The Trump Administration unveiled a national AI framework to boost competitiveness, security, and benefits for Americans. The plan seeks to ensure that AI innovation supports all citizens while maintaining public trust in the technology.
Six key objectives form the foundation of the policy. These include protecting children online, empowering parents with tools to manage digital safety, strengthening communities and small businesses, respecting intellectual property, defending free speech, and fostering innovation.
The framework also prioritises workforce development to prepare Americans for AI-driven job opportunities.
Federal uniformity is considered critical to the plan’s success. The Administration warns that a patchwork of state regulations could stifle innovation and reduce the United States’ ability to lead globally.
Congress is encouraged to collaborate closely to implement the framework nationwide.
The Administration emphasises that the United States must lead the AI race, ensuring the benefits of AI reach all Americans while addressing challenges such as privacy, security, and equitable access to opportunities.
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Elon Musk unveiled his ambitious Terafab project in Austin, describing it as the ‘most epic chip-building exercise in history.’ The initiative, led by Tesla, xAI, and SpaceX, aims to produce 1 trillion watts of compute power annually, much of it intended for space applications.
The project will start with a state-of-the-art semiconductor manufacturing facility in Austin, supporting AI development, humanoid robotics, and space data centres. Musk highlighted current supply chain limitations, stating that building Terafab is essential to secure the chips his companies need.
Musk also shared his vision for a future shaped by ‘amazing abundance.’ Plans include launching satellites from the lunar surface and enabling civilian space travel to destinations such as Saturn, blending cutting-edge technology with long-term space ambitions.
Terafab represents a bold attempt to merge AI, robotics, and space exploration, positioning Musk’s companies at the forefront of next-generation technology and extraterrestrial innovation.
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Brazil has postponed discussions on its upcoming cryptocurrency tax framework until after the October 2026 presidential elections, signalling a cautious political approach to digital asset regulation.
Finance officials aim to avoid introducing contentious fiscal measures during an election cycle, despite earlier plans to launch a public consultation later this year.
Recent tax reforms have already marked a significant shift in Brazil’s crypto policy. A flat 17.5% tax on capital gains was introduced in June 2025, replacing earlier exemptions for smaller transactions.
Previous rules allowed tax-free monthly sales up to 35,000 Brazilian real, while higher volumes were subject to progressive rates. Banco Central do Brasil classified stablecoin transfers as foreign exchange, making them subject to standard currency tax rules.
Authorities are considering broader crypto taxes, including on assets used for international payments. Alignment with the Crypto-Asset Reporting Framework also remains on the agenda, indicating a move towards tighter oversight and global regulatory coordination.
Strong adoption highlights the policy’s importance, with Brazil leading Latin America and ranking among the world’s top crypto markets. Regional data shows a surge in adoption, strengthening Brazil’s role in the global digital asset market.
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Members of the European Parliament are calling for more rapid progress in implementing the bloc’s digital competition framework, with particular focus on the Digital Markets Act.
In a recent resolution, lawmakers urged the European Commission to ensure timely and effective enforcement of the rules designed to regulate large online platforms. The legislation aims to address concerns around market dominance and promote fair competition across the digital economy.
The discussions reflect ongoing concerns that delays in enforcement could undermine the framework’s effectiveness, particularly as major technology companies continue to expand their influence. Platforms such as Google, Apple and Meta are among those expected to comply with the new obligations.
At the same time, policymakers are balancing regulatory oversight with the need to maintain innovation and competitiveness. The debate forms part of a broader effort in the EU to strengthen digital governance and reinforce the region’s position in global technology markets.
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Telefónica Tech has partnered with three European firms to bring AI and quantum computing closer together. The collaboration aims to improve how advanced models are developed and deployed across different environments.
The initiative brings together Qilimanjaro Quantum Tech, Multiverse Computing and Qcentroid. Their combined expertise is expected to support more efficient, compact and locally deployable AI systems.
Quantum computing is seen as a way to reduce the heavy processing demands of large AI models. Faster computation could yield more accurate results while reducing the time required to solve complex problems.
Each partner contributes specialised capabilities, from quantum hardware and algorithms to software platforms and orchestration tools. These technologies could support applications such as simulations, edge AI and rapid prototyping.
Telefónica Tech is also strengthening its role in integrating AI and quantum solutions for enterprise clients. The move reflects a broader push to build scalable, sovereign and next-generation digital infrastructure in Europe.
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A University of Essex robotics project designed to automate crop harvesting has won the Best Research Project (Industry Collaboration) award at the 2026 UKRI AI & Robotics Research Awards.
