The Inca system that preceded the digital age

Long before the internet and instant messaging, the Inca Empire built its own intricate communication web that spanned thousands of kilometres across the Andes.

In his blog post ‘Quipus and chasquis: The Inca internet of diplomacy,’ Jovan Kurbalija explores how this ancient civilisation mastered the art of connecting people and information without written language or digital tools, relying instead on an ingenious blend of data, logistics, and human networks.

At the heart of this system were the quipus, bundles of knotted cords that stored census data, taxes, inventories, and decrees. Each knot, colour, and string length encoded information much like modern databases do today. Far from being primitive, quipus functioned as the Incas’ version of data storage and computation, a tangible form of coding that required skilled interpreters to read and maintain.

The chasquis, on the other hand, were the living couriers of the empire, elite runners who relayed quipus and oral messages across vast distances using a network of mountain roads. Their relay system ensured that vital information could travel hundreds of kilometres within a day, forming what Kurbalija calls a ‘human internet.’ That combination of endurance, coordination, and trust made the Inca communication network remarkably efficient and resilient.

Beyond its technical brilliance, the Inca system carried a deeper diplomatic purpose. Communication was the glue that held together a vast and diverse empire. By integrating technology, logistics, and human skill, the Incas created a model of governance that balanced diversity and unity.

As Kurbalija concludes, the story of the quipus and chasquis offers a timeless lesson for modern diplomacy. Technology alone does not sustain communication; people do. Whether through knotted cords or encrypted data cables, the challenge remains the same, which is to move information wisely, build trust, and connect societies.

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Google flags adaptive malware that rewrites itself with AI

Hackers are experimenting with malware that taps large language models to morph in real time, according to Google’s Threat Intelligence Group. An experimental family dubbed PROMPTFLUX can rewrite and obfuscate its own code as it executes, aiming to sidestep static, signature-based detection.

PROMPTFLUX interacts with Gemini’s API to request on-demand functions and ‘just-in-time’ evasion techniques, rather than hard-coding behaviours. GTIG describes the approach as a step toward more adaptive, partially autonomous malware that dynamically generates scripts and changes its footprint.

Investigators say the current samples appear to be in development or testing, with incomplete features and limited Gemini API access. Google says it has disabled associated assets and has not observed a successful compromise, yet warns that financially motivated actors are exploring such tooling.

Researchers point to a maturing underground market for illicit AI utilities that lowers barriers for less-skilled offenders. State-linked operators in North Korea, Iran, and China are reportedly experimenting with AI to enhance reconnaissance, influence, and intrusion workflows.

Defenders are turning to AI, using security frameworks and agents like ‘Big Sleep’ to find flaws. Teams should expect AI-assisted obfuscation, emphasise behaviour-based detection, watch model-API abuse, and lock down developer and automation credentials.

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Courts signal limits on AI in legal proceedings

A High Court judge warned that a solicitor who pushed an expert to accept an AI-generated draft breached their duty. Mr Justice Waksman called it a gross breach and cited a case from the latest survey.
He noted 14% of experts would accept such terms, which is unacceptable.

Updated guidance clarifies what limited judicial AI use is permissible. Judges may use a private ChatGPT 365 for summaries with confidential prompts. There is no duty to disclose, but the judgment must be the judge’s own.

Waksman cautioned against legal research or analysis done by AI. Hallucinated authorities and fake citations have already appeared. Experts must not let AI answer the questions they are retained to decide.

Survey findings show wider use of AI for drafting and summaries. Waksman drew a bright line between back-office aids and core duties. Convenience cannot trump independence, accuracy and accountability.

For practitioners, two rules follow. Solicitors must not foist AI-drafted expert opinions, and experts should refuse. Within courts, limited, non-determinative AI may assist, but outcomes must be human.

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Data infrastructure growth in India raises environmental concerns

India’s data centre market is expanding rapidly, driven by rapid AI adoption, mobile internet growth, and massive foreign investment from firms such as Google, Amazon and Meta. The sector is projected to expand 77% by 2027, with billions more expected to be spent on capacity by 2030.

Rapid expansion of energy-hungry and water-intensive facilities is creating serious sustainability challenges, particularly in water-scarce urban clusters like Mumbai, Hyderabad and Bengaluru. Experts warn that by 2030, India’s data centre water consumption could reach 358 billion litres, risking shortages for local communities and critical services in India.

Authorities and industry players are exploring solutions including treated wastewater, low-stress basin selection, and zero-water cooling technologies to mitigate environmental impact. Officials also highlight the need to mandate renewable energy use to balance India’s digital ambitions with decarbonisation goals.

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Oracle and Ci4CC join forces to advance AI in cancer research

Oracle Health and Life Sciences has announced a strategic collaboration with the Cancer Center Informatics Society (Ci4CC) to accelerate AI innovation in oncology. The partnership unites Oracle’s healthcare technology with Ci4CC’s national network of cancer research institutions.

The two organisations plan to co-develop an electronic health record system tailored to oncology, integrating clinical and genomic data for more effective personalised medicine. They also aim to explore AI-driven drug development to enhance research and patient outcomes.

Oracle executives said the collaboration represents an opportunity to use advanced AI applications to transform cancer research. The Ci4CC President highlighted the importance of collective innovation, noting that progress in oncology relies on shared data and cross-institution collaboration.

