What Is Microsoft Copilot?

Microsoft Copilot is the company's AI assistant, first introduced to the public on February 7, 2023, as a new Bing experience. It was later integrated into Windows 11, Microsoft Edge, Microsoft 365, and standalone apps for mobile and desktop. Copilot is powered by OpenAI's GPT-4 family of language models and is designed to help users complete tasks through natural language conversation.

With Copilot, a user can ask for a summary of a dense PDF, request a draft of an email, generate a presentation outline, create a playlist, or get answers to complex questions. The assistant can also generate images using DALL-E and help with coding in tools like GitHub Copilot, although GitHub Copilot is a separate product. Microsoft has expanded Copilot from a purely consumer chatbot into an enterprise platform with Copilot Studio, custom agents, and workflow automation.

Copilot is available at no cost in its basic form. The free tier includes access to GPT-4o with a limited number of conversations per day, plus image generation and web search. For frequent users, Microsoft offers Copilot Pro, a subscription that costs $20 per month. Copilot Pro provides priority access to the latest models, faster performance, and AI capabilities inside Office apps. There is also Microsoft 365 Copilot for organizations, which has different licensing and is often bundled with business productivity plans.

What Is a Copilot+ PC?

In May 2024, Microsoft unveiled a new category of Windows computers called Copilot+ PC. The name is used to identify hardware that meets a specific set of requirements for advanced artificial intelligence. It is not a version of the Copilot app, nor is it a service plan. It is a label attached to laptops, tablets, and all-in-one computers that are certified to handle AI workloads directly on the device.

The core requirement is a neural processing unit, or NPU, that delivers at least 40 trillion operations per second (TOPS). Microsoft has also required a minimum of 16 gigabytes of RAM and 256 gigabytes of solid-state storage. These specs are intended to ensure that local AI models run smoothly without slowing down other applications. The first wave of Copilot+ PCs used Qualcomm Snapdragon X Elite and X Plus chips, followed by laptops with AMD Ryzen AI 300 processors and Intel Core Ultra 200V processors.

The Copilot+ PC platform brings a set of exclusive features to Windows. These include Windows Studio Effects, which uses the NPU to improve video and audio quality; Live Captions, which provides real-time translation of audio; Cocreator, an AI image generation tool in Paint; and Recall, a timeline search tool that creates searchable snapshots of past activity. Many of these features run locally, meaning they do not require an internet connection or cloud processing.

How the Names Cause Confusion

Part of the problem is that Microsoft itself often uses Copilot to describe both the assistant and the hardware platform. The plus sign in Copilot+ PC is easy to overlook, and many people write it as Copilot Plus. In everyday conversation, a user might say they are buying a Copilot Plus laptop when they actually mean a Copilot+ PC. Meanwhile, the Copilot app on their screen is the assistant. This leads to questions about whether one comes with the other, and whether a subscription is required.

To be clear: a Copilot+ PC includes the Copilot assistant as part of Windows, but the assistant also runs on millions of older PCs. Conversely, owning a Copilot+ PC does not automatically give you premium features like Copilot Pro or Microsoft 365 Copilot. The hardware creates the potential for certain AI tools to work, but the cloud-based assistant still requires an account and may require a separate subscription for advanced functionality.

Key Differences at a Glance

The most direct comparison can be made across several dimensions:

• Category: Copilot is a software application. Copilot+ PC is a hardware certification.
• Requirements: Copilot runs on almost any modern Windows device. Copilot+ PC requires an NPU with at least 40 TOPS, 16 GB RAM, and 256 GB SSD.
• Primary function: Copilot answers questions, generates content, and automates workflows. Copilot+ PC accelerates local AI tasks and enables exclusive Windows features.
• Deployment: Copilot is distributed through Windows, Edge, mobile apps, and the web. Copilot+ PC is built into specific laptop and desktop models.
• Cost: The Copilot assistant has a free tier and a paid Pro tier. Copilot+ PC is a hardware purchase with no separate software license fee for the platform itself.
• Connectivity: The Copilot chatbot needs internet access for cloud-based language models. Many Copilot+ PC features, like Windows Studio Effects and Live Captions, work offline.

Hardware and Performance Differences

Copilot's performance on a standard PC depends mostly on the speed of the internet connection and the quality of the cloud model. The local hardware is rarely the bottleneck because most prompts are sent to Microsoft's data centers. That is why even a low-cost laptop with weak specifications can run Copilot: the heavy computation happens elsewhere.

A Copilot+ PC behaves differently. It has a dedicated NPU that is designed for sustained AI inference with low power consumption. This means tasks such as background blur, voice noise suppression, and translation can happen in real time without using the CPU or GPU. The system can also run a small local language model called Phi-Silica to generate text, summarize content, and perform other tasks without sending data to the cloud. This creates a meaningful performance advantage for users who need quick AI responses while preserving battery life.

In benchmark tests, Copilot+ PCs often show better energy efficiency for AI workloads than notebooks without an NPU. However, the actual benefit varies depending on the software. Some applications still rely on the cloud because Microsoft has not yet optimized them for local processing. As Windows developers update their applications to use the Windows AI APIs, the NPU will play a larger role in everyday computing.

Privacy, Security, and the Recall Debate

One of the biggest selling points of a Copilot+ PC is privacy. With on-device processing, your prompts, photos, and audio do not need to be sent to a cloud server. This is particularly important for businesses and healthcare professionals who handle sensitive information. Local AI also works when there is no internet connection, making it reliable for travel and remote locations.

But the hardware does not automatically make every AI interaction private. The Copilot assistant in the cloud still processes your conversations through Microsoft's servers. Microsoft says it uses anonymized data to improve its services, but a user who wants maximum privacy should prefer local features. That is why the Copilot+ PC platform matters: it gives users a choice between cloud-based intelligence and local processing.

Microsoft's Recall feature, initially announced as a tool to search and retrieve past activity, raised widespread privacy concerns. Researchers and users worried that the feature could create a security risk if an attacker gained access to the PC. Microsoft responded by delaying the release, making Recall an opt-in feature, and requiring Windows Hello authentication to access the timeline. The controversy illustrates the trade-off between convenience and privacy in AI hardware.

Which One Do You Need?

If you already own a laptop that is less than three years old, you do not need to rush out and buy a Copilot+ PC just to use Copilot. You can download the Copilot app or use it inside Edge and Windows. The basic chat experience will work, and many Microsoft 365 AI features are available through the cloud.

However, if you spend a lot of time in video calls, need real-time language translation, or want to use AI-powered image editing directly on your device, a Copilot+ PC is worth considering. The NPU makes these features more responsive and potentially less expensive in terms of battery use. It also future-proofs your machine for upcoming Windows AI features that will rely on local hardware.

For many users, the ideal setup is both. A Copilot+ PC gives you the full Windows AI experience, while the standard Copilot assistant remains available as a powerful cloud-based productivity tool. The choices are not either/or. They are complementary pieces of Microsoft's overarching strategy to put AI into every layer of the operating system.

Key Facts to Remember

• Copilot is Microsoft's AI assistant, available on Windows, Edge, mobile, and the web.
• Copilot+ PC is a hardware category defined by an NPU that delivers at least 40 TOPS.
• Copilot runs on both ordinary Windows computers and Copilot+ PCs.
• Copilot+ PCs include exclusive features like Windows Studio Effects, Cocreator, Live Captions, and Recall.
• Local AI processing on a Copilot+ PC can be faster, more private, and more battery-efficient than cloud-only AI.
• Copilot Pro is a separate $20-per-month subscription and is not required to use a Copilot+ PC.
• When shopping, look for the official Copilot+ PC logo instead of relying on the word Copilot.

Source: Windows Central News

The Rise of the Handheld Gaming PC

The idea of a portable PC capable of playing modern AAA games is not entirely new. For years, companies like GPD and Ayaneo produced small, clamshell or slate-style devices that ran Windows and featured integrated graphics. However, these early attempts were often hampered by high prices, limited availability, and subpar performance. The true turning point came with the announcement and subsequent release of the Valve Steam Deck in 2022. Built around a custom AMD APU, the Steam Deck offered a level of performance and price that seemed almost unbelievable at the time. It ran a Linux-based operating system called SteamOS, which was optimized for gamepad input and seamless access to the Steam library. The device quickly became a cultural phenomenon, selling out for months and proving that there was a massive demand for a portable PC gaming experience.

The success of the Steam Deck did not go unnoticed. Within a year, major PC manufacturers like ASUS, Lenovo, and MSI entered the fray with their own Windows-based handhelds. The ASUS ROG Ally, powered by the AMD Z1 Extreme chip, boasted a 120Hz display and a more traditional Windows 11 interface. Lenovo followed with the Legion Go, which featured a larger 8.8-inch screen and detachable controllers reminiscent of the Nintendo Switch. MSI introduced the Claw, one of the first handhelds to use Intel's Meteor Lake processors. This sudden influx of competition led to rapid innovation, with each new device pushing the envelope in terms of performance, battery life, and ergonomics.

Key Hardware and Performance Considerations

When evaluating a handheld gaming PC, several hardware components are critical to its success. The central processing unit (CPU) and integrated graphics (GPU) are the heart of the system, determining which games can run and at what settings. AMD has been the dominant force in this space, with its custom APUs like the Van Gogh (Steam Deck) and Phoenix (ROG Ally, Legion Go) offering a good balance of power efficiency and graphical capability. Intel's entry with Meteor Lake has provided an alternative, though early benchmarks suggest it lags slightly behind AMD in raw gaming performance.

Memory is another essential factor. Most modern handhelds come with 16GB of LPDDR5 RAM, which is shared between the CPU and GPU. This is sufficient for current games, but future titles may demand more. Storage is typically provided by NVMe SSDs, with capacities ranging from 256GB to 1TB. Many devices also include a microSD card slot for expandable storage, though this can result in slower load times compared to internal drives.

The display quality is equally important. The Steam Deck features a 7-inch IPS panel with a 1280x800 resolution and 60Hz refresh rate, which is adequate but not exceptional. The ROG Ally and Legion Go have pushed higher, offering 1080p and 1600p resolutions respectively, along with refresh rates up to 144Hz. This allows for crisper visuals and smoother motion, but it also places a greater demand on the GPU. As a result, many users opt to lower the resolution or enable upscaling technologies like FSR (FidelityFX Super Resolution) to maintain playable frame rates.

Battery life is often the Achilles' heel of handheld gaming PCs. Running demanding games at high settings can drain a battery in under two hours. Manufacturers have attempted to mitigate this through larger capacity batteries (typically around 40-50Wh) and more efficient chipsets. However, the reality is that any handheld PC will struggle to match the battery endurance of a dedicated console like the Nintendo Switch. For many users, this means that a handheld PC is best used while plugged in or for shorter gaming sessions.

The Software Landscape: Windows vs. SteamOS

One of the biggest differences between handheld gaming PCs is the operating system. The Steam Deck runs SteamOS, based on Arch Linux, which boots directly into a gamepad-friendly interface called "Game Mode." This interface is designed for quick access to your Steam library, and it supports thousands of games through Valve's Proton compatibility layer. Proton translates Windows-only games to run on Linux, and while compatibility is not perfect, the vast majority of games either work flawlessly or require minimal tweaking. The main advantage of SteamOS is its seamless, console-like experience, which is ideal for a portable device.

In contrast, Windows-based handhelds like the ROG Ally and Legion Go run Windows 11, which provides out-of-the-box compatibility with almost every PC game and game launcher, including Game Pass, Epic Games Store, and Battle.net. This is a huge advantage for users who want to play titles that are not available on Steam or that require anti-cheat software that does not work under Proton. However, Windows is not optimized for touch and gamepad input, and navigating the desktop with a thumbstick can be awkward. To address this, ASUS and Lenovo have developed custom software overlays that provide a gamepad-friendly launcher and quick access to performance settings. While these overlays help, they are not as polished as SteamOS.

This software dichotomy is a central consideration for potential buyers. If you primarily play Steam games and want a hassle-free experience, the Steam Deck is an excellent choice. If you need guaranteed compatibility with all PC games and prefer to tinker with system settings, a Windows handheld might be more suitable. Some users have even installed Windows on their Steam Decks and Linux on other handhelds, but this requires a certain level of technical expertise.

Major Players and Their Offerings

Valve Steam Deck and Steam Deck OLED

The original Steam Deck, released in February 2022, offered three storage tiers: 64GB eMMC, 256GB NVMe SSD, and 512GB NVMe SSD. In late 2023, Valve released the Steam Deck OLED, which featured a larger 7.4-inch OLED display with a 90Hz refresh rate, a slightly improved AMD APU, more efficient cooling, and a bigger battery. The OLED model quickly became the go-to version, offering a significantly better screen and improved battery life. Valve also started selling a refurbished OLED model, making the device more accessible.

