Artificial intelligence

Natural language meets robotics in MIT’s on-demand object creation system

MIT researchers have developed a speech-to-reality system that allows users to create physical objects by describing them aloud, combining generative AI with robotic assembly. The system can produce simple furniture and decorative items in minutes using modular components.

The workflow translates spoken instructions into a digital design using a large language model and 3D generative AI. The design is then broken into voxel-based parts and adapted to real-world fabrication constraints before being assembled by a robotic arm.

Researchers have demonstrated the system by producing stools, shelves, chairs, tables and small sculptures. The approach aims to reduce manufacturing complexity by enabling rapid construction without specialised knowledge of 3D modelling or robotics.

Unlike traditional fabrication methods such as 3D printing, which can take hours or days, the modular assembly process operates quickly and allows objects to be disassembled and reused. The team is exploring stronger connection methods and extensions to larger-scale robotic systems.

The research was presented at the ACM Symposium on Computational Fabrication in November. The team said the work points toward more accessible, flexible and sustainable ways to produce physical objects using natural language and AI-driven design.

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PwC automates AI governance with Agent Mode

The global professional services network, PwC, has expanded its Model Edge platform with the launch of Agent Mode, an AI assistant designed to automate governance, compliance and documentation across enterprise AI model lifecycles.

The capability targets the growing administrative burden faced by organisations as AI model portfolios scale and regulatory expectations intensify.

Agent Mode allows users to describe governance tasks in natural language, instead of manually navigating workflows.

A system that executes actions directly within Model Edge, generates leadership-ready documentation and supports common document and reporting formats, significantly reducing routine compliance effort.

PwC estimates weekly time savings of between 20 and 50 percent for governance and model risk teams.

Behind the interface, a secure orchestration engine interprets user intent, verifies role based permissions and selects appropriate large language models based on task complexity. The design ensures governance guardrails remain intact while enabling faster and more consistent oversight.

PwC positions Agent Mode as a step towards fully automated, agent-driven AI governance, enabling organisations to focus expert attention on risk assessment and regulatory judgement instead of process management as enterprise AI adoption accelerates.

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The limits of raw computing power in AI

As the global race for AI accelerates, a growing number of experts are questioning whether simply adding more computing power still delivers meaningful results. In a recent blog post, digital policy expert Jovan Kurbalija argues that AI development is approaching a critical plateau, where massive investments in hardware produce only marginal gains in performance.

Despite the dominance of advanced GPUs and ever-larger data centres, improvements in accuracy and reasoning among leading models are slowing, exposing what he describes as an emerging ‘AI Pareto paradox’.

According to Kurbalija, the imbalance is striking: around 80% of AI investment is currently spent on computing infrastructure, yet it accounts for only a fraction of real-world impact. As hardware becomes cheaper and more widely available, he suggests it is no longer the decisive factor.

Instead, the next phase of AI progress will depend on how effectively organisations integrate human knowledge, skills, and processes into AI systems.

That shift places people, not machines, at the centre of AI transformation. Kurbalija highlights the limits of traditional training approaches and points to new models of learning that focus on hands-on development and deep understanding of data.

Building a simple AI tool may now take minutes, but turning it into a reliable, high-precision system requires sustained human effort, from refining data to rethinking internal workflows.

Looking ahead to 2026, the message is clear. Success in AI will not be defined by who owns the most powerful chips, but by who invests most wisely in people.

As Kurbalija concludes, organisations that treat AI as a skill to be cultivated, rather than a product to be purchased, are far more likely to see lasting benefits from the technology.

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AI reshapes media in North Macedonia with new regulatory guidance

A new analysis examines the impact of AI on North Macedonia’s media sector, offering guidance on ethical standards, human rights, and regulatory approaches.

Prepared in both Macedonian and English, the study benchmarks the country’s practices against European frameworks and provides actionable recommendations for future regulation and self-regulation.

The research, supported by the EU and Council of Europe’s PRO-FREX initiative and in collaboration with the Agency for Audio and Audiovisual Media Services (AVMU), was presented during Media Literacy Days 2025 in Skopje.

It highlights the relevance of EU and Council of Europe guidelines, including the Framework Convention on AI and Human Rights, and guidance on responsible AI in journalism.

AVMU’s involvement underlines its role in ensuring media freedom, fairness, and accountability amid rapid technological change. Participants highlighted the need for careful policymaking to manage AI’s impact, protecting media diversity, journalistic standards, and public trust online.

The analysis forms part of broader efforts under the Council of Europe and the EU’s Horizontal Facility for the Western Balkans and Türkiye, aiming to support North Macedonia in aligning media regulation with European standards while responsibly integrating AI technologies.

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AI and security trends shape the internet in 2025

Cloudflare released its sixth annual Year in Review, providing a comprehensive snapshot of global Internet trends in 2025. The report highlights rising digital reliance, AI progress, and evolving security threats across Cloudflare’s network and Radar data.

Global Internet traffic rose 19 percent year-on-year, reflecting increased use for personal and professional activities. A key trend was the move from large-scale AI training to continuous AI inference, alongside rapid growth in generative AI platforms.

