By Hisan Kidwai Inspired by the popular anime and manga series Black Clover, Grimoires Era is a fighting game…
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By Nadeem Sarwar Owing to pressure from EU regulators, Apple could allow users to replace Siri as the default virtual assistant on their devices, reports Bloomberg.

Source:: Digital Trends

By Deepti Pathak Internet slang changes fast, and sometimes you’ll see something in a message or a post that…
The post TIFU Meaning in Texts Explained: Use Cases & Examples appeared first on Fossbytes.

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This May Patch Tuesday release is very much a “back-to-basics” update with just 78 patches for Microsoft Windows, Office, Visual Studio, and .NET. Notably, Microsoft has not released any patches for Microsoft Exchange Server or Microsoft SQL Server.

Due to the concerns of publicly reported exploits for five Windows vulnerabilities, the Application Readiness team has recommended a “Patch Now” schedule for Windows and a standard release cadence for the other platforms. To help navigate these changes, the team from Readiness has provided a helpful infographic detailing the risks of deploying updates to each platform.

Known issues

There are still reports of issues with devices with Citrix Session Recording Agent (SRA) version 2411 installed on Windows 10 platforms. This is an ongoing issue, with no further reported fixes or updates from Citrix or Microsoft. Otherwise (at the time of writing), Microsoft has not reported any issues with this month’s update for its Windows desktop and server platforms.

Major revisions and mitigations

Microsoft has not published any major revisions or mitigations to its patches and security fixes for this May.

Windows lifecycle and enforcement updates

Microsoft has not published any enforcement updates this month.

Testing guidance

Each month, the team at Readiness analyzes the latest Patch Tuesday updates from Microsoft and provides detailed, actionable testing guidance. This guidance is based on assessing a large application portfolio and a comprehensive analysis of the Microsoft patches and their potential impact on Windows platforms and application deployments.

We have broken the most significant changes into feature-based groupings to help with testing prioritization. The Readiness team recommends the following areas for testing for the May Patch Tuesday patch cycle:

Remote Desktop, security, and identification

Test your Remote Desktop Gateway configurations. Establish sessions through the gateway and reconnect a few times to ensure stability.

Validate VPN creation, connection, and deletion. Also test fast reconnection and password change flows with PEAP-MSCHAPv2.

Load system level crypto libraries and validate CheckSignatureInFile behavior using legacy (2011) certificates.

Test secure boot scenarios, especially if running dual-boot with Linux. Ensure all logins work after this month’s updates.

Run PowerShell modules with and without AppLocker policies to confirm policy enforcement integrity.

Media and codecs

Check your subtitles in MKV formats for Blu-ray playback.

Test audio/video recording using both internal and external devices.

Validate DRM-protected content, especially in Microsoft Edge and Office apps. Testing regimes should include a cycle of playback, record, and stream — then check your system logs for crashes or errors.

Storage and filesystems

Perform Windows error log creation, appends, and reopen scenarios using Common Log File System APIs.

Simulate SMB folder access from multiple windows. Changes in one view should reflect in the other.

Validate UNC path access across apps. Run these tests with Microsoft Explorer and line-of-business apps that access network shares or log files.

Installation and application infrastructure

Given the focus of the Readiness team, it would be remiss to forget the changes to Microsoft’s update and application infrastructure with the following tests:

Conduct basic install, repair, roll-back and uninstall tests for MSI Installer packages. This process should be (mostly) automated by now.

If you’re an organization that employs App Silos, you will need create a test cycle that includes invoking the BFS driver via an isolated app context

Run web, file transfer, and messaging scenarios to test network throughput under load.

In addition to these specific test exercises, we highly recommend a full business logic test of your internal and line-of-business applications that have significant graphics requirements. This is required due to the changes to the Windows kernel and GDI (graphic) subsystems).

Readiness recommends your testing in priority in the following order: RDP and remote access, application installations, PowerShell testing, and then storage system testing.