ASUS ROG Ally and ROG Ally X

The ASUS ROG Ally was launched in June 2023. Powered by the AMD Z1 Extreme (or the entry-level Z1) and featuring a 7-inch 1080p 120Hz display, it delivered strong performance in a compact form factor. However, it faced criticism for its mediocre battery life and the fact that it used a microSD card slot that could be prone to overheating. ASUS addressed these issues with the ROG Ally X, released in 2024, which doubled the battery capacity to 80Wh, increased RAM to 24GB, and moved the microSD slot to a more accessible location. The Ally X also included a new, more ergonomic chassis and faster charging.

Lenovo Legion Go

Lenovo's Legion Go, released in October 2023, stands out for its 8.8-inch QHD+ display (2560x1600) and its detachable controllers, which are inspired by the Nintendo Switch and the Steam Controller. It also includes a built-in kickstand, making it possible to prop the tablet-like screen on a table. The Legion Go uses the AMD Z1 Extreme chip and offers up to 1TB of storage. Its larger size and weight (around 854 grams) make it less portable, but the big screen and immersive controls appeal to a certain segment of gamers.

MSI Claw

MSI entered the market in early 2024 with the Claw, the first handheld gaming PC to use Intel's Core Ultra processors (Meteor Lake). The Claw featured a 7-inch 1080p 120Hz display and a 53Wh battery, but it received mixed reviews due to performance that lagged behind AMD competitors and a higher starting price. MSI later released a refresh, the Claw 8 AI+, with a larger 8-inch screen and improved cooling, but Intel's integrated graphics still struggle to match AMD's RDNA 3 architecture in gaming workloads.

The Impact of Software and Ecosystem

The success of a handheld gaming PC is heavily influenced by the software ecosystem around it. Valve has invested heavily in making SteamOS playable on a wide range of hardware, not just the Steam Deck. This has led to the development of third-party gaming handhelds that run SteamOS, such as the Ayaneo Next Lite and the GPD Win 4. However, these devices often come with their own quirks, and Valve has yet to officially support other hardware configurations.

Microsoft, on the other hand, has been relatively quiet on the handheld front. Windows 11 remains a general-purpose OS, and Microsoft has not created a dedicated gamepad-optimized mode. That said, the company has introduced innovations like Xbox Game Pass, which is a major selling point for Windows handhelds. With a Game Pass Ultimate subscription, players can stream games from the cloud or download them natively, making a Windows handheld an excellent choice for value-oriented gamers.

The open nature of Windows also means that users can install virtually any software, from emulators to productivity apps. This turns a handheld gaming PC into a mini-computer that can be used for browsing, media consumption, and even light work. Many users report using their Steam Deck as a secondary PC, connecting it to a monitor and keyboard when needed.

Future Trends and Innovations

As the handheld gaming PC market matures, several trends are likely to shape its future. One of the most significant is the adoption of more efficient chip architectures. Both AMD and Intel are working on next-generation APUs that promise higher performance-per-watt. AMD's next-gen APU, codenamed "Strix Point," is expected to feature an updated GPU architecture that could deliver ray tracing and AI upscaling capabilities on handhelds. Intel is also developing Battlemage integrated graphics, which could close the gap with AMD.

Another trend is the increasing use of upscaling technologies like FSR and Intel XeSS. These technologies render games at a lower internal resolution and then upscale them to the display's native resolution, allowing for higher frame rates without sacrificing too much visual quality. This is especially important for handhelds, where the GPU is often the limiting factor. Future iterations of these technologies, including FSR 3 and XeSS 2, are expected to add features like frame generation, which can further boost performance.

Battery technology is also evolving, with silicon-carbon batteries promising greater energy density and faster charging. Some upcoming handhelds, like the Lenovo Legion Go S and the Ayaneo Kun, are already adopting this technology. In the near future, we could see handhelds with 100Wh+ batteries that last for five or more hours on a single charge, making them viable for long trips.

Cloud gaming is another wild card. Services like Nvidia GeForce Now, Xbox Cloud Gaming, and PlayStation Plus have made it possible to play AAA games on low-powered devices by streaming them over the internet. While handheld gaming PCs are powerful enough to run games locally, cloud gaming can extend their battery life and allow players to access games they might not have installed. However, cloud gaming relies on a stable, high-speed connection, which is not always available, particularly when traveling.

The Verdict on Handheld Gaming PCs

Handheld gaming PCs are not a replacement for a full-fledged gaming PC or a console. They are a complementary device, offering a unique way to play your favorite games on the go. The Steam Deck and its competitors have proven that there is a significant audience for this kind of product, and the rapid evolution of the hardware suggests that we are only at the beginning of this journey. Whether you are a hardcore gamer looking for a travel-friendly companion or a casual player who prefers the flexibility of a PC, a handheld gaming PC is worth considering.

With each new generation, these devices become more powerful, more efficient, and more user-friendly. The future of handheld gaming PCs is bright, and it will be fascinating to see how the market evolves in the coming years. From the current leaders to the emerging challengers, the race to deliver the ultimate portable gaming experience is far from over.

Source: Windows Central News

A new era of AI-powered computing

The most significant theme of Windows 11 25H2 is the deep integration of artificial intelligence. Microsoft has been steadily embedding AI across its products, and this update takes it to the next level. The headline feature is the expansion of Copilot, Microsoft's AI assistant, which becomes more contextually aware and proactive. Copilot now sits directly on the taskbar and can be summoned with a single click or a keyboard shortcut. It can understand on-screen content, answer questions, summarize documents, and even control system settings based on natural language commands.

In addition to Copilot, Windows 11 25H2 introduces advanced AI-driven tools for photo editing, video creation, and productivity. The Photos app gains generative AI capabilities, allowing users to remove objects or people from images with a simple brush stroke. Video editing in Clipchamp now includes automatic scene detection and AI-generated subtitles. For professionals, Word and Outlook leverage AI to draft documents and emails, while PowerPoint can generate entire presentations from outlines.

Microsoft is also bringing more intelligence to system-level features. Smart Window Management learns how you arrange your windows and automatically suggests optimal layouts. The Start menu now offers dynamic recommendations based on your usage patterns, and the search experience is more intuitive, understanding intent rather than just keywords. These innovations reflect Microsoft's goal to make AI an invisible but essential layer of the operating system.

Performance and battery life improvements

Version 25H2 is not just about new features; it also delivers significant performance and efficiency gains. Microsoft has optimized the core components of the OS to reduce CPU and memory usage. On supported hardware, users can expect faster boot times, smoother multitasking, and improved responsiveness. The update includes several under-the-hood enhancements, such as better thread management for hybrid processors and more efficient handling of background apps.

Battery life is another area of focus. Windows 11 25H2 introduces a new energy-saving mode that goes beyond the existing battery saver. It intelligently adjusts CPU speed, screen brightness, and background activity to squeeze out extra hours of use from a single charge. Laptop users will notice a tangible difference, especially during tasks like web browsing and video streaming. Microsoft claims that some devices could see up to 15% longer battery life with the new settings.

The update also brings improvements to the Windows Subsystem for Android, allowing Android apps to run more efficiently and with better compatibility. Gamers will appreciate the new DirectX Agility SDK, which enables smoother frame rates and reduced stuttering in supported titles. Auto HDR is now more accurate, and the Game Mode has been refined to prioritize system resources for gaming sessions.

User interface tweaks and personalization

Windows 11 25H2 introduces a variety of user interface refinements that make the operating system feel more polished and modern. The Start menu has been redesigned with a cleaner layout, larger icons, and better organization. Users can now create folders for pinned apps, and the recommended section has been replaced with a more useful 'Recent' area that shows recently opened files and apps.

File Explorer receives a long-awaited upgrade with a new details panel, better file previews, and a modernized address bar. Tabs are now the default way to navigate, and dragging tabs out to create separate windows is supported. The context menu is more responsive and includes a new 'Cut' and 'Copy' option with visual feedback. Additionally, the taskbar gains a 'Never combine' mode, allowing app icons to show labels and separate windows, a feature many users have requested since the original Windows 11 release.

Personalization options have also expanded. The system now supports more dynamic accent colors that automatically adapt to your wallpaper. Users can choose from new animated wallpapers that subtly react to the time of day or system activity. Widgets, which come enabled by default, show more useful information like weather, calendar events, and news. The widget board itself is more customizable, allowing users to resize and rearrange cards to suit their preferences.

Security and privacy enhancements

With each new version, Microsoft strengthens the security posture of Windows, and 25H2 is no exception. The update introduces several new security features designed to protect users from evolving threats. One of the most notable additions is the enhanced phishing protection in Microsoft Defender SmartScreen. It now identifies malicious sites and warns users if they are about to enter credentials into a known phishing page. The protection extends to password field detection, alerting users when they paste passwords in unsecured locations.

Another major security upgrade is the integration of Windows Hello with passkeys. Users can now use their face, fingerprint, or PIN to authenticate across supported websites and apps, replacing traditional passwords. This makes for a more secure and seamless sign-in experience. Additionally, Windows 11 25H2 includes a redesigned security center that provides a clear overview of your device's security status, with actionable recommendations to improve protection.

For enterprise users, the update brings new zero-trust capabilities, including improved conditional access and device compliance policies. Administrators will find it easier to manage updates and security baselines through Microsoft Intune. The built-in Windows Sandbox and Hyper-V features have also been enhanced, providing a safer environment for running untrusted software.

Rollout schedule and compatibility

Windows 11 version 25H2 is being rolled out in phases, starting with devices that are identified as 'ready for the upgrade.' Microsoft uses a Windows Update mechanism that prioritizes newer, popular systems to ensure a smooth transition. The rollout began in October 2025, and the company expects to expand availability to all compatible devices by the first half of 2026. This gradual approach aims to catch any issues early and prevent widespread disruptions.

Compatibility remains a critical consideration. Windows 11 25H2 maintains the same hardware requirements as earlier Windows 11 versions. This means your PC must have a compatible 64-bit processor, at least 4GB of RAM, and 64GB of storage. Trusted Platform Module (TPM) version 2.0 and Secure Boot are still mandatory. If your current Windows 11 installation is running smoothly, you should be eligible for the 25H2 update, provided you have enough free disk space.

Microsoft has also confirmed that the update is available for devices running Windows 11 22H2 or later. Users on Windows 10 must perform a system upgrade, as the 25H2 update is not available for older operating systems. To check compatibility, users can open the PC Health Check app, which will verify whether the system meets all requirements and provide guidance if upgrades are needed.

How to get Windows 11 version 25H2

The easiest way to get the update is through Windows Update. Once Microsoft has deemed your device compatible, the update will appear as an optional download. You can also check manually by navigating to Settings > Windows Update and clicking 'Check for updates.' If the update is available, you will see a 'Download and install' button. It is important to back up your important files before proceeding to avoid any data loss during the upgrade.

For users who prefer a clean installation, Microsoft offers the Installation Assistant tool on its official website. This tool downloads the full update package and installs it while preserving your files and apps. Additionally, the Windows Media Creation Tool can be used to create bootable USB drives or ISO files for installations on multiple devices. Tech-savvy users can download the ISO directly from the Microsoft website and perform an in-place upgrade or a fresh install.

If you are not seeing the update, it may be due to a compatibility issue. Microsoft is using a compatibility hold system to block updates on devices with known driver or software conflicts. The company typically resolves these holds within a few weeks. You can check the Windows Update page for any specific error messages and visit the manufacturer's website to ensure that your drivers are up to date.

Once you have installed Windows 11 25H2, you will have 10 days to roll back to your previous version if you encounter problems. This rollback period is designed to give you time to test the new OS without losing your original system settings and files. After 10 days, the previous Windows installation files are removed to free up disk space.

What's next for Windows 11

Windows 11 25H2 represents the culmination of Microsoft's ongoing efforts to modernize its operating system. It is clear that AI is at the core of the company's vision, and we can expect future feature updates to deepen this integration even further. The annual release schedule that Microsoft has adopted ensures a steady stream of innovations, but also places pressure on users to stay up to date with the latest patches and security fixes.

The upgrade to 25H2 is free for all existing Windows 10 and Windows 11 users, but Microsoft has been clear that Windows 10 will reach its end-of-support date in October 2025. After that, Windows 10 users will no longer receive security updates unless they purchase extended support. This is a strong incentive for users to make the jump to Windows 11, and 25H2 is the most compelling reason yet to do so.

