Development Archives | Page 198 of 539 | Digital Watch Observatory

Public consultation flaws risk undermining Digital Fairness Act debate

As the European Commission’s public consultation on the Digital Fairness Act enters its final phase, growing criticism points to flaws in how citizen feedback is collected.

Critics say the survey’s structure favours those who support additional regulation while restricting opportunities for dissenting voices to explain their reasoning. The issue raises concerns over how such results may influence the forthcoming impact assessment.

The Call for Evidence and Public Consultation, hosted on the Have Your Say portal, allows only supporters of the Commission’s initiative to provide detailed responses. Those who oppose new regulation are reportedly limited to choosing a single option with no open field for justification.

Such an approach risks producing a partial view of European opinion rather than a balanced reflection of stakeholders’ perspectives.

Experts argue that this design contradicts the EU’s Better Regulation principles, which emphasise inclusivity and objectivity.

They urge the Commission to raise its methodological standards, ensuring surveys are neutral, questions are not loaded, and all respondents can present argument-based reasoning. Without these safeguards, consultations may become instruments of validation instead of genuine democratic participation.

Advocates for reform believe the Commission’s influence could set a positive precedent for the entire policy ecosystem. By promoting fairer consultation practices, the EU could encourage both public and private bodies to engage more transparently with Europe’s diverse digital community.

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Wikipedia faces traffic decline as AI and social video reshape online search

Wikipedia’s human traffic has fallen by 8% over the past year, a decline the Wikimedia Foundation attributes to changing information habits driven by AI and social media.

The foundation’s Marshall Miller explained that updates to Wikipedia’s bot detection system revealed much of the earlier traffic surge came from undetected bots, revealing a sharper drop in genuine visits.

Miller pointed to the growing use of AI-generated search summaries and the rise of short-form video as key factors. Search engines now provide direct answers using generative AI instead of linking to external sources, while younger users increasingly turn to social video platforms rather than traditional websites.

Although Wikipedia’s knowledge continues to feed AI models, fewer people are reaching the original source.

The foundation warns that the shift poses risks to Wikipedia’s volunteer-driven ecosystem and donation-based model. With fewer visitors, fewer contributors may update content and fewer donors may provide financial support.

Miller urged AI companies and search engines to direct users back to the encyclopedia, ensuring both transparency and sustainability.

Wikipedia is responding by developing a new framework for content attribution and expanding efforts to reach new readers. The foundation also encourages users to support human-curated knowledge by citing original sources and recognising the people behind the information that powers AI systems.

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Australian students get 12 months of Google Gemini Pro at no cost

Google has launched a free twelve-month Gemini Pro plan for students in Australia aged eighteen and over, aiming to make AI-powered learning more accessible.

The offer includes the company’s most advanced tools and features designed to enhance study efficiency and critical thinking.

A key addition is Guided Learning mode, which acts as a personal AI coach. Instead of quick answers, it walks students through complex subjects step by step, encouraging a deeper understanding of concepts.

Gemini now also integrates diagrams, images and YouTube videos into responses to make lessons more visual and engaging.

Students can create flashcards, quizzes and study guides automatically from their own materials, helping them prepare for exams more effectively. The Gemini Pro account upgrade provides access to Gemini 2.5 Pro, Deep Research, NotebookLM, Veo 3 for short video creation, and Jules, an AI coding assistant.

With two terabytes of storage and the full suite of Google’s AI tools, the Gemini app aims to support Australian students in their studies and skill development throughout the academic year.

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Meta champions open hardware to power the next generation of AI data centres

The US tech giant, Meta, believes open hardware will define the future of AI data centre infrastructure. Speaking at the Open Compute Project Global Summit, the company outlined a series of innovations designed to make large-scale AI systems more efficient, sustainable, and collaborative.

Meta, one of the OCP’s founding members, said open source hardware remains essential to scaling the physical infrastructure required for the next generation of AI.

During the summit, Meta joined industry peers in supporting OCP’s Open Data Center Initiative, which calls for shared standards in power, cooling, and mechanical design.

The company also unveiled a new generation of network fabrics for AI training clusters, integrating NVIDIA’s Spectrum Ethernet to enable greater flexibility and performance.

As part of the effort, Meta became an initiating member of Ethernet for Scale-Up Networking, aiming to strengthen connectivity across increasingly complex AI systems.

Meta further introduced the Open Rack Wide (ORW) form factor, an open source data rack standard optimised for the power and cooling demands of modern AI.

Built on ORW specifications, AMD’s new Helios rack was presented as the most advanced AI rack yet, embodying the shift toward interoperable and standardised infrastructure.

Meta also showcased new AI hardware platforms built to improve performance and serviceability for large-scale generative AI workloads.

Sustainability remains central to Meta’s strategy. The company presented ‘Design for Sustainability’, a framework to reduce hardware emissions through modularity, reuse, and extended lifecycles.

It also shared how its Llama AI models help track emissions across millions of components. Meta said it will continue to

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NVIDIA and TSMC celebrate first US-made Blackwell AI chip

A collaboration between NVIDIA and TSMC has marked a historic milestone with the first NVIDIA Blackwell wafer produced on US soil.

The event, held at TSMC’s facility in Phoenix, symbolised the start of volume production for the Blackwell architecture and a major step toward domestic AI chip manufacturing.

NVIDIA’s CEO Jensen Huang described it as a moment that brings advanced technology and industrial strength back to the US.

A partnership that highlights how the companies aim to strengthen the US’s semiconductor supply chain by producing the world’s most advanced chips domestically.

TSMC Arizona will manufacture next-generation two-, three- and four-nanometre technologies, crucial for AI, telecommunications, and high-performance computing. The process transforms raw wafers through layering, etching, and patterning into the high-speed processors driving the AI revolution.