Updates by product family

Each month, we break down the update cycle into product families (as defined by Microsoft) with the following basic groupings:

Browsers (Microsoft IE and Edge)

Microsoft Windows (both desktop and server)

Microsoft Office

Microsoft Exchange and SQL Server

Microsoft Developer Tools (Visual Studio and .NET)

Adobe (if you get this far)

Browsers

Microsoft has not released any native updates for its browsers this month. However, there were five Chromium updates (CVE-2025-4050, CVE-2025-4372, CVE-2025-4096, CVE-2025-4052, and CVE-2025-405) that will update Microsoft Edge. All of these low-profile changes can be added to your standard release calendar.

Microsoft Windows

Microsoft has released three critical updates, plus 41 patches rated as important. The critical updates affect Microsoft’s Remote Desktop platform and the Virtual Machine bus (VMBus).

Unfortunately, the following Windows desktop updates have been reported as exploited in the wild:

CVE-2025-30400

CVE-2025-32701

CVE-2025-32706

CVE-2025-32709

CVE-2025-30397

As a result of these zero-days, the Readiness team recommends a “Patch Now” schedule for these Windows patches.

Microsoft Office

Microsoft has released two critical rated updates (CVE-2025-30377 and CVE-2025-30386) for the Microsoft Office platform this month. Both of these patches were updated mid-week for documentation reasons.

Following these critical patches, Microsoft has released a further 16 patches that have been rated as important; they update Microsoft Office in general (as opposed to Word or Excel). Please add these Microsoft Office updates to your standard release calendar.

Microsoft Exchange Server

No updates for Microsoft Exchange or Microsoft SQL server this month. Good news for all the server teams.

Microsoft development platforms

A single critical update (CVE-2025-29813) to the Microsoft DevOps platform and four patches rated as important by Microsoft have been released to the developer platforms this month. All of the patches rated as important affect Visual Studio and Microsoft .NET. Add these updates to your standard release schedule.

Adobe Reader (if you get this far)

No Adobe updates (published by Microsoft) for this May patch cycle. Given the recent security advances implemented in Windows 11 23H2 and 24H2, I think that we will see much less of Adobe in this column.

Source:: Computer World

By Nick Godt Stellantis is dropping the Dodge Charger Daytona R/T for 2026

Source:: Digital Trends

Meta Platforms (Nasdaq:META) has decided to delay the public release of its most ambitious artificial intelligence model yet — Llama 4 Behemoth. Initially expected to debut at Meta’s first-ever AI developer conference in April, the model’s launch was pushed to June and is now delayed until fall or possibly even later.

Engineers at Meta are grappling with whether Behemoth delivers enough of a leap in performance to justify a public rollout, The Wall Street Journal reported. Internally, the sentiment is split — some feel the improvements over earlier versions are incremental at best.

The delay doesn’t just affect Meta’s timeline. It’s a reminder to the entire AI industry that building the most powerful model isn’t just about parameter count—it’s about usefulness, efficiency, and real-world performance.

Sanchit Vir Gogia, chief analyst and CEO at Greyhound Research, interprets this not as a standalone setback but as “a reflection of a broader shift: from brute-force scaling to controlled, adaptable AI models.”

He said that while Meta has not officially disclosed a reason for the delay, the reported mention of “capacity constraints” points to larger pressures around infrastructure, usability, and practical deployment.

What’s inside Llama 4 Behemoth?

Behemoth was never intended to be just another model in Meta’s Llama family. It’s intended to be the crown jewel of the Llama 4 series, designed as a “teacher model” for training smaller, more nimble versions like Llama Scout and Maverick. Meta had previously touted it as “one of the smartest LLMs in the world.”

Technically, Behemoth is built on a Mixture-of-Experts (MoE) architecture, designed to optimize both power and efficiency. It is said to have a total of 2 trillion parameters, with 288 billion active at any given inference — a staggering scale, even by today’s AI standards.

What made Behemoth especially interesting was its use of iRoPE (interleaved Rotary Position Embedding), an architectural choice that allows the model to handle extremely long context windows—up to 10 million tokens. That means it could, in theory, retain far more contextual information during a conversation or data task than most current models can manage.

But theory doesn’t always play out smoothly in practice.

