By Siôn Geschwindt Dutch battery startups must innovate at “critical pinch points” in the supply chain to compete globally, says Kevin Brundish, CEO of Eindhoven-based battery company LionVolt. The comments come at a tough time for Europe’s battery sector, which has been left reeling following the recent collapse of Northvolt. The Swedish startup’s gigafactories were perhaps the continent’s greatest hope for a homegrown battery success story.  Northvolt’s failure serves as a cautionary tale of the immense challenges in scaling battery production, from securing supply chains to managing infrastructure costs and maintaining investor confidence. But building big and building fast isn’t the only way…This story continues at The Next Web

Source:: The Next Web

Apple has been forced to admit what every company involved in artificial intelligence (AI) should also be forced to state — AI makes mistakes, just like people do. 

On the surface, it’s not a terribly big deal:

Apple’s AI badly mangled a handful of news headlines.

The BBC complained about the mangling.

Because it was a story about Apple, everyone discussed it.

Apple was eventually forced to answer the criticisms and come up with a plan of action to make things better in the future. 

What that plan means is that the company will update Apple Intelligence “in the coming weeks” with an update that will in some way clarify when a notification has been summarized by AI.

The idea behind this is that people reading those headlines will know that there could be a machine-generated error (as opposed to an error by humans) in the news they are perusing. The inference is, of course, that you should question everything you read to protect yourself against machine-generated error or human mistakes. 

Question everything: Human, or AI

The humans who generate news are up in arms, of course. They see the complaint as a cause celebre from which to make a stand against their own eventual replacement by machines. The UK National Union of Journalists, Reporters Without Borders and the head of Meta’s Oversight Board (if that board still exists by the end of the week) have all pointed to these erroneous headlines to suggest Apple’s AI isn’t yet up to the task. (Though even Apple’s critics point out that part of the problem is that even under human control, public trust in news has already sunk to record lows.)

Those critics also argue that telling users that a news headline has been generated by AI doesn’t go far enough. They argue that it means readers must confirm what they read. “It just transfers the responsibility to users, who — in an already confusing information landscape — will be expected to check if information is true or not,” Vincent Berthier, head of RSF’s technology and journalism desk, told the BBC. 

But is that really such a bad thing? Shouldn’t readers of human-generated news reports already be checking what they read?

French philosopher and media literacy theory thought leader Michel Foucault would argue that every reader of any news brand should run what they read through an effective framework of critical media analysis. He would urge readers to “criticize the workings of institutions that appear to be both neutral and independent.”

That includes Apple, of course, as well as the BBC — or even me.

Why this and not that?

The idea — and it really isn’t a complicated one — is that it is rare you should unquestioningly believe what you read, no matter who wrote it, human or machine.

What is written is one thing, why it is written is another. In this case, why has the BBC focused particularly on Apple’s error, rather than exploring the other errors that come with AI?

To some extent the story misses the biggest point: if AI isn’t yet ready to handle a task as relatively trivial as automatic news headline summaries, then this bodes badly for all the other things we’re being told AI should be used for. By inference, it means every AI system, from autonomous vehicles to public transit management or even machine intelligence supported health services can make mistakes. 

Knowing that machines makes errors might help people better prepare to handle those errors as they transpire. As AI becomes more widely deployed, it becomes very important to plan for what to do when things go wrong.

The relatively trivial Apple News headline story’s biggest take-away is that things will go wrong, so what are we going to do when that happens — particularly when the errors made are more serious than a headline.

Why mistakes happen

One more difference between human and machine is that it is not always possible to identify where AI errors originate. After all, in most cases, human error can be discussed and its reasons for existing understood.

In contrast, machine-driven errors take place in response to whatever algorithms are used to drive the AI, relationships and decision making processes that may not be at all transparent — the so-called “black box” problem machine intelligence practitioners have been concerned about for decades. At times, this could mean the logic prompting those errors isn’t visible, which means mistakes can easily recur.

It is not just Apple Intelligence that “hallucinates,” either. All the machines hallucinate, and it’s incredibly important to recognize this before too much discretionary power is given to them. It would also be useful to see major news corporations take a deeper look into the extent to which AI reflects the prejudices of those who own it, rather than trivializing this important matter around discussion of a single brand.

There is a danger, after all, that AI in news becomes a living example of centralized media ownership on steroids, weaving a mirror of the world that reflects a narrowing outlook.

