New benchmark tests AI on unpublished mathematics problems

AI systems have demonstrated growing capabilities in advanced mathematics, according to benchmark results published by the non-profit organisation First Proof.

The organisation evaluated four frontier AI systems, including ChatGPT 5.5 Pro, against ten unpublished research-level mathematical problems contributed by leading mathematicians.

The benchmark found that seven of the ten problems received at least one solution judged to be correct by expert reviewers across the participating systems. One notable result involved a stochastic partial differential equations problem, where an AI system produced a correct solution using an approach different from the human-developed proof, drawing praise from expert referees for its originality.

Despite the progress, significant limitations remain.

Several problems remained unsolved, including a metric geometry challenge on which none of the systems made meaningful progress. Reviewers also reported that AI systems handled routine mathematical reasoning effectively but continued to struggle with the most challenging conceptual and creative aspects of proof construction.

Why does it matter?

The benchmark offers one of the most demanding independent tests of AI performance in advanced mathematics, a field often viewed as a proxy for higher-level reasoning and scientific problem-solving. The results suggest that frontier AI systems are increasingly capable of contributing to specialised research tasks and, in some cases, generating approaches that differ from those developed by human experts.

At the same time, the findings highlight the limits of current AI systems. While they can assist with complex reasoning and formal problem-solving, they continue to struggle with the deepest conceptual challenges that often drive mathematical breakthroughs. This suggests that AI may increasingly serve as a research assistant and discovery tool, while human expertise remains essential for guiding and validating scientific advances.

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INTERPOL report warns of rising cybercrime across Asia-Pacific

INTERPOL has published its 2025/2026 Asia and South Pacific Cyberthreat Assessment Report, covering the period from January 2024 to March 2025. The report documents a rise in cybercrime across the region, attributing the trend to expanding digital infrastructure, the adoption of new technologies and increasingly organised criminal networks.

More than half of the countries surveyed reported that cybercrime accounts for over 30% of all crimes recorded nationally. Phishing and related online scam techniques were identified as the most common and financially damaging forms of cybercrime, with 33 % of surveyed countries recorded over 10,000 such cases.

Neal Jetton, INTERPOL’s Cybercrime Director, said the findings demonstrate how cybercriminals are increasingly exploiting AI, ransomware-as-a-service models and sophisticated social engineering techniques. He noted that operational cooperation, information sharing, and cyber resilience are factors relevant to protecting communities and infrastructure as digital adoption in the region increases.

Growth in internet connectivity, mobile banking, cloud computing, and digital financial services has accompanied this cybercriminal activity, according to the report.

Survey respondents also highlighted challenges for law enforcement, including gaps in specialised forensic tools, cybercrime training and technical capacity. The report also notes differences in cybersecurity capacity across countries.

Some countries have established cybersecurity frameworks and institutional capabilities, while others, including developing countries and small island states, reported resource and capacity constraints.

The report identifies jurisdictions with fragmented enforcement structures, limited technical capabilities, and weaker legislation as more exposed to exploitation by cybercriminal actors.

The report was prepared through the Asia and South Pacific Joint Operations against Cybercrime (ASPJOC) project, funded by the United Kingdom’s Foreign, Commonwealth & Development Office (FCDO). It draws on information submitted by 18 INTERPOL member countries in the Asia and South Pacific region, along with contributions from private sector partners, operational case studies, and analysis of emerging cyber threat trends.

It is one of several regional cyber threat assessments produced by INTERPOL, alongside similar reports covering regions such as Africa. The full report is available from INTERPOL.

Why does this matter?

The report highlights how cybercrime is becoming a major security, economic and governance challenge across Asia and the South Pacific. As countries expand digital infrastructure, online banking, cloud services and digital government initiatives, cybercriminals are finding new opportunities to exploit vulnerabilities and target individuals, businesses and critical sectors.

The findings also illustrate the growing role of AI in cyberspace. While organisations increasingly use AI to strengthen cybersecurity, threat actors are adopting the same technologies to enhance phishing campaigns, generate deepfakes and automate attacks. This accelerating technological competition underscores the importance of international cooperation, cyber capacity-building and information sharing to strengthen resilience across the region.

