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Apple defines what we should expect from cloud-based AI security

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Apple will introduce new Macs and the first services within its Apple Intelligence collection next week. To protect cloud-based requests made through Apple Intelligence, it has put industry-beating security and privacy protecting transparency in place around cloud-based requests handled by its Private Cloud Compute (PCC) system.

What that means is that Apple has pulled far ahead of the industry in a bid to build rock-solid protection around security and privacy for requests made of AI using Apple’s cloud. It’s an industry-leading move and is already delighting security researchers.

Why is that? It’s because Apple has opened the doors that secure its Private Cloud Compute systemwide to security testers in the hope that the energy of the entire infosec community will combine to help build a moat to protect the future of AI.

Make no mistake, this is what is at stake. 

As AI promises to permeate everything, the choice we face is between a future of surveillance the likes of which we have never seen before, or the most powerful machine/human augmentation we can dream of. Server-based AI promises both these futures, even before mentioning that as quantum computing looms just a few hills and valleys away, the information picked up by non-private AI systems can be weaponized and exploited in ways we can’t even imagine.

That means to be secure tomorrow we must take steps today.

Protecting AI in the cloud

In part, protecting that future and ensuring it can say with total confidence that Apple Intelligence is the world’s most private and secure form of AI is what Apple is trying to do with PCC.  This is the system that lets Apple run generative AI (genAI) models that need more processing power than available on the iPad, iPhone, or Mac you use to get things done. It’s the first port of call for these AI requests and has been deliberately designed to protect privacy and security. “You should not have to hand over all the details of your life to be warehoused and analyzed in someone’s AI cloud,” Apple Senior Vice President of Software Engineering Craig Federighi said when announcing PCC  at WWDC.

The company promised that to “build public trust” in its cloud-based AI systems, it would allow security and privacy researchers to inspect and verify the end-to-end security and privacy of the system. The reason the security community is so excited is because Apple has exceeded that promise by making public all the resources it made available to researchers.

Security research for the rest of us

It provided the following resources:

The PCC Security Guide

Apple has published the PCC Security Guide, an extensive 100-page document including comprehensive technical details about the components of the system and how they work together to secure AI processing in the cloud. This is a deep guide that discusses built-in hardware protections and how the system handles various attack scenarios.

A Virtual Research Environment

The company has also created something security researchers might get excited about: A Virtual Research Environment (VRE) for the Apple platform. This consists of a set of tools that make it possible to perform your own security analysis of PCC using a Mac. This is a robust testing environment that runs a PCC node — basically a production machine — in a VM so you can beat it up as much as you like in search of security and privacy flaws. 

You can use these tools to:

List and inspect PCC software releases.

Verify the consistency of the transparency log.

Download the binaries corresponding to each release.

Boot a release in a virtualized environment.

Perform inference against demonstration models.

Modify and debug the PCC software to enable deeper investigation.

Publishing the PCC source code

This is a big step in its own right and is provided under a license agreement that lets researchers dig deep for flaws. Within this set of information, the company has made source code that covers privacy, validation, and logging components. (All of this source code is available on GitHub now.)

Bounty hunters

Of course, the company understands that it must also incentivize researchers. To do so, Apple opened up a bounty system for those who succeed in finding flaws in the PCC code. 

To contextualize the extent of this commitment, it is important to note that the value of these bounties is equal to what the company pays to researchers who discover iOS security flaws. 

I believe that means Apple sees AI as a very important component to its future, PCC as an essential hub to drive forward to tomorrow, and that it will also now find some way to transform platform security using similar tools. Apple’s fearsome reputation for security means even its opponents have nothing but respect for the robust platforms it has made. That reputation is also why more and more enterprises are, or should be, moving to Apple’s platforms.

The mantle of protecting security is now under the passionate leadership of Ivan Krstić, who also led the design and implementation of key security tools such as Lockdown Mode, Advanced Data Protection for iCloud, and two-factor authentication for Apple ID. Krstić has previously promised that, “Apple runs one of the most sophisticated security engineering operations in the world, and we will continue to work tirelessly to protect our users from abusive state-sponsored actors like NSO Group.”

