The surveillance-happy UK has hit another home run against personal privacy with a new set of laws that are stifling people’s digital experiences. Introduced as measures to protect child safety, these new rules are, of course, being applied in such a way as to damage legitimate internet use. 

That is probably what was intended in the first place.

The UK has introduced a legal requirement for internet age verification that is affecting social media services, websites, and apps worldwide. Apple itself has warned of flaws in the Act, saying last year: “The Online Safety Bill poses a serious threat to (this) protection and could put UK citizens at greater risk. Apple urges the government to amend the bill to protect strong end-to-end encryption for the benefit of all.”

Protecting young minds at the cost of privacy

The so-called Online Safety Act (OSA) went into effect on July 25; it makes websites and apps responsible for preventing children from accessing “age-inappropriate content.” But rather than target the young people it ostensibly wants to protect, the law is affecting all users — spawning a vast and unregulated industry in various kinds of age verification services.

Now, you might think that having nurtured introduction of such services, the UK could also have legislated to ensure that those services are themselves secure. Unfortunately, a government big on rhetoric and low on substance did not choose to do so, which means websites and services are free to work with age verification partners, no matter how secure those services might be. 

But who protects you?

To make matters worse, these services are requesting highly confidential data, which means images of passports, people, dates of birth and other identifying information is being shared with companies that are under no legal obligation to keep that information secure. We know this is dangerous, as there have been multiple instances in which companies have failed to protect such information. For example, just last year, US ID verification service called AU10TIX exposed names, dates of birth, nationality, identification numbers, the type of documents uploaded (such as a drivers’ license) and images of those document. 

We’ve also seen stories that suggest potential connections between these ID services and foreign intelligence agencies. In other words, when verification takes place, there’s no saying who will see that key data, and no strong safeguards in place to ensure the information is not sold, stolen, or otherwise misused. It opens people up to all kinds of abuse and seems to contradict all the protection of GDPR.

Shut up

Put it all together and it is pretty clear that the Online Safety Act in the UK does nothing to keep people safe online. Not only this, but by removing anonymity the law makes it super-easy for repressively authoritarian governments such as that of the UK to ban conversations it doesn’t like, silence free speech, and quell criticism. 

Finally, of course, the badly-written law also seems liable to be used as yet another stick with which to force Apple to insert surveillance back doors into end-to-end encrypted messaging platforms. 

As you might expect, people are tangibly unhappy with the new law and have little trust in the online entities with whom they are being told to share their personal information. This is prompting a massive increase in VPN installations, with Proton VPN reporting an astonishing 1,800% uptick in new users since the UK law went into effect. 

Into the fire

VPN services can help you sidestep these requests for age verification by making it seem as if the interaction takes place from outside of the UK — but there is a problem with services of this kind. Not every VPN is as secure as it should be. To enumerate the extent of this insecurity, Top10 VPN warns that 88% of free VPNs they test suffer from serious security issues, such as leaking of IP addresses.

That means — particularly where free VPN services are concerned — people need to be very careful which services they choose. ProtonVPN, NordVPN, ExpressVPN all usually score highly when these services are reviewed, and should be relatively secure — that is, until we see those services caught up in the same privacy-eroding dragnet, “For Your Protection.” It’s all gone very Alan Moore.

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Source:: Computer World

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In the end time, you should not ask what you can do for artificial intelligence (AI), but what it can do for you. To me, that means creatives retaining their own copyright in the AI data-sucking era, rather than signing off their own ideas to machinery. And it means the AI tools we use shouldn’t compromise privacy, usability, or security. At best, AI should simply augment what humans can do alone.

That may not be where the AI industry seems to be going at the moment, but I do think there will come a time when it has no choice but to take that direction — even if it takes a few election cycles until regulation kicks in. That’s why today’s early movers don’t necessarily have the strongest foundations, despite the hype.

Searching for ideas

What’s that got to do with Apple? On the surface, not much. Apple isn’t playing the same search intelligence game. Its problems with AI, while widely reported, aren’t necessarily the problems we think we see. Apple doesn’t need to build an AI search engine or chatbot; it can play nice with others to deliver those kinds of features. 