“Meta’s Behemoth delay aligns with a market that is actively shifting from scale-first strategies to deployment-first priorities,” Gogia added. “Controlled Open LLMs and SLMs are central to this reorientation — and to what we believe is the future of trustworthy enterprise AI.”

How Behemoth stacks up against the competition

When Behemoth was first previewed in April, it was positioned as Meta’s answer to the dominance of models like OpenAI’s GPT-4.5, Anthropic’s Claude 3.5/3.7, and Google’s Gemini 1.5/2.5 series.

Each of those models has made strides in different areas. OpenAI’s GPT-4 Turbo remains strong in reasoning and code generation. Claude 3.5 Sonnet is gaining attention for its efficiency and balance between performance and cost. Gemini Pro 1.5, from Google, excels in multimodal tasks and integration with enterprise tools.

Behemoth, in contrast, showed strong results in STEM benchmarks and long-context tasks but has yet to demonstrate a clear superiority across commercial and enterprise-grade benchmarks. That ambiguity is believed to have contributed to Meta’s hesitation in launching the model publicly.

Gogia noted that the situation “reignites a vital industry dialogue: is bigger still better?” Increasingly, enterprise buyers are leaning toward SLMs (Small Language Models) and Controlled Open LLMs, which offer better governance, easier integration, and clearer ROI compared to gargantuan foundation models that demand complex infrastructure and longer implementation cycles.

A telling sign for the AI industry

This delay speaks volumes about where the AI industry is heading. For much of 2023 and 2024, the narrative was about who could build the largest model. But as model sizes ballooned, the return on added parameters began to flatten out.

AI experts and practitioners now acknowledge that smarter architectural design, domain specificity, and deployment efficiency are fast becoming the new metrics of success. Meta’s experience with smaller models like Scout and Maverick reinforces this trend—many users have found them to be more practical and easier to fine-tune for specific use cases.

There’s also a financial and sustainability angle. Training and running ultra-large models like Behemoth requires immense computing resources, energy, and fine-grained optimization. Even for Meta, this scale introduces operational trade-offs, including cost, latency, and reliability concerns.

Why enterprises should pay attention

For enterprise IT and innovation leaders, the delay isn’t just about Meta—it reflects a more fundamental decision point around AI adoption.

Enterprises are moving away from chasing the biggest models in favor of those that offer tighter control, compliance readiness, and explainability. Gogia pointed out that “usability, governance, and real-world readiness” are becoming central filters in AI procurement, especially in regulated sectors like finance, healthcare, and government.

The delay of Behemoth may accelerate the adoption of open-weight, deployment-friendly models such as Llama 4 Scout, or even third-party solutions that are optimized for enterprise workflows. The choice now isn’t about raw performance alone—it’s about aligning AI capabilities with specific business goals.

What lies ahead

Meta’s delay doesn’t suggest failure — it’s a strategic pause. If anything, it shows the company’s willingness to prioritize stability and impact over hype. Behemoth still has the potential to become a powerful tool, but only if it proves itself in the areas that matter most: performance consistency, scalability, and enterprise integration.

“This doesn’t negate the value of scale, but it elevates a new set of criteria that enterprises now care about deeply,” Gogia stated. In the coming months, as Meta refines Behemoth and the industry moves deeper into deployment-era AI, one thing is clear: we are moving beyond the age of AI spectacle into an age of applied, responsible intelligence.

Source:: Computer World

By Deepti Pathak TikTok is constantly dropping new features that catch people’s attention, but sometimes they can get pretty…
The post What Does Nudge Mean on TikTok? appeared first on Fossbytes.