When it comes to bounties for uncovering flaws in PCC, researchers can now earn up to $1 million dollars if they find a weakness that allows arbitrary code execution with arbitrary entitlements, or a cool $250,000 if they uncover some way to access a user’s request data or sensitive information about their requests.  

There are many other categories, and Apple seems really committed to ensuring it motivates even trivial discoveries: “Because we care deeply about any compromise to user privacy or security, we will consider any security issue that has a significant impact to PCC for an Apple Security Bounty reward, even if it doesn’t match a published category,” the company explains. Apple will award the biggest bounties for vulnerabilities that compromise user data and inference request data.

Apple’s gamble

It’s important to stress that in moving to deliver this degree of industry-leading transparency, Apple is gambling it can ensure that any weaknesses that do exist in its solution will be spotted and revealed, rather than being identified only to be sold on or weaponized. 

The thinking is that while nation state-backed attackers might have access to resources that provide attackers with similar breadth of insight into Apple’s security protections, they will not share word of any such vulnerabilities with Apple. Such attackers, and those in the most well financed criminal or semi-criminal entities (within which I personally believe surveillance-as-a-service mercenaries belong), will spend time and money finding vulnerabilities in order to exploit them.

But there is a big world of security researchers who might also uncover weaknesses in the system who would be willing to share them, enabling Apple to patch vulnerabilities faster.

The way Apple sees it is that one way to ensure such vulnerabilities aren’t turned into privacy-destroying attacks is to make it so more people discover them at the same time; after all, even if one dodgy researcher chooses to use a weakness in an attack, another might disclose it to Apple early, effectively shutting down that route. In other words, by making these details available, Apple changes the game. In a strange irony, making these security protections open and available may well serve to make them more secure.

That’s the hope, anyway. 

“We believe Private Cloud Compute is the most advanced security architecture ever deployed for cloud AI compute at scale, and we look forward to working with the research community to build trust in the system and make it even more secure and private over time,” Apple explained.

Why this matters

It is also a defining moment in security for AI. Why? Because Apple is an industry leader that sets expectations with its actions. With these actions, the company just defined the degree of transparency to which all companies offering cloud-based AI systems should now be held. If Apple can, they can, too. And any business or individual whose data or requests is being handled by cloud based AI systems can now legitimately demand that degree of transparency and protection. Apple is making waves again. 

Please follow me on LinkedIn, Mastodon, or join me in the AppleHolic’s bar & grill group on MeWe.

Source:: Computer World

Who needs a humanoid robot when everything is already robotic?

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Humanoid robots from Tesla can “be a teacher, babysit your kids…, walk your dog, mow your lawn, get the groceries, just be your friend, serve drinks. Whatever you can think of, it will do,” said Elon Musk at this month’s Tesla “We, Robot” showcase in Burbank, CA.

To paraphrase: “Humanoid robots can be human, so you don’t have to!”

It’s a toxic and misguided vision for humanity — let me tell you why.

What is a robot, anyway?

When the public thinks of a robot, they think of a humanoid robot — an intelligent machine with feet, legs, knees, arms, a neck, a head, and a face — thanks to countless movies, TV shows, novels, and comics. 

But what is a robot, really? 

A robot is any computerized machine with sensors that gather information from its environment and can perform actions in the physical world based on that input. Robots’ attributes include autonomy, programmability, sensing capability, decision-making, and the ability to perform physical actions.

We talk about robots as a kind of future technology. But we’re surrounded by them every day.

The world of robots is big (so bear with me here); it includes consumer camera drones, smart thermostats, automated garage door openers, self-checkout kiosks, modern washing machines and dryers, robotic lawnmowers, automated pool cleaners, smart refrigerators, advanced coffee makers, automated pet feeders, and smart lighting systems.

