refers to a growing trend in AI development where intelligent agents generate code autonomously instead of relying on manual programming. Apple is said to be testing the system internally for now, with no confirmed decision on whether it will become publicly available.

The move comes as tech firms race to lead in generative AI. While Apple previously introduced a similar tool, Swift Assist, it was never released to developers amid concerns from engineers about possible slowdowns in app creation.

Apple and Anthropic have not commented publicly on the reported collaboration.

With rivals like OpenAI pushing ahead—reportedly negotiating a $3 billion acquisition of coding assistant Windsurf—Apple is equipping its devices with more advanced chips and AI features, including ChatGPT integration, to compete in the rapidly evolving landscape instead of falling behind.

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AI to boost India’s media and entertainment sector

AI could boost revenues by 10% and reduce costs by 15% for media and entertainment firms, according to a report by EY, unveiled during the first WAVES Summit.

The report, A Studio Called India, outlines how AI is reshaping the global media landscape—transforming everything from content creation and personalisation to monetisation and distribution.

India, already a global leader in content production and IT, is well-positioned to lead this AI-driven shift.

EY highlighted India’s unique combination of technical skill, creative depth, and a rapidly expanding AI ecosystem, which positions it as a critical hub in the evolving media value chain instead of remaining just an outsourcing destination.

Indian companies are increasingly using generative AI for tasks like campaign optimisation, audience targeting, automated dubbing, and voice cloning.

These tools enable faster localisation of international content and allow global studios to scale up multi-language releases without sacrificing cultural authenticity or narrative integrity.

With 2.8 million people directly employed and around 10 million in indirect roles, India’s media sector is growing rapidly, driven by digital platforms, government support, and rising demand for AI-enhanced content services.

EY concluded that India offers foreign investors a powerful combination of creative scale, cost advantage, and favourable policies instead of regulatory barriers.

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Nvidia moves to comply with US export rules

Nvidia is planning to redesign its AI chips to comply with tightened US export restrictions, aiming to retain its foothold in China instead of pulling back.

According to a report by The Information, the chipmaker has already informed major Chinese clients, such as Alibaba, ByteDance, and Tencent, about its revised strategy. The discussions reportedly occurred during CEO Jensen Huang’s visit to Beijing in mid-April.

The visit came just after Washington expanded its curbs on high-performance AI chip exports to China, specifically targeting Nvidia’s H20 chip.

Originally developed to meet earlier US rules, the H20 has now also been deemed too powerful for export under the new regulations. The US government says the move is aimed at preventing China’s military from accessing cutting-edge AI.

Nvidia previously warned that the latest restrictions could cost it up to $5.5 billion in lost revenue. Instead of backing away, the company is now preparing redesigned chips to stay within legal bounds while continuing to serve Chinese tech firms.

Customers have been told that prototype chips could be ready by June.

In addition, Nvidia is developing a tailored version of its next-generation AI chip, Blackwell, specifically for China. These efforts underline Nvidia’s attempt to balance regulatory compliance with its commercial interests in one of the world’s largest AI markets.

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Musk says AI should replace federal jobs

Elon Musk has suggested that AI should replace many federal government workers, criticising the US administration as bloated and inefficient.

Speaking privately at the Milken Institute Global Conference in Beverly Hills, Musk argued AI could perform government tasks faster and with greater accuracy, ultimately saving taxpayers money.

His remarks coincided with the winding down of his controversial volunteer role leading the Department of Government Efficiency (DOGE), an initiative born under Donald Trump’s presidency.

Musk spent over 100 days embedded in the White House, even setting up a small office in the West Wing. Despite joking about its minimal view and sleeping in the Lincoln Bedroom, he claimed his work had major impacts — including rooting out fraud and slashing federal budgets.

Musk said DOGE was responsible for cutting $160 billion in government spending, although no formal evidence has been released to support that figure.

The programme has sparked intense backlash. Thousands of federal employees were reportedly dismissed or resigned during the DOGE audits, prompting lawsuits and allegations of illegal firings.

Critics say the sweeping cuts have left the US less prepared for emergencies and reduced its global influence, allowing China to expand its reach. Protesters have targeted Tesla in response, leading Trump to defend Musk and condemn the attacks.

Although scaling back his involvement in Washington, Musk isn’t leaving entirely. He will now spend only one or two days a week on government affairs, returning more of his focus to Tesla amid flagging sales and investor pressure.

Despite the chaos, DOGE has inspired new political groups in Congress, blurring the line between satire and policy. Musk himself finds it all surreal, asking, ‘Are we in a simulation here?’

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Chefs quietly embrace AI in the kitchen

At this year’s Michelin Guide awards in France, AI sparked nearly as much conversation as the stars themselves.

Paris-based chef Matan Zaken, of the one-star restaurant Nhome, said AI dominated discussions among chefs, even though many are hesitant to admit they already rely on tools like ChatGPT for inspiration and recipe development.

Zaken openly embraces AI in his kitchen, using platforms like ChatGPT Premium to generate ingredient pairings—such as peanuts and wild garlic—that he might not have considered otherwise. Instead of starting with traditional tastings, he now consults vast databases of food imagery and chemical profiles.

In a recent collaboration with the digital collective Obvious Art, AI-generated food photos came first, and Zaken created dishes to match them.

Still, not everyone is sold on AI’s place in haute cuisine. Some top chefs insist that no algorithm can replace the human palate or creativity honed by years of training.

Philippe Etchebest, who just earned a second Michelin star, argued that while AI may be helpful elsewhere, it has no place in the artistry of the kitchen. Others worry it strays too far from the culinary traditions rooted in local produce and craftsmanship.