We need tough scrutiny for AI

Given that AI is expected to have a profound impact on culture and society, it seems important to give its implementation serious scrutiny. At the very least, Apple’s proposed solution — to ensure humans can easily identify when AI has been used to decide a news headline — seems a relevant first step towards putting such scrutiny in place.

We should demand the same transparency wherever AI is applied — such as health insurance payment denials, for example. That’s as true for Apple (itself currently planning to extend Apple News into new markets) as it is for anyone else in the business of using AI to get things done.

At the end of the day, the story is not the headline. The story is why the headline was put there in the first place. At Apple. And at the BBC.

You can follow me on social media! Join me on BlueSky,  LinkedIn, Mastodon, and MeWe. 

Source:: Computer World

By Nick Godt EV government incentives are supported by 67% of Americans, according to a survey.

Source:: Digital Trends

By Deepti Pathak Armadillos are one of the newest additions to Minecraft’s animal world, and breeding them can be…
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By Deepti Pathak Shopping on Amazon is simple, but figuring out how to use your favorite payment methods can…
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By Christine Romero-Chan CES 2025 is kicking off in Las Vegas. Here’s all the hottest tech news to come out of the pre show.

Source:: Digital Trends

By Nick Mokey As Americans become increasingly skeptical of technology’s role in our society, can a trade show like CES help usher back an age of optimism?

Source:: Digital Trends

By Siôn Geschwindt In the 1977 Star Wars film A New Hope, there’s an iconic scene where the beloved droid R2-D2 casts a beam of light to create a hologram of Princess Leia pleading for the help of Obi-Wan Kenobi. Sadly, almost 50 years on, we’re not much closer to the true holograms science fiction promised us, let alone the teleportation devices and flying cars.  Yes, we have AR and VR headsets like Microsoft’s HoloLens or Apple’s Vision Pro, but those simply use transparent screens to give the effect of a hologram. Even Tupac’s famous “live” Coachella performance 16 years after his death…This story continues at The Next Web

Source:: The Next Web

Christmas Eve (and Christmas Day) are arguably the most important time-frame for transportation companies. So it was a big deal when an American Airlines system glitch forced the airline to ask the government for a full shutdown on Christmas Eve. And it was an even bigger deal the next day for Bane NOR, which runs the Norwegian rail system and had to shut down all trains in Norway.

Both involved IT issues and both were mostly — if not entirely — caused by third-party firms. Now, third-party risks are nothing new. But few CIOs truly internalize that one error from a vendor can shut down all enterprise operations. That’s a lot of trust to offer an outside company that typically undergoes minor due diligence, assuming it was subjected to any meaningful due diligence at all.

What happened with these Christmas nightmares? Let’s drill into each and note how the two transportation giants differed in their approach.

The more interesting of the two was the Norwegian train shutdown, which lasted 13 hours on Christmas Day, from roughly 8 a.m. until 9 p.m. The problem: trains couldn’t communicate with any traffic control centers, which meant they couldn’t operate safely. The cause: a bad firewall setting.

Let that sink in. Because systems today overwhelmingly run through the internet, firewalls can and will block anything. Until this incident, how many IT managers at Bane NOR realized a firewall setting could shut down every train everywhere?

That was a key reason for the long delay in getting the trains back online. When communications stop, managers think the communications gear is somehow failing.

“It took us a while before we could trace it to a firewall issue. It was not one of the obvious causes to look at,” Strachan Stine Smemo, the Bane external communications manager, said in an email to Computerworld. “It was tricky to find the problem.”

Bane’s team opted against changing any firewall settings and instead — as a temporary measure — switched communications to a different firewall. (They later changed the impacted components, Smemo said.)

Arild Nybrodahl, Bane’s information and communications technology director, said his team detected “system instability” on Christmas Eve, which is when “troubleshooting efforts were initiated.” Things didn’t get bad enough to shutdown operations until 8 a.m. the next day, he said. 

“The fault affected the railway’s closed mobile network (GSM-R) and other critical communication systems,” Nybrodahl said. “When any emergency calls and other communication between the train and the train conductor do not work, we cannot operate trains. We have located where the error lies in our own nationwide IT infrastructure and we are now working on a solution to correct the error. We have not yet corrected the root cause, but have taken measures so that the part of the network where the error was located is isolated from the rest of the infrastructure.”