As with any major OS release, users should wait for the first few rounds of updates before rolling it out on mission-critical machines. Microsoft is actively listening to feedback and will likely issue patches to address any initial quirks. For most consumers and businesses, Windows 11 25H2 is a safe and worthwhile upgrade that brings meaningful improvements to the desktop computing experience.

Source: Windows Central News

Endstate is not just another driver updater or a script that runs a few PowerShell commands. It is a purpose-built utility that combines multiple setup-related tasks into a single, guided workflow. The developer, who has spent years working on Windows system administration tools, explained that the idea came from personal frustration. “Every time I rebuilt my machine or set up a laptop for a family member, I would lose an entire afternoon to the same steps over and over,” they said. “Downloading drivers from manufacturer websites, disabling notification spam, changing default apps, and configuring privacy settings—nothing was impossible, but everything was time-consuming. I started writing small scripts for myself, and eventually those scripts turned into a product.”

The Endstate Approach

At its core, Endstate aims to be the last stop after Windows installation finishes. The app presents a series of optional modules that users can toggle on or off, allowing them to customize exactly how much of the setup process should be automated. The developer was keen to emphasize that Endstate is not about forcing a particular configuration on users. “We are not here to tell people what their PC should look like,” they explained. “We just remove the repetitive, error-prone manual work. If someone wants to keep every Microsoft Store app and every default setting, that’s totally fine. Endstate simply makes the process faster for those who want to change things.”

One of the most interesting aspects of Endstate is how it handles driver installation. Rather than relying on a single bundled driver pack that might be outdated or bloated, Endstate scans the hardware and pulls the correct drivers from reliable sources. The developer noted that this was one of the trickiest parts to build. “Windows Update already provides many drivers, but it can miss peripherals or install older versions. Our system uses a combination of Windows Update APIs, manufacturer database checks, and community-maintained repositories to find the best match. We also let the user review everything before installation, so nothing is applied without consent.”

Beyond Drivers: System Tuning and Debloating

Drivers are only one piece of the puzzle. Endstate also includes a curated set of system tweaks that address common annoyances. Users can disable startup programs that slow down boot times, turn off telemetry and targeted ads, remove preinstalled apps that they never use, and adjust default settings for file explorers, taskbar behavior, and privacy controls. The developer mentioned that the debloating feature was heavily inspired by the open-source community. “There are many excellent scripts and tools out there that do some of this work, but they often require a lot of technical knowledge to run safely. Endstate wraps those ideas into a safe, reversible interface. Every change is logged, and you can undo most modifications with one click.”

Reversibility is a key principle. The developer said that many users are understandably nervous about running automation on a new PC. “Nobody wants to break their system right after setting it up. That’s why Endstate creates a restore point before it does anything and also keeps a detailed log of each change. If something doesn’t feel right, you can roll back. That takes away the fear factor.”

Understanding the Developer

The person behind Endstate has a long history in the Windows ecosystem, though they prefer to stay out of the spotlight. Their career started in IT support, where they saw countless users struggling with the same setup problems. Later, they moved into software engineering and worked on enterprise deployment tools, which gave them insight into how large organizations automate system configuration. “In the enterprise world, you have tools like MDT and SCCM that can deploy a fully configured Windows image in minutes. For individual users and small businesses, all that automation is out of reach. I wanted to bring a slice of that enterprise magic to a consumer app.”

That enterprise background is evident in Endstate’s architecture. The app uses a declarative configuration model, meaning users can save a “profile” of their preferred settings and reuse it on multiple PCs. This is especially handy for power users who maintain several machines. “I build a profile once, and then every time I set up a new PC, I just import that profile and let Endstate do its thing. It saves hours.” The developer added that profiles can be exported as a simple file, which can also be shared with others, though they recommend reviewing any imported profile carefully to avoid blindly applying unknown changes.

Supported Hardware and Software

Endstate currently supports Windows 10 and Windows 11, both 64-bit versions. The developer explained that the tool is designed to work with a wide range of hardware, including laptops, desktops, and even small-form-factor PCs. “We test on major brands like Dell, Lenovo, HP, and ASUS, but the app also works well on custom-built machines. The driver engine is hardware-agnostic because it queries the system’s device IDs and matches them against a database. If a driver is not found, the app falls back to Windows Update or the manufacturer’s website.”

One notable limitation is that Endstate does not support ARM-based Windows PCs yet. The developer said that ARM support is on the roadmap but requires additional work because the driver ecosystem is different. “It’s a niche but growing market. We’re keeping an eye on it, and hopefully we’ll have a beta for ARM devices later this year.”

Privacy and Security Concerns

Any tool that automates system configurations raises questions about trust. The developer acknowledged this and emphasized that Endstate runs entirely locally. “No telemetry, no account required, no cloud processing. The app works offline. The only time it reaches out is to check for driver updates, and that connection is made directly to the manufacturer or to Windows Update. We don’t collect any personal data, and we don’t have a proprietary cloud service that could be compromised.”

The app is also signed with a code-signing certificate to avoid triggering SmartScreen and other security warnings. “We invested in a proper signing certificate because an unsigned tool that changes system settings would rightly be viewed with suspicion. We want users to know that Endstate is a legitimate product and that their security is a top priority.”

The Road Ahead

Endstate has already attracted attention on social media and tech forums, particularly among enthusiasts who regularly clean install Windows. The developer said the feedback has been overwhelmingly positive, though there are always requests for more features. “People are asking for a command-line interface, integration with winget, and support for third-party debloat lists. Those are all interesting ideas. We want to keep the app approachable for beginners, but we also want to provide advanced options for those who want them.”

One upcoming feature is a “setup checklist” that guides first-time users through the most important decisions, such as creating a local account, setting up OneDrive, and configuring Windows Hello. “A lot of people don’t realize that some settings can be changed later easily, while others are a hassle. The checklist will help them make informed choices during the initial setup, so they don’t have to go hunting through menus later.”

The developer also hinted at a possible portable version of Endstate that could be run from a USB drive. “That’s something I use myself when working on friends’ computers. A portable version would let you plug in a drive, run Endstate without installing anything, and fix up a PC that’s already halfway through setup. It’s on the list, but it’s not the priority right now.”

Why Windows Setup Still Feels Outdated

Even in 2025, setting up a fresh Windows PC can feel surprisingly old-school. The process has improved with cloud accounts and automatic driver updates, but there are still dozens of steps that require manual intervention. The developer argues that this is a fundamental gap in Microsoft’s philosophy. “Microsoft focuses on making the first boot easy for the average user, which is great. But the same simplicity becomes frustrating when you want to change things. The default experience is tailored to people who don’t care about tweaks. For everyone else, it’s a battle against defaults.”

Endstate steps into that gap by offering a single tool that speaks the language of power users while keeping the interface clean enough for beginners. The developer hopes that the app will also pressure Microsoft to rethink how setup works. “If enough people see how smooth a setup can be, maybe they’ll demand a more flexible OOBE (out-of-box experience) from Windows itself. I’d love to see an official ‘advanced setup’ mode that includes many of the tweaks Endstate provides. But until then, we’re happy to fill that role.”

When asked whether Endstate is a one-time tool or a long-term project, the developer was clear: “I see this as a living tool. Windows changes, drivers change, and user needs change. We plan to keep updating Endstate with new features and support for new hardware. This is not a side project that will be abandoned. It’s the beginning of a company.”

The developer also shared some advice for anyone about to set up a new Windows PC: “Don’t do it all in one night. Use a tool like ours if you want speed, but also take your time to explore what Windows offers. The best PC setup is the one that feels right for you. If Endstate can get you to that point faster, then we’ve done our job.”

Source: Windows Central News

Halo: Campaign Evolved is a community-driven project that revisits the original Halo combat experience and modernizes it for a contemporary audience. The fact that it has found a home on PS5 is significant. Sony and Microsoft have been rivals since the early 2000s, and Halo was the franchise that made Xbox a household name. For years, the idea of playing a Halo campaign on a PlayStation console was almost impossible to imagine. Even the most optimistic fan would have assumed that Microsoft would never allow its most iconic character to appear in Sony’s ecosystem. And yet here it is, running on the same hardware that once seemed off-limits. The project is not an official Microsoft product, but that makes its existence even more important: it proves that the desire for cross-platform Halo comes from the players, not from a marketing department.

A vision born out of necessity

Microsoft entered the games industry with a console that was technically powerful but commercially untested. Halo: Combat Evolved was the game that changed everything. It sold millions of units, made Xbox Live relevant, and created a community that would follow Master Chief across multiple generations. That success created a durable strategy: each new Xbox console would arrive with a flagship Halo title, and players who wanted to experience Master Chief’s story would have to buy the hardware. The plan worked for many years. The Xbox 360 era in particular showed how a strong exclusive library could push a platform to market leadership. But by the following generation, the landscape had shifted.

The cost of developing AAA games exploded, live-service models became dominant, and players began spending more time on platforms like PC and mobile. Console makers could no longer rely on a handful of exclusives to sustain growth. At the same time, cloud technology improved to the point where high-quality games could be streamed to almost any device. Microsoft was one of the first companies to invest heavily in this direction, building a global data center network and creating services like Xbox Cloud Gaming. Phil Spencer’s “every screen is an Xbox” line was not just a dream; it was a description of Microsoft’s infrastructure strategy. The company wanted its games to be accessible wherever players had a screen, whether that meant a smart television, a laptop, or a rival console.

The Halo moment on PlayStation

Halo: Campaign Evolved on PS5 is a proof of concept. It shows that the barrier between Xbox and PlayStation is no longer technical or creative. The game arrives on Sony’s hardware because players wanted it, and because the community had the tools and knowledge to make it happen. For Microsoft, the lesson is clear: if fans are willing to go to such lengths to play Halo on another platform, there is no reason to keep the franchise locked away.

This is not the first sign that the old exclusivity model is cracking. Several first-party Microsoft games have already made the jump to other consoles. Titles like Sea of Thieves and Grounded have found new audiences on PlayStation and Nintendo platforms. The response has been overwhelmingly positive, and Microsoft has reported strong engagement across those releases. The company has learned that expanding access to its games does not weaken the Xbox brand. In fact, it can strengthen the ecosystem as a whole, because every new player represents a potential long-term customer for Game Pass, cloud gaming, and future sequels.

Why the old plan stopped making sense

The exclusivity plan that Asha Sharma walked away from was built on a different reality. It assumed that a console owner would buy a specific machine to play a specific franchise. It assumed that hardware sales were the best measure of success. It assumed that gamers would choose one platform and stay there for an entire generation. Those assumptions have been crumbling for years. Modern players move between devices. They own multiple consoles, play on PC, and use mobile devices during travel. They also expect to play with friends regardless of platform, and cross-play has become a standard feature in almost every major multiplayer release.

Continuing to treat Halo as an exclusive would have limited the franchise’s reach and revenue. It would have also created a public relations problem. When exclusives are seen as arbitrary restrictions rather than technical necessities, they generate resentment. Players do not hate exclusives because they want every game on every platform; they hate them because they are often the product of business deals rather than creative choices. A game like Halo does not need to be locked to one console to be special. It is special because of its story, its characters, and its mechanics. Those elements survive even when the game appears on a rival machine.

Asha Sharma’s correction

Asha Sharma is among the Microsoft leaders who had to reconcile Spencer’s vision with the internal realities of the gaming division. According to the logic of the old plan, every Xbox exclusive was a weapon in the company’s fight for hardware dominance. Sharma recognized that this approach had become a liability. The market no longer rewarded artificial scarcity. A console could win without exclusives, and a game could thrive without being tied to a platform. By abandoning the flawed plan, she cleared the way for a more flexible strategy, one that puts player choice ahead of hardware loyalty.

Her decision was not an admission of weakness. It was a response to the evidence. The success of multi-platform releases proved that Xbox games could compete on other consoles. The popularity of cloud gaming proved that players cared about convenience more than brand labels. And the existence of projects like Halo: Campaign Evolved on PS5 proved that demand could not be contained. When a community works around a company’s restrictions to bring a beloved franchise to a different device, the company should listen. The audience is telling Microsoft what it wants, and Sharma’s pivot is a way of accepting that message.

