Cybersecurity

China’s Unitree reveals next-generation humanoid ahead of major IPO

Unitree Robotics has unveiled its most lifelike humanoid robot to date, marking a bold step forward in the country’s rapidly advancing robotics industry.

The new H2 humanoid model, showcased in a short social media video, demonstrated remarkable agility and expressiveness, performing intricate dance moves with striking humanlike grace.

The 180cm-tall, 70kg robot features a silver face with defined eyes, lips and nose, alongside the tagline ‘Destiny Awakening – born to serve everyone safely and friendly’.

A model that represents the company’s growing ambition as it prepares for a mainland listing valued at around US$7 billion.

Unitree’s progress underscores the growing strength of China in humanoid robotics, a field increasingly dominated by domestic innovation and manufacturing capabilities.

As global competition intensifies, the company aims to position itself at the forefront of human-robot interaction and industrial automation.

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Startup raises $9m to orchestrate Gulf digital infrastructure

Bilal Abu-Ghazaleh has launched 1001 AI, a London–Dubai startup building an AI-native operating system for critical MENA industries. The two-month-old firm raised $9m seed from CIV, General Catalyst and Lux Capital, with angels including Chris Ré, Amjad Masad and Amira Sajwani.

Target sectors include airports, ports, construction, and oil and gas, where 1001 AI sees billions in avoidable inefficiencies. Its engine ingests live operational data, models workflows and issues real-time directives, rerouting vehicles, reassigning crews and adjusting plans autonomously.

Abu-Ghazaleh brings scale-up experience from Hive AI and Scale AI, where he led GenAI operations and contributor networks. 1001 borrows a consulting-style rollout: embed with clients, co-develop the model, then standardise reusable patterns across similar operational flows.

Investors argue the Gulf is an ideal test bed given sovereign-backed AI ambitions and under-digitised, mission-critical infrastructure. Deena Shakir of Lux says the region is ripe for AI that optimises physical operations at scale, from flight turnarounds to cargo moves.

First deployments are slated for construction by year-end, with aviation and logistics to follow. The funding supports early pilots and hiring across engineering, operations and go-to-market, as 1001 aims to become the Gulf’s orchestration layer before expanding globally.

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AWS outage shows the cost of cloud concentration

A single fault can bring down the modern web. During the outage on Monday, 20 October 2025, millions woke to broken apps, games, banking, and tools after database errors at Amazon Web Services rippled outward. When a shared backbone stumbles, the blast radius engulfs everything from chat to commerce.

The outage underscored cloud concentration risk. Roblox, Fortnite, Pokémon Go, Snapchat, and workplace staples like Slack and Monday.com stumbled together because many depend on the same region and data layer. Failover, throttling, and retries help, but simultaneous strain can swamp safeguards.

On Friday, 19 July 2024, a faulty CrowdStrike update crashed Windows machines worldwide, triggering blue screens that grounded flights, delayed surgeries, and froze point-of-sale systems. The fix was simple; recovery wasn’t. Friday patches gained a new cautionary tale.

Earlier shocks foreshadowed today’s scale. In 1997, a Network Solutions glitch briefly hobbled .com and .net. In 2018, malware in Alaska’s Matanuska-Susitna knocked services offline, sending a community of 100,000 back to paper. Each incident showed how mundane errors cascade into civic life.

Resilience now means multi-region designs, cross-cloud failovers, tested runbooks, rate-limit backstops, and graceful read-only modes. Add regulatory stress tests, clear incident comms, and sector drills with hospitals, airlines, and banks. The internet will keep breaking; our job is to make it bend.

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SMEs underinsured as Canada’s cyber landscape shifts

Canada’s cyber insurance market is stabilising, with stronger underwriting, steadier loss trends, and more product choice, the Insurance Bureau of Canada says. But the threat landscape is accelerating as attackers weaponise AI, leaving many small and medium-sized enterprises exposed and underinsured.

Rapid market growth brought painful losses during the ransomware surge: from 2019 to 2023, combined loss ratios averaged about 155%, forcing tighter pricing and coverage. Insurers have recalibrated, yet rising AI-enabled phishing and deepfake impersonations are lifting complexity and potential severity.

Policy is catching up unevenly. Bill C-8 in Canada would revive critical-infrastructure cybersecurity standards, stronger oversight, and baseline rules for risk management and incident reporting. Public–private programmes signal progress but need sustained execution.

