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Meta launches AI smart glasses with Ray-Ban and Oakley

Zuckerberg’s Meta has unveiled a new generation of smart glasses powered by AI at its annual Meta Connect conference in California. Working with Ray-Ban and Oakley, the company introduced devices including the Meta Ray-Ban Display and the Oakley Meta Vanguard.

These glasses are designed to bring the Meta AI assistant into daily use instead of being confined to phones or computers.

The Ray-Ban Display comes with a colour lens screen for video calls and messaging and a 12-megapixel camera, and will sell for $799. It can be paired with a neural wristband that enables tasks through hand gestures.

Meta also presented $499 Oakley Vanguard glasses aimed at sports fans and launched a second generation of its Ray-Ban Meta glasses at $379. Around two million smart glasses have been sold since Meta entered the market in 2023.

Analysts see the glasses as a more practical way of introducing AI to everyday life than the firm’s costly Metaverse project. Yet many caution that Meta must prove the benefits outweigh the price.

Chief executive Mark Zuckerberg described the technology as a scientific breakthrough. He said it forms part of Meta’s vast AI investment programme, which includes massive data centres and research into artificial superintelligence.

The launch came as activists protested outside Meta’s New York headquarters, accusing the company of neglecting children’s safety. Former safety researchers also told the US Senate that Meta ignored evidence of harm caused by its VR products, claims the company has strongly denied.

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Microsoft podcast explores future of AI in medicine

AI is reshaping healthcare, according to experts featured in Microsoft’s new podcast series The AI Revolution in Medicine, Revisited.

Peter Lee, President of Microsoft Research, spoke with clinicians and researchers about how AI is helping doctors work more effectively and patients access better care. From note-taking during visits to accelerating drug discovery, the technology is already proving its value.

A doctor of UC San Diego Health in the US said AI helps physicians draft longer, more empathetic responses to patient messages, reducing mental strain. Meanwhile, Stanford’s Dr Roxana Daneshjou described how AI detected a dosage error in a medical summary, acting as a crucial safeguard.

Bill Gates highlighted how AI could boost healthcare in low-income regions by providing medical intelligence where doctors are scarce. Other guests suggested the technology may even blur traditional boundaries between medical specialties while accelerating drug development.

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Google launches new Windows app with AI and file search

The US tech giant, Google, has introduced a new experimental app for Windows that combines web search, file discovery and Google Lens in a single interface.

The tool, known as the Google app for Windows, is part of Search Labs and is designed to allow users to find information faster instead of interrupting their workflow.

An app that can be launched instantly using the Alt+Space shortcut, opening a Spotlight-like bar similar to Apple’s macOS. Users can search local files, installed applications, Google Drive content and web results. It supports multiple modes, including AI-generated answers, images, videos, shopping and news.

A dark mode is available for those who prefer night-time use, and the search bar can be resized or repositioned on the desktop instead of staying fixed.

Google has also built its Lens technology, allowing users to select and search images directly on screen, translate text or solve mathematical problems. An AI Mode offers detailed replies, though it can be disabled or customised through the settings menu.

The experimental app is currently limited to English-speaking users in the US and requires Windows 10 or Windows 11. Google has not yet confirmed when it will expand availability to more regions.

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Guide from MIT reveals how small AI models can predict performance of large LLMs

MIT-IBM Watson AI Lab researchers have developed a universal guide for estimating how large language models will perform based on smaller models in the same family.

Scaling law estimation helps organisations make better decisions about architecture, optimisers and dataset sizes before devoting extensive compute budgets.

The team assembled over 485 pre-trained models across 40 families (including Pythia, OPT, Bloom, LLaMA and others) and tracked almost 1.9 million performance metrics. Using that dataset, they fit more than 1,000 scaling laws and assessed variables such as the number of parameters, the token count, intermediate training checkpoints, and seed effects.

Practical recommendations include discarding training data from very early stages (before about 10 billion tokens), using several small models across sizes rather than only large ones, and using intermediate checkpoints rather than waiting for final model loss.

The guide also notes that a 4 percent absolute relative error (ARE) is near best-case for prediction quality, though up to 20 percent ARE remains useful depending on budget.

Because training large models can cost millions, these scaling laws also help those without huge resources to approximate outcomes more safely. AI model inference scaling laws are still under development and are flagged as important future work.

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AI reforms in Hong Kong expected to save millions in public services

Hong Kong will establish a new team to advance the use of AI across government departments, Chief Executive John Lee confirmed during his 2025 Policy Address.

The AI Efficacy Enhancement Team, led by Deputy Chief Secretary Warner Cheuk, will coordinate reforms to modernise outdated processes and promote efficiency.

Lee said his administration would focus on safe ‘AI+ development’, applying the technology in public services and encouraging adoption across different sectors instead of relying on traditional methods.

He added that Hong Kong had the potential to grow into a global hub for AI and would treat the field as a core industry for the city’s economic future.

Examples of AI adoption are already visible.

The government’s 1823 enquiry hotline uses voice recognition to cut response times by 30 per cent, while the Census and Statistics Department applies AI models to trade data and company reports, reducing manual checks by 40 per cent and improving accuracy.

Authorities expect upcoming censuses in 2026 and 2031 to save about $680 million through AI and data science technologies instead of conventional manpower-heavy methods.

The announcement comes shortly after China unveiled its national AI policy blueprint, which seeks widespread integration of the technology in research, governance and industry, with a target of 90 per cent prevalence by 2030.

Hong Kong’s approach is being positioned as part of a wider push for technological leadership in the region.

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Business Insider says journalists may use AI to draft stories

Business Insider has issued a memo saying journalists may use AI to help draft stories, while making it clear that authors remain fully responsible for what is published under their names.