The cloud and the subscription generation

The rise of subscriptions has also made exclusivity less valuable. A player who subscribes to Game Pass is not concerned with the name on the console. They care about the library, the convenience, and the ability to play across devices. Exclusives still matter, but they matter in a different way. They are not anchors for hardware; they are reasons to enter an ecosystem. Once a player is inside that ecosystem, the revenue can come from subscriptions, cloud streaming, in-game purchases, and long-term engagement. Microsoft has built its modern strategy around that idea, and it is difficult to argue with the results.

Bringing Halo to other platforms does not mean abandoning the Xbox console. It means treating the console as one of many ways to access the Xbox experience. A PlayStation owner who plays Halo may later decide to buy an Xbox for Game Pass, or they may keep playing through cloud streaming, or they may simply become a fan of the franchise and purchase future installments. Every one of those outcomes is better than the alternative: a Halo game that only a fraction of the market can play, hidden behind a hardware requirement that no longer makes sense.

What this means for the next generation

The impact of this shift will be felt well beyond a single fan project. It changes the value proposition of every future console. If Xbox games appear on PlayStation and Nintendo systems, the next Xbox will have to earn its place in a different way. It will need to offer services, features, and experiences that cannot be replicated on other hardware. Backward compatibility, performance modes, cross-save, and seamless cloud integration will become more important than exclusive games. This is not a return to the console wars of the past. It is a new kind of competition, one in which platform holders compete for attention rather than for control.

For players, the benefits are obvious. A larger audience means more resources for game development. A wider reach means more people can experience stories like Master Chief’s. It also means that a player who invests time in a game on one platform can continue that journey elsewhere. The idea of a “dead” platform becomes less frightening because the games are not prisoners of the hardware. Phil Spencer’s phrase, “a future where every screen is an Xbox,” is ultimately about freedom. It is about removing the friction that once forced gamers to make difficult choices. Halo: Campaign Evolved on PS5 is a small but meaningful example of that freedom becoming real. The plan that stood in its way could not last because it was built to preserve borders that gamers no longer wanted.

Source: Windows Central News

This innovative approach to hair care has sparked admiration from fans, with many commenting on the dedication required to keep curls looking flawless for the stage. One user joked, “This is about to be me the morning of my wedding 😂,” while another praised the teamwork: “Multitasking that turns into amazing results! Good job both of you 🙌.” The video not only showcases Shakira’s rigorous training regimen but also her strategic use of time—juggling fitness and beauty preparations simultaneously.

The Science Behind Preserving Curls

Curly hair is notoriously delicate, requiring specific techniques to maintain its shape and bounce. For Shakira, who relies on her natural texture for many of her public appearances, blow-drying while exercising might seem counterintuitive due to sweat and movement. However, Rendon’s method appears to involve braiding the hair beforehand to protect it from friction and moisture, then applying targeted heat to set the curls without causing frizz. This allows Shakira to complete her workout without compromising her hair’s integrity—a hack that many curly-haired individuals could apply in their own routines.

The singer’s dedication to her curls goes beyond aesthetics; it is part of her brand identity. From her early days with “Whenever, Wherever” to her recent hits, Shakira’s curls have become as recognizable as her voice. She has often spoken about embracing her natural texture, especially after years of heat styling in her youth. In interviews, she has credited products like leave-in conditioners and silk pillows for keeping her curls healthy, but this new level of multitasking takes her commitment to another level.

A Viral Moment with Beyoncé

Shakira recently made headlines for another hair-related moment: a photo with Beyoncé at the 2026 FIFA World Cup Final, where both stars proudly displayed their natural curls. The image, captured at the New York New Jersey Stadium (MetLife Stadium), quickly went viral, amassing over 3.7 million likes in under 24 hours. Shakira captioned the post, “What a day yesterday! Running into so many people I appreciate and respect, and receiving so much love from all of you!! Also, ¡que viva Colombia en este día y siempre!”

The World Cup Final saw Spain defeat Argentina 1-0 in extra time on Sunday, July 19, but the halftime show featuring Shakira was a highlight in itself. She performed a medley of her greatest hits, including “Hips Don’t Lie” and “Waka Waka (This Time for Africa),” wearing a custom Roberto Cavalli ensemble designed by creative director Fausto Puglisi. The two-piece look featured a crystal-covered bodysuit with over 200,000 Swarovski crystals, a dramatic fringed skirt in sunset-inspired hues of orange and yellow with pink accents, and couture details that took more than two weeks to create.

Shakira told Vogue that she wanted “something that reflected the energy of the performance but also honored the significance of the occasion.” She added, “This is such a global event, so I wanted to wear something that felt timeless but also modern, with movement and personality.” The outfit shimmered under the stadium lights and moved effortlessly through her signature hip-shaking choreography.

Behind the Scenes: Shakira’s Training and Hair Routine

The Instagram video from Rendon offers a rare peek into Shakira’s pre-show preparations. While many celebrities have separate workout and beauty routines, Shakira combines them to maximize efficiency. Her training sessions are intense, often involving weight lifting, cardio, and dance rehearsals. By having her hairstylist work on her hair during strength exercises, she saves valuable time that would otherwise be spent sitting still in a salon chair.

Rendon has been Shakira’s hairstylist for many years, and his expertise in handling her curly texture is well-known in the industry. He often shares tips on social media about how to maintain volume and definition without heat damage. For instance, he recommends using a diffuser on low heat, applying curl cream to damp hair, and avoiding brushing once the curls are set. In the video, he uses a blow dryer with a concentrator nozzle to direct air precisely onto the braided sections, ensuring the inner layers dry evenly without disturbing the overall style.

Shakira’s workout routine itself is designed to support her stage performances. She trains with a focus on core strength and lower body power, essential for her energetic dance moves. Combining hair care with exercise also helps her stay in the zone mentally—she can concentrate on her lifts while her hair gets the attention it needs. Fans have praised this approach as a testament to her work ethic and creativity.

The Cultural Impact of Shakira’s Curls

Shakira’s curls have inspired countless fans around the world to embrace their natural hair. In an era where straightening and chemical treatments were once the norm, she has consistently celebrated her Latin heritage by wearing her hair in its natural state. This has made her a role model for women with curly and textured hair, especially in the Latinx community.

The photo with Beyoncé further amplified this message, as two of the biggest pop stars in the world showcased their natural textures together. The image sparked conversations about representation and beauty standards, with many calling it a powerful moment for diversity. Shakira’s hairstylist, Rendon, has also been credited for helping her maintain healthy curls despite her demanding schedule, which includes international tours, recording sessions, and family commitments.

Beyond the World Cup performance, Shakira’s hair routine is carefully orchestrated. She often sleeps with a silk turban or on a silk pillowcase to prevent friction, and she uses deep conditioning masks weekly. For shows, Rendon may spend hours crafting the perfect curl pattern, but as the viral video shows, he is willing to work even during her workouts to ensure every detail is flawless.

Multitasking as an Art Form

Shakira’s ability to multitask is well-documented. She has balanced motherhood, a music career, and philanthropy for decades. This recent video adds another layer to her legend: the ability to integrate beauty maintenance into her fitness regime. It also highlights the close relationship between her and her team—especially Rendon, who has been with her through many career milestones.

Other celebrities have also embraced similar multitasking methods. For instance, some singers get facials during vocal warm-ups or practice choreography while on a treadmill. But Shakira’s approach is particularly unique because it directly addresses one of the most challenging aspects of performance hair: maintaining curls through sweat and movement. By braiding the hair before blow-drying, she essentially “sets” the curls in a protective style that can last through a workout and beyond.

Fans have responded enthusiastically to the video, with many creating memes and sharing their own stories of trying to combine tasks. One commenter wrote, “This is the level of efficiency I aspire to,” while another joked, “She’s working out AND getting a blowout? Goals.” The video not only promotes Shakira’s brand but also normalizes the idea that beauty and fitness can coexist seamlessly.

Conclusion of the Article Without a Conclusion

Shakira’s hairstylist has perfected a method for preserving her curls during workouts, blending time management with expert styling. From blow-drying braided hair while she lifts weights to showing off her natural curls alongside Beyoncé, the singer continues to inspire fans with her dedication to both her art and her appearance. Her recent World Cup halftime show and the viral photo underscore her status as a global icon who values authenticity and efficiency. As Shakira prepares for future projects, her hair remains a central part of her identity—and thanks to Jhonatan Rendon’s innovative techniques, it will stay flawless no matter how hard she works out.

Source: MSN News

Attention sneakerheads and hip-hop fans: Eminem is offloading more than 100 pairs of shoes from his personal stash, all personally autographed by the rap legend, with proceeds going to the Marshall Mathers Foundation. The auction, conducted by Julien's Auctions, is scheduled for August 25, and bidding is already open online.

Among the highlights is a pair of Eminem x Nike Air Jordan 3 "Slim Shady PE" promotional sneakers, signed in black marker, which are expected to fetch up to $35,000. Another standout lot includes the Eminem x Carhartt x Nike Air Jordan 4 promos, signed in gold ink and estimated to sell for as much as $25,000. Each pair comes with its original box, a detail that collectors prize highly.

The sale features footwear that chronicles over two decades of Eminem's passion for sneakers, encompassing collaborations with Nike, Jordan, Carhartt, PUMA, and Adidas. Notable pieces include the Adidas Superstar 1s—a nod to the rapper's early style—and the PUMA Palace Guard OG Retro "Detroit Pistons" sneakers, which pay homage to his hometown roots.

A Legacy of Giving Back

This auction continues a tradition of charity work that Eminem began in 2006, following the tragic death of his close friend and fellow rapper Proof. In the wake of that loss, Eminem created a special Nike Air Max series to raise funds for various causes. The current auction expands on that legacy, funneling all proceeds to the Marshall Mathers Foundation, which supports at-risk youth and other community programs in Detroit and beyond.

The Marshall Mathers Foundation was established in 2002, initially focused on providing grants to organizations that serve disadvantaged youth. Over the years, it has donated millions to schools, arts programs, and health initiatives. By auctioning his personal sneaker collection, Eminem not only unloads pieces of his personal history but also ensures that the proceeds continue to fuel its mission.

Rare Collaborations and Cultural Significance

The auction catalog reads like a history of sneaker collaborations over the past two decades. Eminem's partnership with Nike and Jordan Brand has yielded some of the most coveted sneakers in the game. The "Slim Shady PE" Air Jordan 3s are particularly rare because they were only produced as promotional items for staff and insiders. Only a handful of pairs exist, and signed versions are virtually unheard of.

Similarly, the Carhartt x Eminem x Air Jordan 4 represents a unique fusion of streetwear, workwear, and hip-hop. Carhartt, a brand synonymous with rugged durability, joined forces with Eminem to create a sneaker that blends Detroit toughness with high-end design. The gold signature adds an extra layer of exclusivity.

Other notable items include the Adidas Superstar 1s, which recall Eminem's early days when he sported the shell-toe silhouette on stage and in music videos. The PUMA Palace Guard OG Retros celebrate the Detroit Pistons' "Bad Boys" era, a nod to the city's basketball heritage and Eminem's affiliation with the team.

Eminem's Enduring Influence on Sneaker Culture

Eminem's involvement in sneaker design and collaboration goes back to his rise in the late 1990s. He has worked with brands like Shady Ltd. and has been a frequent figure in limited-edition releases. His 2006 charity Nike Air Max 1 "Proof" is still regarded as a holy grail for collectors, often selling for thousands on the resale market. The upcoming auction continues that tradition, offering fans and investors a chance to own a piece of hip-hop history while contributing to a good cause.

Julien's Auctions, known for handling high-profile memorabilia sales from celebrities like Prince, Michael Jackson, and Marilyn Monroe, is overseeing the event. The auction house has organized similar sales for music icons in the past, ensuring that each pair is authenticated and presented with proper provenance.

Bidding is already live, and with the demand for exclusive Eminem collectibles, many of these lots are expected to surpass their estimates. For those unable to attend in person, the auction will be accessible online, with a preview event allowing potential buyers to examine the sneakers up close.

This sale underscores the enduring bond between hip-hop and sneaker culture, with Eminem standing as one of the most influential artists to bridge the two worlds. His personal collection—spanning two decades—tells the story of his career, his city, and his commitment to philanthropy. As of this writing, all 100+ pairs are still up for grabs, but early bids indicate strong interest from around the globe.

The Marshall Mathers Foundation continues to benefit from these efforts, ensuring that even a pair of sneakers can make a difference in a young person's life. For collectors, it's a rare opportunity to own a signed piece of Eminem's history; for the rapper, it's another way to give back to the communities that have supported him throughout his monumental career.

