UK-based ODI outlines vision for EU AI Act and data policy

The Open Data Institute (ODI) has published a manifesto setting out six principles for shaping European Union policy on AI and data. Aimed at supporting policymakers, it aligns with the EU’s upcoming digital reforms, including the AI Act and the review of the bloc’s digital framework.

Although based in the UK, the ODI has previously contributed to EU policymaking, including work on the General-Purpose AI Code of Practice and consultations on the use of health data. The organisation also launched a similar manifesto for UK data and AI policy in 2024.

The ODI states that the EU has a chance to establish a global model of digital governance, prioritizing people’s interests. Director of research Elena Simperl called for robust open data infrastructure, inclusive participation, and independent oversight to build trust, support innovation, and protect values.

Drawing on the EU’s Competitiveness Compass and the Draghi report, the six principles are: data infrastructure, open data, trust, independent organisations, an inclusive data ecosystem, and data skills. The goal is to balance regulation and innovation while upholding rights, values, and interoperability.

The ODI highlights the need to limit bias and inequality, broaden access to data and skills, and support smaller enterprises. It argues that strong governance should be treated like physical infrastructure, enabling competitiveness while safeguarding rights and public trust in the AI era.

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Musk’s xAI makes Grok 4 free worldwide for a limited time

Elon Musk’s company xAI has made its latest AI model, Grok 4, available to all users worldwide at no cost for a limited period. The model, launched just a month ago, was initially exclusive to paying subscribers of SuperGrok and X Premium.

Although Grok 4 is now open to everyone, its most potent version, Grok 4 Heavy, remains restricted to SuperGrok Heavy members. The announcement comes days after OpenAI unveiled GPT-5, which is also freely accessible.

Grok 4 features two operating modes. Auto mode decides automatically whether a query requires more detailed reasoning, aiming to deliver faster responses and use fewer resources. Expert mode allows users to manually switch the AI into reasoning mode if they want a more thorough reply.

Alongside the release, xAI has introduced Grok Imagine, a free AI video generation tool for users in the US, with enhanced usage limits for paid members in other regions. The tool has already sparked controversy after reports emerged of its use to create explicit videos of celebrities.

Musk has also revealed plans to integrate advertising into the Grok chatbot interface as an additional revenue source to help offset the high costs of running the AI on powerful GPUs.

The ads will be placed between responses and suggestions on both the web platform and the mobile application, marking another step in xAI’s bid to expand its user base while sustaining the service financially.

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Stablecoins unlocking crypto adoption and AI economies

Stablecoins have rapidly risen as one of the most promising breakthroughs in the cryptocurrency world. They are neither traditional currency nor the first thing that comes to mind when thinking about crypto; instead, they represent a unique blend of both worlds, combining the stability of fiat with the innovation of digital assets.

In a market often known for wild price swings, stablecoins offer fresh air, enabling practical use of cryptocurrencies for real-world payments and commerce. The real question is, are stablecoins destined to bring crypto into everyday use and unlock their full potential for the masses?

Stablecoins might be the missing piece that unlocks crypto’s full promise and reshapes the future of digital finance.

Stablecoin regulation: How global rules drive adoption

Regulators worldwide are stepping up to define clear rules for stablecoins, signalling growing market maturity and increasing confidence from major financial institutions. Recent legislative efforts across multiple jurisdictions aim to establish firm standards such as full reserves, audits, and licensing requirements, encouraging banks and asset managers to engage more confidently with stablecoins. 

These coordinated global moves go beyond simple policy updates; they are laying the foundation for stablecoins to evolve from niche crypto assets to trusted pillars of the future financial ecosystem. Regulators and industry leaders are thus bringing cryptocurrencies closer to everyday users and embedding them into daily financial life. 

Stablecoins might be the missing piece that unlocks crypto’s full promise and reshapes the future of digital finance.

Corporations and banks embracing stablecoins: A paradigm shift

The adoption of stablecoins by big corporations and banks marks a significant turning point, and, in some ways, a paradox. Once seen as an enemy of decentralised finance, these institutions now seem to be conceding and joining the movement they once resisted – what you fail to control – can ultimately win. 

Retail giants such as Walmart and Amazon are reportedly exploring their stablecoin initiatives to streamline payments and foster deeper customer engagement. On the banking side, institutions like Bank of America, JPMorgan Chase, and Citigroup are developing or assessing stablecoins to integrate crypto-friendly services into their offerings.

Western Union is also experimenting with stablecoin solutions to reduce remittance costs and increase transaction speed, particularly in emerging markets with volatile currencies. 