There are robot vacuum cleaners, automated window blinds, automated dishwashers, smart ovens, self-service airport check-in kiosks, ATMs, advanced vending machines, adaptive traffic light systems, automated parking garage systems, modern HVAC systems, self-service library checkout systems, smart doorbells, advanced prosthetic limbs, automated subway or train systems, self-service bike rental kiosks, automated car washes, smart toilets, automated pill dispensers, modern pacemakers and implantable cardioverter-defibrillators, automated milking machines, self-balancing electric scooters, automated baggage handling systems, smart power grids, automated trading algorithms, and even modern hearing aids.

Our food is produced with the help of autonomous robot tractors, planting and seeding robots, weeding and pest control robots, automated greenhouse systems, harvesting robots, agricultural drones, soil analysis robots, cow-milking robots, palletizing robots, autonomous tractors, robotic sprayers, and inspection robots.

When you order a pack of batteries from Amazon.com, that order is facilitated by inventory management robots, mobile drive units for transporting goods, sorting robots, AI-driven robotic arms for item manipulation and package transfer, among others.

We are already totally reliant on robots for automotive manufacturing, electronics production, metal and machinery fabrication, plastics and chemical processing, construction, pharmaceutical manufacturing, healthcare, retail and hospitality, smart cities development, transportation, last-mile delivery, e-commerce, inspection and surveillance, and semiconductor production.

The belief that robots are always, usually, or even often humanoid is false. And the belief robots are coming in the future — well, as I just illustrated — is false, too.

We already live in an economy and society that is totally dependent upon thousands of different kinds of robots. They’re all around us, even if we don’t recognize them.

The future of robots

Meanwhile, two things are simultaneously happening. Existing jobs done by robots are constantly becoming ever more sophisticated, precise, efficient, and inexpensive. 

Second, millions of tasks not previously performed by robots are being turned over to them and to robotic machinery. A diverse array of robotic devices will surely become commonplace over the next two decades.

The service sector will see a surge in delivery robots, streamlining last-mile package and food delivery logistics. Advanced cleaning robots will maintain both homes and commercial spaces. 

Surgical robots performing minimally invasive procedures with high precision will benefit healthcare. Rehabilitation robots and exoskeletons will transform physical therapy and mobility, while robotic prosthetics will offer enhanced functionality to those who need them. At the microscopic level, nanorobots will revolutionize drug delivery and medical procedures.

Agriculture will increasingly embrace harvesting and planting robots to automate crop management, with specialized versions for tasks like weeding and dairy farming. Autonomous vehicles and drone delivery systems will transform the transportation sector, while robotic parking solutions will optimize urban spaces.

Military and defense applications will include reconnaissance drones, bomb disposal robots, and autonomous combat vehicles. Space exploration will continue to rely on advanced rovers, satellite-servicing robots, and assistants for astronauts on space stations.

Underwater exploration robots and devices monitoring air and water quality will benefit environmental and oceanic research. Specialized robots designed for search and rescue operations will aid disaster response efforts.

Emerging categories like soft robots, made from flexible materials, and swarm robots working collaboratively, will open new possibilities. AI-enhanced robots with advanced decision-making capabilities will become increasingly autonomous and adaptable.

In short, according to Nvidia CEO Jensen Huang (during a March 17 speech), “Everything is going to be robotic.”

When everything is robotic, what would humanoid robots do? 

Musk’s prediction that humanoid robots will be teachers, babysitters, dog walkers, lawn mowers, grocery shoppers, bartenders, and friends showcases a toxic and misguided vision.

It’s misguided because nearly everything will already be robotic by the time Musk’s robots are capable of autonomous action. (To be clear, Tesla Optimus robots are nowhere near as advanced as Musk tried to make everyone believe at Tesla’s recent “We, Robot” event. 

Consider, as one isolated example, the “robots will mow your lawn” claim. Musk imagines a bipedal humanoid robot in the front yard pushing a mower, an obviously ridiculous scenario.