What it does need is to design operating systems that make use of AI and machine intelligence to help people with their lives. At the same time, those age-old problems with Siri seriously damaged the company’s reputation, though they haven’t undermined user loyalty to any great extent. That’s in part because the vast majority of its customers (roughly 80%) aren’t yet using devices capable of running AI. 

While almost everyone on the planet seems to have made some use of ChatGPT, most are not using systems with ChatGPT built inside the operating system. (Though you see fragments of it when you use Office products; each time you try to open a document yet another set of unwanted Copilot UI elements appear — just where you don’t really want them.)

Apple’s playing a different game

What I’m saying is that despite all the hype and hoopla, AI’s true impact hasn’t yet been felt, and given that some of its more negative effects have yet to be felt, there will be a backlash. People tend to take umbrage when AI destroys their livelihoods or erodes their salaries.

That’s going to make most people more interested in finding AI that is good for them, solutions that are truly useful, and services that don’t diminish their lives while pretending to help them on their way.

Those are precisely the kind of services Apple should bring to the field.

In a recent client report seen by Computerworld, Morgan Stanley analyst Erik Woodring puts it well, noting that “investors do not fully appreciate Apple’s AI intentions.” His argument is that Apple doesn’t need to do what Meta, Google or Amazon are doing in terms of chatbots and search. That path is expensive, the market well-served, and the reward less clear. 

“We acknowledge that Apple might not have fully finalized their own approach to AI, but we also believe that anyone thinking Apple will acquire an AI-powered search engine to ‘solve their AI shortfalls’ is misguided,” Woodring said. “Apple almost certainly is not, and does not, want to compete directly in search, regardless of what happens in the DOJ v. GOOGL remedy ruling.”

Where is Apple going?

The analyst, instead, believes Apple’s approach will be to build a broad ecosystem of new virtual-assistant-like features embedded into their OS, “some of which run on homegrown LLMs with Siri acting as central command, and others (arguably more) leveraging white-labeled technology from leading AI labs (Perplexity, Google, Grok, Anthropic, Mistral, etc.) — that make their products and services better…”

If that’s true — that Apple wants to create its own unique family of AI tools and services to make life better for its customers, while integrating services from others for those tasks it does not provide — then getting there will take time.

Does Apple have that time? 

I’ve argued for a while that it has time; user satisfaction across its ecosystem remains far deeper than anyone else, meaning its hardware sales aren’t really feeling any pain due to a perceived lack of AI. (Morgan Stanley actually sees growth in hardware sales across the current quarter.)

Combine happy users with the compelling nature of the hardware Apple already creates and you can see that Apple still has some time to develop its approach to AI. Woodring has the same analysis but does argue that Apple needs to make sure it does not squander this breathing space. 

“The rapid pace of AI innovation means we need to start seeing more tangible progress from Apple in the coming months,” he told his clients. 

While we wait…

Despite appearances, AI isn’t really the sum total of the tech industry. While it develops its own approach to integrating the tech within its hardware, Apple will maintain momentum with a flotilla of fresh new hardware designs, including super-thin, folding iPhones and new Mac families. And, of course, what’s nice about all this new hardware is that all of it will run whatever additional AI services the company intends to roll out in the future, along with existing Apple Intelligence tools.

And what that means, of course, is that two years down the line, hardware people already own or are about to acquire will become even more compelling as those new services ship in a move that again keeps Apple’s customers engaged. Apple’s moat runs deep.