Unlike American Airlines, Bane did not identify the relevant third-party and even praised that vendor’s efforts. Bane received “good help from our supplier,” Smemo said. 

American Airlines, however, not only identified the vendor at issue as DXC, but went out of its way to tell reporters that the problems it ran into were that vendor’s fault. This is known as throwing a partner under the bus.

It’s not clear precisely what happened between the two companies, as neither have discussed the particulars. But American made those comments shortly after the one-hour outage ended. That means emotions were at play, and someone at at the airline was very unhappy.

(DXC is likely unhappy, too, since its stock price has taken a hit.)

Though DXC has been a longtime supplier to American — the DXC website says “more than 20 years” — but it’s not precisely clear what role it had in the shutdown. The company has some role in the airline’s flight operations systems and has been working to modernize American’s systems, including moving legacy code to the cloud. 

The airline blamed a network hardware issue, without being specific, that forced the airline to ask the US Federal Aviation Administration for a nationwide group stop that ended up lasting about an hour.

According to a report on MSN , the incident delayed more than 900 flights affecting “around 900,000 passengers across 200 US airports, leaving many stranded and sleeping in terminals.”

Given that both of these incidents happened on major holidays, one obvious factor is that the companies had only skeleton crews on duty. Though it’s unlikely that holiday staffing caused either situation, it likely slowed down the responses.

One other wrinkle in the DXC situation: the company on Christmas Eve was already in the middle of an IT leadership change. CIO Kristie Grinnell had given notice about her move to a new job as CIO of TD SYNNEX. That was announced on Dec. 19; two weeks later DXC announced its new CIO would be Brad Novak. 

The problem with throwing a vendor partner under the bus — aside from the fact you haven’t done a full investigation or determined who’s at fault —is that it leaves important questions unanswered. Did this third-party firm have the appropriate skills and personnel to deliver what it was supposed to deliver? If not, then shouldn’t the fault lie with whoever hired that firm?

Let’s say the selection process was appropriate. The question then becomes, “Who was supposed to oversee that vendor?” And was the vendor given everything needed to do the job?

From the perspective of shareholders, the fault is more often going to lie with the people who overseeing and bringing in the outside firm. Unless the third-party company ignored instructions or engaged in bad behavior, most mishaps are going to be blamed on the enterprise.

Put bluntly, an enterprise that is quick to blame a contractor is likely trying to change the subject before its own failings are examined.

Source:: Computer World

By Hisan Kidwai Inspired by the much-loved Jujutsu Kaisen Anime series, Jujutsu Infinite is a popular RPG fighting game…
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By Hisan Kidwai NBA 2K24 is the biggest basketball game, allowing people to play as their favorite star and…
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By Hisan Kidwai Shindo Life is a great Roblox game inspired by the ever-popular Naruto anime series. In the…
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Virtually every aspect of technology has been affected, and potentially improved, by artificial intelligence (AI). PCs are no exception. While the meaning of “AI PC” is still evolving, it generally refers to a computer specifically designed to excel at AI-powered tasks. These beefed-up computers typically feature: 

High-end CPUs and GPUs to handle the demanding computational requirements of AI applications such as AI assistants that automate tasks, schedule meetings, answer emails, and provide personalized recommendations and data analysis and visualization.

Dedicated AI accelerators like Neural Processing Units (NPUs). These specialized chips are optimized for AI tasks such as machine learning, deep learning, and natural language processing. 

Pre-installed AI-powered software such as AI assistants (like Microsoft Copilot), creative tools, and AI-enhanced productivity applications. 

Will AI PCs play a big role in 2025 and beyond?

As AI becomes more integrated into daily use, the demand for powerful computers capable of handling AI workloads will grow and provide new levels of productivity by automating tasks, generating creative content, and providing intelligent assistance.  AI PCs are also designed to improve the user experience with AI-powered features like voice assistants, intelligent search, and personalized recommendations to enhance the overall user experience.

Key players in the AI PC market

Intel is building CPUs with built-in AI acceleration capabilities.  

AMD is heavily investing in AI-powered processors with its Ryzen AI processors designed for AI-driven experiences. 

Nvidia, arguably the leader in GPU technology,  continues to drive AI performance with its powerful processors. 