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By Siôn Geschwindt Swiss tech startup Metafuels has unveiled plans to open its first commercial-scale sustainable aviation fuel (SAF) plant in the Port of Rotterdam.  Metafuels’ CEO Saurabh Kapoor told TNW that Turbe represents a “major step forward” toward ramping up SAF production. The startup also announced plans to build a similar facility in Denmark last year. “Europe has ambitious decarbonisation targets, but without scalable and affordable SAF production, aviation will struggle to keep up,” said Kapoor.  The facility, dubbed Turbe, will be built in collaboration with liquid energy storage provider Evos. Turbe will be integrated into Evos’ existing Rotterdam terminal, which offers…This story continues at The Next Web

Source:: The Next Web

By Thomas Macaulay A Russian-born gaming mogul has been named the UK’s richest person under 40 — in a ranking dominated by tech entrepreneurs. Dmitry Bukhman, 39, built his fortune after founding mobile gaming giant Playrix. His estimated wealth of £12.54bn tops The Sunday Times 40 Under 40 Rich List — and makes up over a third of its £36.2bn combined total. His net worth has nearly doubled since last year. As a child in post-Soviet Russia, Bukman taught himself to code. Alongside his older brother Igor, he built his first game with an old Pentium PC given to them by their grandfather.…This story continues at The Next Web

Source:: The Next Web

By Blair Marnell Get ready to spend the weekend on Hulu with Mission: Impossible – Rogue Nation and two other great movies!

Source:: Digital Trends

AI agents will fundamentally change the value of content and the way people work with data and files, said Aaron Levie, CEO of Box, during a Wednesday webcast that was part of the company’s Content+AI Virtual Summit.

The traditional approach to managing content is fundamentally changing with AI, Levie said.

Over the last two decades, Box has changed its focus from file storage to extracting value from content in those files. The company provides collaborative tools and integrates popular apps for users to work with those files and data.

Extracting value from the content in stored files will take on new meaning with AI. The amount of unstructured data within files has grown at an exponential pace over the last few decades, but most of the data is underutilized, Levie said.

AI will provide instant answers from unstructured data, fundamentally changing the value of content stored in systems. It will also automate workflows and introduce an AI-first culture, Levie said.

“We have the opportunity to drive an incredible amount of new experiences,” Levie said. “We need a better and modern way to manage information.”

Box has kept up with various stages in AI evolution, with integration of AI models and more recently AI agents. As AI advances, the vendor is allowing its clients to do more advanced data extraction, multi-step reasoning, and more complex task planning.

“We didn’t think about AI as an add-on capability on the side,” but as central to the Box platform, Levie said.

For example, the Box interface has an agent that can answer queries and work with content within specific folders. It provides multimedia responses to queries, linking to videos, charts, and citations within files stored in the system.

The company on Wednesday launched a series of new AI agents that serve different objectives, including a “Search” agent for basic results from files and a “Deep Research” agent that digs deeper into information for more comprehensive answers.

The Deep Research agent works with large volumes of enterprise content in files, summarizes findings, and provides links to relevant files.

Box is also integrating a new AI agent for Microsoft 365 Copilot, allowing users of Word, PowerPoint, and other software to work with data stored in Box systems.

In the coming years, Microsoft plans to integrate thousands of agents from third parties such as Box and Adobe to improve user productivity.

Many of Box’s competitors are also offering their own AI technology, though agent-to-agent integrations between vendors are growing.

Forrester Research has a roadmap for broad adoption of various agent technologies in coming years. It shows helper-style agents like the ones announced by Box taking off gradually in 2026.

Helper-style AI agents will see broad adoption by next year, according to Forrester. More complex agents capable of executive decision-making will take a little longer.
Forrester Research

But as AI agents advance to solving problems and making executive decisions, things will get more complex, said Craig Le Clair, vice president and principal analyst at Forrester.

There’s a huge gap between vendors of AI agents and the actual adoption profile of users and buyers, Le Clair said. “The gap that exists there is astounding,” he said.

Companies are advancing with AI agents, but it’s much more complex when it comes to sophisticated solvers and managing agents, Le Clair said.

“If you’re in a financial institution, you’ve built all these layers of process, control, risk mitigation, and reporting around the technology underneath. And you don’t change that easily, because it takes legal, compliance, meetings, security. It takes longer to change the processes that sit above the technology,” Le Clair said.

Source:: Computer World

Saudi Arabia unveiled a series of blockbuster AI partnerships with US chip makers, cloud infrastructure providers, and software developers this week, signaling its ambition to become a global AI hub.