The Sustainable smArt Robotic Agriculture (SARA) project was developed in collaboration with industry partners Wilkin and Sons, JEPCO, and GyroPlant, and addresses three interconnected challenges: food security, labour shortages, and sustainability.
Central to the project is the development of low-cost AgriRobotics systems capable of adapting to different crops, tasks, and growing environments, automating repetitive, labour-intensive farm work whilst reducing wastage, carbon footprint, and dependence on increasingly scarce agricultural labour.
The team delivered a live strawberry-harvesting demonstration at the Innovate UK Robotics Industry Showcase in March, an event aligned with UKRI’s announcement of a £52 million competition for Robotics Adoption Hubs.
Building on the project’s success, lead researchers Professor Klaus McDonald-Maier and Dr Vishwanathan Mohan have launched a spinout company, Versatile RobotX, to accelerate the commercialisation of the technology and extend its global impact.
The SARA project previously won the Best Demonstration category at the same awards in 2025.
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A large-scale fraud scheme using AI-generated music has exposed vulnerabilities in streaming platforms and royalty systems. Billions of fake streams were used to divert payments away from legitimate artists and rights holders.
The scheme ran from 2017 to 2024 and involved uploading hundreds of thousands of AI-generated tracks. Automated programs were then used to stream the songs at scale, inflating play counts and generating revenue.
The operation relied on thousands of bot accounts, bulk email registrations and cloud-based systems. Streaming activity was spread across many tracks to reduce detection and maintain consistent earnings over time.
Michael Smith, a 54-year-old from North Carolina, has pleaded guilty to conspiracy to commit wire fraud in federal court. Prosecutors say he obtained more than $10 million and agreed to forfeit over $8 million in proceeds.
Authorities say the case highlights how AI and automation can be used to manipulate digital platforms. The court will determine the final sentence as concerns grow over similar schemes.
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Inspired Education has unveiled a new AI-enabled primary teaching model designed to modernise traditional learning systems. The programme aims to better align education with how children learn in a digital and fast-changing environment.
The model combines core academic subjects in the morning with applied learning in the afternoon. Students focus on life skills such as problem-solving, entrepreneurship and communication alongside standard curriculum content.
Learning is structured around mastery rather than age, allowing children to progress at their own pace. AI-powered tools are used to personalise lessons and support faster and more adaptive learning outcomes.
Developers say the approach responds to growing demand from parents for AI-integrated education. The initiative reflects broader efforts to prepare students with digital, practical and future-ready skills.
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A growing number of individuals worldwide are participating in a new digital economy built around supplying data for AI systems.
Through platforms such as Kled AI and Silencio, users upload videos, audio recordings and personal interactions in exchange for payment, contributing to the development of increasingly sophisticated AI models.
Such a trend reflects a broader shift in the AI industry, where demand for high-quality human-generated data is rising as traditional web-based sources become more limited.
Researchers suggest that human data remains essential for improving system performance and modelling behaviour beyond existing datasets. As a result, data marketplaces have emerged as an alternative supply mechanism.
Economic considerations often shape participation. In regions facing limited employment opportunities or currency instability, earning income in global currencies can provide a meaningful financial incentive.
At the same time, similar practices are expanding in higher-income countries, where individuals seek supplementary income streams amid rising living costs.
However, the model introduces complex trade-offs.
Contributors may grant extensive usage rights over their data, sometimes on a long-term or irreversible basis. Experts note that such arrangements can reduce control over how personal information is reused, including in contexts not initially anticipated.
Concerns also extend to issues such as data security, transparency and the potential for misuse in areas including synthetic media and identity replication.
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OpenAI will begin rolling out ChatGPT ads to Free and Go users in the United States in the coming weeks, marking a significant shift in how the company monetises its flagship AI product.
The ads will be shown to logged-in adult users on lower-tier plans, while paid subscriptions, including Plus, Pro, Business, Enterprise, and Education, will remain ad-free. The rollout in the US positions ChatGPT ads as a tiered feature, separating premium experiences from ad-supported access.
To support the initiative, OpenAI has integrated advertising technology firm Criteo into its pilot programme, enabling ad buying and more targeted placements. Advertisers are reportedly being offered entry commitments ranging from $50,000 to $100,000, reflecting early efforts to build a structured advertising marketplace.
The company has also launched a dedicated advertiser page that presents ChatGPT as a platform for reaching users during active research and decision-making. ChatGPT ads are being framed as part of conversational discovery, with OpenAI advising brands to provide multiple variations of creative content to improve performance.
The rollout comes as OpenAI seeks to diversify revenue amid rising compute costs and intensifying competition. Alongside subscriptions and API services, ChatGPT ads are expected to play an increasingly important role in supporting the platform’s long-term business model.
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