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ChatGPT set to join Pentagon’s GenAI.mil platform

Mohammed Husain, OpenAI’s Strategic Delivery Lead for Cyber, said at the Defense One Tech Summit in Virginia that the company expects to launch ChatGPT on GenAI.mil, the US Department of Defense’s enterprise-wide generative AI platform, in early July. The deployment would extend ChatGPT access to more than 3 million defence, civilian, and military personnel.

According to Husain, the version of ChatGPT deployed on GenAI.mil will be certified to handle Controlled Unclassified Information (CUI) and operate at Impact Level 5 (IL5), a Defense Department cloud security classification for systems processing sensitive unclassified information. Husain said OpenAI continues to coordinate with the Pentagon’s Chief Digital and Artificial Intelligence Office (CDAO) on the rollout.

The Department of Defense launched GenAI.mil in December 2025, initially centred on Gemini for Government, before announcing plans to integrate models from OpenAI and xAI. Outside GenAI.mil, federal agencies have had access to ChatGPT since at least January 2025 through ChatGPT Gov.

In August 2025, OpenAI and the General Services Administration reached a OneGov agreement that reduced the price of ChatGPT access for federal agencies. Most recently, OpenAI’s GPT-5.4 model became available to federal government users on Amazon Bedrock and AWS GovCloud earlier this month.

Husain said that as the Department of Defense adopts more capable models, token consumption, the units used by AI systems to process and generate information, is likely to increase, particularly for higher-value tasks.

He pointed to Amazon’s early June announcement that OpenAI’s GPT-5.5, GPT-5.4, and Codex models are now available on Amazon Bedrock as an example of broader access to more capable, token-intensive models.

Husain said token efficiency, measured by the cost of completing tasks rather than raw processing speed, is expected to become an increasingly important consideration in government AI deployments as model capabilities advance.

Why does this matter?

The planned rollout highlights how frontier AI models are moving from experimental deployments into core government and defence infrastructure. Rather than relying on a single provider, the Pentagon is building an ecosystem that includes models from OpenAI, Google and xAI, reflecting a broader strategy of integrating commercial AI capabilities into operational environments.

The development also illustrates the growing institutionalisation of relationships between leading AI companies and national security organisations. As advanced AI systems become embedded in government workflows, questions around security, procurement, oversight, interoperability, and strategic dependence on private-sector AI providers are likely to become increasingly important.

The deployment of ChatGPT on GenAI.mil, therefore, represents not only a technology upgrade but also a step in the evolving governance of AI within national security institutions.

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UNESCO-backed initiative promotes AI skills and workforce innovation in East Africa

Nearly 1,000 students from across East Africa participated in the AI4EAC Innovation Challenge, a regional initiative designed to strengthen AI skills while encouraging practical solutions to local challenges.

Supported by UNESCO Campus Africa and several regional and international partners, the programme brought together students from 57 universities across East Africa.

One of the programme’s central themes was employment and workforce development through the Skills2Job Challenge. Participants were tasked with developing AI systems capable of identifying suitable occupations based on an individual’s skills profile.

Using data from UNESCO’s Global Skills Tracker, students developed machine-learning models aimed at improving career guidance, workforce mobility and skills-based hiring.

The winning projects explored different approaches to matching skills with labour market opportunities. Several participants argued that labour markets across Africa continue to place significant emphasis on formal qualifications, often overlooking transferable skills that could support employment across multiple sectors and industries.

UNESCO said the initiative demonstrates growing demand for AI skills across the region while highlighting the ability of young innovators to develop solutions tailored to local economic and social challenges.

The programme forms part of wider efforts to strengthen links between higher education, innovation ecosystems and employment opportunities throughout Africa.

Why does it matter?

The initiative highlights how AI can be applied to address practical development challenges, including the gap between education outcomes and labour market needs. By focusing on skills-based matching rather than formal qualifications alone, AI tools could help improve workforce mobility, career guidance and access to employment opportunities.

The programme also reflects the growing importance of AI capacity development across Africa. As governments, universities and businesses invest in digital transformation, building local AI talent and innovation ecosystems will be essential for ensuring that AI solutions are developed in ways that reflect regional priorities, economic realities and social needs.

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South Korea and Saudi Arabia expand cooperation on AI and digital transformation

South Korea and Saudi Arabia have agreed to strengthen cooperation in AI and digital transformation as part of a broader partnership spanning energy, advanced industries and critical mineral supply chains.