SMEs remain the pressure point. Low uptake means minor breaches can cost tens or hundreds of thousands, while severe incidents can be fatal. Underinsurance shifts shock to the wider economy, challenging insurers to balance affordability with long-term viability.

The Bureau urges practical resilience: clearer governance, employee training, incident playbooks, and fit-for-purpose cover. Education campaigns and free guidance aim to demystify coverage, boost readiness, and help SMEs recover faster when attacks hit, supporting a more durable digital economy.

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AI-generated images used in jewellery scam

A jeweller in Hove is dealing with daily complaints from customers of a similarly named but fraudulent business. Stevie Holmes runs Scarlett Jewellery but keeps receiving complaints from customers who confused it with the AI-driven Scarlett Jewels website.

Many reported receiving poor-quality goods or nothing at all.

Holmes said the mix-ups have kept her occupied for at least an hour a day since July. Without clarification, people could post negative comments about her genuine business on social media, potentially damaging its reputation.

Scarlett Jewels is run by Denimtex Limited with an address in Hong Kong, though its website claims a personal story of a retiring designer.

Experts say such scams are increasingly common due to how easy and cheap it is to create AI images. Professor Ana Canhoto from the University of Sussex noted AI-generated product photos often appear too perfect or flawed, while fake reviews and claims of scarcity are typical tactics to mislead buyers.

Trustpilot ratings for Scarlett Jewels are mostly one star, with customers describing items as ‘tat’ or ‘poor quality’.

Authorities are taking action, with the Advertising Standards Authority banning similar ads and Facebook restricting Scarlett Jewels from creating new adverts. Buyers are advised to spot off AI images, large discounts, and genuine reviews to avoid falling for scams.

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Bitcoin wallet vulnerability exposes thousands of private keys

A flaw in the widely used Libbitcoin Explorer (bx) 3.x series has exposed over 120,000 Bitcoin private keys, according to crypto wallet provider OneKey. The flaw arose from a weak random number generator that used system time, making wallet keys predictable.

Attackers aware of wallet creation times could reconstruct private keys and access funds.

Several wallets were affected, including versions of Trust Wallet Extension and Trust Wallet Core prior to patched releases. Researchers said the Mersenne Twister-32’s limited seed space let hackers automate attacks and recreate private keys, possibly causing past fund losses like the ‘Milk Sad’ cases.

OneKey confirmed its own wallets remain secure, using cryptographically strong random number generation and hardware Secure Elements certified to global security standards.

OneKey also examined its software wallets, ensuring that desktop, browser, Android, and iOS versions rely on secure system-level entropy sources. The firm urged long-term crypto holders to use hardware wallets and avoid importing software-generated mnemonics to reduce risk.

The company emphasised that wallet security depends on the integrity of the device and operating environment.

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Tailored pricing is here and personal data is the price signal

AI is quietly changing how prices are set online. Beyond demand-based shifts, companies increasingly tailor offers to individuals, using browsing history, purchase habits, device, and location to predict willingness to pay. Two shoppers may see different prices for the same product at the same moment.

Dynamic pricing raises or lowers prices for everyone as conditions change, such as school-holiday airfares or hotel rates during major events. Personalised pricing goes further by shaping offers for specific users, rewarding cart-abandoners with discounts while charging rarer shoppers a premium.

Platforms mine clicks, time on page, past purchases, and abandoned baskets to build profiles. Experiments show targeted discounts can lift sales while capping promo spend, proving engineered prices scale. The result: you may not see a ‘standard’ price, but one designed for you.

The risks are mounting. Income proxies such as postcode or device can entrench inequality, while hidden algorithms erode trust when buyers later find cheaper prices. Accountability is murky if tailored prices mislead, discriminate, or breach consumer protections without clear disclosure.

Regulators are moving. A competition watchdog in Australia has flagged transparency gaps, unfair trading risks, and the need for algorithmic disclosure. Businesses now face a twin test: deploy AI pricing with consent, explainability, and opt-outs, and prove it delivers value without crossing ethical lines.

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Meta champions open hardware to power the next generation of AI data centres

The US tech giant, Meta, believes open hardware will define the future of AI data centre infrastructure. Speaking at the Open Compute Project Global Summit, the company outlined a series of innovations designed to make large-scale AI systems more efficient, sustainable, and collaborative.

