Microsoft is changing how OneDrive handles deleted files, removing a long-standing fallback that many users rely on without realising it and increasing the risk of accidental data loss across synced devices.

What Has Changed In OneDrive?

Although the change is straightforward, it is also significant, because when a file is deleted from the OneDrive website, mobile app, or another synced device, it will no longer appear in the local Recycle Bin on a Windows PC or the Trash on a Mac.

Instead, the file is removed directly from the local device and can only be recovered from the OneDrive web-based recycle bin, which applies even if the file was previously available offline on that device.

Files deleted locally on the computer will continue to behave as expected and appear in the Recycle Bin, with the key difference being where the deletion is initiated, because if it starts in the cloud, the local recovery route no longer exists.

For most users, this represents a change in behaviour rather than a change in capability, and that distinction is exactly where the risk begins.

Why Is Microsoft Making This Change To OneDrive?

Microsoft’s reasoning seems to be focused on performance and consistency, as OneDrive usage has expanded, particularly in business environments with large file libraries and multiple synced devices, making it more complex to manage file state across locations.

By removing the local Recycle Bin step for cloud-initiated deletions, OneDrive can process changes faster and avoid maintaining duplicate recovery paths, meaning that instead of files appearing in multiple locations depending on how they were deleted, there is now a single, central recovery point in the OneDrive recycle bin.

From a system design perspective, this seems to make some sense, as it could simplify synchronisation, reduce overhead, and create a more predictable model for file recovery.

However, what works from an engineering perspective does not always align with how people actually use technology in practice.

The Risk

The core issue is not the removal of recovery altogether but the removal of a familiar and highly visible fallback that users have come to rely on.

For many people, the Recycle Bin is an instinctive fallback, because if something is deleted by mistake, the first place they look is the desktop bin, a behaviour that has been consistent across Windows systems for decades and is deeply ingrained.

However, under the new model, that is no longer true for cloud-initiated deletions, as a file removed via a mobile app or web browser will not appear locally, which can create confusion and delay recovery, particularly if users do not realise the change has taken place.

This is the kind of thing that happens in day-to-day use. For example, a quick deletion on a phone, a shared file removed by a colleague, or a mistaken action in the browser can now bypass the local recovery point entirely, even though in each case the file still exists in the OneDrive recycle bin, but only if the user knows to look there.

Without that awareness, the perceived loss can quickly become a real one, especially if recovery windows expire or if users assume the file has already been permanently deleted.

Operational Impact For Organisations

For organisations, the impact is less about the technical change itself and more about how it alters day-to-day processes around file management and recovery.

From a compliance perspective, UK GDPR and broader data protection responsibilities remain unchanged, meaning organisations are still accountable for ensuring that data can be recovered when needed, even though the route to recovery has changed.

Support teams are likely to see an increase in queries where users cannot find deleted files in expected locations, particularly in the early stages of rollout. Helpdesk processes that previously relied on guiding users to the local Recycle Bin will need to be updated to reflect the correct recovery path through the OneDrive web interface.

There is also a clear training requirement, as users need to understand that the method used to delete a file now determines how it must be recovered. Without that clarity, simple mistakes are more likely to escalate into avoidable support incidents.

Policies and internal documentation should also be reviewed to ensure that any references to local recovery for OneDrive files are accurate, especially in environments with remote working and multiple devices.

Reducing The Risk In Practice

Managing this change effectively comes down to awareness, process, and control.

Users should be informed clearly that cloud-initiated deletions bypass the local Recycle Bin and that recovery must be carried out through OneDrive itself, which is a simple message but one that can prevent a large number of avoidable issues.

Organisations may also want to review retention settings, particularly in business environments where the default 93-day recycle bin period can be adjusted, while extending retention or implementing additional backup solutions can provide an extra layer of protection.

From a technical standpoint, ensuring that version history and backup policies are in place becomes even more important, as the removal of one recovery route increases reliance on others, and those systems need to be robust and well understood.

A Small Change With Wider Implications

This update to OneDrive is a good example of how relatively small technical changes can have disproportionate real-world impact. The functionality to recover deleted files still exists, but the way users access it has changed, and that is enough to introduce risk.

For businesses, the key takeaway is that data protection is not just about systems and policies, but also about how people interact with them. When familiar behaviours are disrupted, even for valid technical reasons, the gap between expectation and reality is where problems tend to emerge.

Organisations that recognise this early and adapt their guidance, support, and controls accordingly will be far better placed to avoid unnecessary data loss and maintain confidence in how their information is managed.

What Does This Mean For Your Business?

For UK businesses, the bigger issue is not the technical change itself but how easily it can create a gap between how systems behave and what users expect to happen.