The agreement was signed in Riyadh by South Korean Minister of Trade, Industry and Energy Kim Jung-Kwan and Saudi Energy Minister Prince Abdulaziz bin Salman.

While the memorandum includes cooperation in oil and gas, a key focus is the use of AI and digital technologies to modernise energy infrastructure, improve resource management and enhance operational efficiency.

The two countries also agreed to expand collaboration in advanced technology sectors, including AI, digital innovation and emerging industrial technologies. The partnership aims to combine Saudi Arabia’s resource base with South Korea’s industrial and technological capabilities to support future economic growth and industrial development.

Officials described the agreement as an important step towards deeper cooperation in emerging technologies, with AI expected to play an increasingly important role in energy innovation, supply-chain resilience and industrial transformation.

Why does it matter?

The agreement highlights how AI is becoming an increasingly important component of industrial and energy policy. Governments are no longer viewing AI solely as a digital technology sector, but as a tool for improving efficiency, resilience and competitiveness across strategic industries such as energy, manufacturing and resource management.

The partnership also reflects a broader trend of linking technological cooperation with economic diversification and supply-chain security. By combining Saudi Arabia’s resource strengths with South Korea’s technological and industrial expertise, the two countries are seeking to position themselves more strongly within the evolving global landscape of AI-driven industrial development.

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UK deepens AI adoption in healthcare with new NHS funding

According to UKAuthority, the UK government is investing nearly £30 million to expand the use of AI-powered diagnostic technologies across England’s National Health Service (NHS). The funding aims to accelerate diagnoses and improve patient care for millions of people.

Under the programme, £20 million will be allocated to deploy AI-powered chest X-ray tools across every NHS trust in England by 2029. The technology is already used by around half of NHS trusts and has supported more than four million patients through faster lung cancer diagnosis or clearance.

A further £8.1 million from the National Institute for Health and Care Research (NIHR) will support trials of six AI and digital technologies across 13 NHS sites. The technologies will assess scans and cardiac tests, prioritise urgent cases and provide digital therapies for a range of health conditions.

The investment forms part of the AI Diagnostic Fund under the Prime Minister’s AI Exemplars programme. Healthcare organisations and charities welcomed the initiative while noting that successful implementation will also depend on workforce capacity, digital infrastruture and operational readiness across the NHS.

Why does it matter?

The investment reflects the growing role of AI in healthcare, particularly in diagnostic imaging and clinical decision support. By helping clinicians identify urgent cases more quickly and process growing volumes of medical data, AI tools have the potential to improve efficiency and reduce delays in patient care.

The initiative also highlights a broader challenge facing health systems: scaling AI successfully requires more than access to technology. Workforce skills, digital infrastructure, clinical integration and governance frameworks will play a key role in determining whether AI delivers measurable improvements in healthcare outcomes.

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South Korea launches AI-RAN project for 6G networks

The Electronics and Telecommunications Research Institute (ETRI) has launched the AI-RAN Global Flagship Project, a multi-year research and development programme backed by an investment of 47 billion won (approximately $31.2 million). The initiative aims to develop AI native network technologies for the 6G era.

The project will run until 2030 and brings together South Korea’s three largest mobile operators, SK Telecom, KT Corp and LG Uplus, alongside technology companies, universities and research institutions. The programme aims to integrate AI training and inference capabilities directly into next-generation network architecture.

As part of the initiative, ETRI plans to build an AI-RAN virtual network platform based on commercial base station software and establish a testing environment for validating AI-powered wireless network technologies.

ETRI said it will collaborate with international organisations, including the AI-RAN Alliance, 3GPP and the O-RAN Alliance, to support joint research and contribute to global standardisation efforts. The project forms part of South Korea’s efforts to strengthen AI-native network technologies and secure a leading position in the development of 6G communications.

Why does it matter?

AI-RAN (Artificial Intelligence Radio Access Network) is emerging as a key component of future telecommunications infrastructure. By embedding AI capabilities directly into network operations, operators could improve network efficiency, optimise resource allocation and support increasingly complex applications that require real-time processing.