Meta, one of the OCP’s founding members, said open source hardware remains essential to scaling the physical infrastructure required for the next generation of AI.

During the summit, Meta joined industry peers in supporting OCP’s Open Data Center Initiative, which calls for shared standards in power, cooling, and mechanical design.

The company also unveiled a new generation of network fabrics for AI training clusters, integrating NVIDIA’s Spectrum Ethernet to enable greater flexibility and performance.

As part of the effort, Meta became an initiating member of Ethernet for Scale-Up Networking, aiming to strengthen connectivity across increasingly complex AI systems.

Meta further introduced the Open Rack Wide (ORW) form factor, an open source data rack standard optimised for the power and cooling demands of modern AI.

Built on ORW specifications, AMD’s new Helios rack was presented as the most advanced AI rack yet, embodying the shift toward interoperable and standardised infrastructure.

Meta also showcased new AI hardware platforms built to improve performance and serviceability for large-scale generative AI workloads.

Sustainability remains central to Meta’s strategy. The company presented ‘Design for Sustainability’, a framework to reduce hardware emissions through modularity, reuse, and extended lifecycles.

It also shared how its Llama AI models help track emissions across millions of components. Meta said it will continue to

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NVIDIA and TSMC celebrate first US-made Blackwell AI chip

A collaboration between NVIDIA and TSMC has marked a historic milestone with the first NVIDIA Blackwell wafer produced on US soil.

The event, held at TSMC’s facility in Phoenix, symbolised the start of volume production for the Blackwell architecture and a major step toward domestic AI chip manufacturing.

NVIDIA’s CEO Jensen Huang described it as a moment that brings advanced technology and industrial strength back to the US.

A partnership that highlights how the companies aim to strengthen the US’s semiconductor supply chain by producing the world’s most advanced chips domestically.

TSMC Arizona will manufacture next-generation two-, three- and four-nanometre technologies, crucial for AI, telecommunications, and high-performance computing. The process transforms raw wafers through layering, etching, and patterning into the high-speed processors driving the AI revolution.

TSMC executives praised the achievement as the result of decades of partnership with NVIDIA, built on innovation and technical excellence.

Both companies believe that local chip production will help meet the rising global demand for AI infrastructure while securing the US’s strategic position in advanced technology manufacturing.

NVIDIA also plans to use its AI, robotics, and digital twin platforms to design and manage future American facilities, deepening its commitment to domestic production.

The companies say their shared investment signals a long-term vision of sustainable innovation, industrial resilience, and technological leadership for the AI era.

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UK government urges awareness as £106m lost to romance fraud in one year

Romance fraud has surged across the United Kingdom, with new figures showing that victims lost a combined £106 million in the past financial year. Action Fraud, the UK’s national reporting centre for cybercrime, described the crime as one that causes severe financial, emotional, and social damage.

Among the victims is London banker Varun Yadav, who lost £40,000 to a scammer posing as a romantic partner on a dating app. After months of chatting online, the fraudster persuaded him to invest in a cryptocurrency platform.

When his funds became inaccessible, Yadav realised he had been deceived. ‘You see all the signs, but you are so emotionally attached,’ he said. ‘You are willing to lose the money, but not the connection.’

The Financial Conduct Authority (FCA) said banks should play a stronger role in disrupting romance scams, calling for improved detection systems and better staff training to identify vulnerable customers. It urged firms to adopt what it called ‘compassionate aftercare’ for those affected.

Romance fraud typically involves criminals creating fake online profiles to build emotional connections before manipulating victims into transferring money.

The National Cyber Security Centre (NCSC) and UK police recommend maintaining privacy on social media, avoiding financial transfers to online contacts, and speaking openly with friends or family before sending money.

The Metropolitan Police recently launched an awareness campaign featuring victim testimonies and guidance on spotting red flags. The initiative also promotes collaboration with dating apps, banks, and social platforms to identify fraud networks.

Detective Superintendent Kerry Wood, head of economic crime for the Met Police, said that romance scams remain ‘one of the most devastating’ forms of fraud. ‘It’s an abuse of trust which undermines people’s confidence and sense of self-worth. Awareness is the most powerful defence against fraud,’ she said.

Although Yadav never recovered his savings, he said sharing his story helped him rebuild his life. He urged others facing similar scams to speak up: ‘Do not isolate yourself. There is hope.’

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