When a familiar behaviour changes without being widely understood, the risk increases because people continue to act on old assumptions, particularly in fast, everyday situations where files are deleted quickly and without much thought.

This is where data loss risk begins to build, not through system failure, but through misunderstanding, delay, and missed recovery opportunities.

The key response is to take control of that gap. Businesses that clearly communicate how file deletion now works, reinforce the correct recovery process, and ensure appropriate backup and retention measures are in place will be far better positioned to avoid unnecessary disruption.

This story serves as a reminder that cloud platforms continue to evolve in ways that can subtly change risk profiles, and organisations that actively monitor and adapt to those changes will be better placed to protect both their data and their day-to-day operations.

Social media restrictions for under-16s are moving closer to reality in the UK as ministers commit to action following a major consultation, signalling a significant change in how young people access digital platforms.

Why The UK Is Moving Towards Social Media Restrictions

The UK government has made it clear that some form of restriction on social media use for under-16s will be introduced, even if a full ban is not adopted, with ministers now focused on deciding how those measures should work in practice.

This change comes after growing concern about the impact of social media on children’s mental health, behaviour, and safety, alongside mounting political pressure from campaigners, parents, and members of Parliament. The Children’s Wellbeing and Schools Bill is central to this process, as it gives ministers the power to introduce restrictions through regulation rather than requiring entirely new legislation.

The consultation, which closes later this month, is designed to gather evidence on what combination of measures would be most effective, with ministers emphasising that the objective is not simply to act quickly but to ensure that any changes are workable and enforceable at scale, and that the approach should be “evidence-led, with input from independent experts” .

What Type Of Restrictions Are Being Considered?

Rather than focusing solely on an outright ban, the government is currently exploring a range of targeted interventions aimed at reducing harm while preserving some level of access.

One key area is the design of platforms themselves, with proposals to limit or remove features that encourage prolonged use, such as infinite scrolling, autoplay, and algorithm-driven content feeds. These features have come under increasing scrutiny for keeping users engaged for extended periods, often without clear stopping points.

Age verification is another major focus, with stronger enforcement expected to play a central role in any future framework, particularly given evidence that many children already bypass existing age limits by registering with false dates of birth.

The consultation is also examining the potential for time-based controls, including overnight curfews, as well as restrictions on access to AI chatbots and other emerging technologies that may expose children to inappropriate or harmful interactions, as part of a broader effort “to examine the most effective ways to ensure that children have ‘healthy online experiences’” .

Taken together, these measures point to a more granular approach, where specific features and behaviours are regulated rather than applying a single blanket rule across all platforms.

The Evidence Driving The Debate

The policy push is underpinned by a growing body of data and research highlighting both the scale of social media use among young people and the risks associated with it.

For example, recent figures show that social media use is nearly universal among teenagers, with around 95 per cent of 13 to 15-year-olds actively using platforms and the vast majority holding their own accounts. At the same time, a significant proportion of children report exposure to harmful or distressing content, including material linked to self-harm, bullying, and unrealistic body image expectations.

The Online Safety Act 2023 already requires platforms to take steps to protect children from harmful content, including enforcing age limits and removing illegal material. However, ongoing enforcement actions and investigations suggest that compliance has been uneven and that further intervention may be needed to achieve meaningful improvements.

Concerns have also been raised about the underlying design of platforms, particularly features that drive prolonged engagement, with policymakers pointing to risks from “design features that encourage them to spend more time on screens, while also serving up content that can harm their health and wellbeing” .

How Other Countries Are Approaching The Issue

Several countries have already introduced or are actively considering similar restrictions to the ones the UK is now considering.

For example, Australia has taken the most direct approach, introducing a nationwide ban on social media access for under-16s, with platforms required to take reasonable steps to prevent children from creating or maintaining accounts. Early enforcement efforts led to millions of accounts being removed, demonstrating that large-scale intervention is technically possible, although questions remain about long-term effectiveness and circumvention.

Spain has signalled its intention to follow a similar path, while France has already introduced measures requiring parental consent for younger users and is exploring tighter controls. Across the European Union, regulators have also focused on platform design, with actions taken against companies over addictive features and insufficient child protection measures.

These international examples highlight how governments are increasingly willing to intervene directly in platform access, and how enforcement and user behaviour remain challenging, particularly where young people find alternative routes to access services.

What Challenges Still Need To Be Addressed

Implementing effective restrictions is likely to prove complex, particularly given the global nature of social media platforms and the ease with which users can bypass controls.

Age verification remains one of the most difficult issues, as systems must be robust enough to prevent misuse while also protecting user privacy and remaining practical for widespread adoption. Even with improved verification methods, there is a risk that children will migrate to less regulated platforms or use shared accounts to maintain access.

There are also broader questions about how restrictions might affect positive uses of social media, including communication, education, and community building, particularly for young people who rely on online spaces for support and connection.