Leveraging its $940 billion Public Investment Fund (PIF) and strategic location, Saudi Arabia is forming partnerships to create sovereign AI infrastructure including advanced data centers and Arabic large language models. Google, Oracle, and Salesforce are deepening AI and cloud commitments in Saudi Arabia that will support Vision 2030, a 15-year program to diversify the country’s economy.

Within that, the $100 billion Project Transcendence aims to put the kingdom among the top 15 countries in AI by 2030.

The deals announced during this week’s US-Saudi investment summit in Riyadh include a $20 billion commitment from Saudi firm DataVolt for AI data centers and energy infrastructure in the US and an $80 billion joint investment by Google, DataVolt, Oracle, Salesforce, AMD, and Uber in technologies across both nations, according to a White House fact sheet

The Riyadh summit, attended by US President Donald Trump and Saudi Crown Prince Mohammed bin Salman, drew tech luminaries including Nvidia CEO Jensen Huang and AMD CEO Lisa Su.

AI factories

Humain, an AI company backed by PIF, the Saudi sovereign wealth fund, was at the center of much of the deal-making. Nvidia said it will supply Humain with hundreds of thousands of its most advanced GPUs over the next five years with which the company will build “AI factories” with a capacity of up to 500 megawatts. The first of those will contain 18,000 Grace Blackwell GB300 systems, it said.

AMD announced a five-year, $10 billion collaboration with Humain to deploy up to 500 megawatts of AI compute in Saudi Arabia and the US, aiming to deploy “multi-exaflop capacity by early 2026.”

AWS, too, is expanding its data centers in Saudi Arabia to bolster Humain’s cloud infrastructure.

Saudi Arabia has abundant oil and gas to power those data centers, and is growing its renewable energy resources with the goal of supplying 50% of the country’s power by 2030.

“Commercial electricity rates, nearly 50% lower than in the US, offer potential cost savings for AI model training, though high local hosting costs due to land, talent, and infrastructure limit total savings,” said Eric Samuel, Associate Director at IDC.

Located near Middle Eastern population centers and fiber optic cables to Asia, these data centers will offer enterprises low-latency cloud computing for real-time AI applications.

Late is great

There’s an advantage to being a relative latecomer to the technology industry, said Eric Samuel, associate director, research at IDC. “Saudi Arabia’s greenfield tech landscape offers a unique opportunity for rapid, ground-up AI integration, unburdened by legacy systems,” he said.

Arun Chandrasekaran, distinguished VP analyst at Gartner, said the investments signify Saudi Arabia’s “ambition to become a central hub for AI development, rivaling established tech centers in the US and China.”

Other analysts weighed in on Saudi Arabia’s goals. Neil Shah, vice president research at Counterpoint Research, said the push could make it the next “oil hub” for AI, serving both local and global needs, while Amandeep Singh, practice director at QKS Group, said, “This isn’t just about money. It’s a strategic play to become a long-term AI power and a neutral meeting point for global AI.”

Despite the vast political and financial resources in play, though, the analysts forecast challenges ahead when it comes to attracting top talent, reducing reliance on Western chips, and building data governance trust.

While Saudi Arabia is a lucrative new market for companies such as Nvidia and AWS, “They must navigate questions of control and compliance,” said QKS Group’s Singh. Aligning with Saudi Arabia’s push for digital sovereignty requires a delicate balance between Western regulations, export restrictions, and the Kingdom’s drive for independence.

Political risks

IDC’s Samuel noted that initiatives like Humain can foster trust and alignment with national priorities, but added, “With the right oversight and governance, political risks can be managed and long-term AI development secured.”

Building a real AI power bloc in the Middle East is still a tough climb, the analysts said.

“Saudi Arabia’s ambition needs more than just cash to turn into real influence in the region,” said Singh. “They need shared tech foundations, common AI standards across countries, and everyone to agree on policies — and we’re not quite there yet.”

Making strong partnerships with other companies and countries will be key for Saudi Arabia to turn its big investments into lasting global influence, the analysts said, making sure its AI plans become more than just a showpiece.