Robotic mowers are already a banality. These appliances — sort of like Roomba vacuum cleaners, but for cutting grass instead of vacuuming floors — last for years and quietly and autonomously barber turf all day, avoiding flower beds and sidewalks without fail.

Current global sales exceed 1.5 million robotic mowers per year, at an average price of $1,200 — the same price as the cheapest Apple iPhone 16 Pro Max. Within five years, annual robotic lawn mower unit shipments are expected to reach seven million per year. Anyone with a little money and a distaste for mowing a lawn can buy one. There is no unmet need here for  $50,000 humanoid robots. 

This is also true for all the other jobs specified and unspecified by the Musks of the world. Robotic devices are already doing that work. So what’s left for humanoid robots to do?

The vision is toxic because, once you eliminate the tasks and jobs specialist robots will already be doing, what remains is the replacement of human connection. This very social and familial interaction is what makes us human. 

Let’s start with dog walking. We get a dog so that we can enjoy the incredible connection that’s possible between a person and a dog. We feed a dog, pet a dog, hang out with a dog, and, yes, walk a dog because the experience of caring for a dog is clearly gratifying and meaningful for both species. Outsourcing our relationship with our dogs to an AI machine is (to be blunt) cold and horrible. We care for a dog for the bond and the relationship. We walk a dog in the morning for the ritual, for the exercise, and, above all, for the happiness that fulfilling the dog’s need to explore (and defecate) brings us.

Elderly companionship? Personal friendship? Education? Childcare? Why does anyone assume that a walking toaster fulfills the essential human need for empathy, connection, and care? People need to look into the sentient and conscious eyes of another human being. It’s literally the first and most basic human need. 

Everything about the humanoid-robot-as-a-friend idea gives me the creeps.

The founder of the AI lab Midjourney, David Holz, posted on X in January that “we should be expecting a billion humanoid robots on earth in the 2040s and a hundred billion (mostly alien) robots throughout the solar system in the 2060s,” and Musk agreed with this post. 

Such visionaries have what, to me, is clearly the wrong vision, and a disturbing one. We shouldn’t want AI robots to replace people in our lives and trick us into believing they’re human. 

We should want non-humanoid robotic devices to do repetitive, dangerous, boring, and menial work so we can spend more time doing creative, fulfilling work and also spend more time with our parents, kids, and, yes, our pets. 

Let the machines do the work. Let’s reserve our humanity for people and pets.

Source:: Computer World

AI probably isn’t the big smartphone selling point that Apple and other tech giants think it is

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By The Conversation As is their tradition at this time of year, Apple announced a new line of iPhones last week. The promised centrepiece that would make us want to buy these new devices was AI – or Apple Intelligence, as they branded it. Yet the reaction from the collective world of consumer technology has been muted. The lack of enthusiasm from consumers was so evident it immediately wiped over a hundred billion dollars off Apple’s share price. Even the Wired Gadget Lab podcast, enthusiasts of all new things tech, found nothing in the new capabilities that would make them want to upgrade…This story continues at The Next Web

Source:: The Next Web

Best Buy Black Friday deals: 12 best offers you can shop now

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White House tells intelligence agencies: Use more AI

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In a first, US President Joseph R. Biden Jr. issued a national security memorandum today telling federal intelligence agencies they need to pilot and deploy artificial intelligence (AI) in an effort to boost the nation’s security.

The memo is directed at the National Security Agency, the Federal Bureau of Investigation, the Department of Defense, and the Department of Energy and specifically tells the agencies to use AI to track and counter adversaries’ development and use of the technology.

The edict also directs the agencies to ensure AI adoption “reflects democratic values and protects human rights, civil rights, civil liberties and privacy.” The plan is to coordinate efforts with US allies “to ensure the technology is developed and used in ways that adhere to international law while protecting human rights and fundamental freedoms.”

Joel Meyer, president of public products at AI services provider Domino Data Lab, said the memo is obviously aimed at preventing US adversaries from achieving “overmatch” by making the integration and application of AI in US military and national security capabilities an urgent priority.