These competing factors explain why the government has opted for a consultation-led approach, aiming to balance safety, practicality, and unintended consequences before finalising its strategy.

What Does This Mean For Your Business?

For UK businesses, the immediate impact will depend on how directly they interact with younger audiences, but the broader implications extend well beyond youth-focused platforms.

Changes to social media regulation are likely to influence how digital platforms operate more widely, particularly in areas such as content moderation, user verification, and the design of engagement features. Businesses that rely on social media for marketing, customer engagement, or recruitment may see shifts in platform behaviour, audience reach, and compliance requirements over time.

Stronger age verification and feature restrictions could also affect advertising strategies, especially where campaigns currently reach mixed-age audiences, requiring more careful targeting and clearer segmentation.

There is also a wider regulatory signal that digital products are increasingly being judged not just on functionality and growth, but on their impact on users, particularly vulnerable groups. This trend is already visible in areas such as data protection and online safety, and it is likely to extend further as governments respond to public concern about digital harms.

Organisations involved in technology, digital services, education, or safeguarding should be paying close attention, as the outcome of this consultation will help shape the next phase of UK digital regulation. Businesses that understand how these changes affect platform design, user behaviour, and compliance expectations will be better placed to adapt as new rules are introduced and enforced.

Lidl is expanding into mobile phone plans through a new global partnership, using its scale and loyalty app to offer low-cost, flexible connectivity without traditional contracts.

Why Lidl Is Moving Into Mobile

Lidl’s move into telecommunications is built on a strategic partnership with 1GLOBAL, which gives the retailer the technical platform and regulatory framework needed to operate as a Mobile Virtual Network Operator, or MVNO. This means Lidl can offer mobile services without building its own network, instead using existing infrastructure while focusing on pricing, customer access, and digital delivery.

The company is positioning this as a response to a clear customer need for “easily accessible, flexible, and affordable connectivity of the highest quality without long-term contract commitments”. That focus aligns closely with Lidl’s broader retail model, where simplicity, price transparency, and convenience are central to how it competes.

This is not Lidl’s first step into mobile, as it already operates Lidl Connect in several European markets, but the new partnership significantly expands its ambitions, both geographically and technically.

How Lidl’s New Mobile Offering Works

The most notable aspect of Lidl’s approach is how tightly the service is integrated into its existing ecosystem. For example, rather than just launching as a standalone telecom brand, the new plans will be delivered primarily through the Lidl Plus app, which already has tens of millions of users across Europe.

Within that environment, customers will be able to purchase and manage mobile plans digitally, often using eSIM technology, with no need for physical SIM cards or long-term commitments. Lidl describes this as part of a broader effort to make mobile services “simple, digital, and affordable” for a mass audience.

Julian Beer, Executive Vice President at Lidl International, framed the ambition clearly, stating: “We are democratizing mobile communications. Simple, affordable, and of the highest quality.”

The app-led model also allows Lidl to control the customer relationship directly, rather than relying on traditional retail channels or third-party distributors, which could help reduce costs while increasing customer loyalty.

A Different Approach To Telecom Competition

Lidl’s strategy stands out because it is not trying to compete as a conventional telecom provider. Instead, it is using its existing retail scale, customer base, and digital platform to enter the market from a different angle.

With more than 100 million customers and a presence in over 30 countries, Lidl is effectively turning its loyalty ecosystem into a distribution channel for telecom services. As the company notes, “we are creating an attractive platform for established telecommunications companies” by combining reach, data, and customer engagement.

This model also benefits network operators, which gain additional usage and customer access without having to manage the end-user relationship directly.

Hakan Koç, founder and CEO of 1GLOBAL, highlighted this broader transformation, saying: “We want to make mobile communications as intuitive, flexible, and digital as possible for millions of people.”

How This Compares To Existing UK Mobile Offers

The timing of Lidl’s expansion comes as existing UK mobile providers are already adjusting their pricing and plan structures.

For example, Asda Mobile has recently removed its cheapest 5GB plan priced at £4.50, while slightly reducing the price of its 10GB plan to £5.95 per month. It has introduced new mid-range options, including 50GB for £7.95 and 80GB for £9.50, while increasing the price of its 100GB plan from £10 to £12. These changes apply to 12-month and 24-month contracts, although the company has confirmed there will be no mid-contract price rises.

This highlights a key contrast. Traditional MVNOs like Asda Mobile continue to operate within a familiar structure of fixed plans, contract terms, and tiered pricing. Lidl, by comparison, is moving towards a more flexible, app-based model with short-term or no-contract options, which could appeal to customers who want greater control and fewer commitments.

What Could Hold Lidl Back?

Despite the scale and ambition behind the move, several challenges remain.