Turning Saudi Arabia’s AI ambition into real regional power won’t be easy. “Money alone won’t get you there — you need shared foundations, aligned policies, and buy-in from the neighborhood,” said Singh.

Source:: Computer World

By Nick Godt Archer Aviation was named the exclusive air taxi provider for LA28.

Source:: Digital Trends

Microsoft faces more legal action in the UK, this time from a barrister named Alexander Wolfson who issued an opt-out class action claim this week alleging that public or private organizations in the UK that purchased certain software licenses (including for Microsoft Office and Windows) since October 1, 2015, were overcharged due to Microsoft’s market practices.

Wolfson, who retained the services of Stewarts LLP, a litigation-only law firm, said in a release issued on Wednesday, “Microsoft’s actions have had a significant and far-reaching impact on UK consumers, businesses, and public bodies.”

This claim, he said, “seeks to hold Microsoft to account and to secure compensation for the many affected members of the class. With billions of pounds potentially at stake, this case is about ensuring fairness in the digital marketplace and ensuring even the largest tech companies play by the rules.”

“Microsoft’s conduct has had a profound and costly impact on millions of individuals and private and public sector organizations that rely on its software for daily business operations,” said Kate Pollock, the head of competition litigation at Stewarts. “We believe that Microsoft abused its market dominance by imposing restrictive licensing practices that effectively shut down competition and inflated prices.”

Highlights an industry-wide issue

An FAQ created by the plaintiff explained the format of the suit: “Opt-out collective proceedings are a special form of court proceedings that enable a class representative to bring a claim on behalf of a defined class of persons in the UK affected by an infringement of competition law,” it said. “This means that if your organization fits within the class definition you will automatically be included in the claim and will be bound by any judgment or settlement unless you choose to opt-out of the proceedings.”

Ellora MacPherson, managing director and chief investment officer at Harbour, which has agreed to fund the case, described the suit as “likely to be one of the largest the UK has seen and is an example of how big corporate entities can be held to account.”

Forrester Senior Analyst Dario Maisto pointed out Wednesday via email, “this is not the first time that Microsoft gets attention for allegedly unfair commercial practices. Microsoft was also sued in the UK in 2024 over allegations that it overcharged Windows Server customers to use the software on competing cloud platforms.”

He added, “the Cloud Infrastructure Providers in Europe organization (CISPE) took a similar action on Microsoft’s licensing practices when its cloud computing competitors filed a complaint against Microsoft with the European Commission.”

According to Maisto, “while it is totally understandable why law firms and competitors keep engaging in such lawsuits against Microsoft, we should finally admit that these are all symptoms of a bigger issue, that is, people and organizations’ extreme [dependence] on third-party proprietary solutions and a fundamental lack of alternative standards.”

This is, he said, the problem that we as an IT industry need to solve, as we cannot keep relying on specific lawsuits to address — one at a time — all the problems of what we could start to define now as a much broader market disfunction.” 

Computerworld reached out to Microsoft for a comment but at press time had not received a response.

Source:: Computer World

By Nick Godt GM and LG Energy are developing a new battery-cell tech to lower the cost of EVs.

Source:: Digital Trends

By Nick Godt Toyota’s bZ electric SUV brings major upgrades on range and charging.

Source:: Digital Trends

By Siôn Geschwindt As Europe pushes for tech sovereignty, one open-source advocate has a warning: don’t forget global cooperation. Amanda Brock, CEO of industry group OpenUK, told TNW that the EU must “get real” about the trade-offs of going it alone. Brock said tech policymakers must move beyond “tit-for-tat schoolyard politics” and instead “protect global collaboration whilst ensuring the needs of their citizens are met.”   Her comments follow a speech by Eva Maydell in Brussels yesterday, where the Bulgarian lawmaker urged Europe to “sober up” in its quest for tech independence.   “We need to have a very clear outline plan which, first and foremost,…This story continues at The Next Web

Source:: The Next Web

A report that crossed my desk today should be of interest to any enterprise seeking to get bigger benefits from their existing training budgets: it suggests that Apple’s soon-to-be growing family of visionOS devices really can boost training.