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Source:: Computer World

By Siôn Geschwindt For the first time, a satellite has used onboard AI to autonomously decide where and when to capture a scientific image — all in under 90 seconds, with no human input. The technology, called Dynamic Targeting, was tested by NASA’s Jet Propulsion Laboratory (JPL) earlier this month. It was installed aboard a briefcase-sized satellite built and operated by UK-based startup Open Cosmos, and carried a machine learning processor developed by Dublin-based firm Ubotica.   In the test, the satellite tilted forward to scan 500km ahead of its orbit and snapped a preview image. Ubotica’s AI quickly analysed the scene to check…This story continues at The Next WebOr just read more coverage about: NASA

Source:: The Next Web

By Deepti Pathak Rune Slayer is a quick-paced Roblox game where you fight tough enemies, level up your character,…
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Using OpenAI’s ChatGPT instead of Google’s search engine is becoming more common in the US, according to a new survey of 1,000 people by Adobe Express. More than three-quarters (77%) of respondents say they use ChatGPT for searches — and 25% have it as their first choice.

Not surprisingly, children and young people in particular prefer ChatGPT to Google. What attracts them most: getting answers to everyday questions or getting creative inspiration. Users said they also appreciate the ability to get summaries of complicated topics and to avoid having to click on a lot of links.

Three in 10 people surveyed said they trust ChatGPT over other search engines, and 47% of marketers and business owners use ChatGPT to promote their business.

Related reading:

Google experiments with AI-only search as competition heats up

The future of AI search is Google’s to lose

Goodbye, Gemini: A sanity-saving Google Search switch

Google: Our users like advertising in AI search results

Buyer’s guide: How to choose an enterprise search platform

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Source:: Computer World

Eyeing the upcoming end of support for Windows 10 in October, many IT buyers are snapping up Windows 11 AI PCs despite having no clear understanding of how to use them in their infrastructures.

“The use cases around AI PCs are not fully fleshed out just yet,” said Jitesh Ubrani, research manager at IDC. “Companies are struggling to figure out if AI PCs are worth the extra investment or not, especially when there’s a lot of AI that can be done in the cloud, as opposed to on the device itself.”

The end of Windows 10 support, the hype around “AI PCs,” the push from companies like Microsoft to use AI tools like Copilot — even the prospect of tariffs — all present IT buyers with a conundrum when it comes to hardware purchases.  “The transition to…the generative AI PCs is slower than we expected,” Ubrani said. “And it’s mainly because of the environment we’re in right now.”

Overall, PC sales have been on an upswing. The PC market totaled 68.5 million units in the second quarter this year, growing 6.5% compared to the same quarter in 2024, according to IDC. (Gartner tallied PC shipments for the quarter slightly lower: 63.2 million units with a year-over-year growth rate of by 4.4%.)

But cost continues to be a big factor, especially since AI PCs can be expensive and don’t always perform as advertised — even if they have neural processing units (NPUs) designed to run genAI applications online.

What most end users care about is what generative AI (genAI) tools can accomplish on a PC, not how it’s done or what’s happening behind the scenes, Ubrani said. “We have expected this transition to happen fairly quickly…, especially because we were expecting costs to drop dramatically,” he said.

Instead, the adoption of AI PCs will likely take off next year, he said, especially with Qualcomm announcing new AI chips targeted at cheaper $600 PCs.

Although the AI software ecosystem hasn’t advanced as quickly as the hardware, AI will be increasingly important, with many apps utilizing the AI hardware or on-board NPUs, if available, said Ranjit Atwal, research director at Gartner. “AI PCs will be relevant, just not yet,” he said.

Microsoft has branded AI PCs as Copilot+ PCs in a bid to showcase the company’s genAI-based Copilot tools (and encourage the purchase of Windows 11 hardware). Chipmakers are in the mix as well: Intel, Qualcomm and AMD all offer chips with AI processors for Copilot PCs.

More hype than help (for now)?

But many AI PC buyers are being wooed with promises not yet fulfilled because the hardware may lack the specialized chips for on-device AI. Further complicating things: Microsoft also markets Copilot PCs that run only cloud-connected Copilot tools — not on-device AI.

The current Copilot+ hardware requirements are a little ambitious, given they don’t have applications that need those requirements, Atwal said. He argued companies should try to future-proof their purchases now. “It’s about how much you invest in the future, when applications such as conversational AI and other multi-modal interaction capabilities come along,” he said.

Microsoft is making fundamental changes to Windows 11 to make it an AI-savvy OS. The company in recent months added Phi and Mu small language models (SLMs) that can run directly on PCs and plans to include models to run Copilot in Microsoft 365 without an Internet connection. (Those applications will need AI PCs.)