Customer trust will be a factor, particularly when it comes to relying on a supermarket brand for a critical service like mobile connectivity. Network quality will depend on local operator partnerships, meaning the experience may vary between regions.

There is also the question of how widely the service will be rolled out, and whether key markets like the UK will be included in the first phase. While Lidl’s reach is significant, telecom markets are heavily regulated and highly competitive, which could slow expansion.

The app-only model, while efficient, may also limit access for customers who prefer more traditional purchasing methods or who are less comfortable managing services digitally.

What Does This Mean For Your Business?

For UK businesses, the immediate impact may be limited, but the wider development matters more than the product itself. Retailers using digital platforms and existing customer ecosystems to enter telecoms shows a clear change in how connectivity is being delivered and sold.

This development shows how industries are increasingly overlapping, with companies using data, apps, and customer relationships to expand into adjacent markets. Businesses that rely on mobile connectivity, whether for staff, operations, or customer engagement, may benefit from more flexible and potentially lower-cost options as competition increases.

There are also implications for customer expectations. As more services move towards app-based, contract-free models, users may begin to expect the same level of simplicity and control across other digital services.

At the same time, the entry of large retailers into telecoms adds pressure to existing providers, which could accelerate changes in pricing, service structure, and customer experience. Businesses that stay aware of these changes will be better placed to take advantage of new options as they emerge, while also understanding how evolving customer expectations could affect their own digital services and offerings.

OpenAI-backed 1X Technologies has opened a California factory to build its NEO humanoid robot at scale, marking one of the clearest attempts yet to move home robots from futuristic demos into real consumer use.

Why 1X Is Scaling Home Robots Now

1X Technologies, a Norway-founded robotics company now based in California, has opened a 58,000 sq ft factory in Hayward with capacity to build up to 10,000 NEO robots a year, with plans to scale towards more than 100,000 units annually by the end of 2027. The company says demand has already been strong, stating that it “booked out our entire production capacity for the next year in just 5 days (10,000 NEOs).”

NEO is designed as a general-purpose home robot rather than a factory machine, with 1X positioning it as a household assistant that can learn tasks, move safely around people, and provide conversational support. Early access pricing has been reported at $20,000, with a subscription option around $499 per month, placing it firmly in early-adopter territory rather than the mainstream consumer market.

What Makes This Factory So Important

The significance of the Hayward factory lies in 1X’s attempt to control more of the robot’s production process in-house, rather than relying mainly on external suppliers. The company describes the site as “America’s first vertically integrated high-volume humanoid robot factory,” producing key components including motors, batteries, structures, transmission systems, sensors, and soft materials.

That matters because humanoid robots are still changing quickly. Manufacturing components internally should allow 1X to test, redesign, and improve parts faster as real-world feedback comes in from internal testing and early customers. As 1X puts it, “Most people think humanoids are a robotics problem. They’re wrong. It’s a manufacturing problem. Production makes prototypes look easy.”

Why Home Robots Are So Difficult To Build

Building a robot that can work in a private home is much harder than building one for a controlled factory floor. Homes are unpredictable, with different layouts, furniture, lighting, pets, children, clutter, and daily routines that do not follow a fixed industrial pattern.

1X appears to recognise that challenge, stating that “there is a lot that goes into creating the first ever humanoid consumer product experience” and that the product must be tested, improved, and packaged for customers who have “paid good money for a life-changing experience.” The company has also said, “We promised the first NEOs would ship in 2026, and we’re keeping that promise.”

The Competitive Landscape

The market around 1X is becoming crowded, with Tesla, Figure AI, Agility Robotics, Apptronik, Unitree, Agibot, UBTech, and others all developing humanoid robots for different use cases. Tesla’s Optimus is probably the most high-profile rival, but it is still primarily being tested inside Tesla’s own operations rather than sold broadly to consumers.

Agility Robotics’ Digit is already focused more clearly on logistics and warehouse work, while Figure AI has been targeting industrial and commercial deployments with partners such as BMW. Chinese companies including Unitree and UBTech are also moving quickly, often with lower-cost robots and strong manufacturing capacity, though many are aimed more at research, demonstration, or industrial use than general household assistance.

What makes 1X different is its consumer-first positioning. While many competitors are starting with factories, warehouses, or enterprise environments where tasks are more predictable, 1X is trying to put humanoid robots directly into homes, which could be more transformative but also much harder to make reliable.

What This Means For The Future Of Robotics

The move from prototypes to production is an important test for the whole humanoid robotics sector. Impressive videos can generate attention, but real adoption depends on whether robots can work safely, consistently, and usefully in ordinary environments.

The question is not whether NEO can perform selected tasks in controlled demonstrations. The real test is whether it can help enough in real homes to justify the cost, deal with unpredictable situations, and improve over time without frustrating users.