Source: MSN News

Speaking by phone on NBC's Meet the Press on Sunday, Trump responded to host Kristen Welker's question about who Governor Henry McMaster should appoint as an interim replacement. "I have someone that I think would be great, but I don't want to say it now," Trump said. "It's too soon with Lindsey. I don't want to even talk about anybody, but I do have somebody that I think is really good."

Lindsey Graham died Saturday night after what his office reportedly called "a brief and sudden illness." No official cause of death has been confirmed yet. The long-serving Republican senator had recently returned from his tenth trip to Ukraine.

Now, the vacancy triggers an immediate political scramble in South Carolina. Governor Henry McMaster, whom Trump described as a "good friend," holds the power to appoint an interim replacement. That temporary senator would serve until the end of Graham's current term on January 3. Trump expressed confidence in McMaster's judgment, noting he had previously helped pave the way for his governorship.

A special primary is expected to take place by August 11 to select a Republican nominee for the midterm contest. Democrat Dr. Annie Andrews has already launched her campaign for the seat. On the Republican side, Representatives Joe Wilson and Nancy Mace have reportedly entered the race. Mace recently lost her own primary bid for governor after Trump declined to endorse her.

Trump further reflected on his personal connection to Graham during the interview. "I never thought I'd be in this position. I thought Lindsey would be living forever," he said. He added that Graham was expected to win re-election comfortably with his backing.

The president's withheld endorsement now becomes a decisive factor in a rapidly evolving race.

Lindsey Graham's death marks the end of a long and often controversial political career. Born in 1955 in Central, South Carolina, Graham served in the U.S. Air Force and later as a lawyer before entering politics. He won a seat in the U.S. House of Representatives in 1994 and moved to the Senate in 2002. Over his two-plus decades in the Senate, Graham became known for his hawkish foreign policy, especially his staunch support for military intervention and his close ties to the defense industry. He was a key figure in the confirmation of conservative judges, including Supreme Court Justices Neil Gorsuch, Brett Kavanaugh, and Amy Coney Barrett. His relationship with Trump was a rollercoaster, evolving from early criticism during the 2016 primary to becoming one of Trump's most loyal allies in the Senate. Graham's support was instrumental in Trump's impeachment defenses in 2020 and 2021, as well as in advancing the Trump agenda on tax cuts, deregulation, and judicial appointments. However, he also maintained a more independent streak on some issues, such as climate change and immigration reform, though he often fell in line when it mattered most. His sudden departure leaves a void not just in South Carolina politics but in the national Republican landscape, where he served as chairman of the Senate Judiciary Committee from 2019 to 2021 and later as ranking member.

The process of replacing Graham involves both an interim appointment and a special election. Under South Carolina law, the governor appoints someone to serve until the next general election, which in this case is November 2026. However, since Graham's term expires in January 2027 anyway, the appointed senator will serve only a few months unless they win the special election to complete the remainder of the term. This creates a high-stakes scenario where the appointee could gain an incumbency advantage for the primary and general election. Governor McMaster, a close Trump ally, will likely face pressure from multiple factions within the party. Some want a seasoned establishment figure who can hold the seat for the GOP, while others push for a firebrand populist in the Trump mold. Trump's own unknown pick adds another layer of intrigue. The president's refusal to name his choice now may be strategic, allowing him to gauge the field before throwing his weight behind a candidate. It also keeps the suspense alive in the media, generating free coverage for the race. Potential candidates include U.S. Representative Joe Wilson, a veteran lawmaker with a strong voting record but little national profile beyond his "You lie!" outburst during Obama's 2009 address; Representative Nancy Mace, a more moderate conservative who has sometimes clashed with Trump; state legislators like Senator Larry Grooms; and Graham's own former staffers, such as Eleanor Murphy, a former Graham aide now serving as a state senator. Additionally, the Democratic side has already seen Dr. Annie Andrews, a pediatrician and political newcomer, launch a campaign, capitalizing on growing Democratic strength in suburban areas of South Carolina, particularly around Charleston and Columbia. The race will be closely watched as a bellwether for the 2026 midterms, especially given the narrow Republican majority in the Senate. If Democrats can flip the seat, it would be a significant defeat for Trump and the GOP. But South Carolina remains a deeply red state, and any Democratic win would require a perfect storm of factors, including a flawed Republican nominee and high turnout among suburban voters and African Americans.

Beyond the immediate political machinations, Graham's death raises questions about the future of the Senate Judiciary Committee, where his vacant seat will be filled by a new appointment. The committee has been central to the confirmation of judicial nominees, and Graham was a vocal advocate for conservative judges. His absence could shift the dynamics, especially if the temporary appointee is less experienced or less combative in hearings. Moreover, Graham's role as a foreign policy hawk will be missed on the Senate Foreign Relations Committee, where he served as a senior member. He was a vocal critic of Russia and China and a strong proponent of NATO expansion. His calls for increased military aid to Ukraine were a consistent theme in his final years. The continuation of that support may now depend on his successor's views. Meanwhile, the shock of his sudden death has prompted an outpouring of tributes across the political spectrum. Former Presidents George W. Bush and Barack Obama released statements praising his service, while Senate Majority Leader John Thune called him "a warrior for the principles of freedom." Critics, however, noted his record on issues such as abolishing the filibuster for the Supreme Court and his insistence on confirming Justice Amy Coney Barrett days before the 2020 election. The polarizing nature of Graham's career means his legacy will be debated for years to come.

As South Carolina moves forward, all eyes remain on Trump's mystery pick. The president's behind-the-scenes maneuvering will likely determine whether the replacement mirrors Graham's brand of establishment conservatism or shifts toward a more combative, Trump-aligned style. Either way, the race to fill the seat will be one of the most closely watched in the upcoming cycle, with implications for both the 2026 midterms and the 2028 presidential election. The absence of Graham's steady hand—no matter how controversial—will be felt across the Capitol.

Source: AOL.com News

The origin of this etiquette stems from the Victorian era, when tea drinking became a symbol of social refinement. Women of high society were taught to hold the cup with a light touch, ensuring that the pinky finger never extended outward—a myth that actually originated from the need to balance a saucer while holding a cup. In the royal household, these small gestures have been preserved as markers of tradition and respect. For Kate, now the Princess of Wales, mastering such details was essential not only for her public appearances but also for private gatherings with Her Majesty. Reports from courtiers indicate that the late Queen was fastidious about these manners, and any deviation could result in a quiet but firm correction.

Beyond the teacup, the entire afternoon tea ceremony is steeped in history and unwritten rules. The menu itself was carefully curated by the late Queen’s chefs, who ensured that the same items were served whether the monarch was at Buckingham Palace, Windsor Castle, or even traveling. Former royal chef Darren McGrady revealed that tea always began with a pot of Earl Grey, accompanied by two types of sandwiches—popular choices included raspberry jam, cucumber, and ham. Scones were a must, served with clotted cream and jam, followed by a selection of cakes. The most famous of these was the chocolate biscuit cake, a perennial favorite that became such a staple that it followed the Queen wherever she went. “The royal chefs send a whole cake up to Her Majesty every day for tea,” McGrady recalled. “She would take a slice, and then it was sent to the staff, but the same cake would reappear the next day until it was finished—sometimes traveling to Windsor Castle for the weekend.”

This ritual highlights the importance of afternoon tea in the royal schedule. For Queen Elizabeth, teatime was a rare moment of tranquility amid a packed diary of state duties. It was also an opportunity to gather with family, though the formality remained. When Kate sat down with the Queen, she had to ensure that each sip was taken from the same spot on the cup, a detail that required concentration, especially when wearing a bold lipstick. Princess Anne, known for her adherence to protocol, was often observed following this rule, while male members like Prince William and Prince Harry were not bound by the same standard. This gender-based distinction reflects historical codes of conduct that placed greater emphasis on the behavior of royal women.

The Evolution of Royal Tea Traditions Under King Charles

Now that King Charles has ascended the throne, some aspects of afternoon tea have inevitably changed. Unlike his mother, Charles has a less pronounced sweet tooth, which has influenced the teatime menu. While he still observes the tradition, his preferences lean towards savory items and simpler desserts. According to Darren McGrady, the King would often pack a picnic for his solo painting sessions in the Balmoral countryside, consisting of a “big, thick sandwich” and a piece of plum pudding for a treat. Shortbread remains a constant favorite, especially during the Scottish summer holidays. This shift away from sugar-laden cakes reflects both Charles’s personal taste and a modernizing trend within the palace kitchens. However, the core etiquette rules—including the teacup hold—remain sacred, passed down through generations.

Interestingly, the rule about sipping from the same spot has practical origins beyond mere decorum. In centuries past, fine porcelain cups were costly, and frequent washing could damage the glaze. By sipping from the same point, the cup required fewer washes between uses, preserving its quality. The more modern interpretation involves lipstick: a single stain is easier to wipe than multiple smudges around the rim. For Kate, who often wears classic red or pink hues, this rule becomes a balancing act between elegance and practicality. Sources close to the royal family note that Kate’s training sessions with palace staff included rehearsals of this exact motion, ensuring that her posture and hand positioning were imperceptibly natural.

Beyond the teacup, the conversation at the tea table also follows strict codes. Topics considered unsuitable include politics, religion, and personal finances. Instead, approved subjects range from charitable work, to gardening, to the weather. The late Queen was particularly fond of hearing about horses and dogs, and Kate learned to steer discussions toward these safe harbors. This conversational etiquette mirrors the broader expectations of royal conduct, where discretion and diplomacy are prized above all. For the Princess of Wales, every teatime encounter was a test of her poise and preparation.

The broader cultural significance of afternoon tea cannot be overstated. Originating in the 1840s with Anna, the Duchess of Bedford, afternoon tea became a fashionable social event that soon spread through British society. The royals adopted it as a daily custom, and it has remained a symbol of British identity. In the royal household, however, it takes on an extra layer of ritual. For example, the order of serving is strictly followed: sandwiches first, then scones, then cakes. The tea is always poured after the food is arranged, and guests wait for the monarch to take the first sip. Kate had to memorize this sequence early on, and any mistake would have been noted by the ever-watchful palace staff.

Another key fact extracted from the original article is that Kate takes her tea with milk but no sugar, a preference she shares with many Britons. This detail, while seemingly minor, further illustrates how her personal choices align with royal expectations. The late Queen, by contrast, was known to enjoy a drop of milk and sometimes a small amount of sugar, though she rarely made such preferences public. Learning these nuances was part of Kate’s integration into the family. Today, as she steps into her role as a senior royal, she continues to embody these traditions while also introducing her own subtle changes, such as occasionally hosting afternoon tea at her Norfolk home, Anmer Hall, in a more relaxed setting.

In summary, the etiquette rule that applied to Princess Kate but not to Prince William is a fascinating glimpse into the gender dynamics and historical depth of royal customs. From the careful grip of the teacup to the singular sipping spot, every movement is a statement of respect for lineage and propriety. As the monarchy evolves under King Charles, these traditions remain steadfast, even as menus and venues adapt to modern tastes. The chocolate biscuit cake may no longer travel with the monarch, but the principles of grace, discipline, and subtlety continue to define royal teatime. For Kate, mastering these rules was not just about pleasing her grandmother-in-law—it was about proving that she was worthy of the crown she will one day help to support.

Source: HELLO! News

The Wrong People Leading AI?

As argued before, AI isn't likely to eliminate developers but rather to change what we need from them. The persistent question of whether junior developers are needed in a world where large language models can write code faster and cheaper overlooks a critical reality: younger developers, with their relative inexperience, may be exactly what the industry needs to rewrite the rules of software development entirely.

This thought crystallized while reading James Governor's riff on something Ben Griffiths wrote about the industry's habit of confusing age with authority. Griffiths recalled sitting through a conference talk where a speaker tried to shame a young audience for not recognizing some of the older men who had shaped computing. The irony, Griffiths noted, was that many of those “old men” had done their world-changing work when they were younger than the people being lectured. Bill Joy wrote vi at 22, John Carmack created Doom at 23, Linus Torvalds launched Linux at 22. Many of the industry's titans made their biggest contributions before they had decades of experience.

The point isn't that young people are smarter. Rather, it's that at the beginning of big shifts, experience can be a mixed blessing. It can help you see risk, but it can also make you overconfident in old ways. The most successful enterprises will find ways to balance youthful innovation with experienced guardrails.

The Factory Doesn't Redesign Itself

Zara Zhang recently pointed to Paul David's classic 1990 paper, “The Dynamo and the Computer,” as a way to understand why so many companies have “adopted” AI without much to show for it. David's argument, simplified, is that electricity didn't immediately transform factories. For a long time, factories simply swapped the central steam engine for an electric motor while keeping the same layout, workflows, and assumptions. Electricity was new, but its potential was stifled by force-fitting it into old factory systems.