Google and Meta remained the most popular services, while ChatGPT led in generative AI usage.

Cybersecurity remained a critical concern. Post-quantum encryption now protects 52 percent of Internet traffic, yet record-breaking DDoS attacks underscored rising cyber risks.

Civil society and non-profit organisations were the most targeted sectors for the first time, while government actions caused nearly half of the major Internet outages.

Connectivity varied by region, with Europe leading in speed and quality and Spain ranking highest globally. The report outlines 2025’s Internet challenges and progress, providing insights for governments, businesses, and users aiming for greater resilience and security.

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Healthcare faces growing compliance pressure from AI adoption

AI is becoming a practical tool across healthcare as providers face rising patient demand, chronic disease and limited resources.

These AI systems increasingly support tasks such as clinical documentation, billing, diagnostics and personalised treatment instead of relying solely on manual processes, allowing clinicians to focus more directly on patient care.

At the same time, AI introduces significant compliance and safety risks. Algorithmic bias, opaque decision-making, and outdated training data can affect clinical outcomes, raising questions about accountability when errors occur.

Regulators are signalling that healthcare organisations cannot delegate responsibility to automated systems and must retain meaningful human oversight over AI-assisted decisions.

Regulatory exposure spans federal and state frameworks, including HIPAA privacy rules, FDA oversight of AI-enabled medical devices and enforcement under the False Claims Act.

Healthcare providers are expected to implement robust procurement checks, continuous monitoring, governance structures and patient consent practices as AI regulation evolves towards a more coordinated national approach.

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Nigeria reaches AI training milestone under Microsoft skills initiative

Microsoft, in partnership with the Federal Government of Nigeria, Data Science Nigeria and Lagos Business School, has announced that its AI National Skills Initiative (AINSI) has reached more than 350,000 Nigerians with AI training, building on a wider effort that has delivered digital education to over four million people since 2021.

The programme aims to equip individuals, including everyday tech users, business leaders and public sector officials, with AI competencies to strengthen Nigeria’s position in the digital economy.

Key components include digital literacy workshops, business leadership sessions, an AI hackathon, and targeted developer courses covering analytics, DevOps, machine learning and data science.

Microsoft and its partners are also working with government-driven initiatives such as the Developers in Government and Three Million Technical Talent programmes to build a robust pipeline of technical talent.

Leadership training for public sector executives seeks to foster evidence-driven policymaking and responsible AI adoption.

Looking ahead, the Nigeria initiative aims to train up to one million citizens over three years, helping build a future-ready workforce capable of driving innovation, economic growth and national competitiveness in the AI era.

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Joule Agent workshops help organisations build practical AI agent solutions

Artificial intelligence agents, autonomous systems that perform tasks or assist decision-making, are increasingly part of digital transformation discussions, but their value depends on solving actual business problems rather than adopting technology for its own sake.

SAP’s AppHaus Joule Agent Discovery and Design workshops provide a structured, human-centred approach to help organisations discover where agentic AI can deliver real impact and design agents that collaborate effectively with humans.

The Discovery workshop focuses on identifying challenges and inefficiencies where automation can add value, guiding participants to select high-priority use cases that suit agentic solutions.

The Design workshop then brings users and business experts together to define each AI agent’s role, responsibilities and required skills. By the end of these sessions, participants have detailed plans defining tasks, workflows and instructions that can be translated into actual AI agent implementations.

SAP also supports these formats with self-paced learning courses and toolkits to help anyone run the workshops confidently, emphasising practical human–AI partnerships rather than technology hype.

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Gemini users can now build custom AI mini-apps with Opal

Google has expanded the availability of Opal, a no-code experimental tool from Google Labs, by integrating it directly into the Gemini web application.

This integration allows users to build AI-powered mini-apps, known as Gems, without writing any code, using natural language descriptions and a visual workflow editor inside Gemini’s interface.

Previously available only via separate Google Labs experiments, Opal now appears in the Gems manager section of the Gemini web app, where users can describe the functionality they want and have Gemini generate a customised mini-app.

These mini-apps can be reused for specific tasks and workflows and saved as part of a user’s Gem collection.

The no-code ‘vibe-coding’ approach aims to democratise AI development by enabling creators, developers and non-technical users alike to build applications that automate or augment tasks, all through intuitive language prompts and visual building blocks.

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OpenAI adds pinned chat feature to ChatGPT apps

The US tech company, OpenAI, has begun rolling out a pinned chats feature in ChatGPT across web, Android and iOS, allowing users to keep selected conversations fixed at the top of their chat history for faster access.

The function mirrors familiar behaviour from messaging platforms such as WhatsApp and Telegram instead of requiring repeated scrolling through past chats.

Users can pin a conversation by selecting the three-dot menu on the web or by long-pressing on mobile devices, ensuring that essential discussions remain visible regardless of how many new chats are created.

An update that follows earlier interface changes aimed at helping users explore conversation paths without losing the original discussion thread.

Alongside pinned chats, OpenAI is moving ChatGPT toward a more app-driven experience through an internal directory that allows users to connect third-party services directly within conversations.

The company says these integrations support tasks such as bookings, file handling and document creation without switching applications.

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