The development of SLMs — and how efficiently they run — will be a key to future AI PC success. But more performance alone won’t be enough, Atwal said.

IT buyers should also be mindful of the security risks, said Jack Gold, principal analyst at J. Gold Associates. “It would be a good idea to educate users on the pros and cons, and policies around Copilot,” he said.

The free version of Copilot is available to download and use and could potentially leak sensitive data.

Although the enterprise version of Copilot requires a license, giving IT some control over its use, the free version is available to download and could potentially leak sensitive data. That could be an issue for smaller companies “where there is more variability,” Gold said.

AI PCs or not, companies should stick to their regular hardware upgrade cycles, said Jim McGregor, principal analyst at Tirias Research. “AI will always be a hybrid solution between the device and the cloud, so it’s best to buy to current needs,” he said.

More AI PC news and insights:

What is an AI PC? The power of artificial intelligence locally

Just what the heck does an ‘AI PC’ do?

IDC: 80% of companies plan to buy AI PCs this year

Should you buy AI PCs for your workforce in 2025?

Copilot+ AI PCs are finally here. You don’t want one — yet

Source:: Computer World

By Siôn Geschwindt Swiss startup Jua has launched an AI-powered weather forecaster that it says beats leading models from tech giants — potentially making it the world’s most accurate weather forecasting system. Jua claims its model — dubbed EPT-2 — is faster and more accurate than both Microsoft’s Aurora and Google DeepMind’s Graphcast. In separate, peer-reviewed studies, both of those models were shown to be more accurate than the European Centre for Medium-Range Weather Forecasts (ECMWF)’s ENS forecast, widely regarded as the world leader. Jua backs up its bold claims with a new report, published today, that puts EPT-2 head-to-head with top-tier models…This story continues at The Next WebOr just read more coverage about: Google

Source:: The Next Web

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By Siôn Geschwindt Swedish AI startup Lovable says it has surpassed $100mn in annual recurring revenue (ARR) just eight months after launch. This makes it the fastest-ever software company to reach the milestone — eclipsing the historically rapid growth rates of companies such as Cursor and Wiz.  Lovable’s rise stems from the popularity of its generative AI platform. The system allows non-technical users to build apps or websites based on simple text prompts.  The platform is the brainchild of Anton Osika, who co-founded Lovable in 2023. “I decided what we needed to do is build for the 99% who do not create software,” he…This story continues at The Next Web

Source:: The Next Web

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US bleach and cleaning product giant Clorox has filed a $380 million lawsuit against IT services provider Cognizant, alleging the company’s helpdesk staff handed over network passwords to cybercriminals who simply called and asked for them, no questions asked.

The complaint filed Tuesday in Alameda County Superior Court includes actual recorded conversations that reveal the stunning simplicity of the August 2023 attack that resulted in $380 million in damages to the consumer goods company.

Continue reading on CSO.

Source:: Computer World

Apple device management vendor Kandji has introduced new tools designed to protect corporate devices from vulnerabilities. Dubbed Vulnerability Response, the software lets customers configure accelerated software updates for more than 200 Mac applications based on the severity of the vulnerabilities. 

I caught up with Justin Safdie, the company’s general manager of endpoint security, and Weldon Dodd, distinguished solutions engineer at Kandji, to find out a more about these new tools and take a temperature check about Apple’s place in enterprise markets. The two also weighed in Apple’s recent enterprise announcements at WWDC.

What matters about Apple’s enterprise advances?

Apple’s enterprise credentials are growing as the opportunities for its devices in the enterprise space expands. With the imminent shuttering of Windows 10 support, “enterprise customers are more open than ever to allowing user choice for a work computer,” said Dodd. 

“With enterprise adoption of macOS at an all-time high, this is definitely a good time to consider adopting Mac instead of Windows 11 PCs,” Dodd said. “The lifetime cost of a Mac is often significantly lower than supporting a PC over three to four years, so it is a good time to encourage users to pick [a] Mac for their next work device.”

