Alibaba Cloud opens AI centre in Singapore to drive regional innovation

Alibaba Cloud has launched its AI Global Competency Centre in Singapore to drive innovation and support growing regional demand for cloud and AI technologies. The centre aims to help more than 5,000 businesses and 100,000 developers access advanced tools.

The facility includes an innovation lab offering curated datasets, token credits, and tailored support for real-world AI solutions. A strong focus will be placed on building a robust talent pipeline, with plans to train 100,000 AI professionals each year through partnerships with over 120 universities.

Alibaba Cloud is positioning Singapore as a key digital hub, reinforcing its role in the Asia-Pacific AI ecosystem. The company also announced its third data centre in Malaysia and a second one in the Philippines, scheduled for October, to meet surging demand in Southeast Asia.

The launch marks Alibaba Cloud’s continued global expansion. Executives have underlined their ambition to make Singapore a global AI and cloud innovation leader through strategic partnerships and infrastructure development.

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OpenAI and Oracle join forces for massive AI data centre expansion

OpenAI had signed a significant cloud computing deal with Oracle worth $30 billion per year, aiming to secure around 4.5GW of capacity through the Stargate joint venture, in which Oracle is a key investor.

Oracle plans to develop several large-scale data centres across the United States, including a potential expansion of its Abilene, Texas, site from 1.2GW to 2GW.

According to reports from Bloomberg and the Financial Times, other locations under consideration include Michigan, Wisconsin, Wyoming, New Mexico, Georgia, Ohio, and Pennsylvania.

In addition to its collaboration with Oracle, OpenAI continues using Microsoft Azure as its primary cloud provider and works with CoreWeave and Google. Notably, OpenAI leverages Google’s custom TPUs in some operations.

Despite the partnerships, OpenAI is pursuing plans to build its data centre infrastructure. The company also intends to construct a Stargate campus in the United Arab Emirates, in collaboration with Oracle, Nvidia, Cisco, SoftBank, and G42, and is scouting global locations for future facilities.

The massive investment underscores OpenAI’s growing compute needs and the global scale of its AI ambitions.

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DeepSeek gains business traction despite security risks

Chinese AI company DeepSeek is gaining traction in global markets despite growing concerns about national security.

While government bans remain in place across several countries, businesses are turning to DeepSeek’s models for low cost and firm performance, often ranking just behind OpenAI’s ChatGPT and Google’s Gemini in traffic and market share.

DeepSeek’s appeal lies in its efficiency. With advanced engineering techniques like its ‘mixture-of-experts’ system, the company has reduced computing costs by activating fewer parameters without a noticeable drop in performance.

Training costs have reportedly been as low as $5.6 million — a fraction of what rivals like Anthropic spend. As a result, DeepSeek’s models are now available across major platforms, including AWS, Azure, Google Cloud, and even open-source repositories like GitHub and Hugging Face.

However, the way DeepSeek is accessed matters. While companies can safely self-host the models in private environments, using the mobile app or website means sending data to Chinese servers, a key reason for widespread bans on public-sector use.

Individual consumers often lack the technical control enterprises enjoy, making their data more vulnerable to foreign access.

Despite the political tension, demand continues to grow. US firms are exploring DeepSeek as a cost-saving alternative, and its models are being deployed in industries from telecoms to finance.

Even Perplexity, an American AI firm, has used DeepSeek R1 to power a research tool hosted entirely on Western servers. DeepSeek’s open-source edge and rapid technical progress are helping it close the gap with much larger AI competitors — quietly but significantly.

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Brazil sets flat 17.5 percent tax on all crypto gains

Brazil has implemented a significant shift in its approach to digital assets with a new crypto tax law taking effect on 12 June 2025. Under Provisional Measure 1303, a flat 17.5% tax now applies to all cryptocurrency gains, replacing the former progressive regime.

The previous exemption for monthly gains under 35,000 reais has been abolished, placing new pressure on small and casual traders.

The law’s reach is extensive, applying not only to traditional crypto trades but also to decentralised finance (DeFi), NFT transactions, staking rewards, and offshore wallets. Gains are now reported quarterly, with losses deductible over the past five quarters — a period that shortens in 2026.

Smaller investors are the most brutal hit, now fully taxed on previously exempt profits. Meanwhile, high-net-worth individuals could benefit, as gains that once faced a 22.5% rate are now capped at 17.5%.