If 1X succeeds, home robots could begin to follow a path similar to early electric cars, starting as expensive, limited early-adopter products before becoming more capable and affordable as production improves. If it struggles, the market may move more slowly through enterprise settings before reaching the home.

What Does This Mean For Your Business?

For UK businesses, the immediate impact is not that humanoid robots will suddenly appear in every home or workplace, but that robotics is moving closer to practical deployment at scale. Organisations in care, facilities management, logistics, hospitality, retail, and property services should be watching this closely because many of the same capabilities being developed for homes could eventually apply to workplaces.

The wider business relevance sits in automation, workforce planning, and service delivery. Robots that can move safely around people, understand instructions, and handle varied physical tasks could eventually support cleaning, stock movement, basic maintenance, customer assistance, or care-related activities.

There are also important questions around safety, liability, privacy, cybersecurity, and staff acceptance. Any organisation considering robotics in future will need to understand not only what the machines can do, but how they collect data, how they are updated, who is responsible when something goes wrong, and how they fit into existing teams.

For now, 1X’s factory is less a guarantee that home robots are about to become mainstream and more a sign that the industry is entering a more serious phase. Businesses that start understanding the technology now will be better prepared if humanoid robots move from novelty to practical tool over the next few years.

Hackers are exploiting a critical flaw in cPanel and WebHost Manager that can allow full server access without logging in.

Tracked as CVE-2026-41940, the issue lets attackers bypass authentication and reach admin panels. Canada’s Cyber Centre has warned that exploitation is “highly probable” and requires immediate action.

Because cPanel is widely used by hosting providers, attackers could gain control of websites, databases, and email accounts, potentially impacting multiple businesses on shared servers.

Patches have been released, but reports suggest that exploitation attempts began as early as February, before public disclosure.

To reduce risk, businesses should ensure systems are patched, check with hosting providers, review logs for unusual activity, and restrict access to admin interfaces.

Electric air taxis have completed real-world flights over New York City, offering a glimpse of a quieter, zero-emissions alternative to short urban helicopter journeys and raising important questions about how sustainable urban transport could evolve.

Why Electric Air Taxis Are Now Flying Over New York

The recent flights are part of a structured demonstration programme led by Joby Aviation, which carried out the first point-to-point electric air taxi journeys across New York using existing heliport infrastructure. Aircraft departed from John F. Kennedy International Airport and landed at multiple Manhattan locations, effectively mapping out the routes that a future commercial service could use.

These flights were not isolated tests but part of a wider federal initiative, the eVTOL Integration Pilot Program, designed to explore how next-generation aircraft can safely operate in controlled airspace. The involvement of the Federal Aviation Administration and regional transport authorities signals that this is moving beyond experimentation and into early-stage deployment.

JoeBen Bevirt, founder and chief executive of Joby, framed the initiative in practical terms, saying, “New York has always been a city that defines the future by demanding better.” He added that the company is now showing “what the next chapter looks like: a quiet, zero operating emissions air taxi service designed to better serve New Yorkers.”

How The Technology Works

The aircraft used in these demonstrations are electric vertical take-off and landing vehicles, often referred to as eVTOLs. They lift off like a helicopter but transition into forward flight like a fixed-wing aircraft, allowing them to travel at speeds of up to around 200 miles per hour while remaining significantly quieter than traditional rotorcraft.

Each aircraft is designed to carry a pilot and four passengers and is built with multiple redundant systems to improve safety and reliability. One of the key advantages is noise reduction, with Joby stating that the aircraft’s sound profile blends into typical urban background noise rather than standing out in the way helicopters often do.

This combination of electric propulsion and reduced noise is central to the sustainability case, particularly in dense cities where both emissions and sound pollution are ongoing concerns.

The Sustainability Case Behind Urban Air Mobility

The environmental argument for electric air taxis rests on replacing short, high-impact journeys with cleaner alternatives. Traditional helicopter travel produces significant emissions and noise, especially on frequent short routes between airports and city centres.

Electric aircraft remove exhaust emissions entirely during operation, and their quieter profile opens up the possibility of wider urban use without the same level of disruption. In a city like New York, where congestion is a persistent issue, the ability to move people quickly without adding to road traffic presents a clear efficiency benefit.

Kathryn Garcia, Executive Director of the Port Authority of New York and New Jersey, highlighted the longer-term thinking behind the trials, saying, “We operate some of the busiest airports in the world, and with that comes a responsibility to think seriously about what aviation looks like in the decades ahead for our passengers, for our communities, and for the environment.”

At the same time, these benefits depend on how the wider system is implemented, including how electricity is generated and how frequently the aircraft are used at scale.