This isn’t just a pipedream — the move to Apple’s ecosystem across business is a visible trend, Dodd told me. “We talk to customers every day that are looking to expand their Mac deployment,” he said. “I’m thinking of one of our enterprise customers that has a Mac fleet of 40,000.”

He noted that since those thousands of Macs were deployed, the company is seeing other employees requesting Apple hardware because they see the usability and productivity benefits their colleagues enjoy.

Managing and management

Perhaps unsurprisingly, given the company’s attempt to build its own customer base, Dodd was particularly keen on Apple’s recently announced Device Migration tool, which makes it easier to migrate between MDM systems.

“Previously, moving between Device Management services would result in the device being erased and going through setup again. Moving Mac fleets can be a little more involved, but Device Migration offers similar benefits,” he said.

Dodd also pointed to improvements in Platform SSO, which now allows for the creation of the very first account on the Mac using cloud identity credentials, and the new Apple Business Manager API that makes it easier to integrate AppleCare warranty data with ITSM solutions such as Service Now.

What is Vulnerability Response?

Apple did announce improvements to its implementation of Declarative Device Management at WWDC. To some extent, you could argue that these cover some of the same ground as Kandji’s new offering, but they are not connected. “Our vulnerability detection and patching solutions rely on the existing Kandji device management capabilities to collect app version info from managed devices,” Dodd said.

“Apple has extended Declarative Device Management (DDM) in future versions of macOS Tahoe to include installing application packages,” he said, suggesting the improvements also “open new doors for Kandji to push device management even further, particularly around automated app deployment.”

Kandji’s new tool is a policy within the MDM. Once it’s in place, the Kandji agent knows to check installed Mac apps against the latest Common Vulnerabilities and Exposures (CVE) data. “If it detects a vulnerable app, the agent applies your predefined rule for that CVE’s severity. You can tell it to patch the app right away, schedule the update for a specific time that respects the user’s local time zone, or simply log the issue and take no action,” Safdie said.

“Updates are driven by real‑time vulnerability data instead of a generic ‘once‑a‑week’ Windows patch, which means security gaps close as soon as fixes are available,” Safdie said. “Enabling Vulnerability Response should have no additional impact to resource usage, as it is leveraging the data and processes that are already in place for our MDM solution.”

Patch fast to survive

The solution should be of particular benefit to businesses that need to meet strict patch‑management SLAs (such as NIST), patching high-severity vulnerabilities within 30 days. “It is designed for any industry where audit‑ready remediation timelines are business critical or lean IT teams that want their security updates to happen automatically,” Safdie said.

Of course, the ongoing insecurity landscape is what makes this solution potentially useful to Kandji customers. The recent Verizon 2025 Data Breach Investigations Report (DBIR) told us that 20% of breaches in 2024 were directly attributed to attackers exploiting known, unpatched vulnerabilities.

Companies at present seem slow to protect themselves, with almost 75% of them taking more than a month to secure against vulnerabilities once they are identified, leaving businesses wide open to attack.

That’s bad for any business. And while it remains true to say Apple products remain inherently more secure, that security is not complete; a combination of factors — from user error to slow update installation — leaves even those systems at risk. In other words, tools to help deploy essential software patches should be mandatory across any organization, even on a Mac.

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Source:: Computer World

Europe’s deep tech future hinges on evolving investment strategies. The reason for this is that traditional funding models cannot support the long-term financial commitments that innovation demands. There is a European paradox where, despite substantial scientific research, early commercialisation and a focus on shorter-term goals prevent the region from realising the full potential of deep tech. Although startups provide strong support, the sector still lags behind the US and Asia in bringing breakthroughs from the lab to market. To maintain a competitive industry, Europe needs to advance technologies like AI, robotics, synthetic biology, and quantum computing, which are at the…This story continues at The Next Web

Source:: The Next Web

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OpenAI has taken an important step to advance its global ambitions by signing a strategic agreement with the UK government to deploy its AI models and background expertise to overhaul government services.

