Competition regulation

Binance Japan integrates PayPay Money for crypto

Binance Japan and PayPay have launched a new service that enables users to purchase crypto assets using PayPay Money and PayPay Points. The integration allows funds deposited from PayPay Money to be used directly for spot trading on Binance Japan.

Users can also withdraw proceeds from crypto sales back into their PayPay Balance. Previously, trading and withdrawals were restricted to Japanese yen transfers via domestic banks or external wallets.

The new system allows one-click deposits and withdrawals, starting from JPY 1,000.

The service works 24 hours a day, 365 days a year, offering a smoother trading experience for both mobile and web users. To activate the integration, users enable the linkage via the PayPay icon within Binance Japan’s trading platform.

The initiative reflects growing collaboration between PayPay and Binance Japan, aiming to enhance convenience and accessibility for both first-time traders and experienced users while expanding crypto adoption in Japan.

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Italy closes Google probe after consent changes

Italy has closed its investigation into Google after the company agreed to adjust how it requests user consent for personal data use. Regulators had accused Google of presenting unclear and potentially misleading choices when connecting users to its services.

The authority said Google will now offer clearer explanations about how consent affects data processing. Updates will outline where personal information may be combined or used across the company’s wider service ecosystem.

Officials launched the probe in July 2024, arguing Google’s approach could amount to aggressive commercial practice. Revised consent flows were accepted as sufficient remedies, leading to the closure of the case without financial penalties.

The Italian competition regulator indicated that transparency improvements were central to compliance. Similar scrutiny continues across Europe as regulators assess how large technology firms obtain permission for extensive data handling.

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GPT‑5 expands research speed and idea generation for scientists

AI technology is increasingly helping scientists accelerate research across fields including biology, mathematics, physics, and computer science. Early GPT‑5 studies show it can synthesise information, propose experiments, and aid in solving long-standing mathematical problems.

Experts note the technology expands the range of ideas researchers can explore and shortens the time to validate results.

Case studies demonstrate tangible benefits: in biology, GPT‑5 helped identify mechanisms in human immune cells within minutes, suggesting experiments that confirmed the results.

In mathematics, GPT‑5 suggested new approaches, and in optimisation, it identified improved solutions later verified by researchers.

These advances reinforce human-led research rather than replacing it.

OpenAI for Science emphasises collaboration between AI and experts. GPT‑5 excels at conceptual literature review, exploring connections across disciplines, and proposing hypotheses for experimental testing.

Its greatest impact comes when researchers guide the process, breaking down problems, critiquing suggestions, and validating outcomes.

Researchers caution that AI does not replace human expertise. Current models aid speed, idea generation, and breadth, but expert oversight is essential to ensure reliable and meaningful scientific contributions.

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Chen Deli warns that AGI progress could bring dangerous societal consequences

DeepSeek made a rare public appearance at the World Internet Conference in Wuzhen, where senior researcher Chen Deli restated the firm’s ambition to develop AGI. He joined other companies known as China’s ‘six little dragons’ of AI and acknowledged the potential risks of advanced systems.

Chen represented founder Liang Wenfeng, who has remained out of the public eye since meeting President Xi Jinping earlier this year. He said AI’s current limits create a short ‘honeymoon phase’ before automation reshapes employment and social stability.

The start-up, founded in 2023 as a High-Flyer spin-out, continues to focus on long-term AGI research rather than short-lived commercial trends. Chen said it was reasonable to consider the dangers of highly capable systems while still pursuing them.

His comments echoed an open letter calling for a pause on superintelligence work until strong public support and scientific consensus on safety emerge. Hundreds of experts and public figures backed the appeal for tighter oversight.

Chen argued that market incentives make slowing progress unrealistic and said widespread job replacement may ultimately define the AI revolution. Other firms from China, including Zhipu AI and Alibaba, outlined plans for more powerful infrastructure to meet rising compute demand.

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UK unveils major push to drive national AI growth

A significant wave of public and private investment is set to place AI at the centre of the UK’s growth strategy. AI Growth Zones backed by substantial investment will drive job creation, high-tech infrastructure and local industry development across regions such as South Wales, London and Bristol.

Government officials stated that the measures aim to provide British firms with the tools necessary to scale and compete globally.

South Wales will host a significant £10 billion development expected to create over 5,000 jobs in the next decade. The zone will focus on data centres, advanced computing and AI research, supported by government funding for skills development and business adoption.

International tech companies expanding in the UK include Microsoft, Vantage Data Centres, Groq and Perplexity AI, each committing to new sites and enlarged workforces.

Further support will expand access to computing for researchers and start-ups nationwide. A government-backed advance market commitment worth up to £100 million will help hardware-focused AI firms secure their first key customers.

Officials confirmed nearly £500 million for the Sovereign AI Unit, which will scale domestic capabilities and back high-potential firms. Up to £137 million will also support the UK’s new AI-for-science strategy, which focuses on accelerating drug discovery and other breakthroughs.

Government representatives and industry leaders described the announcements as a turning point for the UK’s innovation capacity. Supporters say the measures will strengthen Britain’s tech leadership while creating jobs, boosting regional economies and advancing scientific progress.

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Tech groups welcome EU reforms as privacy advocates warn of retreat

The EU has unveiled plans to scale back certain aspects of its AI and data privacy rules to revive innovation and alleviate regulatory pressure on businesses. The Digital Omnibus package delays stricter oversight for high-risk AI until 2027 and permits the use of anonymised personal data for model training.