The guidelines define what kinds of AI use are permitted, such as assisting with research or generating draft text, but stress that final edits, fact-checking, and the author’s voice must be preserved.

Some staff welcomed the clarity after months of uncertainty, saying the new policy could help speed up routine work. Others raised concerns about preserving editorial quality and resisting over-reliance on AI for creativity or original insight.

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Google launches AI protocol for digital payments

Google has unveiled the Agent Payments Protocol (AP2), a new system enabling AI applications to send and receive payments, including stablecoins pegged to traditional currencies.

Developed with Coinbase, the Ethereum Foundation, and over 60 other finance and technology firms, AP2 aims to standardise transactions between AI agents and merchants.

The protocol builds on Google’s earlier Agent2Agent framework, extending it to financial interactions. AP2 supports credit and debit cards, bank transfers, and stablecoins, providing a secure and compliant foundation for automated payments.

By introducing a shared language for AI-led transactions, the system addresses risks linked to authorisation, authenticity, and accountability without human intervention.

The project reflects growing interest in stablecoins, whose circulation recently rose to $289 billion from $205 billion at the start of the year. Integrating stablecoins into AI could change how automated systems manage payments, from daily purchases to complex financial tasks.

Google and its collaborators emphasise AP2’s goal of interoperability across industries, offering flexibility, compliance, and scalability. The initiative makes digital money central to AI, signalling a shift in automated financial transactions.

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New YouTube AI features make Shorts faster and smarter

YouTube has unveiled a new suite of AI tools designed to enhance the creation of Shorts, with its headline innovation being Veo 3 Fast, a streamlined version of Google DeepMind’s video model.

A system that can generate 480p clips with sound almost instantly, marking the first time audio has been added to Veo-generated Shorts. It is already being rolled out in the US, the UK, Canada, Australia and New Zealand, with other regions to follow instead of a limited release.

The platform also introduced several advanced editing features, such as motion transfer from video to still images, text-based styling, object insertion and Speech to Song Remixing, which converts spoken dialogue into music through DeepMind’s Lyria 2 model.

Testing will begin in the US before global expansion.

Another innovation, Edit with AI, automatically assembles raw footage into a rough cut complete with transitions, music and interactive voiceovers. YouTube confirmed the tool is in trials and will launch in select markets within weeks instead of years.

All AI-generated Shorts will display labels and watermarks to maintain transparency, as YouTube pushes to expand creator adoption and boost Shorts’ growth as a rival to TikTok and Instagram Reels.

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Tencent launches scenario-based AI globally to boost industrial efficiency

Tencent has announced the global rollout of scenario-based AI capabilities to help enterprises accelerate industrial efficiency. At its 2025 Global Digital Ecosystem Summit, held in Shenzhen, the company introduced its Agent Development Platform 3.0 (ADP) via Tencent Cloud.

ADP enables businesses to generate autonomous AI agents that can be integrated into workflows, including customer service, marketing, inventory management, and research.

Tencent is also upgrading its internal models and infrastructure, such as ‘Agent Runtime’, to support stable, secure, and business-aligned agent deployment.

Other new tools include the SaaS+AI toolkit, which enhances productivity in office collaboration (for example, AI Minutes in Tencent Meetings) and knowledge management via Tencent LearnShare. A coding assistant called CodeBuddy is claimed to reduce developers’ coding time by 40 percent while increasing R&D efficiency by about 16 percent.

In line with its international expansion, Tencent Cloud announced that its overseas client base has doubled since last year and that it now operates across over 20 regions.

The rollout also includes open-source contributions: multilingual translation models, large multimodal models, and new Hunyuan 3D creative tools have been made available globally.

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US Army puts cybersecurity at the heart of transformation

Cybersecurity is a critical element of the US Army’s ongoing transformation and of wider national efforts to safeguard critical infrastructure, according to Brandon Pugh, Principal Cyber Adviser to the Secretary of the Army. Speaking at the Billington CyberSecurity Summit on 11 September, Pugh explained that the Army’s Continuous Transformation initiative is intended to deliver advanced technologies to soldiers more rapidly, ensuring readiness for operational environments where cybersecurity underpins every aspect of activity, from base operations to mobilisation.

Pugh took part in the panel where he emphasised that defending the homeland remains a central priority, with the Army directly affected by vulnerabilities in privately owned critical infrastructure such as energy and transport networks. He referred to research conducted by the Army Cyber Institute at the US Military Academy at West Point, which analyses how weaknesses in infrastructure could undermine the Army’s ability to project forces in times of crisis or conflict.

The other panellists agreed that maintaining strong basic cyber hygiene is essential. Josh Salmanson, Vice President for the Defence Cyber Practice at Leidos, underlined the importance of measures such as timely patching, reducing vulnerabilities, and eliminating shared passwords, all of which help to reduce noise in networks and strengthen responses to evolving threats.

The discussion also considered the growing application of AI in cyber operations. Col. Ivan Kalabashkin, Deputy Head of Ukraine’s Security Services Cyber Division reported that Ukraine has faced more than 13,000 cyber incidents directed at government and critical infrastructure systems since the start of the full-scale war, noting that Russia has in recent months employed AI to scan for network vulnerabilities.

Pugh stated that the Army is actively examining how AI can be applied to enhance both defensive and potentially offensive cyber operations, pointing to significant ongoing work within Army Cyber Command and US Cyber Command.

Finally, Pugh highlighted the Army’s determination to accelerate the introduction of cyber capabilities, particularly from innovative companies offering specialist solutions. He stressed the importance of acquisition processes that enable soldiers to test new capabilities within weeks, in line with the Army’s broader drive to modernise how it procures, evaluates, and deploys technology.

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