Capacity development

UNESCO and CANIETI promote responsible AI adoption in Mexico

UNESCO and CANIETI, with Microsoft’s support, have launched the ‘Mexico Model’ to promote ethical and responsible AI use in Mexican companies. The initiative seeks to minimise risks throughout AI development while ensuring alignment with human rights, ethics, and sustainable development.

Paola Cicero of UNESCO Mexico emphasised the model’s importance for MSMEs, which form the backbone of the country’s economy. Recent research shows 49% of Mexican MSMEs plan to invest in AI within the next 12 to 18 months, yet only half have internal policies to govern its use.

The Mexico Model offers practical tools for technical and non-technical professionals to evaluate ethical and operational risks throughout the AI lifecycle. Over 150 tech professionals from Mexico City and Monterrey have participated in UNESCO’s training on responsible, locally tailored AI development.

Designed as a living methodology, the framework evolves with each training cycle, incorporating feedback and lessons learned. The initiative aims to strengthen Mexico’s digital ecosystem while fostering ethical, inclusive, and sustainable AI innovation.

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Blackwell stance on China exports holds as Washington weighs tech pace

AI export policy in Washington remains firm, with officials saying the most advanced Nvidia Blackwell chips will not be sold to China. A White House spokesperson confirmed the stance during a briefing. The position follows weeks of speculation about scaled-down variants.

Senior economic officials floated the possibility of a shift later, citing the rapid pace of chip development. If Blackwell quickly becomes superseded, future sales could be reconsidered. Any change would depend on achieving parity in technology, licensing, and national security assessments.

Nvidia’s chief executive signalled hope that parts for Blackwell family products could be supplied from China, while noting there are no current plans to do so. Company guidance emphasises both commercial and research applications. Analysts say licensing clarity will dictate data centre buildouts and training roadmaps.

Policy hawks argue that cutting-edge accelerators should remain in US allied markets to protect strategic advantages. Others counter that export channels can be reopened once hardware is no longer state-of-the-art. The debate now centres on timelines measured in product cycles.

Diplomatic calendars may influence further discussions, with potential leader-level meetings next year alongside major international gatherings. Officials portrayed the broader bilateral relationship as steadier. The industry will track any signals that link geopolitical dialogue to chip export regulations.

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AWS launches Fastnet, a subsea cable to strengthen transatlantic cloud and AI connectivity

Amazon Web Services has announced Fastnet, a high-capacity transatlantic subsea cable connecting Maryland and County Cork.

Set to be operational in 2028, Fastnet will expand AWS’s network resilience and deliver faster, more reliable cloud and AI services between the US and Europe.

The cable’s unique route provides critical redundancy, ensuring service continuity even when other cables face disruptions. Capable of transmitting over 320 terabits per second, Fastnet supports large-scale cloud computing and AI workloads while integrating directly into AWS’s global infrastructure.

The system’s design enables real-time data redirection and long-term scalability to meet the increasing demands of AI and edge computing.

Beyond connectivity, AWS is investing in community benefit funds for Maryland and County Cork, supporting local sustainability, education, and workforce development.

A project that reflects AWS’s wider strategy to reinforce critical digital infrastructure and strengthen global innovation in the cloud economy.

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Microsoft partners with Lambda in multibillion AI infrastructure deal

Lambda has announced a multibillion-euro agreement with Microsoft to expand AI infrastructure powered by tens of thousands of NVIDIA GPUs, marking one of the largest private cloud computing collaborations to date.

The multi-year deal aims to accelerate the deployment of AI supercomputers at scale, enhancing the capacity for enterprise and research applications across industries.

Under the partnership, Lambda will provide mission-critical cloud compute infrastructure using NVIDIA GB300 NVL72 systems.

A collaboration that builds on an eight-year relationship between the two companies and reflects growing global demand for high-performance computing driven by the rise of AI assistants and enterprise AI solutions.

Stephen Balaban, CEO of Lambda, said the project represents a major step in developing gigawatt-scale AI factories capable of serving billions of users. The company positions itself as a trusted large-scale partner for organisations building advanced AI models and systems.

Founded in 2012, Lambda designs supercomputing infrastructure for AI training and inference, aiming to make computing power as accessible as electricity and to advance what it calls the era of ‘superintelligence’.

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Cloudflare chief warns AI is redefining the internet’s business model

AI is inserting itself between companies and customers, Cloudflare CEO Matthew Prince warned in Toronto. More people ask chatbots before visiting sites, dulling brands’ impact. Even research teams lose revenue as investors lean on AI summaries.

Frontier models devour data, pushing firms to chase exclusive sources. Cloudflare lets publishers block unpaid crawlers to reclaim control and compensation. The bigger question, said Prince, is which business model will rule an AI-mediated internet.

Policy scrutiny focuses on platforms that blend search with AI collection. Prince urged governments to separate Google’s search access from AI crawling to level the field. Countries that enforce a split could attract publishers and researchers seeking predictable rules and payment.

Licensing deals with news outlets, Reddit, and others coexist with scraping disputes and copyright suits. Google says it follows robots.txt, yet testimony indicated AI Overviews can use content blocked by robots.txt for training. Vague norms risk eroding incentives to create high-quality online content.

A practical near-term playbook combines technical and regulatory steps. Publishers should meter or block AI crawlers that do not pay. Policymakers should require transparency, consent, and compensation for high-value datasets, guiding the shift to an AI-mediated web that still rewards creators.

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Qwen3-Max-Thinking hits perfect scores as Alibaba raises the bar on AI reasoning

Alibaba unveiled Qwen3-Max-Thinking, which scored 100 percent on AIME 2025 and HMMT, matching OpenAI’s top model on reasoning tests. It targets high-precision problem-solving across algebra, number theory, and probability. Researchers regard elite maths contests as strong proxies for reasoning.