And Qualcomm’s Snapdragon processors, which allow for on-device AI processing. are increasingly integrated into Windows PCs.

Related AI PC coverage

2025: The year of the AI PC

October 24, 2024: Forrester has tagged 2025 “the Year of the AI PC” — and if the number of recent product announcements is any indication, that’s likely to be the case. Gartner Research projects PC shipments will grow by 1.6% in 2024 and by 7.7% in 2025. The biggest growth driver will be due, not the arrival of not AI PCs, but to the need by many companies and users to refresh their computers and move toward Windows 11.

How soon will AI PCs replace traditional PCs in the enterprise?

Sept. 25, 2024: There’s much anticipation among enterprises and consumers alike for AI PCs, However, as with any new technology, it’s unclear when AI PCs will finally have their moment. Gartner forecasts that 43 million AI PCs will be shipped in 2024. IDC predicts even more — 57 million units — will be shipped in 2024. And by 2028, AI PCs will represent 92% of all PC shipments worldwide.

What does Qualcomm’s interest in buying Intel’s chip design business mean for the future of PCs?

Sept. 11, 2024: Qualcomm, Intel, AMD, and Apple have been in a fierce battle for domination of the chip market for AI PCs, which are touted as the future of computing. Further ramping up competition in this fiery landscape, Qualcomm has reportedly explored buying portions of Intel’s design business, most notably client PC design, as Intel looks to spin off units ahead of an upcoming board meeting, anonymous sources told Reuters.

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

July 9, 2024: The AI hype keeps on coming. The latest news is the arrival of an entirely new line of Windows computers, Copilot+ PCs, which are specifically designed with AI in mind. Microsoft claims they’ll dramatically speed up AI, offer new features unavailable to other PCs, and deliver improved battery life. The new machines point the way to the future of Windows and of AI.

Microsoft’s Copilot+ AI PCs: Still a privacy disaster waiting to happen

June 12, 2024: Many security pros say Microsoft is opening a Pandora’s Box with its AI-powered Copilot+ Windows PCs. Microsoft argues those new PCs, available as of June 18, will make it easy for users to find files and remember things you’ve done on your computer using the new Recall feature, which takes screenshots, stores them in a database, and uses AI to help you find and use whatever you want. Despite warnings by security pros, Microsoft claims rock-solid security is baked directly into the new feature.

Review: The M4 iPad Pro — an amazing AI PC

May 17, 2024: The M4 iPad Pro is designed to provide the best possible performance thanks to the M4 chip inside. Apple suggests it needed to use this processor because it wanted to make the iPad Pro thin and to drive the amazing display. The move to M4 also means you get a huge leap in processor performance (1.5x faster than the last model) and graphics (4x faster rendering). Deploying this chip means the iPad Pro with M4 could become the world’s ultimate AI-driven tablet.

Enterprises want AI PCs, just not yet

April 23, 2024: While the employee benefits of using an AI PC are intriguing, they may not be enough to convince IT buyers to go all in just yet. Despite the enthusiasm generated  by advanced AI-driven functionalities, enterprises are expected to adopt a more measured approach over the next year, according to Forrester.

Microsoft is holding back the ‘AI PC’ revolution

March 13, 2024: The PC industry has a big problem. And it’s not hardware makers’ fault — it’s Microsoft’s responsibility. The hardware is here: Intel, AMD, Nvidia, and PC makers have delivered on their end. Now, everyone is waiting for Microsoft to catch up and make Windows truly shine on these AI PCs. Can the company deliver something compelling in time?

Dell ramps up ‘AI PC’ plans with Latitude and Precision refresh

Feb. 27, 2024: Dell unveiled a range of new laptops and PCs featuring neural processing units (NPUs) designed to run AI workloads on-device for improved video call quality and better laptop battery life.  Dell is one of several hardware vendors looking to benefit from growing interest in AI PCs.

Before you buy a Windows 11 AI PC, read this

Jan. 17, 2024: AI PCs were everywhere at CES 2024, and companies like Intel, AMD, NVIDIA, and Qualcomm are all touting how great their hardware is at running AI tasks.  But since these “AI PCs are already on shelves and you can buy them before CES 2024, we need to cut through the hype and focus on what you’re getting for your money. They might one day deliver a lot of cool features — just not yet.”