“This memo takes an important step in both accelerating innovation and adoption and in ensuring that use is responsible and governed by putting in place guardrails for how US government agencies can, and just as importantly cannot, use AI,” Meyer said.

For example, Meyer said, the US Navy’s Project AMMO uses AI to support underwater target threat detection and to provide underwater drone operators with feedback data to increase operator confidence. “The [memo] builds a foundation of trust that allows programs like this one to scale by both accelerating innovation and adoption and ensuring that use is responsible and governed,” Meyer said.

The US agencies will also be responsible for increasing the security for, and diversity of, advanced computer chips to power compute-hungry AI models. The CHIPS Act is attempting to increase funding for new fabs and R&D facilities. To date, much of the money has been allocated, but not dispersed to chip makers.

“Our competitors want to upend US AI leadership and have employed economic and technological espionage in efforts to steal US technology,” the memo states. “This [order] makes collection on our competitors’ operations against our AI sector a top-tier intelligence priority, and directs relevant US Government entities to provide AI developers with the timely cybersecurity and counterintelligence information necessary to keep their inventions secure.”

The memo directs actions to improve the security and diversity of chip supply chains, and to ensure that, as the US supports the development of the next generation of government supercomputers and other emerging technology, the nation does so with AI in mind.

The government’s AI efforts will be overseen by the existing AI Safety Institute, which is housed within the National Institute of Standards and Technology (NIST) in Gaithersburg, MD. The White House said it’s the one body staffed by technical experts who understand the quickly evolving technology.

The order also lays out strengthened and streamlined mechanisms for the AI Safety Institute to partner with national security agencies, including the intelligence community, the Defense Department, and the Department of Energy.

Source:: Computer World

Microsoft: Updating Windows 11 will now be faster and easier

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Microsoft recently rolled out Windows 11 version 24H2 and, though there are some bugs in the update, the company is outlining on its Windows IT Pro blog that the management of updates has been significantly improved.

Among other changes the company highlighted, users should find that installing updates is now up to 46% faster; the time required to restart the computer is up to 40% less; and CPU usage should be up to 25% less than in the past.

Microsoft also rolled out various optimizations to Windows 11 that mean the updates do not take up as much storage space as before.

Source:: Computer World

A Complete Unknown: Timothée Chalamet talks the importance of Bob Dylan and live music

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How your online world could change if big tech companies like Google are forced to break up

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By The Conversation The US Department of Justice may be on the verge of seeking a break-up of Google in a bid to make it less dominant. If the government goes ahead and is successful in the courts, it could mean the company being split into separate entities – a search engine, an advertising company, a video website, a mapping app – which would not be allowed to share data with each other. While this is still a distant prospect, it is being considered in the wake of a series of rulings in the US and the EU which suggest that regulators are…This story continues at The Next WebOr just read more coverage about: Google

Source:: The Next Web

FC 25 Guide to Pro Clubs: 2024 Guide

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Qualcomm’s license battle with Arm puts many AI-enabled Copilot+ PCs in peril

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As its long-running dispute with Arm turned into a war of words this week, the stakes for chip giant Qualcomm and its technology partners, including Microsoft, couldn’t be higher.

Along with MediaTek and Apple, Qualcomm is one of the biggest suppliers of chips for use in smartphones and tablets.  As PCs, smartphones, and automobiles acquire more AI capabilities, the increasingly powerful Snapdragon Elite platform is supposed to be Qualcomm’s big move into those arenas.

Now the dispute with Arm, which has been rumbling on since 2022 over Qualcomm’s right to develop the ARM-based Oryon CPU core in its chips, threatens to derail the whole project. To clarify, ARM is the architecture, Arm is the company.

According to Bloomberg, and independently verified by PC World, Arm recently issued a 60-day notice of cancellation of Qualcomm’s Oryon license.

Disputes over intellectual property (IP) and licensing are common in tech, but the report garnered an unusually spiky response from a Qualcomm spokesperson, which suggests the confrontation might be more serious.