The big productivity gains came later, when factories stopped treating electricity as a cleaner steam engine and started redesigning work around smaller motors distributed throughout the factory. Once each machine could have its own motor, the factory no longer had to organize itself around a single driveshaft. Work could instead be reorganized around the flow of production.

That's a decent description of where many enterprises are with AI today. They are buying copilot licenses by the thousands, wiring agents into existing applications, and then wondering why results are so uneven. This is the equivalent of swapping the steam engine for an electric one and declaring the AI modernization work done. It's not even close. The real payoff will not come from asking AI to write the same tickets a bit faster but from changing how teams define work and how (and what) developers build. The “factory” has to change.

Experience Cuts Both Ways

There's an obvious danger in romanticizing youth. Plenty of bad software has been written by people with unlimited confidence and limited context. Enterprises need software that works, but “works” also means it complies, scales, respects security boundaries, and more. This is where experienced developers matter a lot. The agent era makes engineering judgment more important than ever. AI makes it easier to generate code, but easier code generation can become easier technical debt generation. The limiting factor becomes less “Can we create something?” and more “Can we create the right thing, in the right place, with the right constraints?” Taste is required.

Senior engineers are often better at seeing those constraints because their experience gives them “taste.” They know why the weird validation rule exists and remember the customer who depended on undocumented behavior. They understand why a simple schema change can turn into a multi-week migration. But experience also has a shadow side: it can make the current process feel inevitable. A senior engineer may see an AI assistant as a faster autocomplete because that's the easiest way to fit AI into their existing mental model. A junior developer, less invested in the old workflow, may ask more interesting questions: Why are we doing this ticket at all? Why isn't the spec executable? Why can't the agent generate the test harness first? It's not that the more experienced developers don't know these questions; they may simply not have the energy to rage against the machine.

The Value of Inexperience

The worst way to use junior developers in the AI era is to treat them as cheaper versions of senior developers. That was always a bad idea, but AI makes it worse. If the job is “take this ticket, generate some code, and send it to a senior person for review,” the junior developer becomes a human wrapper around a coding assistant. That helps no one. The junior doesn't learn much, the senior gets buried in review, and the enterprise ends up with more code, which is hardly a good thing.

Instead, junior developers should be given room to explore new workflows, with just enough oversight from experienced colleagues. That might mean giving these newer developers interesting questions to answer, such as: How would we redesign onboarding if every internal API had an AI-readable contract and examples that actually worked? How would we change code review if the agent produced a change summary, test evidence, dependency risk, and rollback plan with every pull request? How would we build features if product requirements were written as executable acceptance tests rather than vague prose? How would we reduce toil if agents could safely perform routine migrations, dependency updates, or incident triage within clearly defined boundaries? These are not toy problems. They're not “junior work.” They're exactly the sort of process redesign that enterprises need but generally avoid because everyone is too busy running on the existing hamster wheel.

Finding the Balance

So what should engineering leaders do? First, stop treating AI adoption as an individual productivity contest. Measuring AI productivity in number of lines written is a mistake. Instead, ask what part of the software delivery process no longer makes sense. AI's biggest gains will come when we change how we specify, test, review, and ship software. Second, mix up AI workflow teams. Combine two or three newer developers who are fluent in AI-native tools with two or three senior engineers who understand production, security, architecture, and organizational constraints. Then give them a real workflow to redesign, such as dependency upgrades or test creation. Third, make the senior engineer's job less about saying no and more about defining the guardrails within which others can say yes. Good senior engineers should define the paved roads: approved patterns, test requirements, observability standards. Then let junior developers and agents move quickly inside those boundaries. Fourth, reward deletion. Going back to the factory electricity metaphor, we'll fail with AI modernization if we simply add AI without removing outdated processes.

Bring Everyone to the Table

The future of software development won't belong to the young. It won't belong to the old, either. It will belong to teams that combine the talents of both. Newer developers often bring impatience. They're less likely to accept the existing workflow as sacred. They're more likely to try weird tools, compose them in unexpected ways, and wonder why enterprise software development feels like a ritualized exercise in waiting for permission. Experienced developers bring judgment. They know that software has users, auditors, attackers, budgets, latency, history, and consequences. They know that the right answer is often boring, and boring is good. Enterprises need both. They need the developer who asks why the factory is still organized around the old drive shaft, and they need the developer who knows which machines will kill someone if moved casually. In sum, every development team needs people who know why the old system exists, as well as those who don't.

Source: InfoWorld News

The numbers are staggering. According to recent analysis cited by Reuters, US technology companies—including Alphabet, Amazon, Meta, and Microsoft—are expected to spend about $650 billion on AI-related infrastructure in 2026, up from roughly $410 billion in 2025. This growth signals that AI is not just another software wave sitting neatly atop the existing cloud stack; it is forcing a redesign of the stack itself.

That redesign goes deep into networking and data movement. Nvidia recently announced plans to invest $2 billion each in photonics companies Lumentum and Coherent. The pressure points are shifting from raw compute to how quickly data can move between processors, racks, and clusters without creating bottlenecks or power inefficiencies. Latency, throughput, and energy usage become first-order economic concerns as AI systems scale.

All of this suggests that AI will drive more demand for public cloud computing, but it will do so unevenly. Public cloud providers remain the fastest way to access advanced infrastructure, global scale, and managed AI services. At the same time, the cost profile of large, persistent AI workloads is prompting many enterprises to reconsider whether the traditional hyperscaler model should remain the default destination for every stage of the AI life cycle.

Most AI starts in the public cloud

When companies are experimenting, speed matters more than optimization. Public clouds give teams immediate access to GPUs, foundation model APIs, vector databases, orchestration tools, security controls, and integration services. They also allow businesses to quickly start pilots without waiting for procurement cycles, data center expansions, or specialized infrastructure teams.

Given the high level of uncertainty, the public cloud is often the right choice for first-generation AI. Enterprises do not yet know which use cases will deliver value, how much inference traffic they will see, or which architecture model will ultimately survive. At this stage, the ability to quickly try many things is more important than squeezing every dollar from the underlying infrastructure. Managed services reduce friction, and friction is the enemy of early adoption.

This is why we are seeing strong initial demand for AI land in public cloud environments. Enterprises are building chatbots, copilots, knowledge assistants, document automation systems, and code generation tools there because the cloud dramatically lowers the barrier to entry. It provides compute as well as a full operating environment for AI experimentation.

Next-gen AI systems present choices

The second generation of enterprise AI systems looks different. Once a use case proves its value and usage becomes persistent, the financial model changes. A workload that looked inexpensive during a proof of concept can become shockingly expensive when it runs at production scale, especially if it depends on premium GPU instances, high-performance storage, constant network traffic, and managed services layered on top of one another.

That is where repatriation enters the conversation. We are starting to see a pattern in which enterprises build first-generation AI systems on public clouds, learn what works, and then move some of those workloads back on-premises or onto so-called neocloud providers that offer AI-optimized infrastructure at a lower cost.

On-premises deployment is attractive when utilization is steady, data gravity is high, governance requirements are strict, and the organization has sufficient scale to justify owning or directly controlling the infrastructure. Neocloud options become attractive when enterprises still want an external provider but do not want to pay the full premium often associated with large hyperscalers. These specialized providers are increasingly positioning themselves around dense GPU capacity, simpler pricing, and architecture built specifically for AI rather than for general-purpose enterprise IT.

This is an important adoption pattern because it dispels the old assumption that cloud migration is always one-way. In the AI era, workload placement is becoming more fluid. Enterprises are learning that the best place for experimentation may not be the best place for steady-state production and that AI economics can punish architectural laziness much faster than traditional enterprise applications ever did.

AI and public cloud demand

How much demand will AI drive for public cloud computing? Quite a lot, especially in the near term. Every major enterprise AI initiative will likely engage the public cloud in a meaningful way, whether for model development, training bursts, integration services, security tools, or global deployment. But it would be a mistake to assume that all demand will remain locked in traditional hyperscalers over time.

Some AI workloads will stay in the public cloud permanently because they are bursty, globally distributed, hard to predict, or tightly coupled to cloud-native services. Other workloads, especially those with stable usage patterns and heavy inference volume, will be candidates for relocation. Economics will drive those decisions more than ideology.

The likely outcome is a more segmented market. Public clouds will dominate the front end of AI adoption and continue to play a major role in hybrid operations. On-premises environments will regain relevance for cost-sensitive, steady-state, and compliance-heavy workloads. Neocloud providers will grow as a middle option for enterprises seeking external AI capacity without paying full hyperscaler prices. In short, AI will increase public cloud demand, but it will also heighten scrutiny of the correct fit in the long term.

Three factors to consider

First: Speed and cost are distinct metrics. The public cloud is usually the fastest way to get an AI initiative off the ground, and that speed has real business value. But the architecture that wins a pilot may end up destroying the production budget. Enterprises need a placement strategy from day one, even if they start in the cloud.

Second: AI workload economics differ from those of traditional applications. Training, inference, data movement, storage, and model serving can interact in ways that quickly create cost surprises. Organizations should model not only compute usage but also utilization patterns, network flows, and the costs of managed services surrounding the core AI stack. Without that discipline, they risk designing systems that are technically elegant but financially unsustainable.

Third: Future flexibility matters more than short-term convenience. Enterprises should avoid building AI systems so tightly around a single provider's proprietary stack that moving becomes painful or impossible. The winners in this market will be the companies that preserve optionality, enabling them to shift workloads across public clouds, on-premises environments, and emerging neocloud platforms as economics, regulations, and business requirements evolve.

The real question is not whether the cloud will benefit, but how long each AI workload will remain in the cloud. AI will unquestionably generate significant new demand for public cloud computing. For most enterprises, AI workloads will stay in the cloud long enough to enable rapid innovation, but they will not necessarily remain there forever.

Source: InfoWorld News

Economic Forces at Work

The timing of this trend is no coincidence. Homes have become exceptionally expensive, especially for those who purchased at peak prices and interest rates. Mortgage payments are a heavy burden, and costs for insurance and taxes continue to rise. In response, homeowners are increasingly looking to underutilized parts of their properties as sources of recurring income. Spare rooms become short-term rentals, garages become workshops or accessory dwelling units, and rooftops become solar panel arrays. Now, basements, utility rooms, and detached structures are being eyed as potential homes for small-scale server infrastructure.

Simultaneously, businesses are rethinking where compute should reside. The explosion of AI workloads is driving demand for processing capacity, and edge computing is expanding. Not every application requires a hyperscale facility, and not every organization wants to pay hyperscale prices. There is a strategic advantage to pushing workloads closer to users or into lower-cost, more distributed locations. Residential hosting becomes one possible answer to a question the industry is already asking: How much infrastructure can be decentralized without losing economic and operational control?

Cultural shifts also play a role. A growing number of homeowners have technical knowledge of racks, uninterruptible power supplies (UPS), network monitoring, remote access, and even local power upgrades. The gap between enterprise-level infrastructure knowledge and prosumer knowledge has narrowed, making the idea of hosting servers at home feel more achievable, even if the commercial barriers remain substantial.

Business Models Taking Shape

It is important to understand that there is no large, polished market where random homeowners openly host third-party servers like Airbnb hosts rent rooms. Instead, several adjacent business models point in that direction without fully embracing residential colocation.

One model is the controlled edge-host program. In this arrangement, a company places or manages compute equipment in selected distributed locations, often with strict standards for connectivity, power, and maintenance. The homeowner or site operator participates in a curated hosting network where the provider controls the service architecture. Another model is the decentralized compute marketplace, where individuals sell spare compute capacity from their own hardware. This is closer to monetizing residential infrastructure, but it is not the same as taking custody of someone else’s physical server and being responsible for the environment. A third model is the traditional infrastructure broker or marketplace, which matches buyers and sellers for colocation and bare-metal services. These brokers typically connect enterprises to professional facilities, not to homeowners.

The components of a market are visible: distributed demand exists, brokering exists, and willing hosts likely exist. However, the residential version remains incomplete because trust, standardization, and liability models are still underdeveloped.

The Upside Is Obvious

The strongest positive aspect of this potential market is financial. If a homeowner can generate enough monthly income to offset part of a mortgage payment, the idea will attract attention, especially in markets where carrying costs are high. Hosting infrastructure appears more stable and less socially intrusive than short-term rentals. There is also an argument for asset utilization: underused spaces like basement corners or detached workshops can be turned into productive revenue streams. For businesses, residential locations may offer lower real estate costs, faster deployment, and better geographic distribution for select workloads. In regions with cheap electricity and strong broadband, a modest amount of residential hosting could fill gaps that do not warrant full commercial data center expansion. Homes will not replace data centers, but they might complement them in specific scenarios.