The reform forms part of Brazil’s 2025 tax overhaul to expand the fiscal base amid record tax levels. Crypto may further integrate into Brazil’s economy, with payroll in digital assets under review and stricter monitoring ahead.

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Meta’s AI chatbots are designed to initiate conversations and enhance user engagement

Meta is training AI-powered chatbots that can remember previous conversations, send personalised follow-up messages, and actively re-engage users without needing a prompt.

Internal documents show that the company aims to keep users interacting longer across platforms like Instagram and Facebook by making bots more proactive and human-like.

Under the project code-named ‘Omni’, contractors from the firm Alignerr are helping train these AI agents using detailed personality profiles and memory-based conversations.

These bots are developed through Meta’s AI Studio — a no-code platform launched in 2024 that lets users build customised digital personas, from chefs and designers to fictional characters. Only after a user initiates a conversation can a bot send one follow-up, and that too within a 14-day window.

Bots must match their assigned personality and reference earlier interactions, offering relevant and light-hearted responses while avoiding emotionally charged or sensitive topics unless the user brings them up. Meta says the feature is being tested and rolled out gradually.

The company hopes it will not only improve user retention but also serve as a response to what CEO Mark Zuckerberg calls the ‘loneliness epidemic’.

With revenue from generative AI tools projected to reach up to $3 billion in 2025, Meta’s focus on more prolonged and engaging chatbot interactions appears to be as strategic as social.

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Judge allows US antitrust case against apple to proceed

A US federal judge has rejected Apple’s attempt to dismiss a major antitrust lawsuit, allowing the case to move forward. The ruling, issued Monday by District Judge Xavier Neals in New Jersey, marks a significant step in the Justice Department’s ongoing challenge to Apple’s business practices.

The lawsuit, filed 15 months ago, accuses Apple of building an illegal monopoly around the iPhone by erecting barriers that prevent competition and inflate profits. Neals’ 33-page opinion found the case strong enough to proceed to trial, which could begin as early as 2027.

Apple had argued the case was flawed, claiming the government misunderstood the smartphone market and distorted legal standards. But Judge Neals ruled there was sufficient evidence for the Justice Department’s claims to be tested in court.

At the heart of the lawsuit is Apple’s so-called ‘walled garden’ — a tightly controlled ecosystem of hardware and software. While Apple says this approach enhances user experience, the government claims it stifles innovation and raises prices.

The court agreed the case contained ‘several allegations of technological barricades that constitute anticompetitive conduct.’ Neals also warned of the ‘dangerous possibility’ that Apple’s control over the iPhone has crossed into illegal monopoly territory.

In response, Apple maintained its position, stating: ‘The DOJ’s case is wrong on the facts and the law.’
The company pledged to continue defending itself in court against the accusations.

The lawsuit is one of several legal threats confronting Apple, whose 2023 profits totalled $94 billion on $295 billion in revenue. In April, another judge barred Apple from charging fees on in-app purchases processed through alternative payment methods.

That ruling could cost the company billions in commission revenue, previously collected at rates of 15% to 30%. Additionally, a separate antitrust case may impact Apple’s agreement with Google, which is worth over $20 billion per year.

Under that deal, Google is the default search engine on Apple devices — a setup under scrutiny for its alleged anticompetitive effects. A Washington, DC judge is now considering whether to outlaw the arrangement as part of a broader case against Google.

On the same day as Neals’ ruling, Apple was also hit with a new lawsuit by app developer Proton.
The case seeks class-action status and accuses Apple of monopolistic behaviour that harms smaller developers and app creators.

Proton’s suit demands punitive damages and a court order to dismantle the walled garden approach central to Apple’s ecosystem. Combined with the DOJ case, the new lawsuit deepens Apple’s mounting legal pressures over its dominance in the digital economy.

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X to test AI-generated Community Notes

X, the social platform formerly known as Twitter, is preparing to test a new feature allowing AI chatbots to generate Community Notes.

These notes, a user-driven fact-checking system expanded under Elon Musk, are meant to provide context on misleading or ambiguous posts, such as AI-generated videos or political claims.

The pilot will enable AI systems like Grok or third-party large language models to submit notes via API. Each AI-generated comment will be treated the same as a human-written one, undergoing the same vetting process to ensure reliability.