“This is more of the same from Arm — more unfounded threats designed to strongarm a longtime partner, interfere with our performance-leading CPUs, and increase royalty rates regardless of the broad rights under our architecture license.”

According to the spokesperson, the timing of Arm’s move was connected to an impending court date in December.

“Arm’s desperate ploy appears to be an attempt to disrupt the legal process, and its claim for termination is completely baseless. We are confident that Qualcomm’s rights under its agreement with Arm will be affirmed. Arm’s anticompetitive conduct will not be tolerated.”

Of course, it probably didn’t help Qualcomm’s mood that the news emerged smack in the middle of the company’s major Snapdragon Summit 2024, held in Maui this week.

Why does Oryon matter?

Qualcomm’s Snapdragon Elite platform comprises four system-on-a-chip (SoC) microprocessors aimed at different market segments: X Elite for Windows PCs, the 8 Elite for smartphones and tablets, the Elite Cockpit for automotive systems, and the Elite Ride for automated driving.

All use ARM-based cores in different configurations: the Oryon CPU as a general microprocessor, the Hexagon neural processing unit (NPU) to accelerate AI capabilities, and the Adreno graphics processing unit (GPU) for graphics.

It is the first of those, the Oryon CPU core originally acquired when Qualcomm bought Nuvia in 2021, that is at the heart of the dispute between the two companies. Arm claims that the agreement it had with Nuvia to develop Oryon did not transfer to Qualcomm, and that any agreements it had with Qualcomm were separate. Buying Nuvia didn’t alter this fact.

Could this affect business PCs?

The dispute is complicated by the involvement of Microsoft, which heads a list of PC makers using Qualcomm’s X Elite platform to push AI-enabled PCs.

That should be good news. After a long dip, the PC market has looked up in the last year, increasing 3.4% year-over-year in Q2 2024, according to figures from Canalys, the third quarter in a row to register growth.

Previous attempts to get Windows running on ARM floundered, but this time Qualcomm has made good with X Elite. Having decided that AI-enabled PCs are a new paradigm, Microsoft will want the dispute to be resolved as soon as possible.

The same goes for Qualcomm’s other PC partners, including Acer, Asus, Dell, HP, Lenovo, and Samsung, all of which have developed models using the same platform. In addition to Microsoft’s Surface Pro and Surface Laptop, models based on X Elite include Lenovo’s Yoga Slim 7x 14, HP’s OmniBook X, Acer’s Swift 14 AI, and various laptops in Dell’s XPS, Latitude, and Inspiron ranges.  

All feature Copilot+, each promotes the claimed performance boost and hugely improved battery life of the X Elite, and most are at the more expensive business end of the price charts.

PCs with Intel and AMD processors also qualify as Copilot+ certified, so any failure to resolve the dispute, or defeat for Qualcomm, won’t disrupt AI capabilities from appearing in Windows laptops, but the Oryon core is also used in high-end smartphones and tablets due for release in the coming weeks.

The market assumption is that the companies will resolve the dispute before it reaches court, not least because of the uncertainty its continuation would create for both. That’s how numerous other licensing and IP disputes in tech end up being quietly forgotten.

That didn’t stop the pair’s share prices from taking a dive as news of the squabble’s latest development became public, a sign that some think this dispute is bound to hurt at least one of the companies.

Source:: Computer World

Space rover tests ‘natural intelligence’ based on insect brains

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By Thomas Macaulay

In a simulation of Mars, a space rover is testing a control system with an unusual inspiration: insect brains. The software was created by Opteran, a startup based in the UK. But the idea originated from research on bugs. Scientists at the University of Sheffield had been studying the brains of insects. They discovered remarkable neurological efficiency. A honeybee’s brain, for instance, only contains about 1 million neurons. A human brain, by contrast, has around 86 billion. But the bee mind’s tiny size belies its impressive power. It’s capable of complex navigation, obstacle avoidance, and communication. It also functions with formidable energy…

This story continues at The Next Web

Source:: The Next Web

Ericsson’s return-to-office policy is causing trouble

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During the pandemic, working from home was the order of the day at Ericsson. But as employees started to return, it was decided two years ago to have a 50 percent attendance in the office — a policy that was never really followed up, according to Jessica Nygren, vice chairman of the Swedish Association of Graduate Engineers’ local branch at Ericsson.