The Downsides Are Everything Else

The negatives are significant. Residential power is not data center power. Residential broadband is not enterprise-grade networking. A private home is not a secure, redundant, environmentally controlled facility. Power is the first issue: most homes are not designed to handle sustained commercial server loads without expensive electrical upgrades. Once backup batteries, UPS systems, cooling equipment, and dedicated circuits are added, the project becomes more like a facilities operation than a side hustle. Heat and noise are continuous problems. Commercial hardware generates significant heat and noise, affecting home comfort, climate control costs, and equipment reliability. Maintenance becomes routine, and the home absorbs the rhythm of an always-on machine room.

Then come the risks that stall many creative ideas: fire hazards, water damage, physical theft, tampering, insurance complications, zoning restrictions, HOA objections, lease restrictions for tenants, and questions about who can access the equipment and when. Liability if a customer’s hardware is damaged, and compliance concerns if sensitive data or regulated workloads are involved, further complicate matters. All of these are manageable in theory, but they are precisely why professional facilities exist.

Customer trust may be the biggest obstacle. Most businesses are comfortable buying compute from a recognized provider because they assume a predictable operating environment. That assumption weakens significantly when infrastructure sits in a private residence. Who is responsible during an outage? What happens during a storm, flood, or neighborhood power event? How is physical access controlled? How are incidents documented? These questions determine the model’s viability.

What Is Realistic from Here?

Residential data hosting is unlikely to become a mainstream large-scale model. The economics of professional data centers win in most situations because they were built to solve exactly the problems that home models struggle with: reliability, security, redundancy, and customer assurance. Purpose-built environments handle these better. However, the concept should not be dismissed outright. In some parts of the country, a path forward may exist: cheap power, upgradeable electrical service, strong broadband, detached or isolated space, favorable local rules, and workloads that benefit from geographic distribution without requiring pristine enterprise conditions. In those scenarios, carefully managed micro-hosting could make sense.

The realistic future is likely not an Airbnb for random servers or entire neighborhoods converted into basement data centers. Instead, it will be a selective market where curated providers match specific homeowners or small properties with specific infrastructure needs under tightly controlled terms. What starts as a niche could still be enough to matter. As the industry continues to grapple with AI's insatiable demand for compute, every creative solution deserves serious examination, even if the majority of deployments remain in traditional data centers.

Source: InfoWorld News

Recent comparisons reveal that neocloud providers are often dramatically cheaper. For similar compute capacity, hyperscalers cost roughly three to six times more than specialized competitors. For instance, NVIDIA H100-class compute runs about $2.01 per hour on Spheron versus approximately $6.88 per hour on AWS—a difference of 3.4 times for comparable AI processing. While specific enterprise rates may vary, the simple fact that lower-cost alternatives exist is reshaping buyer behavior.

This pricing gap is not a trivial rounding error. The bills are large enough to influence architectural decisions, vendor strategies, and the very locations where AI innovation takes place. Enterprises are waking up to the fact that they are paying several times more for the same class of compute simply because they stick with a familiar brand.

When 'premium' isn't enough

For years, hyperscalers enjoyed a clear value proposition: global reach, mature security, integrated tools, elastic capacity, and an ecosystem that minimized operational friction. These benefits remain valuable, but AI workloads expose a flaw in the traditional cloud pricing model. When compute is the core and can be sourced elsewhere at significantly lower cost, the surrounding ecosystem must be exceptional to justify the markup. In many cases today, it is not.

Hyperscalers appear to assume that AI buyers will accept the same pricing strategies that worked for traditional cloud migrations. That assumption is risky. AI buyers are not merely lifting and shifting old enterprise applications. They are training, fine-tuning, and deploying models in environments where utilization, throughput, latency, and token economics are monitored in real time. Their boards, investors, and finance teams are asking tougher questions. If the answer is that the enterprise is paying several times more for the same compute because it’s easier to stick with a familiar brand, that decision will not hold up.

The real issue is not that hyperscalers are expensive in absolute terms. It is that they are becoming expensive relative to an expanding set of credible alternatives. Buyers will always pay more for better outcomes, but they will resist paying much more for little or no proportional benefit. In AI, proportional benefit is increasingly hard for hyperscalers to prove. A customer does not receive higher model accuracy just because the invoice came from a household brand. A workload does not become more strategic because it runs in a famous control plane. The chip is still the chip. The cluster is still the cluster. The economics are still the economics.

AI buyers become more rational

The next phase of the AI market will not revolve around who can generate the most headlines. Instead, success will depend on delivering reliable performance at sustainable costs. This shift favors disciplined operators that optimize for GPU availability, efficient scheduling, and simple commercial models. It also benefits enterprises willing to blend different environments rather than always relying on the largest cloud vendor for every workload.

The conversation is moving toward workload placement strategies. Enterprises are growing comfortable with the idea that different AI jobs belong in different places. Some workloads will stay on hyperscalers because integration benefits are real. Others will move to private clouds for security, data gravity, or regulatory reasons. Still others will land on sovereign platforms due to national or industry-specific requirements. A growing number will be routed to neoclouds because the price-performance equation is too compelling to ignore.

This is not a rejection of hyperscalers. It is a rejection of careless pricing. The biggest cloud providers will remain important for AI, but their role is shifting from the default choice to one option among many. That represents a major strategic downgrade driven not by technological weakness but by pricing practices.

The market rewards discipline

The cloud industry has seen this cycle before. Established companies believe their size protects them, that customers prioritize convenience above all else, and that pricing power is forever. Then a new group of competitors emerges with a sharper value proposition and fewer outdated assumptions. Initially, incumbents dismiss them as niche players. But these players improve, specialize, and attract the most cost-conscious innovators. By the time incumbents react, the market has already shifted.

That is exactly the risk hyperscalers face in AI today. If they continue treating GPU-driven workloads as a way to maintain high margins across compute, storage, networking, and managed services, they will train customers to look elsewhere. Once that becomes a habit, it will be hard to break. Customers who develop procurement discipline around lower-cost AI infrastructure won’t quickly return just because a hyperscaler finally cuts prices.

The next winners in AI infrastructure may be the providers that understand a hard truth: When the market is scaling at this speed, adoption matters more than margin preservation. If AWS, Microsoft, and Google do not learn that lesson quickly, they may find that they were not undercut by competitors—they priced themselves out all on their own.

Source: InfoWorld News

Yes, AI can write code. That much is clear. The problem is that many vendors and leaders have taken this fact and exaggerated it into something absurd: the idea that software engineering has become essentially optional. They believe that if a model can generate application logic, then experienced developers, architects, and performance engineers are suddenly unnecessary expenses. This kind of thinking might seem clever in a boardroom presentation, but it falls apart in real-world production.

The Unraveling of the AI Code Generation Promise

The applications generated by AI often work, which makes this approach deceptively effective. The demo succeeds, and at first, the feature seems to function properly. Everyone congratulates themselves. But then the system is deployed at scale and the cloud bill skyrockets. What used to cost $10,000 a month on AWS suddenly jumps to $300,000 or more. In the worst cases, companies face multimillion-dollar monthly cloud costs for systems that should never have been built that way in the first place.

AI can generate code, but it doesn't grasp efficiency like experienced engineers do. It doesn't prioritize cost-efficient architecture. It doesn't instinctively avoid wasteful service calls, excessive data movement, poor caching, bad concurrency patterns, noisy database behavior, or compute-heavy nonsense that might look good in a code sample but fails in real-world use. It produces something plausible. However, it doesn't deliver something financially responsible.

Then comes the favored bad argument from the AI hype crowd: "Just optimize it afterward." Fine. With whom? These companies fired the experts who understood complex systems, leaving behind AI-generated code no one fully understands. The remaining humans didn't build it, don't know its structure, and can't safely modify it. They are trapped with applications they can run at an exorbitant price but not reliably maintain. That isn't innovation. That's self-inflicted technical debt on an industrial scale.

Compressing Failure Cycles

Normally, technical debt creeps in over time. A rushed release here, a shortcut there, an old dependency nobody wants to touch. With AI-generated enterprise software, companies are creating years of technical debt in a matter of months. It's almost impressive, in the worst possible way. They are compressing entire failure cycles because AI lets them build faster than they can think.

And now the frantic calls begin. Why is the app slow? Why are users complaining? Why are outages harder to diagnose? Why is the cloud bill out of control? Why can't anyone fix this without causing something else to fail? Why doesn't the AI coding promise look anything like the sales pitch?

This pattern is playing out across industries. Companies that once prided themselves on engineering excellence are now struggling to keep their AI-generated systems running. The cost in terms of both money and reputation is devastating. Short-term stock bumps from announcing layoffs or AI transformation are quickly erased when the real damage shows up three or four quarters later. Executives can always blame execution, market conditions, or "unexpected complexities." Meanwhile, the company's engineering foundation is being hollowed out.

Understanding the Pros and Cons of AI in Software Development

None of this means AI is useless—far from it. AI can absolutely help software teams move faster. It can assist with scaffolding, documentation, repetitive coding tasks, test generation, and even architectural brainstorming. In the hands of strong engineering teams, it is a legitimate accelerator. But somewhere along the way, too many executives decided that "accelerator" meant "replacement," and the bad decisions began.

Good engineers are not valuable because they can type code into an editor. Good engineers are valuable because they understand systems. They understand trade-offs. They understand why one design choice creates future operational pain and another choice avoids it. They understand how software behaves after launch, under load, across regions, inside complex security and compliance environments, and on top of public cloud pricing models that punish inefficiency. AI does not replace that. It imitates fragments of it.

The historical context of enterprise software development reveals that every major technological shift—from mainframes to client-server to cloud—has come with similar hype cycles. However, the fundamental need for human judgment in architecture, performance optimization, and maintainability has never disappeared. AI code generation is no different. It is a powerful tool, but it lacks the deep understanding of business context, future requirements, and operational reality that experienced engineers provide. The current rush to replace engineers is fueled by vendors who profit from overstating the future and executives looking for quick cost-cutting wins. Yet the long-term implications are dire.

Companies that have already gone down this path are now facing the consequences. The old human-built systems still exist, but the people who understood them are gone. The new AI-built systems are expensive, fragile, and opaque. Rebuilding will cost a fortune. Rehiring talent will be difficult. Some employees will not come back, and why should they? Asking engineers to fix a mess they didn't create and were laid off to create is a hard sell.

AI is nowhere near replacing software engineers at the scale being promised. Not even close. The leaders who think otherwise are gullible, not brave. Worse, they are risking their companies for marketing stories pushed by people who profit from overstating the future. In the next few years, we will see some difficult case studies. Some companies will quietly change direction. Others will spend a lot of money trying to fix issues. A few might shut down entirely because they made a fatal management mistake: they bought into the hype, fired the people who knew what they were doing, and handed control of systems to individuals who couldn't truly manage them.

If companies want to avoid that outcome, the answer is straightforward. Keep your engineers, use AI to enhance their capabilities, and assign experienced architects to lead, enforce governance, control costs, and ensure maintainability. Treat AI as a tool and not a replacement for human judgment. It's easy for hype cycles to make lots of magical claims. Reality is less exciting. Look past the marketing spin to long-term implications, because reality is what pays the cloud bill.

Source: InfoWorld News

The complaint does not name the alleged hackers directly, as their identities remain unknown. Instead, Grande's legal team will likely seek court permission to issue subpoenas to internet service providers and online platforms to unmask the perpetrators through their digital footprints—a common tactic in cases involving anonymous cybercriminals. The lawsuit alleges that the hackers consistently gained unauthorized access to online accounts, cloud storage services, and devices used by individuals who worked closely with the singer.

A Timeline of Digital Intrusions

According to the court documents, the hacking incidents span several years, beginning as early as 2019. In that year, login credentials for a Dropbox account belonging to a photographer who had previously collaborated with Grande were stolen. The hackers then allegedly downloaded sensitive materials from that account. The following year, in 2020, the personal phone of one of Grande's producers was compromised. This breach led to the leak of unreleased master recordings, demo versions of songs, and extensive footage from recording sessions.