They all realise that staying competitive means adapting to the latest shifts in global finance. Such corporate interest signals that stablecoins are transitioning from speculative assets to functional money-like assets capable of handling everyday transactions across orders and demographics. 

There is also a sociological dimension to stablecoins’ corporate and institutional embrace. Established institutions bring an inherent trust that can alleviate the scepticism surrounding cryptocurrencies.

By linking stablecoins to familiar brands and regulated banks, these digital tokens can overcome cultural and psychological barriers that have limited crypto adoption, ultimately embedding digital currencies into the fabric of global commerce.

Stablecoins might be the missing piece that unlocks crypto’s full promise and reshapes the future of digital finance.

Stablecoins and the rise of AI-driven economies

Stablecoins are increasingly becoming the financial backbone of AI-powered economic systems. As AI agents gain autonomy to transact, negotiate, and execute tasks on behalf of individuals and businesses, they require a reliable, programmable, and instantly liquid currency.

Stablecoins perfectly fulfil this role, offering near-instant settlement, low transaction costs, and transparent, trustless operations on blockchain networks. 

In the emerging ‘self-driving economy’, stablecoins may be the preferred currency for a future where machines transact independently. Integrating programmable money with AI may redefine the architecture of commerce and governance. Such a powerful synergy is laying the groundwork for economic systems that operate around the clock without human intervention. 

As AI technology continues to advance rapidly, the demand for stablecoins as the ideal ‘AI money’ will likely accelerate, further driving crypto adoption across industries. 

Stablecoins might be the missing piece that unlocks crypto’s full promise and reshapes the future of digital finance.

The bridge between crypto and fiat economies

From a financial philosophy standpoint, stablecoins represent an attempt to synthesise the advantages of decentralisation with the stability and trust associated with fiat money. They aim to combine the freedom and programmability of blockchain with the reassurance of stable value, thereby lowering entry barriers for a wider audience.

On a global scale, stablecoins have the potential to revolutionise cross-border payments, especially benefiting countries with unstable currencies and limited access to traditional banking. 

Sociologically, stablecoins could redefine the way societies perceive money and trust. Moving away from centralised authorities controlling currency issuance, these tokens leverage transparent blockchain ledgers that anyone can verify. The shift challenges traditional power structures and calls for new forms of economic participation based on openness and accessibility.

Yet challenges remain: stablecoins must navigate regulatory scrutiny, develop secure infrastructure, and educate users worldwide. The future will depend on balancing innovation, safety, and societal acceptance – it seems like we are still in the early stages.

Perhaps stablecoins are not just another financial innovation, but a mirror reflecting our shifting relationship with money, trust, and control. If the value we exchange no longer comes from paper, metal, or even banks, but from code, AI, and consensus, then perhaps the real question is whether their rise marks the beginning of a new financial reality – or something we have yet to fully understand.

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eBay uses AI to attract more marketplace sellers

eBay is introducing a new AI-powered feature to help sellers respond to buyer questions, continuing its AI strategy to streamline selling. Over 10 million sellers have used these tools to create over 200 million listings, with about 500,000 AI-assisted listings generated daily.

The company has launched several AI tools over the past two years, including generative video, listing assistants, bulk upload features and photo background enhancements.

Executives see AI as a way to increase seller retention, expand inventory, and drive buyer traffic, particularly in a competitive market where Amazon, Etsy, and Poshmark offer similar capabilities.

While adoption is optional, eBay tests features with its seller community, making adjustments based on feedback to ensure tone and presentation feel authentic. The company views AI as essential to maintaining its place at the forefront of online marketplaces.

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AI-powered heist drains $1m from crypto wallets via Firefox add-ons

Hackers have stolen over $1 million in cryptocurrency using AI-generated malicious Firefox extensions disguised as legitimate wallet tools.

The group, known as GreedyBear, created over 150 fake add-ons for platforms like MetaMask and Phantom, bypassing security checks to drain funds from thousands of users. Analysts say AI enabled the attackers to automate coding and deployment at an industrial scale.

The theft comes amid a record-breaking year for crypto crime, with Chainalysis data showing over $2.17 billion stolen so far in 2025. Many incidents exploit smart contract flaws and human error, with access control attacks accounting for the most recent losses.

Security experts warn that AI is now a double-edged sword, helping attackers and defenders. They urge exchanges, developers, and users to adopt AI-powered monitoring, stronger verification, and collaborative defences to restore trust in digital assets.

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Tesla seeks approval to supply electricity in the UK

Tesla has applied for a licence to supply electricity to homes and businesses across Britain, challenging the dominance of major energy firms. Ofgem could take up to nine months to decide, with operations potentially starting next year.