Turning A Long Journey Into Minutes

One of the most immediate advantages is speed. Joby’s aircraft can travel at speeds of up to around 200 mph, allowing journeys that typically take between 60 and 120 minutes by road to be completed in roughly seven minutes, particularly on routes such as Manhattan to JFK.

The company is also working with partners including Delta Air Lines and Uber to integrate air taxis into existing transport networks. The idea is to create “stitched” journeys where passengers combine ground transport and air travel in a single booking, rather than treating the air taxi as a standalone service.

Jeanny Pak, interim president of the New York City Economic Development Corporation, described the milestone in broader terms, stating that “the future of advanced air mobility is no longer a Jetsons-esque fantasy – it’s already here.”

What Challenges Still Need To Be Tackled

Despite the progress, several practical challenges remain before widespread adoption becomes viable. For example, certification with aviation regulators is still ongoing, and full commercial operations depend on meeting strict safety and operational standards.

Infrastructure is another limiting factor. While New York already has heliports that can be adapted, scaling the model requires investment in so-called “vertiports” and charging systems, along with careful planning around flight paths and airspace management.

Cost and accessibility will also determine whether this becomes a niche premium service or a more widely used transport option. Early indications suggest pricing may align with high-end ride services, which could limit adoption in the short term.

What Does This Mean For Your Organisation?

For UK businesses, the immediate impact is limited, but the longer-term trend is clear. Urban air mobility is moving from concept to early deployment, and the combination of reduced emissions, lower noise, and faster journeys is likely to influence how cities design transport networks over the next decade.

This has practical implications beyond aviation itself. For example, businesses that rely on time-sensitive travel, particularly those operating between major cities and airports, may eventually see new options emerge that reduce journey times and improve reliability, especially where road congestion is a persistent challenge.

There is also a sustainability angle that should not be overlooked. As pressure increases on organisations to reduce emissions and demonstrate credible environmental strategies, the availability of lower-impact transport options could become a factor in procurement decisions, travel policies, and broader ESG reporting.

At the same time, the development of this market will create opportunities across multiple sectors, including infrastructure, energy, software integration, and urban planning. Companies involved in these areas may find themselves part of the ecosystem required to support electric aviation, from charging systems to data platforms that manage routing and demand.

Organisations involved in transport, logistics, infrastructure, or sustainability planning should be watching closely, particularly as similar trials and proposals emerge in cities such as London. The broader lesson is that new transport technologies are increasingly being shaped by environmental requirements as well as performance, and businesses that understand how these systems develop will be better placed to adapt as they move towards commercial reality.

Microsoft’s new Copilot “Cowork” feature shows how AI can take on multi-step tasks across apps, helping users automate routine work, save time, and get meaningful outcomes without needing to manually coordinate every step.

[Note – To Watch This Video without glitches/interruptions, It may be best to download it first]

Google has added a Gemini-powered feature to the Google Translate app that lets you hear real-time translations directly through your headphones, making it much easier to follow conversations in other languages as they happen.

Why It Works

Instead of translating after the fact, this feature listens and processes speech continuously, then plays the translated version straight into your ears. That removes the delay and friction of typing or switching screens, so you can stay focused on the conversation itself.

How To Use It

– Connect your headphones to your phone and open the Google Translate app.

– Tap the Live translate or conversation feature.

– Choose the language you want to translate from and your preferred output language.

– Select the listening mode so translations are played through your headphones.

– Tap ‘Start’, then let the app listen and translate in real time.

You’ll hear the translated speech as it happens, and in most cases the app will also generate a transcript on screen so you have a written record if needed.

When It’s Most Useful

This works well in meetings, travel situations, or any setting where you need to follow spoken language quickly without interrupting the flow. It is particularly helpful when listening to explanations, instructions, or announcements where missing key details could cause problems.

What To Watch Out For

Accuracy can vary depending on background noise, accents, and how clearly people speak, so it is still worth double-checking anything important. It also works best with a stable internet connection, as the translation relies on cloud-based processing.

Sam Altman’s World project is rapidly expanding partnerships with everyday platforms like Tinder and Zoom as it pushes to embed human verification into everyday digital interactions, responding to a growing wave of AI-generated content, bots, and deepfake fraud.

What Is ‘World’ And How Does It Work?

World, developed by Tools for Humanity, the company co-founded by OpenAI’s Sam Altman, is a digital identity system designed to prove that someone is a real, unique human online without requiring them to share personal information such as their name or identity documents.

The system is built around what the company calls “proof of human”, a way of confirming that a real person, rather than an AI system or automated bot, is behind an online account or interaction. As the company explains, “World ID lets you verify real humans without compromising privacy,” positioning the technology as a privacy-first alternative to traditional identity checks.

Uses The Orb

The system centres around a biometric verification process using a device known as the Orb, which scans a user’s iris and converts it into a unique cryptographic identifier. That identifier becomes the user’s World ID, which can then be used across multiple platforms.

