Artificial intelligence Archives | Digital Watch Observatory

Claws become the new trend in local agentic AI

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.

Growing enthusiasm for claws highlights a wider shift towards agentic AI running directly on personal devices.

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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Safety and ethics standards for robotics established in China

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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Quantum-safe security upgrades SIM and eSIM cards

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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DeepSeek V4 tests China’s AI ambitions against US rivals

China’s DeepSeek is reportedly preparing to release its latest AI model, according to a Financial Times report. The planned debut of the company’s V4 large language model is seen as another test of China’s ability to compete with leading US AI firms.

Sources cited by the report said V4 will be a multimodal model capable of generating images, video, and text. DeepSeek has reportedly worked with Huawei and Cambricon to optimise the model for Chinese AI chips.

The release is expected ahead of the annual Two Sessions parliamentary meetings in China, which begin on 4 March. Analysts say the timing could reinforce DeepSeek’s positioning as a national AI champion.

The launch would be the company’s first major model release since its R1 reasoning system debuted in January last year. DeepSeek claimed R1 matched leading US models while using less computing power, a development some compared to a ‘Sputnik moment’ for American technology firms.

Separately, AI researcher Andrew Ng said the industry remains decades away from achieving artificial general intelligence (AGI). He argued that systems capable of matching human intellectual breadth remain distant, despite steady advances in model performance.

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Qualcomm unveils AI focused wearable chip

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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Anthropic’s Claude climbs past ChatGPT in downloads

App Store charts have shifted sharply in the consumer AI market, with Anthropic’s Claude now surpassing ChatGPT in downloads. The change marks one of the most notable ranking reversals in recent months.

The spike in downloads appears tied to public reaction rather than new product features. App rankings often fluctuate, but this shift coincides with growing debate over how AI companies collaborate with governments.

Anthropic has positioned Claude around strict usage policies, including restrictions on domestic surveillance and lethal autonomous weapons. That stance has resonated with users concerned about the ethical deployment of AI technologies.

Claude’s ascent underscores a more competitive chatbot landscape in which transparency and public confidence are playing an increasingly important role. AI app rankings are becoming increasingly volatile as users are willing to switch platforms.

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AI data centre boom drives global memory chip shortage

Global demand for AI data centres is creating a severe shortage of memory chips, disrupting supply chains across the consumer electronics industry. Manufacturers warn shortages of RAM could lead to higher prices and delayed shipments for devices including laptops, smartphones and gaming consoles.

Only three companies dominate global RAM production, with capacity increasingly redirected towards high-bandwidth memory used in AI systems. Analysts say rapid investment in AI infrastructure has absorbed available supply faster than manufacturers can expand production facilities.

Major technology firms are already feeling pressure as memory costs rise and inventories tighten. Companies including Apple, HP, Dell and Qualcomm have warned investors that pricing increases and weaker forecasts may follow if shortages persist.

Gaming and computer manufacturers are exploring different responses, ranging from price increases to redesigning products that require less memory. Experts expect supply constraints to continue through the year as chipmakers attempt to balance AI demand with consumer electronics needs.

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Cloud-native networks drive AI connectivity

Mobility is emerging as the digital economy’s backbone, with Cisco outlining its latest strategy at Mobile World Congress. Cloud-native, programmable networks are being framed as platforms that enable new revenue models while reducing operational complexity across industries and cities.

Recent updates focus on the Cisco Mobility Services Platform, plus IoT-as-a-service and a programmable core built to scale global networks.

Partnerships with operators such as AT&T, Tele2 IoT, and Wind Tre Group aim to speed up enterprise connectivity and reduce deployment times for industrial use cases.

Preparation for the AI era remains a core theme. Collaboration with NVIDIA focuses on embedding intelligence into wireless infrastructure while ensuring networks can support distributed AI workloads with low latency and predictable performance.

Ecosystem expansion includes joining the Linux Foundation initiative, while industry rankings signal momentum as operators move toward 5G Advanced and AI-native networks.

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Reddit surges as AI search drives a new era of online discovery

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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Samsung advances toward AI autonomous factories by 2030

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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