Crypto spending in Europe is rising with stablecoins leading

Crypto is gaining traction as a go-to payment method across Europe, with stablecoins playing a leading role. According to a June report from Oobit, more than 75% of crypto purchases made by European users over the past month were settled using stablecoins.

Retail and travel dominate the spending landscape. In countries like Germany, Spain, and Poland, crypto is most commonly used for food, drink, and other retail items. Meanwhile, travel expenses top the list in France, Italy, Greece, and Ireland.

Notably, over half of all crypto transactions were related to everyday shopping, with Poland alone making up a third of those purchases.

Poland, Lithuania, and Estonia are at the forefront of stablecoin adoption. Poland led the region, with over 30% of Oobit’s retail crypto transactions occurring there—most settled in USDC.

Lithuania also showed strong growth, particularly in euro-backed EURR transactions, which have doubled recently. Supportive regulation across these nations, including MiCA-compliant laws, is encouraging the trend.

The findings reflect a wider transition in how crypto is used. Instead of serving purely as an investment, digital currencies are increasingly woven into daily financial activities, showing their value in practical, real-world scenarios.

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TikTok struggles to stop the spread of hateful AI videos

Google’s Veo 3 video generator has enabled a new wave of racist AI content to spread across TikTok, despite both platforms having strict policies banning hate speech.

According to MediaMatters, several TikTok accounts have shared AI-generated videos promoting antisemitic and anti-Black stereotypes, many of which still circulated widely before being removed.

These short, highly realistic videos often included offensive depictions, and the visible ‘Veo’ watermark confirmed their origin from Google’s model.

While both TikTok and Google officially prohibit the creation and distribution of hateful material, enforcement has been patchy. TikTok claims to use both automated systems and human moderators, yet the overwhelming volume of uploads appears to have delayed action.

Although TikTok says it banned over half the accounts before MediaMatters’ findings were published, harmful videos still managed to reach large audiences.

Google also maintains a Prohibited Use Policy banning hate-driven content. However, Veo 3’s advanced realism and difficulty detecting coded prompts make it easier for users to bypass safeguards.

Testing by reporters suggests the model is more permissive than previous iterations, raising concerns about its ability to filter out offensive material before it is created.

With Google planning to integrate Veo 3 into YouTube Shorts, concerns are rising that harmful content may soon flood other platforms. TikTok and Google appear to lack the enforcement capacity to keep pace with the abuse of generative AI.

Despite strict rules on paper, both companies are struggling to prevent their technology from fuelling racist narratives at scale.

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Meta pursues two AI paths with internal tension

Meta’s AI strategy is facing internal friction, with CEO Mark Zuckerberg and Chief AI Scientist Yann LeCun taking sharply different paths toward the company’s future.

While Zuckerberg is doubling down on superintelligence, even launching a new division called Meta Superintelligence Labs, LeCun argues that even ‘cat-level’ intelligence remains a distant goal.

The new lab, led by Scale AI founder Alexandr Wang, marks Zuckerberg’s ambition to accelerate progress in large language models — a move triggered by disappointment in Meta’s recent Llama performance.

Reports suggest the models were tested with customised benchmarks to appear more capable than they were. That prompted frustration at the top, especially after Chinese firm DeepSeek built more advanced tools using Meta’s open-source Llama.

LeCun’s long-standing advocacy for open-source AI now appears at odds with the company’s shifting priorities. While he promotes openness for diversity and democratic access, Zuckerberg’s recent memo did not mention open-source principles.

Internally, executives have even discussed backing away from Llama and turning to closed models like those from OpenAI or Anthropic instead.

Meta is pursuing both visions — supporting LeCun’s research arm, FAIR, and investing in a new, more centralised superintelligence effort. The company has offered massive compensation packages to OpenAI researchers, with some reportedly offered up to $100 million.

Whether Meta continues balancing both philosophies or chooses one outright could determine the direction of its AI legacy.

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Lloyds Bank to test neurosymbolic AI for better customer support

Lloyds has partnered with UnlikelyAI to test neurosymbolic AI across its operations to enhance customer service and reinforce its commitment to responsible AI. The trial will occur in Lloyd’s Innovation Sandbox and focus on ensuring accurate, consistent and explainable outputs.

UnlikelyAI combines neural networks with logic-based symbolic reasoning to produce AI that avoids hallucinations and supports transparent decision-making. The firm was founded by William Tunstall-Pedoe, the creator of voice assistant Evi, which helped build Amazon’s Alexa.

Lloyds hopes the technology will drive more personalised customer support and improve internal efficiency. The bank recently migrated its AI platforms to Google Cloud, further strengthening its digital infrastructure.

The announcement follows increased scrutiny from MPs over banks’ reliance on AI and tech vulnerabilities. Lloyds CEO Charlie Nunn believes new large language models could significantly improve customer interaction and personalised advice.

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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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