The company says that this approach is designed to protect user anonymity. According to its own materials, “the Orb captures and processes photos to verify uniqueness without the need to retain your images or collect any other information,” with encrypted data stored locally and under user control.

This model reflects a change in how identity is being handled online. For example, instead of repeatedly sharing personal details with different services, with this type of system, users can prove they are a real person once and then reuse that verification across multiple environments.

To support different use cases, World has also introduced multiple levels of verification, ranging from high-security Orb scans to lower-friction methods such as document checks or selfies. This allows platforms to choose the level of assurance that matches their risk profile.

Why World Is Expanding Beyond Its Own Platform

With that foundation in place, World is now moving to scale its technology by integrating directly into high-traffic consumer and business platforms where trust has become a growing issue.

At the same time, the problem it is trying to solve is becoming more urgent. As generative AI systems improve, the volume of synthetic content online is rising sharply, making it harder for users and organisations to know whether they are interacting with a real person or an automated system.

As Sam Altman explained at a recent event, “we are also heading to a world now where there’s going to be more stuff generated by AI than by humans.” That shift is already affecting areas such as online dating, customer interactions, and business communications, where authenticity has direct financial and reputational consequences.

Why Platforms Like Tinder And Zoom Are Getting Involved With World

The choice of partners highlights where these pressures are already being felt most strongly. For example, on platforms like Tinder, the challenge is driven by bots and romance scams, which are becoming more convincing as AI-generated profiles and conversations improve.

By integrating World ID, Tinder can offer users a visible signal that a profile belongs to a verified human, helping to rebuild trust in an environment where uncertainty has become common.

In business environments, the risks are more direct and potentially more costly. World’s partnership with Zoom reflects growing concern about deepfake impersonation, particularly in video calls where financial or operational decisions are being made.

Cases involving AI-generated participants in meetings have already resulted in significant financial losses, highlighting the limitations of traditional security measures. World’s approach, which links a live video feed to a previously verified identity, is designed to address this by confirming that the person on screen is genuine.

Beyond these examples, World is also expanding into areas such as digital contracts, ticketing, and online commerce. Integrations with platforms like DocuSign aim to ensure that agreements are signed by real people, while partnerships with ticketing providers such as Ticketmaster and Eventbrite are designed to reduce bot-driven purchasing and reselling.

What This Means For The Future Of Online Trust

The wider significance of these partnerships lies in how they reshape the idea of identity on the internet. Rather than relying solely on usernames, passwords, or document-based verification, platforms are beginning to adopt a model based on proving that a user is a real, unique human.

World’s own positioning reflects this change. The company says its technology can “securely and anonymously prove that every user is a real and unique human online,” while also helping to “eliminate bots and Sybil attacks at scale,” strengthening platform integrity.

This approach has some clear advantages. For example, using this type of verification system, platforms can reduce fake accounts, improve moderation, and create more reliable user experiences, while businesses can lower the risk of fraud and build greater trust with customers and partners.

Biometrics Still A Sensitive Issue

However, there are still many questions around the sensitive issue of the use of biometric verification. In fact, World has already faced scrutiny from regulators in multiple countries over how its technology is deployed, while practical considerations around accessibility persist given that the highest level of verification still depends on specialised hardware.

At the same time, the model highlights a wider challenge, as the rapid development of AI is increasing the need to verify real people while also making impersonation more realistic and easier to carry out at scale.

What Does This Mean For Your Business?

For most organisations, World’s technology will not be something they implement directly in the immediate term, but the change it represents is already relevant.

As AI-driven fraud, impersonation, and automation continue to increase, the ability to verify that a user is genuinely human is likely to become a standard requirement across many digital services. This applies not only to customer-facing platforms but also to internal systems, supply chains, and remote collaboration tools.

A reusable, privacy-focused identity layer has the potential to simplify how organisations manage trust, reducing reliance on fragmented verification methods and lowering exposure to risks such as fake accounts and social engineering attacks.

At the same time, adopting these approaches will require some careful consideration of compliance, user experience, and operational fit. Organisations will need to assess where human verification adds value and how it aligns with their existing systems and processes.

World’s expanding network of partnerships, such as Tinder, shows that this model is already moving into mainstream use. As platforms begin to embed proof-of-human verification into their core functionality, organisations that understand how it works and where it can be applied will be better positioned to operate in a digital environment where proving you are human may become just as important as proving who you are.

Microsoft-owned GitHub has paused new sign-ups for its Copilot Individual plans and tightened usage limits after a sharp rise in AI-driven coding workloads exposed a growing gap between fixed subscription pricing and real infrastructure costs.