The agreement, announced at Ci4CC’s annual symposium in Miami Beach US, remains non-binding but signals growing momentum in AI-driven precision medicine. Both organisations see the initiative as a step towards turning medical data into actionable insights that could redefine oncology care.

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Researchers urge governance after LLMs display source-driven bias

Large language models (LLMs) are increasingly used to grade, hire, and moderate text. UZH research shows that evaluations shift when participants are told who wrote identical text, revealing source bias. Agreement stayed high only when authorship was hidden.

When told a human or another AI wrote it, agreement fell, and biases surfaced. The strongest was anti-Chinese across all models, including a model from China, with sharp drops even for well-reasoned arguments.

AI models also preferred ‘human-written’ over ‘AI-written’, showing scepticism toward machine-authored text. Such identity-triggered bias risks unfair outcomes in moderation, reviewing, hiring, and newsroom workflows.

Researchers recommend identity-blind prompts, A/B checks with and without source cues, structured rubrics focused on evidence and logic, and human oversight for consequential decisions.

They call for governance standards: disclose evaluation settings, test for bias across demographics and nationalities, and set guardrails before sensitive deployments. Transparency on prompts, model versions, and calibration is essential.

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Companies call back workers as AI fails to replace jobs

As interest in AI grows, many companies that previously cut staff are now rehiring some of the same employees. Visier data shows about 5.3 percent of laid-off workers have returned, marking a steady but rising trend.

The findings suggest AI adoption has not yet replaced human labour at the scale some executives anticipated.

Visier’s analysis of 2.4 million employees across 142 global companies indicates that AI tools often automate parts of tasks rather than entire jobs. Experts say organisations are realising that AI implementation costs, including infrastructure, data systems, and security, often exceed initial projections.

Many companies now rely on experienced staff to manage or complement AI tools effectively.

Industry observers highlight a gap between expectations and outcomes. MIT research shows around 95 percent of firms have yet to see measurable financial returns from AI investments.

Cost-cutting measures such as layoffs also carry hidden expenses, with estimates suggesting companies spend $1.27 for every $1 saved when reducing staff.

Executives are urged to carefully assess AI’s true impact before assuming workforce reductions will deliver long-term savings. Rehiring former employees has become a practical response to bridge skill gaps and ensure technology integration succeeds without disrupting operations.

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AI conference in Egypt promotes innovation for a greener future

The National Telecommunication Institute (NTI) and Misr University for Science and Technology (MUST) jointly hosted a conference titled Artificial Intelligence for Environmental Sustainability.
The event focused on using technology to tackle global environmental challenges.

The conference aimed to advance research and innovation in applying artificial intelligence (AI) to support sustainable development.

Experts and academics discussed how AI can enhance environmental protection through smarter data analysis, improved monitoring systems, and reduced carbon emissions. The sessions explored AI’s role in promoting sustainability and highlighted new applications designed to manage resources more efficiently.

Students from MUST’s Faculty of Information Technology presented projects that showcased practical AI solutions for building a greener future. Their work reflected the conference’s goal of encouraging collaboration and applied research to address urgent environmental issues.

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UNDP and Algorand launch blockchain training for 24,000 staff

The United Nations Development Programme (UNDP) has officially expanded its Blockchain Academy to reach 24,000 personnel worldwide, including staff from UNDP, UN Volunteers, and the United Nations Capital Development Fund (UNCDF).

The initiative, launched in partnership with the Algorand Foundation, aims to strengthen understanding and practical use of blockchain technology to support sustainable development goals.

The academy’s expanded curriculum builds on a successful beta phase that certified over 30 UN personnel and introduced 18 hours of specialised training. It now offers advanced modules to help UN staff design transparent and efficient blockchain solutions for real-world challenges.

The training also fosters a collaborative network where participants share best practices and develop blockchain-driven projects across global programmes.

UNDP has used blockchain since 2015 to boost transparency and inclusion, from tracking supply chains to supporting energy trading and digital investments. Through its Algorand partnership, UNDP aims to speed up blockchain adoption by offering technical support and project incubation for scalable sustainable impact.

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Anthropic strengthens European growth through Paris and Munich offices

AI firm Anthropic is expanding its European presence by opening new offices in Paris and Munich, strengthening its footprint alongside existing hubs in London, Dublin, and Zurich.

An expansion that follows rapid growth across the EMEA region, where the company has tripled its workforce and seen a ninefold increase in annual run-rate revenue.

The move comes as European businesses increasingly rely on Claude for critical enterprise tasks. Companies such as L’Oréal, BMW, SAP, and Sanofi are using the AI model to enhance software, improve workflows, and ensure operational reliability.

Germany and France, both among the top 20 countries in Claude usage per capita, are now at the centre to Anthropic’s strategic expansion.

Anthropic is also strengthening its leadership team across Europe. Guillaume Princen will oversee startups and digital-native businesses, while Pip White and Thomas Remy will lead the northern and southern EMEA regions, respectively.

A new head will soon be announced for Central and Eastern Europe, reflecting the company’s growing regional reach.

Beyond commercial goals, Anthropic is partnering with European institutions to promote AI education and culture. It collaborates with the Light Art Space in Berlin, supports student hackathons through TUM.ai, and works with the French organisation Unaite to advance developer training.

These partnerships reinforce Anthropic’s long-term commitment to responsible AI growth across the continent.

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