A new expression has entered the AI vocabulary, with ‘claws’ becoming the latest term to capture the industry’s imagination.
The term refers to a growing family of open-source personal assistants designed to run locally on consumer hardware, often on Apple’s compact Mac mini rather than on cloud-based servers.
These assistants can access calendars, email accounts, coding tools, browsers and external model APIs, enabling them to carry out complex digital tasks autonomously.
Interest increased after AI researcher Andrej Karpathy described his experiments with claws, prompting broader attention across online communities.
Many users have begun adopting the tools as lightweight agentic systems capable of handling real work, from scheduling meetings to writing software overnight by linking to models from providers such as OpenAI.
The name originated with Clawdbot, which was recently rebranded as OpenClaw and became a prominent example in Silicon Valley.
A wave of variants, including NanoClaw, ZeroClaw and IronClaw, has followed, marking a surge in locally run assistants that appeal to users seeking greater autonomy, privacy and experimentation.
Whether these systems become mainstream or remain a niche developer trend, they show how quickly the AI landscape can evolve and how new concepts often spread long before they fully mature.
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China has introduced its first national standards for humanoid robots and embodied AI, marking a key step in regulating the growing industry. The framework covers the full industrial lifecycle, from design to deployment, ensuring safe, ethical, and high-quality development.
The standard system, released at the Humanoid Robots and Embodied Intelligence Standardisation (HEIS) meeting in Beijing, includes six components: commonality, brain-like and intelligent computing, limbs and components, complete machines and systems, applications, and safety and ethics.
It was developed collaboratively by over 120 research institutions, enterprises, and industry users under the Ministry of Industry and Information Technology.
Brain-like computing standards manage data, model training, and deployment, while application standards oversee development, operation, and maintenance. Safety and ethics protocols cover the entire industrial lifecycle, providing assurance of compliance as the sector evolves.
Following rapid growth in 2025, with over 140 domestic manufacturers producing more than 330 models, the new standards aim to guide China’s humanoid robot industry toward sustainable and regulated development.
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Thales has successfully demonstrated a world-first capability that prepares 5G networks for the era of quantum computing. The test proved that SIM and eSIM cards can be remotely upgraded to support post-quantum cryptography, boosting security without disrupting services or user experience.
The breakthrough highlights the potential of crypto-agile networks to evolve securely as quantum threats emerge.
Replacing millions of devices is impractical, so Thales enables operators to deploy quantum-safe algorithms directly to existing devices. Remote upgrades preserve data and connectivity while instantly boosting security, keeping 5G networks resilient and trusted.
The demonstration reinforces Thales’ leadership in post-quantum cryptography, with dedicated research teams developing quantum-resistant methods and contributing to international standards, including NIST initiatives.
Operators can now protect long-term investments, secure critical services, and prepare for the next generation of quantum computing without operational disruptions.
Thales’ approach offers a practical roadmap for telecoms to adopt quantum-safe security today, ensuring continuity, trust, and resilience across mobile networks as digital threats evolve.
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Qualcomm has unveiled its Snapdragon Wear Elite chip at MWC 2026 in Barcelona, positioning it for a new wave of AI-driven wearable devices. The company said the processor is aimed at pins, pendants, and potentially display-free smart glasses.
Built on a 3nm process, the chip includes both an eNPU for low-power AI tasks and a Hexagon NPU for heavier on-device processing. Qualcomm said the platform can handle up to two billion parameters locally, supporting more advanced AI features without relying on the cloud.
The Snapdragon Wear Elite is designed to sit alongside the existing W5 Plus rather than replace it. Qualcomm added that the chip improves power efficiency, with GPS tracking using 40 per cent less power and fast charging that delivers around 50 per cent of battery capacity in 10 minutes.
Connectivity features include satellite support, 5G, ultra wideband and Bluetooth 6.0. Qualcomm signalled that longer battery life and on-device AI performance will be central to the next generation of wearable AI gadgets.
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AI-generated search summaries are reshaping online discovery and pushing Reddit to the forefront of global information flows.
The rise of Google’s AI Overview feature places curated AI summaries above traditional search results, encouraging users to rely on machine-generated syntheses instead of browsing lists of websites.
Reddit’s visibility surged after the platform agreed to data access partnerships with Google and OpenAI, enabling large language models to train on its vast archive of human conversations.
The platform’s user-generated discussions are increasingly prioritised because they provide commentary viewed as more neutral and less commercially influenced.
Research from Profound identifies Reddit as the most cited source across major AI platforms. Reddit’s rapid expansion reflects such a shift.
It has overtaken TikTok in the UK, according to Ofcom and now reports 116 million daily active users and more than one billion monthly users.
Communities built around niche interests, combined with voting systems and karma-driven credibility, create a structure that appeals to AI systems searching for grounded, human-authored content.
The platform’s design, centred on subreddits run by volunteer moderators, reinforces trust signals that large models can evaluate when generating AI Overview results.
As AI-powered search becomes the dominant interface for navigating the internet, Reddit’s role as a primary corpus for training and citation continues to expand, reshaping how people discover and verify information.