Now the company wants to see more people in the office, and at the end of the summer it announced a new policy: 60 percent attendance.

The company’s press officer Ralf Bagner described it as “a minor adjustment in the guidelines to increase clarity.”

“Today, Ericsson has a hybrid guideline based on the fact that we believe in the human encounter. We also believe that there should be a purpose to where an individual or team chooses to work. This results in an office-first mindset among managers and employees,” he said via email.

Jessica Nygren describes the change very differently.

“The decision came very suddenly, without warning, which meant that many managers took it straight at their word. Every day we see horror examples where managers state that employees should come in three days a week, full days. But it is stated in the policy that it is about 60 percent of the working time over a year, which makes a fairly big difference. To follow it to the letter strangles flexibility,” she said.

Rules without reason

Bagner wrote, “Ericsson’s hybrid guideline has always given every manager, employee and team the opportunity to work in dialogue on how and where they work best and that everyone understands the importance and benefits of meeting, from an individual and team perspective, and from a social and cultural perspective.”

But this is not what it looks like in practice, according to the union.

“We also believe that the company needs a greater presence in the office — developers need to brainstorm to find new products going forward — but no motive has been presented for us to use this particular model.

As it looks now, many are in a bind according to Jessica Nygren. Some of the employees come from other locations where Ericsson has previously had operations that have downsized or disappeared. They have then been offered a position in Kista but have remained in Örebro or Gävle. Now they are suddenly required to commute five, six hours a day, three days a week.

And when they arrive, the office may be full already.

“If you’ve been commuting for several hours, you want an adequate workplace: We’re supposed to be inside 60 percent of the time, but there are only seats for 50 percent of the staff, so you have to puzzle. In some places there is a lot of space left, in others not. Yesterday, for example, two of my colleagues sat in the toilet and took meetings because there was no room. Others go out and get in the car,” she says.

Not opposed

At the same time, Jessica Nygren emphasizes that the union is not against more people coming into the office, but that it is a process that should be allowed to take some time and be better adapted to different individuals.

“If we had been told that they wanted to increase the presence in the offices, we would have given the thumbs up. But then perhaps they should have announced that it would be launched after the turn of the year and that they took in feedback in the meantime. Are there parking spaces? What is commuting? How can we attract people — instead of with “push” as today, it would be better with “pull”.

Managers should also avoid having a harsh policy imposed on them and be able to decide what works in their particular work group, according to Jessica Nygren — someone may need to be in the office for more than three days while someone else can work more from home.

From the union’s side, however, they think they have a good dialogue with CEO Börje Ekholm, who has clarified in his weekly newsletters that “one size” does not fit all.

“Now the company management just has to get the other managers to understand it — as it looks now, the employees do not feel safe and they do not feel welcome in the office in cases where they are squeezed by the new policy,” says Jessica Nygren.

Source:: Computer World

HP Launches OmniBook Ultra Flip: 2-in-1 with Long Battery Life

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Tech bosses think nuclear fusion is the solution to AI’s energy demands – here’s what they’re missing

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By The Conversation

The artificial intelligence boom has already changed how we understand technology and the world. But developing and updating AI programs requires a lot of computing power. This relies heavily on servers in data centres, at a great cost in terms of carbon emissions and resource use. One particularly energy intensive task is “training”, where generative AI systems are exposed to vast amounts of data so that they improve at what they do. The development of AI-based systems has been blamed for a 48% increase in Google’s greenhouse gas emissions over five years. This will make it harder for the tech…

This story continues at The Next Web

Source:: The Next Web

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