Source:: Computer World

The reintroduction of neutrality rules for network providers is looking increasingly unlikely, at least for the next five years, after a US appeals court blocked efforts by the US Federal Communications Commission (FCC) to reinstate them.

The US Court of Appeals for the Sixth Circuit court upheld its earlier stay on the FCC’s May 2024 Safeguarding and Securing the Open Internet Order, effectively pausing the policy’s return.

The net neutrality rules require that providers of telecommunications services treat all traffic equally, but give providers of information services more freedom to filter or prioritize what they transmit. The FCC’s view on whether internet service providers (ISPs) provide telecommunications or information services has flip-flopped over the years.

Originally, the FCC classified ISPs as information services, exempt from the most stringent rules, but under the Obama administration it shifted position to treat them as telecommunications services. During President Trump’s first term of office his appointee as FCC chairman, Ajit Pai, reversed that shift — only for President Biden’s appointee, Jessica Rosenworcel, to attempt to bring ISPs once again under the net neutrality provisions.

That move foundered on January 2 with the appeals court’s ruling.

“We hold that Broadband Internet Service Providers offer only an ‘information service’ […], and therefore, the FCC lacks the statutory authority to impose its desired net-neutrality policies through the ‘telecommunications service’ provision of the Communications Act,” the court order read. “Nor does the Act permit the FCC to classify mobile broadband — a subset of broadband Internet services — as a ‘commercial mobile service’ […] and then similarly impose net-neutrality restrictions on those services,” the order stated. “We therefore grant the petitions for review and set aside the FCC’s Safeguarding Order.”

The appeals court based its argument, in part, on the ending of the so-called Chevron deference principle. This principle, which once required courts to defer to agency interpretations of ambiguous laws, was ended by a US Supreme Court ruling in June 2024, and has widespread regulatory consequences for IT departments.

With Rosenworcel’s term of office drawing to a close, it seems unlikely that the FCC will continue to pursue the reinstatement of net neutrality rules for ISPs. Trump’s pick as her replacement, Brendan Carr, favors market-led innovation over federal oversight.

Implications for enterprises

With net neutrality off the table for now, enterprises face an unregulated internet landscape that could favor large ISPs. ISPs can legally prioritize or throttle specific traffic, forcing businesses to pay premiums for reliable, high-speed access to cloud services, SaaS applications, or online collaboration tools. Without rules preventing practices like throttling or prioritizing traffic, companies reliant on stable, fast internet connections may face increased operational costs.

The absence of net neutrality is particularly concerning for smaller businesses. These businesses may struggle to compete if ISPs offer premium services to larger firms at higher prices. The lack of affordable, equitable access also risks disrupting digital transformation plans across industries.

For enterprises, the Sixth Circuit’s ruling is a clarion call to adapt to an increasingly market-driven internet landscape. It underscores the growing importance of proactively securing reliable and cost-effective internet services, as policy uncertainty looms over digital commerce and operations.

A longer timeline for reinstatement

The court’s ruling suggests net neutrality rules return will remain stalled for at least the duration of the Trump administration. As President-elect Donald Trump prepares to take office, his administration is expected to maintain the deregulatory trajectory set under the Biden administration. Trump has aligned with Carr’s market-driven vision, opposing federal oversight of ISP practices.

Analysts predict that with Trump’s re-election priorities, policies like the suspended FCC ruling will take a backseat to broader economic goals. The absence of net neutrality for another five years is all but assured.

Broader implications: a geopolitical lens

The absence of net neutrality also carries global implications. The US decision sets a precedent for other nations grappling with the balance between regulatory oversight and market freedom. In regions where state-controlled internet infrastructure dominates, the delay in net neutrality restoration in the US may limit policy inspiration for protecting smaller stakeholders in the internet economy.

This context places additional pressure on US enterprises that compete globally. Their ability to innovate, streamline operations, and scale may be hampered without equitable internet access.

Source:: Computer World

By Nick Mokey CES 2025 will bring our first glimpse at the wall-devouring TVs of our future, a head-spinning array of AI-powered gadgets, and yes, an aircraft carrier van with a drone that launches out of its back.

Source:: Digital Trends

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OpenAI has failed to release the tool to opt-out or customize data collection the company promised to make available by 2025, according to Techcrunch.

