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Apple and Google face scrutiny over browser competition

Britain’s Competition and Markets Authority (CMA) has concluded that the mobile browser market, led by Apple and Google, is not functioning effectively for consumers and businesses. The findings support the regulator’s decision to launch an investigation into the sector earlier this year.

Concerns are largely focused on Apple’s policies regarding internet access through its Safari browser, which dominates its devices with an 88% market share. Google’s Chrome browser holds a 77% share on Android devices.

The UK CMA’s independent inquiry group suggested that if Apple and Google are found to have ‘strategic market status’ (SMS), regulatory interventions may be necessary to encourage competition. These could include measures allowing rival browsers to introduce new features.

Apple has defended its approach, arguing that proposed remedies could undermine security and user experience, while Google highlighted Android’s openness in fostering competition and innovation.

The investigation forms part of a broader effort to assess competition in mobile ecosystems, with final decisions expected later this year.

The inquiry group’s chair, Margot Daly, stated that limited competition between mobile browsers is stifling innovation, reinforcing the need for regulatory action.

The CMA’s ongoing probe into the dominance of Apple and Google aims to ensure a fairer and more competitive digital marketplace.

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EU draft AI code faces industry pushback

The tech industry remains concerned about a newly released draft of the Code of Practice on General-Purpose Artificial Intelligence (GPAI), which aims to help AI providers comply with the EU‘s AI Act.

The proposed rules, which cover transparency, copyright, risk assessment, and mitigation, have sparked significant debate, especially among copyright holders and publishers.

Industry representatives argue that the draft still presents serious issues, particularly regarding copyright obligations and external risk assessments, which they believe could hinder innovation.

Tech lobby groups, such as the CCIA and DOT Europe, have expressed dissatisfaction with the latest draft, highlighting that it continues to impose burdensome requirements beyond the scope of the original AI Act.

Notably, the mandatory third-party risk assessments both before and after deployment remain a point of contention. Despite some improvements in the new version, these provisions are seen as unnecessary and potentially damaging to the industry.

Copyright concerns remain central, with organisations like News Media Europe warning that the draft still fails to respect copyright law. They argue that AI companies should not be merely expected to make ‘best efforts’ not to use content without proper authorisation.

Additionally, the draft is criticised for failing to fully address fundamental rights risks, which, according to experts, should be a primary concern for AI model providers.

The draft is open for feedback until 30 March, with the final version expected to be released in May. However, the European Commission’s ability to formalise the Code under the AI Act, which comes into full effect in 2027, remains uncertain.

Meanwhile, the issue of copyright and AI is also being closely examined by the European Parliament.

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Google enhances Gemini AI with smarter personalisation

Google has announced an update to its Gemini AI assistant, enhancing personalisation to better anticipate user needs and deliver responses that feel more like those of a personal assistant.

The feature, initially available on desktop before rolling out to mobile, allows Gemini to offer tailored recommendations, such as travel ideas, based on search history and, in the future, data from apps like Photos and YouTube.

Users can opt in to the new personalisation features, sharing details like dietary preferences or past conversations to refine responses further.

Google assures that users must explicitly grant permission for Gemini to access search history and other services, and they can disconnect at any time.

However, this level of contextual awareness could give Google an advantage over competitors like ChatGPT by leveraging its vast ecosystem of user data.

The update signals a shift in how users interact with AI, bringing it closer to traditional search while raising questions for publishers and SEO professionals.

As Gemini increasingly provides direct, personalised answers, it may reduce the need for users to visit external websites. While currently experimental, the potential for Google to push broader adoption of AI-driven personalisation could reshape digital content discovery and search behaviour in the future.

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Major companies back global nuclear energy expansion

Several major companies, including Amazon and Google, have pledged to support the goal of tripling the world’s nuclear energy capacity by 2050.

However, this commitment was made during the CERAWeek conference in Houston, with other signatories such as shale company Occidental and Japanese firm IHI Corp. The World Nuclear Association (WNA) facilitated the pledge and expects more industries, including maritime and aviation, to join in the coming months.

Nuclear energy currently accounts for 9% of the world’s electricity, produced by 439 power reactors. As large tech companies like Amazon and Google pursue nuclear projects, including small modular reactors, the demand for uranium, essential for nuclear technology, has surged.

However, uranium supply remains constrained, mainly coming from Kazakhstan, Canada, and Australia.

With high demand, uranium prices reached a 16-year peak last year, driven by supply disruptions during the COVID-19 lockdowns.

Despite this, global nuclear power generation continues to be concentrated in just a few countries, with 411 reactors in operation as of early 2025, providing a combined 371 gigawatts of capacity.

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Indian police arrest Garantex administrator wanted by US

Indian authorities have arrested Aleksej Besciokov, an administrator of the Russian cryptocurrency exchange Garantex, at the request of the US.

Besciokov, a Russian resident and Lithuanian national, was taken into custody in Kerala on charges of money laundering and violating sanctions. The Central Bureau of Investigation (CBI) said he was planning to flee India, and Washington is expected to seek his extradition.

The arrest follows a joint operation by the US, Germany, and Finland to dismantle Garantex’s online infrastructure.

The exchange, under US sanctions since 2022, has processed at least $96 billion in cryptocurrency transactions since 2019. The US Justice Department recently charged two administrators, including Besciokov, with operating an unlicensed money-transmitting business.

Experts warn that sanctioned exchanges often attempt to bypass restrictions by setting up new entities. Blockchain research firm TRM Labs called the Garantex takedown a significant step in combating illicit finance but emphasised the need for continued vigilance against evasion tactics.