Built on Qwen3-Max, a trillion-parameter flagship, the thinking variant emphasises step-by-step solutions. Alibaba says it matches or beats Claude Opus 4, DeepSeek V3.1, Grok 4, and GPT-5 Pro. Positioning stresses accuracy, traceability, and controllable latency.

Signal from a live trading trial added momentum. In a two-week crypto experiment, Qwen3-Max returned 22.3 percent on 10,000 US dollars. Competing systems underperformed, with DeepSeek at 4.9 percent and several US models booking losses.

Access is available via the Qwen web chatbot and Alibaba Cloud APIs. Early adopters can test tool use and stepwise reasoning on technical tasks. Enterprises are exploring finance, research, and operations cases requiring reliability and auditability.

Alibaba researchers say further tuning will broaden task coverage without diluting peak maths performance. Plans include multilingual reasoning, safety alignment, and robustness under distribution shift. Community benchmarks and contests will track progress.

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Microsoft deal signals pay-per-use path for AI access to People Inc. content

People Inc. has joined Microsoft’s publisher content marketplace in a pay-per-use deal that compensates media for AI access. Copilot will be the first buyer, while People Inc. continues to block most AI crawlers via Cloudflare to force paid licensing.

People Inc., formerly Dotdash Meredith, said Microsoft’s marketplace lets AI firms pay ‘à la carte’ for specific content. The agreement differs from its earlier OpenAI pact, which the company described as more ‘all-you-can-eat’, but the priority remains ‘respected and paid for’ use.

Executives disclosed a sharp fall in Google search referrals: from 54% of traffic two years ago to 24% last quarter, citing AI Overviews. Leadership argues that crawler identification and paid access should become the norm as AI sits between publishers and audiences.

Blocking non-paying bots has ‘brought almost everyone to the table’, People Inc. said, signalling more licences to come. Such an approach by Microsoft is framed as a model for compensating rights-holders while enabling AI tools to use high-quality, authorised material.

IAC reported People Inc. digital revenue up 9% to $269m, with performance marketing and licensing up 38% and 24% respectively. The publisher also acquired Feedfeed, expanding its food vertical reach while pursuing additional AI content partnerships.

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Microsoft invests $15 billion in AI growth across the UAE

Microsoft will invest $15.2 billion in the UAE by 2029 to expand AI infrastructure, develop talent, and build trust across the region. The investment encompasses a $1.5 billion stake in G42, significant AI and cloud data centre spending, and local operating costs to bolster the UAE’s digital economy.

The company is deploying advanced NVIDIA GPUs to power AI applications, including OpenAI models, Anthropic, and Microsoft’s own services. With 59.4 percent of the UAE population using generative AI, the country leads global per capita AI adoption.

Microsoft is also nurturing AI talent through initiatives like the Global Engineering Development Centre, AI for Good Lab, and skilling programmes for students, teachers, and government employees.

Trust is a core component of Microsoft’s strategy. The company, together with G42 and MBZUAI, founded the Responsible AI Future Foundation to promote ethical AI standards across the Middle East and the Global South.

An Intergovernmental Assurance Agreement with the US and UAE governments ensures compliance with cybersecurity, export controls, data protection, and responsible AI practices.

Through technology investment, talent development, and building international trust, Microsoft aims to strengthen the UAE’s position as a global AI hub while fostering long-term economic growth and collaboration between the UAE and the United States.

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EU invests €2.9 billion to drive net-zero industrial transformation

The European Commission has approved €2.9 billion in funding for 61 large-scale net-zero technology projects, marking one of the EU’s most significant investments in clean innovation to date.

Financed through revenues from the EU Emissions Trading System, the initiative aims to accelerate Europe’s path towards climate neutrality by 2050.

The selected projects cover 19 industrial sectors across 18 Member States and target areas such as renewable energy, energy storage, zero-emission mobility, and industrial carbon management.

Collectively, they are expected to cut more than 220 million tonnes of CO₂ over the next decade, reinforcing Europe’s global leadership in sustainable technologies instead of relying on imports.

Funded under the Innovation Fund, which draws on an estimated €40 billion in ETS revenues, the initiative highlights the EU’s industrial readiness for decarbonisation. The latest call attracted 359 applications requesting €21.7 billion in support, underscoring the rapid growth of the continent’s cleantech sector.

Commissioner Wopke Hoekstra described the announcement as proof that the EU is turning its climate ambitions into industrial reality, creating green jobs and strengthening economic resilience. The next round of Innovation Fund calls will open in December 2025.

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AI reveals gene defect driving Crohn’s disease

Scientists at UC San Diego used AI and molecular biology to show how a broken NOD2–girdin partnership causes chronic inflammation in Crohn’s disease. The study explains why some macrophages become inflammatory instead of restorative, leading to intestinal damage.

The study analysed thousands of macrophage genes, identifying 53 that separate inflammatory cells from healing ones. One key discovery revealed that NOD2 normally binds to girdin in non-inflammatory macrophages, keeping inflammation under control.

Mutations in NOD2, common in Crohn’s patients, disrupt this connection, tipping the immune system toward persistent gut inflammation.

Animal studies confirmed the findings. Mice lacking girdin developed severe intestinal inflammation, altered gut microbiomes, and in many cases, fatal sepsis.

The experiments showed that without the NOD2–girdin interaction, the gut’s immune balance collapses, highlighting the importance of this partnership for intestinal health.

By combining AI, genetic analysis, and animal models, the study opens new avenues for Crohn’s therapies. Researchers aim to restore the NOD2–girdin interaction to rebalance macrophages and ease chronic inflammation.

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