TSMC executives praised the achievement as the result of decades of partnership with NVIDIA, built on innovation and technical excellence.

Both companies believe that local chip production will help meet the rising global demand for AI infrastructure while securing the US’s strategic position in advanced technology manufacturing.

NVI D IA also plans to use its AI, robotics, and digital twin platforms to design and manage future American facilities, deepening its commitment to domestic production.

The companies say their shared investment signals a long-term vision of sustainable innovation, industrial resilience, and technological leadership for the AI era.

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AWS glitch triggers widespread outages across major apps

A major internet outage hit some of the world’s biggest apps and sites from about 9 a.m. CET Monday, with issues traced to Amazon Web Services. Tracking sites reported widespread failures across the US and beyond, disrupting consumer and enterprise services.

AWS cited ‘significant error rates’ in DynamoDB requests in the U S-EAST-1 region, impacting additional services in Northern Virginia. Engineers are mitigating while investigating root cause, and some customers couldn’t create or update Support Cases.

Outages clustered around Virginia’s dense data-centre corridor but rippled globally. Impacted brands included Amazon, Google, Snapchat, Roblox, Fortnite, Canva, Coinbase, Slack, Signal, Vodafone and the UK tax authority HMRC.

Coinbase told users ‘all funds are safe’ as platforms struggled to authenticate, fetch data and serve content tied to affected back-ends. Third-party monitors noted elevated failure rates across APIs and app logins.

The incident underscores heavy reliance on hyperscale infrastructure and the blast radius when core data services falter. Full restoration and a formal post-mortem are pending from AWS.

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Data labelling transforms rural economies in Tamil Nadu

India’s small towns are fast becoming global hubs for AI training and data labelling, as outsourcing firms move operations beyond major cities like Bangalore and Chennai. Lower costs and improved connectivity have driven a trend known as cloud farming, which has transformed rural employment.

In Tamil Nadu, workers annotate and train AI models for global clients, preparing data that helps machines recognise objects, text and speech. Firms like Desicrew pioneered this approach by offering digital careers close to home, reducing migration to cities while maintaining high technical standards.

Desicrew’s chief executive, Mannivannan J K, says about a third of the company’s projects already involve AI, a figure expected to reach nearly all within two years. Much of the work focuses on transcription, building multilingual datasets that teach machines to interpret diverse human voices and dialects.

Analysts argue that cloud farming could make rural India the world’s largest AI operations base, much as it once dominated IT outsourcing. Yet challenges remain around internet reliability, data security and client confidence.

For workers like Dhanalakshmi Vijay, who fine-tunes models by correcting their errors, the impact feels tangible. Her adjustments, she says, help AI systems perform better in real-world applications, improving everything from shopping recommendations to translation tools.

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AI system could help reduce childhood obesity risk

Researchers at Penn State have developed an AI model that measures children’s bite rate during meals, aiming to address a key risk factor for obesity. Eating quickly hinders fullness signals and, combined with larger bites, increases the risk of obesity.

The AI system, named ByteTrack, was trained using over 1,400 minutes of video from a study of 94 children aged seven to nine. It recognises children’s faces with 97% accuracy and detects bites about 70% as successfully as humans.

Although the system requires further refinement, the pilot study shows promise for large-scale research and potential real-world applications. With further training, ByteTrack could become a smartphone app alerting children when they eat too quickly to encourage healthier habits.

The research was funded by the National Institute of Diabetes and Digestive and Kidney Diseases, the National Institute of General Medical Sciences, and Penn State’s computational and clinical research institutes.

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AI and fusion combine to accelerate clean energy breakthroughs

A new research partnership between Google and Commonwealth Fusion Systems (CFS) aims to accelerate the development of clean, abundant fusion energy. Fusion powers the sun and offers limitless, clean energy, but achieving it on Earth requires stabilising plasma at over 100 million degrees Celsius.

The collaboration builds on prior AI research in controlling plasma using deep reinforcement learning. Google and CFS are combining AI with the SPARC tokamak, using superconducting magnets to achieve net energy gain from fusion.

AI tools such as TORAX, a fast and differentiable plasma simulator, allow millions of virtual experiments to optimise plasma behaviour before SPARC begins operations.

AI is also being applied to find the most efficient operating paths for the tokamak, including optimising magnetic coils, fuel injection, and heat management.

Reinforcement learning agents can optimise energy output in real time while safeguarding the machine, potentially exceeding human-designed methods.

The partnership combines advanced AI with fusion hardware to develop intelligent, adaptive control systems for future clean and sustainable fusion power plants.

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Labels and Spotify align on artist-first AI safeguards

Spotify partners with major labels on artist-first AI tools, putting consent and copyright at the centre of product design. The plan aims to align new features with transparent labelling and fair compensation while addressing concerns about generative music flooding platforms.

The collaboration with Sony, Universal, Warner, and Merlin will give artists control over participation in AI experiences and how their catalogues are used. Spotify says it will prioritise consent, clearer attribution, and rights management as it builds new tools.

Early direction points to expanded labelling via DDEX, stricter controls against mass AI uploads, and protections against search and recommendation manipulation. Spotify’s AI DJ and prompt-based playlists hint at how engagement features could evolve without sidelining creators.

Future products are expected to let artists opt in, monitor usage, and manage when their music feeds AI-generated works. Rights holders and distributors would gain better tracking and payment flows as transparency improves across the ecosystem.

Industry observers say the tie-up could set a benchmark for responsible AI in music if enforcement matches ambition. By moving in step with labels, Spotify is pitching a path where innovation and artist advocacy reinforce rather than undermine each other.

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