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Singapore fraud case involves $390 million in transactions

Singapore prosecutors revealed on Thursday that a fraud case involving local firms accused of illegally supplying US servers to Malaysia involves transactions worth $390 million.

Three men—Singaporeans Aaron Woon and Alan Wei, along with Chinese national Li Ming—have been charged with deceiving tech giants Dell and Super Micro by misrepresenting the servers’ final destination.

The case has been linked to Chinese AI firm DeepSeek, which is under US scrutiny over the potential use of banned Nvidia chips.

While Singapore authorities confirmed the servers may have contained Nvidia components, they did not specify whether these were the restricted high-end semiconductors subject to US export controls.

Singapore’s Law and Home Affairs Minister K Shanmugam declined to comment on the alleged connection.

Prosecutors claim Wei paid himself tens of millions in dividends, while Woon received a multimillion-dollar bonus. Singaporean authorities are investigating a wider network of 22 individuals and companies suspected of similar fraudulent practices, with six additional arrests made.

The accused are set to reappear in court on May 2, while Malaysian authorities are also probing potential legal violations.

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India plans five-year limit on satellite spectrum

India’s telecom regulator plans to recommend allocating satellite broadband spectrum for around five years to assess market adoption, a move that goes against Elon Musk’s Starlink, which has been pushing for a 20-year permit.

The Telecom Regulatory Authority of India (TRAI) is finalising key recommendations on the licensing timeframe and pricing, opting for a shorter period to monitor industry growth before making long-term commitments.

A government official confirmed TRAI is inclined towards a five-year limit, allowing regulators to review the market and revise spectrum pricing as needed.

However, this decision could impact Starlink’s long-term plans in India, as its deals with Reliance and Airtel are still pending regulatory approvals. Meanwhile, industry forecasts suggest India’s satellite communication sector could expand over tenfold, reaching $25 billion by 2028.

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Zhipu AI raises 500 million yuan amid rising competition

Chinese startup Zhipu AI has secured 500 million yuan (£54.8 million) in funding from the state-owned Huafa Group, following a separate 1 billion yuan capital raise earlier this month.

Huafa Group, a government-backed conglomerate based in Zhuhai, Guangdong province, announced its investment as Chinese cities compete to support AI firms, a sector seen as critical in Beijing’s technological rivalry with the US.

The funding comes amid increasing competition in China’s AI industry, particularly with Hangzhou-backed DeepSeek, whose large language models have gained attention for their cost-effectiveness and performance against Western alternatives.

Zhipu AI, established in 2019 and recognised as one of China’s ‘AI tigers,’ has received investments from major tech firms including Tencent, Meituan, and Xiaomi. The startup was valued at 20 billion yuan (£2.2 billion) in a funding round last July, according to business registration platform Qichacha.

With the new funding, Zhipu AI aims to enhance technological innovation and further develop its GLM foundation model.

However, the company faces challenges on the international stage, having been added to the US Commerce Department’s export control list in January, restricting its access to American components.

Despite these hurdles, China continues to bolster its AI sector as it seeks to establish a leading position in global artificial intelligence development.

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FTC confirms no delay in Amazon trial

The US Federal Trade Commission (FTC) announced on Wednesday that it does not need to delay its September trial against Amazon, contradicting an earlier claim by one of its attorneys about resource shortages.

Jonathan Cohen, an FTC lawyer, retracted his statement that cost-cutting measures had strained the agency’s ability to proceed, assuring the court that the FTC is fully prepared to litigate the case.

FTC Chairman Andrew Ferguson reaffirmed the agency’s commitment, dismissing concerns over budget constraints and stating that the FTC will not back down from taking on Big Tech.

Earlier in the day, Cohen had described a ‘dire resource situation,’ citing employee resignations, a hiring freeze, and restrictions on legal expenses. However, he later clarified that these challenges would not impact the case.

The lawsuit, filed in 2023, accuses Amazon of using ‘dark patterns’ to mislead consumers into enrolling in automatically renewing Prime subscriptions, a program with over 200 million users.

With claims exceeding $1 billion, the trial is expected to be a high-profile battle between regulators and one of the world’s largest tech companies. Amazon has denied any wrongdoing, and three of its senior executives are also named in the case.

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OpenAI launches responses API for AI agent development

OpenAI has unveiled new tools to help developers and businesses build AI agents, which are automated systems that can independently perform tasks. These tools are part of OpenAI’s new Responses API, allowing enterprises to create custom AI agents that can search the web, navigate websites, and scan company files, similar to OpenAI’s existing Operator product. The company plans to phase out its older Assistants API by 2026, replacing it with the new capabilities.

The Responses API provides developers with access to powerful AI models, such as GPT-4o search and GPT-4o mini search, which are designed for high factual accuracy. OpenAI claims these models can offer more reliable answers than previous versions, with GPT-4o search achieving a 90% accuracy rate. Additionally, the platform includes a file search feature to help companies quickly retrieve information from their databases. The CUA model, which automates tasks like data entry, is also available, allowing developers to automate workflows with more precision.

Despite its promise, OpenAI acknowledges that there are still challenges to address, such as AI hallucinations and occasional errors in task automation. However, the company continues to improve its models, and the introduction of the Agents SDK gives developers the tools they need to build, debug, and optimise AI agents. OpenAI’s goal is to move beyond demos and create impactful tools that will shape the future of AI in enterprise applications.

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