With high and unsustainable UK public spending coupled to a hidebound central government, government departments need to address weak delivery and chronic public sector waste. The ambition is that AI will help them do so.

There’s a lot at stake for both sides in this deal. The UK government will need to see results at some point, while OpenAI will see the challenge as a chance to prove its technology in the face of some skepticism.

The agreement doesn’t go into much detail about how OpenAI’s technology will be deployed, but it’s clear that the government and the Department for Science, Innovation and Technology (DSIT) see the US company as an important partner in their quest to evaluate the technology’s potential.

The focus will be on helping the government implement the priorities set out in January’s AI Opportunities Action Plan. Beyond that, the government wants to embed AI knowhow in the wider economy while encouraging companies in the sector, including OpenAI itself, to expand their footprint in the country.

“AI will be fundamental in driving the change we need to see across the country — whether that’s in fixing the NHS [National Health Service], breaking down barriers to opportunity, or driving economic growth,” said UK Technology Secretary Peter Kyle. “This partnership will see more of their work taking place in the UK.”

OpenAI CEO Sam Altman was also enthusiastic. “Britain has a strong legacy of scientific leadership, and its government was one of the first to recognize the potential of AI through its AI Opportunities Action Plan. Now, it’s time to deliver on the plan’s goals by turning ambition to action and delivering prosperity for all,” he said.

The government announcement alluded to the need to build a domestic AI capability and not simply offshore expertise in a way that might lead to technology dependency. The agreement would, “support the UK’s goal to build sovereign AI in the UK: ensuring that the UK continues to drive critical AI research and participates actively in development of this unique technology,” said the official Memorandum of Understanding (MoU).

Well-worn path

In the UK, public sector IT projects have a habit of going off the rails or costing too much. The most extreme example was the infamous Post Office Horizon scandal that led, over more than a decade, to the wrongful prosecution of hundreds of innocent users for accounting fraud.

The worry is that AI will eventually follow this well-worn path of unfulfilled potential. In May, a Parliamentary Public Accounts Committee (PAC) report found that, so far at least, AI’s benefits inside government have been modest.

However, the announcement with OpenAI hints at more realistic expectations. Initially, the government will probably be happy if they can encourage OpenAI to expand its local AI infrastructure and workforce.

This is already bearing fruit. “Alongside the partnership agreement with the UK Government, OpenAI confirmed its intention to increase its footprint in the UK,” said OpenAI in its announcement of the partnership.  “OpenAI will share more details on its expansion in the summer.” Its first European office opened in 2023 in London and currently employs around 100 people.

‘Big AI’ risk

But OpenAI’s motivation might not be just all about billing for project work. As a government partner, it will also get access to a lot of data, an essential ingredient in improving AI’s usefulness.

However, the advent of AI in government is raising concerns among some UK businesses.

“Experience shows that introducing new tools into existing systems without proper restructuring typically creates expensive chaos,” said Karli Kalpala, head of strategic transformation for UK and Ireland at business automation company Digital Workforce. “Departments need to ensure that they do not deliver AI in siloes, which could create disconnected initiatives that duplicate effort whilst solving little of the substance.”

“If ministries use AI merely to accelerate current processes, they’ll create sophisticated digital assistants rather than intelligent, autonomous systems and workers that can deliver genuine transformation,” Kalpala said, noting that getting into bed with big AI would never be risk-free.

“Single vendor partnerships create dangerous dependencies,” he pointed out. “A more sensible approach would involve specialist AI companies with deep sector knowledge, such as healthcare AI firms for the NHS or defense technology specialists for security services. These focused partnerships would reduce vendor lock-in risks.”

Hilary Stephenson, managing director of usability design company, Nexer Digital, also has doubts. To fulfil its ambitions, she argued, the government will need to develop inhouse AI knowledge and not simply outsource all the thinking to external partners.

Its mistake was to see AI as purely about technology, she said. “We welcome innovation, but with it comes a responsibility to maintain transparency, protect public trust, and avoid deepening existing inequalities. People have a right to know how their data is being used.”

Source:: Computer World