The initiative also reflects intensifying global competition around 6G technologies. As countries and companies position themselves for the next generation of communications infrastructure, AI-native networks are becoming an important area of research, standardisation and strategic investment that could shape the future of connectivity and digital services.

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Manchester tops UK AI city ranking for third consecutive year

Manchester has ranked as the UK’s most AI-ready city outside London for the third consecutive year, according to the SAS AI Cities 2026 Index.

The index, produced by data and AI company SAS, assesses cities using indicators including AI-related jobs, business activity, innovation funding, education opportunities and digital infrastructure.

Manchester received the highest overall score in the 2026 index, supported by strong AI employment, education and business activity. SAS said the city recorded the highest number of AI businesses in the ranking, with 655 organisations operating in the sector.

The city also performed strongly in Innovate UK funding for AI and data economy projects, while skills and training initiatives have supported Greater Manchester’s wider AI ecosystem.

Recent regional initiatives include the expansion of technology learning hubs for secondary school students and the Future of Work Alliance, a five-year programme focused on AI research, training, internships and scholarships.

Bristol, Glasgow, Oxford, Birmingham, Southampton, Edinburgh, Leeds, Liverpool and Cambridge completed the top ten cities in the 2026 ranking.

Why does it matter?

The ranking points to the growing importance of regional AI ecosystems beyond London. Cities competing for AI investment increasingly need a mix of skills, education, research links, digital infrastructure, business activity and public-sector support. Manchester’s position suggests that local AI strategies are becoming part of wider economic development and workforce planning, although the ranking should be read as a private-sector index rather than an official measure of national AI capacity.

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Foxconn and Schneider Electric partner on AI data centre infrastructure

Hon Hai Technology Group (Foxconn) has formed a strategic partnership with Schneider Electric to develop next-generation AI data centres and support the global expansion of AI infrastructure.

The companies plan to develop a reference architecture for AI data centres focused on closed-loop energy optimisation, modular power and cooling systems, and standardised designs. They aim to create repeatable, high-performance ‘AI factory’ models that can be deployed at scale.

Foxconn said the collaboration will help create scalable and energy-efficient infrastructure to meet growing demand for AI computing capacity. The company said the partnership is designed to deliver integrated solutions for large-scale AI applications.

Schneider Electric said the rapid growth of AI is increasing the importance of energy systems capable of supporting large-scale computing workloads. The company added that closer integration between computing and energy management will be essential for building resilient and efficient AI infrastructure, particularly as AI deployment expands in Taiwan and globally.

Why does it matter?

The partnership highlights the growing importance of infrastructure in the AI economy. As demand for AI computing accelerates, data centres are becoming critical strategic assets, requiring significant investment in power, cooling and energy management systems to support increasingly intensive workloads.

The announcement also reflects a broader shift towards integrated approaches that combine computing infrastructure with energy optimisation. As governments and companies seek to expand AI capacity while managing costs and sustainability concerns, efficient data centre design is likely to become a key factor in the competitiveness of national and regional AI ecosystems.

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Armenian finance minister highlights AI’s economic potential and risks

Armenia’s Finance Minister Vahe Hovhannisyan said AI could support economic growth while also creating new economic and labour-market challenges. He made the comments during a parliamentary discussion on the performance of the 2025 state budget.

Hovhannisyan said the impact of AI is being widely debated internationally and that governments around the world are actively exploring its economic implications. He was responding to questions about AI’s potential effect on GDP growth and the expansion of the tax base.

The minister cited international estimates suggesting that AI adoption could add approximately 0.8 to 1 percentage point to economic growth. He said AI has the potential to generate new forms of employment while supporting productivity and economic growth.

At the same time, Hovhannisyan warned that AI could disrupt existing jobs and create adjustment challenges for labour markets. The remarks were made during discussions on Armenia‘s 2025 budget performance, as the government’s 2026 budget projects economic growth of 5,4%.

Why does it matter?

The comments reflect a broader global debate about AI’s economic impact. Policymakers increasingly view AI as a potential driver of productivity, innovation and economic growth, while also recognising the possibility of labour-market disruption and changing workforce demands.

For emerging economies such as Armenia, the challenge is not only adopting AI technologies but also ensuring that workers and businesses can benefit from them. The long-term impact of AI on growth, employment and public finances will depend on investment, skills development and the ability to adapt to technological change.

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