The reforms amend the AI Act and several digital laws, cutting cookie pop-ups and simplifying documentation requirements for smaller firms. EU tech chief Henna Virkkunen says the aim is to boost competitiveness by removing layers of rigid regulation that have hindered start-ups and SMEs.

US tech lobby groups welcomed the overall direction. Still, they criticised the package for not going far enough, particularly on compute thresholds for systemic-risk AI and copyright provisions with cross-border effects. They argue the reforms only partially address industry concerns.

Privacy and digital rights advocates sharply opposed the changes, warning they represent a significant retreat from Europe’s rights-centric regulatory model. Groups including NOYB accused Brussels of undermining hard-won protections in favour of Big Tech interests.

Legal scholars say the proposals could shift Europe closer to a more permissive, industry-driven approach to AI and data use. They warn that the reforms may dilute the EU’s global reputation as a standard-setter for digital rights, just as the world seeks alternatives to US-style regulation.

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EU eases AI and data rules to boost tech growth

The European Commission has proposed easing AI and data privacy rules to cut red tape and help European tech firms compete internationally. Companies could access datasets more freely for AI training and have 16 months to comply with ‘high-risk’ AI rules.

Brussels also aims to cut the number of cookie pop-ups, allowing users to manage consent more efficiently while protecting privacy. The move has sparked concern among rights groups and campaigners who fear the EU may be softening its stance on Big Tech.

Critics argue that loosening regulations could undermine citizen protections, while European companies welcome the changes as a way to foster innovation and reduce regulatory burdens that have slowed start-ups and smaller businesses.

EU officials emphasise that the reforms seek a balance between competitiveness and safeguarding fundamental rights. Commission officials say the measures will help European firms compete with US and Chinese rivals while safeguarding citizen privacy.

Simplifying consent mechanisms and providing companies more operational flexibility are central to the plan’s goals.

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US administration pushes back on proposal to restrict Nvidia sales to China

The White House is urging Congress to reject a bipartisan proposal that would restrict Nvidia from selling advanced AI chips to China and other countries subject to an embargo. The GAIN AI Act would require chipmakers to prioritise US buyers before exporting high-performance hardware.

Lawmakers are debating whether to attach the provision to the annual defence spending bill, a move that could accelerate approval. The White House intervention represents a significant win for Nvidia, which has lobbied to maintain export flexibility amid shifting trade policies.

China was previously a significant market for Nvidia, but the firm has pared back expectations due to rising geopolitical risks. Beijing has also increased scrutiny of US-made chips as it pushes for self-reliance in AI and semiconductor technology.

The policy discussions come shortly after Nvidia posted stronger-than-expected third-quarter earnings and issued an upbeat outlook. CEO Jensen Huang has pushed back against concerns of an AI-driven valuation bubble, arguing demand remains robust.

Nvidia’s shares rose 5 percent after hours following the earnings report, reflecting investor confidence as Washington continues to debate the future of AI chip export controls.

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AI in healthcare gains regulatory compass from UK experts

Professor Alastair Denniston has outlined the core principles for regulating AI in healthcare, describing AI as the ‘X-ray moment’ of our time.

Like previous innovations such as MRI scanners and antibiotics, AI has the potential to improve diagnosis, treatment and personalised care dramatically. Still, it also requires careful oversight to ensure patient safety.

The MHRA’s National Commission on the Regulation of AI in Healthcare is developing a framework based on three key principles. The framework must be safe, ensuring proportionate regulation that protects patients without stifling innovation.

It must be fast, reducing delays in bringing beneficial technologies to patients and supporting small innovators who cannot endure long regulatory timelines. Ultimately, it must be trusted, with transparent processes that foster confidence in AI technologies today and in the future.

Professor Denniston emphasises that AI is not a single technology but a rapidly evolving ecosystem. The regulatory system must keep pace with advances while allowing the NHS to harness AI safely and efficiently.

Just as with earlier medical breakthroughs, failure to innovate can carry risks equal to the dangers of new technologies themselves.

The National Commission will soon invite the public to contribute their views through a call for evidence.

Patients, healthcare professionals, and members of the public are encouraged to share what matters to them, helping to shape a framework that balances safety, speed, and trust while unlocking the full potential of AI in the NHS.

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Target expands OpenAI partnership with new ChatGPT shopping app

Target is expanding its partnership with OpenAI by launching a new shopping app directly inside ChatGPT. The app offers customers personalised recommendations, multi-item baskets and streamlined checkout across Drive Up, Order Pickup and shipping.

The retailer will continue using OpenAI’s models and ChatGPT Enterprise to enhance employee productivity and strengthen digital experiences across its business.

AI is central to Target’s operations, supporting supply-chain forecasts, store processes, and personalised digital tools. Over 18,000 employees utilise ChatGPT Enterprise to streamline routine tasks, enhance creativity, and receive faster support for guest requests and returns through internal AI assistants.

Customer-facing tools such as Shopping Assistant, Gift Finder, Guest Assist and JOY reinforce this strategy by offering curated suggestions and instant answers.

The new Target app inside ChatGPT extends this AI-driven approach to customers. Shoppers will be able to ask for ideas, browse curated suggestions, build baskets and check out through their Target accounts.

The beta version launches next week, and upcoming features include Target Circle linking and same-day delivery. Target views the partnership as part of a retail shift, embedding AI across products, operations and guest interactions to drive the next wave of innovation.

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