Researchers evaluated a 12-week electrical contracting certification program delivered at a facility in New Jersey. During the course, instructors used both traditional classroom and hands-on teaching alongside three modules developed by BILT for Apple Vision Pro.

The combination delivered impressive results, according to the report.

Spatial reality is good for learning

Apparently spatial computing can help with training with measurable results:

Students using the Apple devices completed the course almost 24% faster than classes using traditional curriculum alone.

76% of the class tracked at least three weeks ahead of schedule, while 88% were 2.5 weeks ahead.

93% of students said they felt ready to apply their new skills in the field. 

Student engagement increased by 50%; learners liked that immersive content allowed them to practice hands-on without risking damage, injury, or delay. 

The retention of knowledge also increased. Preliminary analysis suggests that observed retention of course material directly supplemented with spatial learning improved from 30%, including vocabulary and terminology retention, to 90% compared to cohorts.

In every measured metric, students completed learning tasks faster using visionOS than they did without, which gave instructors considerable additional class teaching time.

These should all be seen as significant outcomes. They suggest that using Apple’s spatial reality devices can and do deliver big improvements in training. You can watch a short overview of the results here.

Apple and the blending of reality

It also looks as if this kind of XR training can help students eliminate some errors completely. The study suggests that reverse polarity and sheathing errors were eliminated entirely (from 18% and 20% respectively, to 0%), while some wiring errors were reduced by 90%. It clearly makes a huge difference to some learners to interact with things in the virtual world while learning — “visual learners” are a thing; we knew it, and the tech leans deep into serving that need effectively. 

“BILT for Apple Vision Pro catapults students over the steep learning curve,” said BILT CEO Nate Henderson. “The study underscores how powerful immersive training can be for a new generation of workers.”

Of course, it should be considered that BILT’s report would make claims of this kind, given that delivering learning experiences in extended reality is part of what the company is all about. But the data — gathered through a range of metrics — aligns with what we’ve heard before.

We are seeing ever more illustrations of this kind of use, including Endo’s Spatial Computing Injection Simulator introduced last month, CAE’s Vision Pro-based pilot training solution, or the way the tools are used at Dassault Systèmes. Just as surgeons have already experimented with using VisionPro during surgery to collaborate with experts remotely to help handle challenging cases, BILT notes the potential for field service and other engineers to call in help with their own complex tasks.  

We do need some education

But when it comes to training, the big takeaway seems to be that use of visionOS helps make sure students get it right first time, which can boost confidence and make them more likely to get something right again. 

“Project one has so many fundamentals,” said Electrical Instructor, Kristian Desjardin. “Students seeing BILT on the Apple Vision Pro set the fundamentals up correctly from the beginning. If they mount their boxes right the first time, they’re going to mount right the second time. If they put their sheathing in the first time, it’s not going to take them until the third time. And that’s what we saw in projects 1-10.”

The instructors also claimed that they got their students through their learning grades far faster than they had before.

Can this work for everyone? It’s wise to maintain a certain incredulity when you experience stories of this kind, but the indication is that there are some learning tasks that really benefit from visionOS devices — and that using them may help people learn faster and more effectively. The inference has to be that such tools might yet enable swift skills education on a local, national, or even international level, which could help resolve some strategic skill gaps.

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

Source:: Computer World

By Siôn Geschwindt Google DeepMind’s AI systems have taken big scientific strides in recent years — from predicting the 3D structures of almost every known protein in the universe to forecasting weather more accurately than ever before.  The UK-based lab today unveiled its latest advancement: AlphaEvolve, an AI coding agent that makes large language models (LLMs) like Gemini better at solving complex computing and mathematical problems.  AlphaEvolve is powered by the same models that it’s trying to improve. Using Gemini, the agent proposes programs — written in code — that try to solve a given problem. It runs each code snippet through automated…This story continues at The Next Web

Source:: The Next Web

By Hisan Kidwai Windows desktops have several different settings that you can tweak to get the most performance. One…
The post Should You Turn On Hardware-Accelerated GPU Scheduling? appeared first on Fossbytes.

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