Why GitHub Is Changing Copilot Plans

This decision seems to reflect a fundamental change in how developers are now using AI tools. Whereas GitHub Copilot was originally designed to assist with short, lightweight coding tasks, such as autocomplete suggestions or small snippets of code, that usage model seems to have shifted significantly with the rise of agentic AI. For example, developers now rely on AI systems to run longer, more complex workflows that can operate across multiple threads and extended time periods.

As GitHub explained in an announcement on its blog, “agentic workflows have fundamentally changed Copilot’s compute demands,” with “long-running, parallelised sessions now regularly consum[ing] far more resources than the original plan structure was built to support.”

This change in behaviour has created a clear mismatch between what users pay and what it costs to deliver the service. GitHub has been unusually direct about this point, stating that “it’s now common for a handful of requests to incur costs that exceed the plan price.”

To manage this, the company has paused new subscriptions for Copilot Pro, Pro+, and Student plans, leaving only the free tier open to new users while it reassesses how to deliver the service sustainably.

What Has Changed For Existing Users?

Existing subscribers will retain access to their plans, but these plans are essentially being reshaped through tighter usage controls and clearer limits.

For example, GitHub has introduced stricter session and weekly usage caps, which are based on token consumption rather than just the number of requests. These limits are designed to prevent heavy workloads from overwhelming the system during peak demand.

The company explained that session limits exist “to ensure that the service is not overloaded during periods of peak usage,” while weekly limits are intended to control “long-trajectory requests that often run for extended periods of time and result in prohibitively high costs.”

Importantly, these limits operate independently from model access. A user may still have access to premium AI models but be unable to use them if they exceed their token allowance.

To reduce disruption, GitHub is also adding usage warnings directly into tools such as Visual Studio Code and the Copilot command-line interface, helping developers monitor consumption before hitting a limit mid-task.

Model availability is also being adjusted. More advanced and resource-intensive models are being removed from lower-tier plans and concentrated in higher-priced subscriptions, reinforcing a tiered structure that aligns cost with usage.

The Economics Behind GitHub’s Decision

It should be noted here that the underlying issue is not unique to GitHub. In fact, across the AI industry, providers are now grappling with the cost of running increasingly powerful models at scale, particularly as usage becomes less predictable.

Agentic coding workflows are especially demanding because they involve continuous processing, large volumes of generated tokens, and parallel execution across multiple tasks. These characteristics make them far more expensive than traditional, request-based interactions.

GitHub acknowledged this directly, noting that as “agents are doing more work, more customers are hitting usage limits designed to maintain service reliability,” adding that “without further action, service quality degrades for everyone.”

This highlights a broader transition taking place across AI services. For example, early adoption often relied on generous or simplified pricing to encourage uptake, but sustained usage at scale is forcing providers to introduce tighter controls and more granular billing models.

Industry analysts have pointed out that similar changes are already happening elsewhere, as companies adjust pricing and usage policies to reflect the true cost of AI infrastructure, including the availability of high-performance GPUs and the energy required to run them.

The Implications For Developers And Businesses

For developers, these changes signal that AI coding tools are moving away from the idea of unlimited assistance towards a model where usage must now be actively managed.

Heavy users, particularly those relying on automated workflows or parallel tasks, may need to rethink how they structure their work to avoid hitting limits or incurring higher costs.

For businesses, the implications are broader. For example, AI tools like Copilot are increasingly being embedded into development processes, meaning their cost structure becomes part of overall operational planning rather than a fixed overhead.

This introduces a need for greater visibility and control. Organisations may need to monitor how AI tools are being used, set internal guidelines, and evaluate whether higher-tier plans or alternative tools provide better value.

There is also a strategic consideration around reliability. GitHub’s decision to pause new sign-ups in order to “ensure a reliable and predictable experience for existing customers” highlights how demand can affect service quality, particularly when infrastructure is under pressure.

What Does This Mean For Your Business?

For most organisations, these changes are an early indicator of how AI services are likely to evolve rather than an isolated adjustment by one provider.

The move away from flat-rate pricing towards usage-based models means that AI tools will need to be treated more like metered infrastructure, where cost, performance, and usage are closely linked.

This is particularly relevant for teams that are scaling their use of AI for development, automation, or decision support. Without clear oversight, costs can rise quickly, and workflows that rely heavily on AI may become harder to predict.

At the same time, the benefits remain significant. Agentic AI workflows can deliver substantial productivity gains, allowing teams to solve more complex problems faster and with fewer manual steps. The challenge is ensuring that those gains are balanced against cost and operational constraints.

GitHub’s decision to pause sign-ups and tighten limits is a clear signal that the economics of AI are still evolving. Organisations that understand this early, and begin managing AI usage as a core part of their operations, will be better positioned to take advantage of these tools without being caught off guard by their cost or limitations.