OpenAI is one of several generative AI (genAI) companies that have faced criticism for training their AI models on copyrighted material without permission from the owners. The companies have instead argued that the AI ​​training should be classified as fair use (known as the concept of “fair use” in US law).

In May 2024, Open AI said a “Media Manager” tool would be able to identify copyrighted text, images, audio and video to reflect creators’ preferences across multiple sources. According to Techcrunch, however, the tool has never been further prioritized internally at the company.

OpenAI has so far not commented on the delay of Media Manager, or given any update on when the tool might be released.

Source:: Computer World

Combined with its existing solutions, Apple’s strategic approach to artificial intelligence (AI) deployment could make a radical difference to public health. Here is how it could achieve that.

Apple has already told us that achieving better health through better choices is fundamental to its approach. “Our goal is to empower people to take charge of their own health journey,” said Dr. Sumbul Desai, Apple’s vice president of health, in 2023. 

While knowledge is power, anyone who’s ever sent themselves into a tidal wave of panic when searching for information on their own symptoms online should know that applying it effectively isn’t always easy. Everyone is different, with varying polarities around health. What works for some might work more effectively if optimized and personalized for others, reflecting unique characteristics such as age, weight, or gender.

Help is coming. We’ve known for a while that Apple hopes to be part of that solution, which is why it is developing AI to optimize the choices people take.

What difference does it make?

Multiple studies show how making better choices can help keep you healthy. It has already been shown that the iPhone and Apple Watch can help identify early onset of dementia, Parkinsons, respiratory diseases, and sleep apnea. More recently, the Apple-introduced Vitals app seems to be providing people with early warnings that they’re about to get sick; the company has also created tools to empower Apple’s customers with better insights into their own mental health. Apple’s vision for health straddles all its devices, including AirPods Pro, which now act as bona fide hearing aids and hearing test systems. 

What problems might these technologies alleviate? 

The World Health Organization predicts diabetes will impact 1.3 billion people by 2050, up from 830 million in 2022. Cardiovascular disease kills 17.9 million people each year. The third biggest killer, chronic respiratory disease, affects around seven in every 100 people on earth. The estimated cost of chronic disease is expected to reach $47 trillion globally by 2030. What all three conditions have in common is that they can in part be mitigated by early intervention lifestyle changes and better self-care decisions. 

Better health, one step at a time

Sure, it’s not a panacea — people near you will still suffer from health problems. But positive lifestyle changes can mitigate, prevent, and manage these conditions, at least some of the time. But, ultimately, it’s not just the lives saved when using Emergency SOS via Satellite from a remote location that matter, it’s also the many that may never encounter problems as a direct result of taking 10,000 steps a day and closing all the Activity rings on their Apple Watch.

The Health app is a major component of all of this. Think of it as a digital hub. Not only does it gather information from all your devices, but it also sucks in data from some third-party services and has the capacity to share and ingest information with health professionals. All those insights are private and personal to you, and Apple wants to keep it that way. 

All of its systems aim to gather as little data as possible about you. When it comes to health, the intention is to ensure your data doesn’t enter the surveillance economy, (though Apple’s privacy commitment could yet be torn apart by clumsy regulation).

But is it safe?

In taking this approach, Apple is grappling with the biggest challenge to wider deployment of AI. In response to the ever-corroding experience of intrusive surveillance advertising and the challenge of privacy protection in a digital age, people are reluctant to share health data. By crafting systems that don’t require direct access to your data, Apple has an opportunity to unlock the potential benefits of personal health AI without also creating another attack surface against digital privacy. 

The risk is that if the company is forced to open up its systems, it might also be forced to open up your personal health data to third-party firms with which you don’t have the same depth of trust. With that in mind, it’s understandable the company might not introduce these systems if regulators insist on exposing personal information to outside companies less committed to privacy.

To avoid this, Apple must convince governments that the benefits of digital privacy far outweigh the costs of removing it. It needs to be able to build a health OS that can support third-party developers while also protecting user data. The prize? The opportunity to build a powerful personalized preventative AI-augmented health care anyone can hook themselves into for the price of an Apple One subscription. The risk? An incredibly intrusive exfiltration of personal information. 

You can follow me on social media! Join me on BlueSky,  LinkedIn, Mastodon, and MeWe. 

Source:: Computer World

By Hisan Kidwai Blade Ball is a popular Roblox game where players must dodge and deflect a deadly ball…
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