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The South Korean electronics corporation, Samsung, is preparing a major shift to autonomous manufacturing, converting global production sites into AI-driven factories by 2030.
As such, the company is moving toward a model in which AI systems understand on-site conditions and make operational decisions independently, rather than relying on fixed automation.
A transition that will use digital twin simulations across the whole manufacturing cycle, from materials warehousing to shipping.
Samsung will deploy AI agents for quality control, production and logistics, aiming for stronger data-driven verification and improved efficiency. Wider adoption of AI in environmental health and safety is expected to raise workplace safety standards.
The firm plans to integrate agentic AI, first introduced with the Galaxy S26, into industrial operations, enabling systems to set and execute their own tasks. Humanoid manufacturing robots will be rolled out in phases as Samsung builds fully optimised smart factories.
Samsung will present its manufacturing vision at Mobile World Congress 2026, followed by the Samsung Mobile Business Summit, where executives will detail governance strategies for managing the rise of agentic AI across industries.
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South Korean President Lee Jae Myung used the opening day of his state visit to Singapore to set out plans for deeper cooperation in emerging technologies and renewable energy.
He framed the partnership as a chance to build a future-oriented agenda shaped by a shared reliance on human capital rather than natural resources.
The visit precedes a summit with Lawrence Wong, their second meeting in four months following the upgrade of bilateral ties to a strategic partnership. Both governments want to broaden collaboration across AI, energy, the green transition and defence while maintaining strong trade and investment links.
Lee told Korean residents in Singapore that the strengthened partnership could guide relations for the next fifty years by opening new routes for collaboration across strategic sectors. He added that expanding cooperation would support wider regional stability and long-term technological development.
The programme also includes a meeting with Tharman Shanmugaratnam and attendance at AI Connect. This forum connects business leaders and entrepreneurs from both countries seeking opportunities in AI research and commercial innovation.
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Microsoft and OpenAI have reaffirmed their long-standing collaboration after new funding and partnerships raised speculation about their relationship.
Both firms stressed that recent announcements leave their original agreements intact, preserving a framework built on technical integration, trust and shared ambitions for AI development.
Microsoft’s exclusive licence to OpenAI’s intellectual property remains untouched, as does its position as the sole cloud provider for stateless APIs powering OpenAI models.
These APIs can be accessed through either company. Yet all such calls, including those arising from third-party partnerships such as OpenAI’s work with Amazon, continue to run on Azure rather than on alternative clouds. OpenAI’s own products, including Frontier, also stay hosted on Azure.
Revenue-sharing arrangements are unchanged, alongside the contractual definition and evaluation process for artificial general intelligence.
OpenAI retains the freedom to secure additional compute capacity elsewhere, supported by large-scale initiatives such as the Stargate project.
Even with broader collaborations emerging across the industry, both firms present their alliance as central to advancing responsible AI and expanding access to powerful tools worldwide.
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Florida Crystals, a diversified agribusiness serving sugar, sweeteners, bioenergy and agriculture markets, has adopted an AI-driven process intelligence platform to improve operational performance by linking data across siloed systems and making business processes more transparent and measurable.
The platform captures workflow telemetry, translates it into structured insights and surfaces opportunities for automation and efficiency improvements.
Executives describe how process intelligence helps teams identify bottlenecks in order fulfilment, customer onboarding and production planning, and how it assists in prioritising tasks that deliver measurable value rather than manual administrative work.
Using AI to analyse process data also supports root-cause analysis and predictive problem-solving, enabling managers to intervene before minor issues escalate.
The implementation underscores a shift from traditional reporting and human-intensive analysis toward AI-augmented operational decision-making, where data-centric process insights guide resourcing, exceptions handling and performance optimisation.
Rather than replacing staff, leaders emphasise that the technology is intended to augment human capabilities, allowing employees to focus on strategic decision-making while routine patterns are automated or re-engineered.
Florida Crystals’ approach reflects broader enterprise trends where intelligent data platforms, process mining and machine learning combine to support digital transformation efforts across supply chain, customer service and production functions.
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Queen’s University Belfast and University College Dublin (UCD) have formalised a cross-border partnership focused on artificial intelligence research and talent development.
The collaboration will bring together researchers, faculty and students from both institutions to address shared challenges and opportunities in AI, including applications in healthcare, cybersecurity, data analytics and ethical AI governance.
The initiative aims to deepen academic cooperation, foster joint research projects, and expand interdisciplinary learning programmes that equip students with AI-relevant skills.
Leaders from both universities emphasised the importance of an all-island approach to strengthening AI expertise, enhancing competitiveness, and contributing to economic growth in Northern Ireland and the Republic of Ireland.
The partnership is expected to facilitate knowledge exchange, researcher mobility, and shared access to specialised facilities and funding opportunities.
Stakeholders also highlighted the broader societal context: as AI becomes integral to multiple sectors, coordinated academic and research ecosystems can help ensure that innovation aligns with ethical standards and public value.
By pooling resources and expertise across jurisdictions, the initiative positions both universities to play a more influential role in shaping AI policy, industry adoption and workforce development.
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