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Vietnam AI Law establishes comprehensive risk based governance framework

Vietnam’s Law on Artificial Intelligence has entered into force, establishing the first dedicated AI legal framework in Southeast Asia. The law centralises oversight and replaces earlier AI provisions in the 2025 Law on Digital Technology Industry.

The framework closely mirrors the AI Act adopted by the European Union. It promotes accountability, transparency, and safety in response to risks such as misinformation, copyright infringement, and deepfakes.

At the same time, Vietnam places a stronger emphasis on digital sovereignty and domestic AI capacity. While remaining open to international integration, the law prioritises national strategic interests.

The legislation introduces a tiered risk classification system. AI systems considered to pose unacceptable risks, including threats to national security or human dignity, are banned, while low-risk applications such as spam filters face lighter obligations.

The Vietnam Ministry of Science and Technology will lead implementation. A national AI database will support monitoring and registration, and a dedicated AI development fund will invest in data centres and research capacity as part of Vietnam’s broader technology strategy.

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AI Cybersecurity stability framework unlocks advanced Non Human Identity management

AI is increasingly positioned as a key driver of cybersecurity stability. By analysing large volumes of data and detecting anomalies in real time, AI helps organisations strengthen defence systems and respond faster to evolving digital threats.

Modern cybersecurity challenges are closely linked to the rise of Non-Human Identities (NHIs), including machine accounts, tokens, and automated credentials. These identities require continuous monitoring and secure lifecycle management to prevent unauthorised access and data breaches.

The integration of AI with NHI management enables a more proactive security approach. AI improves visibility into access permissions and system behaviour, helping organisations reduce risks and maintain stronger control over their digital environments.

Automation powered by AI enhances operational efficiency across cybersecurity processes. Tasks such as credential rotation, access monitoring, and policy enforcement can be automated, allowing security teams to prioritise strategic decision-making.

AI also strengthens threat intelligence capabilities by identifying patterns and predicting potential attacks before they occur. This predictive capacity helps close security gaps, particularly between development, operations, and security teams.

Across sectors such as finance, healthcare, and technology, AI-driven cybersecurity solutions support compliance and data protection requirements. These systems contribute to building resilient infrastructures capable of adapting to increasingly sophisticated cyber threats.

Finally, combining AI capabilities with structured identity management creates a foundation for long-term cybersecurity resilience. Organisations adopting this approach can improve incident response, enhance adaptability, and secure future digital operations.

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AI helps scientists translate thoughts into speech and images

Breakthroughs in AI and neuroscience are bringing researchers closer to translating human thoughts into words, offering new communication tools for people living with paralysis or severe speech disorders. Experiments with implanted brain electrodes have enabled patients to produce sentences simply by imagining speech.

Machine learning systems analyse neural signals captured from small electrode arrays placed in speech-related brain regions, converting activity into text at increasing speed and accuracy. Recent trials achieved communication rates approaching practical conversation while also capturing tone, rhythm and emotional expression.

Scientists have begun detecting ‘inner speech’, identifying silent counting or imagined phrases without physical attempts to speak. Findings suggest thinking and speaking rely on overlapping neural networks, although spontaneous thoughts remain difficult to decode reliably.

Beyond language, researchers are reconstructing images, music and sensory experiences from brain scans using generative AI models. Studies analysing visual and auditory processing reveal how different brain regions encode perception, opening possibilities for studying hallucinations, dreams and animal cognition.

Technology companies, including Neuralink, are pushing brain-computer interfaces toward commercial use, though current systems sample only a tiny fraction of the brain’s billions of neurons. Experts believe widespread applications such as natural speech restoration or even brain-to-brain communication may emerge within the next two decades, alongside growing ethical debates around privacy and mental autonomy.

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Does politeness improve AI responses

Research suggests that being polite to AI chatbots such as ChatGPT does not reliably improve accuracy, despite widespread belief to the contrary. Experiments testing flattery, encouragement and even insults found inconsistent results across different large language models.

Experts in the US say many prominent engineering myths have faded as AI systems have improved. Minor wording changes, such as adding ‘please’ or ‘thank you’, are unlikely to influence mainstream generative AI tools consistently.

Computer scientists argue that users should treat AI as a tool rather than a person. Techniques that do work include asking for multiple options, providing concrete examples and requesting step-by-step clarification before generating a final response.

Researchers also warn that role playing can reduce accuracy when a question has one correct answer, potentially increasing hallucinations. For creative tasks, however, role play and iterative questioning can still be effective when used carefully.

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How AI changed the way Go players think

Ten years after AlphaGo defeated South Korean Go champion Lee Sedol, AI has fundamentally transformed how the ancient board game is played and taught.

Professional players now train daily using programmes like KataGo, replicating AI-suggested moves rather than developing their own style, with top-ranked player Shin Jin-seo matching AI’s choices over 37% of the time.

The shift has sparked debate about creativity in the game. AI has rendered centuries-old opening strategies obsolete, replacing them with calculated, uniform moves that many players and fans find repetitive.

Lee Sedol, who retired after his 2016 defeat, described Go as having been an art form, one he believes has been lost to rote imitation.

Yet AI has also opened doors previously closed to many. Female players, historically excluded from elite male training circles, have used AI to level the playing field, with several now reaching the finals of major international tournaments for the first time.

Despite AI’s dominance, fans still prefer watching humans compete, drawn to the personality, mistakes, and comebacks that machines cannot replicate.

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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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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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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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