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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The World Happiness Report 2026 has identified a growing decline in well-being among young people, with increased social media use emerging as a key contributing factor. These findings suggest that digital habits are increasingly shaping life satisfaction, particularly across Western societies.
The report notes that younger age groups now report significantly lower happiness levels compared to previous decades.
In regions such as North America and Western Europe, the decline coincides with a sharp rise in time spent on social media platforms. Researchers highlight that heavy usage is associated with measurable reductions in well-being, especially among younger users.
Alongside these trends, the report continues to rank Finland as the happiest country globally, reflecting broader stability in Nordic nations. However, such stability contrasts with emerging concerns about mental health and social outcomes in more industrialised regions, where digital environments are playing an increasingly influential role.
While the report identifies risks including cyberbullying, depression and online exploitation, it does not advocate for complete restrictions. Instead, it emphasises the need for carefully designed regulatory approaches that balance protection with the potential benefits of digital connectivity.
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AI-generated deepfake abuse is emerging as a serious global threat, with women and girls disproportionately affected by non-consensual and harmful digital content. Advances in AI make it easy to create manipulated content that can spread across platforms within minutes and reach millions.
Data highlights the scale of the issue. The vast majority of deepfake content online consists of explicit material, overwhelmingly targeting women.
Accessible and often free tools have lowered the barrier to entry, enabling widespread misuse. At the same time, the ability to endlessly replicate and share such content makes removal nearly impossible once it is published.
Legal responses remain fragmented, with many pre-existing laws leaving gaps in addressing AI-generated deepfake abuse. Enforcement issues, such as cross-border challenges and limited digital forensics capabilities, make it unlikely that perpetrators will face consequences.
Pressure is mounting on governments and technology platforms to act. Calls for reform include clearer legislation, faster obligations to remove content, improved law enforcement capabilities, and stronger support systems for victims.
Without coordinated global action, deepfake abuse is set to expand alongside the technologies enabling it.
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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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Emmanuel Macron has called for stronger enforcement of the EU digital rules, urging Ursula von der Leyen to act against risks linked to foreign interference in elections. The request comes amid growing concern over attempts to influence democratic processes across Europe.
In a letter addressed to the Commission, Macron stressed the importance of safeguarding electoral integrity in a challenging geopolitical environment.
He wrote:
‘In a geopolitical context marked by a multiplication of hostile stances against the European model and its democratic values, it is crucial that the Union… ensure the integrity of civic discourse and electoral processes’.
The proposal focuses on stricter enforcement instead of new legislation, particularly regarding the Digital Services Act. European authorities are encouraged to ensure that online platforms properly assess and mitigate systemic risks, including the spread of manipulated content and coordinated disinformation.
Attention is also directed toward algorithmic amplification, AI-generated content labelling and the removal of fake accounts.
As multiple elections approach across the EU, policymakers are considering how to apply existing regulatory tools more effectively to protect democratic systems.
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A new wave of AI development is increasingly relying on real-world human behaviour, with DoorDash moving to tap its gig workforce to generate training data for robotics systems.
DoorDash has launched a standalone app called Tasks, allowing couriers to earn money by recording themselves performing everyday activities such as folding clothes, washing dishes or making a bed. The collected data is used to train AI and robotics models to understand physical environments and human interactions better.
The move reflects a broader shift in AI training, where companies are seeking physical, real-world data rather than relying solely on text and images. Such data is essential for building systems capable of performing tasks in dynamic environments, including humanoid robots and autonomous machines.
Other companies are pursuing similar strategies. Uber and Instawork have tested gig-based data-collection models, while robotics startups are using wearable devices, such as gloves and head-mounted cameras, to capture detailed motion data for training.
The Tasks app is currently being rolled out as a pilot, with DoorDash planning to expand the types of available assignments over time. Some tasks may also be integrated into the main Dasher app, including activities that support navigation or assist autonomous delivery systems.
As competition intensifies, access to large-scale physical data is becoming a critical advantage. DoorDash’s approach highlights how gig-economy platforms are increasingly integrated into the development of next-generation AI systems.
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Interoperability tests for the European Digital Identity Wallet have marked a significant step towards deployment, following a major industry-wide exercise. Systems were tested under real conditions to ensure compatibility across providers.
The initiative forms part of the EU’s plan to provide citizens with a secure digital wallet for identification and online services. The system will allow users to store identity data and access services, including electronic signatures.
Results showed that most test scenarios were successfully completed, confirming that independent systems can work together effectively. The exercise also highlighted areas requiring further refinement ahead of wider implementation.
EU officials and industry leaders said the progress supports the development of a unified digital ecosystem. The wallet is expected to simplify everyday services while strengthening security and trust in digital identity solutions.
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Meta recently confirmed that an AI agent inadvertently exposed sensitive company and user data to some employees. The leak happened when an engineer followed the AI agent’s forum suggestion, exposing data for about two hours.
Meta stated that no user data was mishandled and emphasised that human errors could cause similar issues.
The incident reflects broader challenges in deploying agentic AI tools within major tech companies. Amazon faced similar issues, with internal AI tools causing outages and operational errors, showing risks of quickly integrating AI into critical workflows.
Experts describe these deployments as experimental, with companies testing AI at scale without fully assessing potential risks.
Security specialists note that AI agents lack the contextual awareness that human engineers accumulate over years of experience. Lacking long-term operational knowledge, AI can make decisions that compromise security, a factor in the Meta breach.
Analysts warn that such errors are likely to recur as AI adoption accelerates.
The episode comes amid growing attention on agentic AI’s potential to disrupt workflows, affect productivity, and introduce new vulnerabilities. Industry observers caution that AI tools must be carefully monitored and accompanied by robust safeguards to prevent future incidents.
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Visa has launched Agentic Ready, a global programme preparing the payments ecosystem for AI agents to initiate transactions for consumers. The programme builds on Visa Intelligent Commerce, the company’s framework for secure, AI-driven payment experiences.
The first phase, launching in Europe, including the UK, focuses on issuer readiness. Participating banks and financial institutions can test and validate agent-initiated transactions in controlled production environments, ensuring they remain secure, reliable, and scalable.
Visa’s trust layer integrates tokenisation, identity verification, risk controls, and biometric authentication to maintain consumer consent and protection throughout transactions.
Controlled testing with selected merchants allows issuers to gain practical experience of agentic commerce in real-world settings. Early participants, including Barclays, HSBC UK, Revolut, and Banco Santander, help Visa test and refine safe AI-driven payments across channels.
The programme advances Visa’s vision of AI-driven commerce, enabling flexible payments while keeping consumers in control. Expansion beyond Europe is planned, leveraging lessons from the initial rollout to accelerate agentic commerce globally.
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