Known for electric vehicles, Tesla also runs solar and battery storage divisions, with more than 250,000 EVs and tens of thousands of home batteries already sold in the UK. The company’s experience in Texas, where it rewards customers for feeding surplus power to the grid, could inform its UK plans.

The move comes as Tesla’s European car sales decline sharply, with July registrations falling almost 60% in the UK and over 55% in Germany. Increased competition from Chinese manufacturer BYD has added to the pressure.

Tesla has faced public criticism linked to Elon Musk’s political positions, yet the energy push signals a strategic shift towards broader utility services in its key markets.

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DeepSeek’s efficiency forces OpenAI to rethink closed AI model strategy

OpenAI has released reasoning-focused open-weight models in a strategic response to China’s surging AI ecosystem, led by DeepSeek’s disruptive efficiency. Unlike earlier coverage, the shift is framed not merely as competitive posturing but as a deeper recognition of shifting innovation philosophies.

DeepSeek’s rise stems from maximizing limited resources under the US’s export restrictions, proving that top-tier AI doesn’t require massive chip clusters. The agility has emboldened the open-source AI sector in China, where over 10 labs now rival those in the US, fundamentally reshaping competitive dynamics.

OpenAI’s ‘gpt-oss’ models, which reveal numerical parameters for customization, mark a departure from its traditional closed approach. Industry watchers see this as a hybrid play, retaining proprietary strengths while embracing openness to appeal to global developers.

The implications stretch beyond technology into geopolitics. US export controls may have inadvertently fueled Chinese AI innovation, with DeepSeek’s self-reliant architecture now serving as a proof point for resilience. DeepSeek’s achievement challenges the US’s historically resource-intensive approach to AI.

AI rivalry may spur collaboration or escalate competition. DeepSeek advances models like DeepSeek-MoE, while OpenAI strikes a balance between openness and monetization. Global AI dynamics shift, raising both technological and philosophical stakes.

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Google enhances Finance page with AI for real-time data

Google is testing a new AI-powered version of its Finance page, offering users advanced tools to explore stock market, financial, and cryptocurrency information.

The platform enables users to ask natural language questions about finance and receive detailed answers, accompanied by source links.

The new page features three main components: research, charting tools, and real-time data and news. Users can visualise financial data using technical charts such as moving averages and candlestick charts, and access live updates and news feeds related to financial markets and cryptocurrencies.

Google plans to roll out the AI-powered Finance page over the coming weeks via Google.com/finance, aiming to provide a more interactive and insightful experience for users interested in financial data and market trends.

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Nvidia and AMD to pay 15% share of China AI chip revenue to secure US export licences

Nvidia and Advanced Micro Devices have agreed to hand 15% of their Chinese AI chip sales revenue to the US government in return for export licences.

The arrangement, covering Nvidia’s H20 accelerator and AMD’s MI308 model, is considered unusual and could prove contentious for both companies and Beijing.

The deal reflects Washington’s willingness to link trade concessions to financial payments, but analysts note there is little precedent for such a targeted export levy.

Critics warn the move could undermine the national security rationale for export controls, making it harder to convince allies to adopt similar measures. Beijing, meanwhile, has voiced security concerns over the H20 chip’s performance and alleged vulnerabilities.

Industry observers suggest the payment requirement could discourage further expansion by US chipmakers in China, the world’s largest semiconductor importer, and give local producers an advantage in building domestic capacity.

Chinese firms such as Huawei are already increasing market share amid tighter restrictions on US technology.

The potential sums involved are significant. Before restrictions were imposed, Nvidia had generated over $7 billion in H20 sales to China in a single quarter. In comparison, AMD could earn up to $5 billion annually if full access to the market resumed.

However, uncertainties over demand and regulatory conditions remain.

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Dojo team disbanded amid AI strategy shift

Tesla has disbanded its Dojo supercomputer team, with team leader Peter Bannon departing amid a shift in AI strategy. Resources are being reallocated to other company data centres and computing projects.

The supercomputer was initially intended to process large volumes of vehicle data and video to train its autonomous‑driving systems. The team had recently lost around 20 members to the start‑up DensityAI.

Tesla plans to rely more on external partners for compute and chip supply. Strategic collaborations with Nvidia, AMD and Samsung Electronics are being pursued to bolster capacity.

The company focuses on integrating AI, including robotics and self‑driving technologies, across its business. A recent $16.5 billion agreement with Samsung aims to support services like robotaxi, humanoid robots and data‑centre operations.

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