However, concerns remain about AI’s tendency to hallucinate, where it may generate inaccurate or fabricated information instead of grounded fact-checks.

A recent research paper by the X Community Notes team suggests that AI and humans should collaborate, with people offering reinforcement learning feedback and acting as the final layer of review. The aim is to help users think more critically, not replace human judgment with machine output.

Still, risks persist. Over-reliance on AI, particularly models prone to excessive helpfulness rather than accuracy, could lead to incorrect notes slipping through.

There are also fears that human raters could become overwhelmed by a flood of AI submissions, reducing the overall quality of the system. X intends to trial the system over the coming weeks before any wider rollout.

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Sparkassen to offer crypto trading in Germany by 2026

Germany’s largest banking group, Sparkassen, plans to offer cryptocurrency trading services to retail customers by the summer of 2026. The decision reverses Sparkassen’s 2023 stance, when it called digital assets ‘highly speculative’ and avoided crypto products.

Sparkassen’s crypto offering will be powered by its subsidiary Dekabank, which already holds a licence from Germany’s financial regulator BaFin. The new platform will let customers trade major tokens like Bitcoin and Ethereum, expanding beyond institutional services.

The move follows the introduction of the EU’s MiCA framework, which has provided banks across Europe with legal clarity to pursue crypto services. Demand for regulated digital asset access has already been seen through products like Börse Stuttgart’s Bison app and similar banking initiatives.

Although interest continues to grow, German regulators remain cautious. The country’s financial watchdog received over 8,700 suspicious activity reports related to crypto in 2024—its highest figure to date.

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M&S eyes full online recovery by august after cyberattack

Marks & Spencer (M&S) expects its full online operations to be restored within four weeks, following a cyber attack that struck in April. Speaking at the retailer’s annual general meeting, CEO Stuart Machin said the company aims to resolve the majority of the incident’s impact by August.

The cyberattack, attributed to human error, forced M&S to suspend online sales and disrupted supply chain operations, including its Castle Donington distribution centre. The breach also compromised customer personal data and is expected to result in a £300 million hit to the company’s profit.

April marked the beginning of a multi-month recovery process, with M&S confirming by May that the breach involved a supply chain partner. By June, the financial and operational damage became clear, with limited online services restored and key features like click-and-collect still unavailable.

The e-commerce platform in Great Britain is now partially operational, but services such as next-day delivery remain offline. Machin stated that recovery is progressing steadily, with the goal of full functionality within weeks.

Julius Cerniauskas, CEO of web intelligence firm Oxylabs, highlighted the growing risks of social engineering in cyber incidents. He noted that while technical defences are improving, attackers continue to exploit human vulnerabilities to gain access.

Cerniauskas described the planned recovery timeline as a ‘solid achievement’ but warned that long-term reputational effects could persist. ‘It’s not a question of if you’ll be targeted – but when,’ he said, urging firms to bolster both human and technical resilience.

Executive pay may also be impacted by the incident. According to the Evening Standard, chairman Archie Norman said incentive compensation would reflect any related performance shortfalls. Norman added that systems are gradually returning online and progress is being made each week.

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Amazon reaches one million warehouse robots

Amazon has reached a major milestone with over one million robots now operating in its warehouses.

The one millionth robot, recently deployed to a facility in Japan, marks 13 years since the tech giant began introducing automation through its acquisition of Kiva Systems in 2012.

The robotic presence is fast approaching parity with Amazon’s human workforce, according to The Wall Street Journal. Robots now assist in around 75% of the company’s global deliveries.

The company continues to upgrade its robotic fleet, recently unveiling Vulcan — a dual-armed model equipped with a suction grip and a sense of touch to handle items more delicately.

Amazon is also introducing DeepFleet, a new generative AI model built using Amazon SageMaker.

Designed to optimise robotic movement within fulfilment centres, DeepFleet is expected to improve fleet speed by 10%. The model is trained on Amazon’s operational data, making it highly tailored to the company’s logistical network.

The expansion comes as Amazon opens next-generation fulfilment centres featuring ten times more robots instead of relying solely on existing warehouse models. The first of these facilities opened in late 2024 in Shreveport, Louisiana, signalling a shift toward even greater automation.

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