Many chefs, however, seem more open to using AI behind the scenes. From managing kitchen rotas to predicting ingredient costs or carbon footprints, phone apps like Menu and Fullsoon are gaining popularity.

Experts believe molecular databases and cookbook analysis could revolutionise flavour pairing and food presentation, while robots might one day take over laborious prep work—peeling potatoes included.

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New Zealand central bank warns of AI risks

The Reserve Bank of New Zealand has warned that the swift uptake of AI in the financial sector could pose a threat to financial stability.

A report released on Monday highlighted how errors in AI systems, data privacy breaches and potential market distortions might magnify existing vulnerabilities instead of simply streamlining operations.

The central bank also expressed concern over the increasing dependence on a handful of third-party AI providers, which could lead to market concentration instead of healthy competition.

A reliance like this, it said, could create new avenues for systemic risk and make the financial system more susceptible to cyber-attacks.

Despite the caution, the report acknowledged that AI is bringing tangible advantages, such as greater modelling accuracy, improved risk management and increased productivity. It also noted that AI could help strengthen cyber resilience rather than weaken it.

The analysis was published just ahead of the central bank’s twice-yearly Financial Stability Report, scheduled for release on Wednesday.

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RackBank launches $118 million AI data centre park in India

RackBank has opened a new AI data centre park in Nava Raipur, Chhattisgarh, with an initial investment of ₹10 billion (around $118 million).

Instead of relying on conventional data infrastructure, the facility focuses on GPU-based computing, AI processing and data analytics, and is expected to generate over 500 jobs, primarily in the IT sector.

Spread across 13.5 acres, the park includes a designated Special Economic Zone and begins operations with a 5 MW capacity. Rather than stopping there, RackBank plans to scale the facility to 150 MW, which could draw an additional ₹20 billion in investment.

The park has been designed to position India as a competitive force in AI infrastructure.

Instead of standard cooling methods, RackBank is deploying its proprietary direct-to-chip and Varuna liquid immersion systems, which aim to cut cooling costs by up to 70% and enhance energy efficiency.

The company envisions the centre as a hub for academic, industrial and governmental collaboration, helping businesses leverage India’s growing GPU capabilities.

Officials see the initiative as a major step toward digital self-reliance. Rather than concentrating such developments in traditional tech hubs, the project puts Chhattisgarh on the national map for data management and AI innovation.

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Google admits using opted-out content for AI training

Google has admitted in court that it can use website content to train AI features in its search products, even when publishers have opted out of such training.

Although Google offers a way for sites to block their data from being used by its AI lab, DeepMind, the company confirmed that its broader search division can still use that data for AI-powered tools like AI Overviews.

An initiative like this has raised concern among publishers who seek reduced traffic as Google’s AI summarises answers directly at the top of search results, diverting users from clicking through to original sources.

Eli Collins, a vice-president at Google DeepMind, acknowledged during a Washington antitrust trial that Google’s search team could train AI using data from websites that had explicitly opted out.

The only way for publishers to fully prevent their content from being used in this way is by opting out of being indexed by Google Search altogether—something that would effectively make them invisible on the web.

Google’s approach relies on the robots.txt file, a standard that tells search bots whether they are allowed to crawl a site.

The trial is part of a broader effort by the US Department of Justice to address Google’s dominance in the search market, which a judge previously ruled had been unlawfully maintained.

The DOJ is now asking the court to impose major changes, including forcing Google to sell its Chrome browser and stop paying to be the default search engine on other devices. These changes would also apply to Google’s AI products, which the DOJ argues benefit from its monopoly.

Testimony also revealed internal discussions at Google about how using extensive search data, such as user session logs and search rankings, could significantly enhance its AI models.

Although no model was confirmed to have been built using that data, court documents showed that top executives like DeepMind CEO Demis Hassabis had expressed interest in doing so.

Google’s lawyers have argued that competitors in AI remain strong, with many relying on direct data partnerships instead of web scraping.

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AI chip restrictions and tariffs weigh on Samsung’s global strategy

Samsung has warned that rising US tariffs could dampen global demand for its electronics, including smartphones and semiconductors.

Despite reporting record quarterly revenue of £41.6 billion and a modest profit rise driven by strong phone and chip sales, the company expressed concerns about the uncertain trade environment.

Executives cited possible risks to sales in the second half of 2025 due to escalating tariff tensions.

While some clients have accelerated orders to avoid incoming levies, Samsung said this may create a sales lull later in the year.

Delayed tariffs affecting countries like South Korea and Vietnam, where Samsung manufactures key components, are expected to take effect in July. US restrictions on AI chip sales to China are also weighing on the company’s outlook.

Samsung refrained from providing financial guidance for the next quarter, citing unpredictable global trade dynamics.

As tariff uncertainty continues, major tech companies like Apple are also reassessing supply chains, with many shifting chip production out of China in anticipation of further disruptions.

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Premium subscribers on X to get 4K video upload option

X is introducing support for 4K video uploads for select creators, aiming to enhance engagement and reduce reliance on rival platforms like YouTube.

The company announced that premium subscribers will soon gain access to this high-resolution feature, expanding beyond the existing 1080p limit.

Since Elon Musk acquired the platform, X has steadily increased video upload limits to encourage richer content sharing. Earlier this year, the company launched a vertical video feed with a dedicated shortcut in its mobile apps.

The move comes amid speculation around a potential TikTok ban in the US, offering X an opportunity to gain traction with video-focused users. X has not yet confirmed whether the current upload size or duration restrictions will change.

These updates reflect X’s broader push to position itself as a viable destination for video creators. By offering higher-quality uploads and a streamlined viewing experience, the platform aims to retain users and attract content from elsewhere

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