The most prolific year for leaks appears to have been 2023, when 45 unreleased songs made their way onto the internet ahead of their scheduled release dates. The complaint notes that these tracks included fan-anticipated material, some of which had been rumored for years. The most recent incident, occurring in 2024, involved a sophisticated phishing campaign. Hackers created a fake Gmail account and internet domain that impersonated a photographer who had previously worked with Grande. They then tricked a digital technician employed by that photographer into sending Grande's private materials directly to them. This level of deception indicates a highly organized effort rather than random cybercrime.

Content Stolen and Leaked

The stolen content includes not only music but also recording-session video footage, music video raw materials, behind-the-scenes photographs, and other private communications. Among the tracks that have been publicly leaked are 'Fantasize,' 'That Bch Is Mine,' and 'White Tee.' These songs, while not officially released, have circulated on file-sharing platforms and social media, generating millions of unauthorized streams. Grande's team argues that these leaks undermine the artist's creative control and cause financial harm, as the value of the official releases is diminished.

The lawsuit claims that the hackers not only stole the content but also actively sold it online, creating a marketplace for Grande's unreleased intellectual property. Such activities are a direct violation of copyright and privacy rights, and the singer is seeking damages that could include profits made from the unauthorized sales. The exact monetary amount sought has not been disclosed, but in similar high-profile cases, settlements or judgments can run into the millions of dollars.

The Broader Context of Celebrity Hacking

This case is far from isolated in the entertainment industry. Celebrity hacking has become a persistent problem, with stars from Taylor Swift to Lady Gaga having faced similar breaches. In 2014, the iCloud leaks—dubbed 'Celebgate'—exposed private photos of numerous celebrities, leading to federal charges against the hackers. More recently, in 2023, hackers targeted the estate of Prince to leak unreleased music. The rise of cloud storage and collaborative digital workflows has created new vulnerabilities, as artists often share files with dozens of collaborators, expanding the attack surface.

Ariana Grande, 31, has been one of the best-selling music artists of the last decade, with hits like 'Thank U, Next,' '7 Rings,' and 'Positions.' Her unreleased material is highly sought after by fans and bootleggers alike. The singer has historically been protective of her creative process, and this lawsuit demonstrates her willingness to use the legal system to defend her intellectual property. Legal experts note that successfully identifying anonymous hackers often involves a multi-step process: first obtaining a court order to serve subpoenas on ISPs and platforms like Google or Dropbox, then using the IP addresses and account details to trace back to real individuals.

Legal Strategy and Likely Outcomes

The decision to file in California state court gives Grande access to California's strong digital privacy laws. The subpoenas will likely demand logs from email providers, file-hosting services, and social media platforms that the hackers used to communicate or sell the stolen data. If the hackers are located outside the United States, international cooperation through mutual legal assistance treaties may be required, potentially complicating the case. However, many such cases are resolved once the identity of the hackers is revealed, as they often settle to avoid criminal charges.

Grande's attorney has stated that the singer is committed to holding the perpetrators accountable and sending a message that artists' unreleased work will be fiercely protected. The case also highlights the growing issue of cybersecurity within the music industry, where independent contractors—photographers, producers, engineers—may not have the same level of digital protection as major label servers. As the investigation unfolds, the music industry will be watching closely, as this case could set a precedent for how artists pursue justice against anonymous cybercriminals. The next steps will involve a hearing on the request for discovery before any names are revealed.

Source: MSN News

Sharing a statement through the Instagram Stories of all seven members, BTS said the decision was rooted in its belief that music should not be judged through geographical or linguistic divisions. "We have decided not to submit our music to the Grammys this year," the group said. "We hope music can be heard and loved as music itself, rather than being divided by region or language." The septet also expressed gratitude to its fans, thanking its official fandom ARMY and supporters around the world.

New Grammy Category Sparks Controversy

BTS' announcement follows the Recording Academy's decision in June to introduce Best Asian Pop Music Performance, one of five new categories added for the upcoming ceremony. While the category was created to recognize the growing global influence of Asian pop music, critics have questioned whether separating Asian artists into a dedicated category limits their chances of competing in broader award fields. Some have described the move as a form of segregation, arguing that artists should be recognized alongside all other performers rather than being divided by region.

BTS' decision has reignited that conversation, with the group's statement highlighting its desire for music to be appreciated beyond labels of language, geography or origin. The K-pop powerhouse has long been at the forefront of globalizing Korean pop music, achieving unprecedented chart success and selling out stadiums worldwide. Their refusal to participate in the new category sends a clear message that they view the Grammy framework as inherently limiting for non-Western artists.

BTS Steps Back Despite Career-Defining Year

The decision comes at a time when BTS is enjoying one of its strongest commercial runs. The group's fifth studio album, ARIRANG, released in March, debuted at No. 1 on the Billboard 200 after recording 641,000 units in its opening week — marking the biggest debut week for a group album in more than a decade. Its lead single, "SWIM," also made history by entering the Billboard Hot 100 at the top spot, further cementing BTS' position as one of the biggest acts in global music. Despite this momentum, the group has chosen not to enter the Grammy race this year.

This is not the first time BTS has engaged with the Grammy process. The group was nominated for Best Pop Duo/Group Performance in 2021 for their hit "Dynamite," though they did not win. They performed at the Grammy ceremony in 2022, delivering a powerful medley of "Butter" and "Permission to Dance." However, many fans and observers felt the group was repeatedly overlooked in major categories like Album of the Year and Record of the Year, despite their massive commercial and cultural impact. The introduction of a dedicated Asian pop category has been seen by some as a consolation prize rather than genuine inclusion.

Debate Over Categorization in the Music Industry

The controversy surrounding the Asian pop category is part of a broader debate about how award shows categorize music. Historically, genres like "World Music" or "Regional Mexican" have faced similar criticism for isolating non-English or non-Western artists. Supporters of the new Grammy category argue that it offers much-needed visibility for Asian pop acts who otherwise struggle to break into mainstream categories. Detractors, including BTS, contend that such categories reinforce the idea that Asian pop is a niche genre rather than mainstream music worthy of equal recognition.

Music industry analysts have noted that the Grammys have a complicated relationship with non-English music. While Latin music has seen growing representation in general fields, K-pop and J-pop acts rarely receive nominations outside of dedicated categories. BTS themselves were nominated in the pop field but never in the general categories. The group's decision to withhold their submission is a strategic statement that challenges the Academy to reconsider its approach to global music.

ARMY Reacts: Support and Frustration

BTS' fanbase, known as ARMY, has reacted with a mix of support and frustration. Many fans praised the group for taking a principled stand against what they see as an unfair system. Social media platforms were flooded with posts using hashtags like BTSBoycottGrammys and MusicWithoutBorders. Others expressed disappointment that the group's record-breaking year would not be recognized on the Grammy stage. The fan army has historically shown immense power in mobilizing streams and votes, and their response could influence how the Recording Academy approaches future categories.

Several other K-pop acts have also voiced support for BTS' stance. Groups like BLACKPINK, TWICE, and Stray Kids have refrained from commenting directly, but insiders suggest that many Korean entertainment companies are watching the situation closely. The Korean Music Association issued a statement expressing solidarity with BTS, noting that "the global music ecosystem must evolve beyond outdated regional boxes."

What This Means for the Grammys

The Recording Academy has not yet responded to BTS' announcement, but the move puts pressure on the organization to re-evaluate its policies. The Grammys have been under increasing scrutiny in recent years for lack of diversity and inclusion, both in nominations and in category structures. The addition of the Asian pop category was meant to address complaints, but BTS' refusal to participate may force the Academy to engage in deeper conversations about how to truly honor global music.

Some industry experts believe that BTS' decision could lead to a broader boycott or a shift in how major labels submit music for Grammy consideration. If artists with global reach continue to opt out, the prestige of the awards could diminish. Others argue that BTS is in a unique position due to their massive success and that most other Asian pop acts will still submit to gain visibility. The long-term impact remains uncertain.

For BTS, the focus now shifts to their continued artistic output and connection with fans. The group is reportedly working on new material and planning a world tour for early next year. Their statement made clear that they value direct fan interaction over institutional validation. "We hope our music can speak for itself," they concluded, echoing the ethos that has driven their rise from a small Korean company to global superstardom.

As the Grammy season approaches, all eyes will be on whether the Recording Academy responds to BTS' challenge or maintains its current course. For now, the group has drawn a line in the sand, asserting that music — regardless of its origin — deserves to be judged on its own terms.

Source: Gulf News: Latest UAE news, Dubai news, Business, travel news, Dubai Gold rate, prayer time, cinema News

June Health Scare Details

On June 15, Biles surprised fans with a post describing a terrifying health incident. She wrote, “Almost dying wasn’t on my bingo card earlier this week,” calling it “one of, if not the scariest experience of her life.” The post included a photo of her wrist with multiple hospital bands, including a red band, and a medical dressing covering an IV site. Biles explained she was placed on immediate bed rest but did not disclose the cause or diagnosis. She promised to explain the situation “sooner or later.”

Biles’ health scare came after a period of relative privacy. Known for her cautious approach to sharing personal matters, she felt compelled to reveal the incident due to its severity. Since then, she has made public appearances, including attending the 2026 ESPY Awards in New York City on July 15 and traveling to the Dominican Republic. The July 22 procedure appears to be a follow-up or treatment related to the June event, though Biles has not specified the connection.

Career Context and Comeback Landscape

Biles, 29, has been on a two-year hiatus from competitive gymnastics following the 2024 Paris Olympics. During that period, she has focused on her family, including her marriage to Owens and personal health. The gymnastics world, however, has seen a wave of comebacks from her former teammates. Suni Lee, the 2020 Olympic all-around champion, announced her return in mid-July, aiming for the 2028 Los Angeles Olympics. Jade Carey and Hezly Rivera have also joined the comeback trail, while former elite athlete Katelyn Ohashi returned to competition after a 13-year break, even making the podium at the U.S. Classic.

These developments naturally raise questions about Biles’ own future. At 29, she is older than many gymnasts competing at the elite level. However, age has not deterred others: Ohashi is also 29 and returned to competition after breast augmentation surgery in 2025. Biles herself has stated she remains undecided about attempting a fourth straight Olympic team. In interviews prior to her health scare, she expressed openness to the possibility but emphasized that her priority was her well-being.

The 2028 Olympics in Los Angeles present a unique opportunity for Biles. If she returns, she would be 31, matching the age of some older gymnasts in history. Oksana Chusovitina competed into her 40s, and Biles’ teammate MyKayla Skinner retired after Tokyo but later attempted a comeback. Biles’ unparalleled skill set, including six all-around world titles and seven Olympic medals, makes her a potential contender if she chooses to return. Yet, the recent health scare and procedure add new uncertainty.

Medical Considerations and Public Speculation

The lack of information about Biles’ condition has fueled widespread speculation. The red hospital band visible in her June post typically indicates an allergy or a Do Not Resuscitate (DNR) order, though its specific meaning in her case remains unknown. Medical experts have offered general possibilities: appendicitis, a pulmonary embolism, a severe infection, or a cardiac issue. Biles’ decision to undergo a procedure on July 22 suggests either an ongoing condition or a preventive measure.

Biles’ history with health issues includes dealing with the “twisties” during the Tokyo Olympics in 2021, a mental block that caused her to lose spatial awareness mid-air. She withdrew from several events but returned to win a bronze on balance beam. Since then, she has been open about prioritizing mental health. The physical health scare in June represents a new challenge.

Fans have expressed concern for Biles’ well-being, especially given her private nature. Her husband Jonathan Owens has been a supportive presence, and Biles often shares glimpses of their life together. The timing of the procedure—on Owens’ birthday—adds a personal touch to the ordeal. In her Instagram story, Biles signed off affectionately, indicating she is recovering.

Historical Impact and Legacy

Simone Biles is widely regarded as the greatest gymnast of all time. She has four signature moves named after her in the Code of Points—two on vault, one on balance beam, and one on floor exercise—a rarity in the sport. Her dominance includes five World all-around titles and a record 25 World medals. She also won team gold and all-around gold at the 2016 Rio Olympics and silver in 2020 Tokyo. Even during her hiatus, her name remains synonymous with excellence.

Her influence extends beyond gymnastics. Biles has been a vocal advocate for survivor rights, especially in light of the Larry Nassar scandal, and she testified before the Senate. She also launched a mental health initiative and has appeared in major commercials and endorsements. Her personal journey—from being adopted by her grandparents to overcoming adversity—resonates with millions.

If Biles decides to retire permanently, she would leave an unmatched legacy. But her hints at an Olympic return, combined with the current comeback trend among her peers, suggest that she might not be done. The 2028 Games would be the first Olympic Games held in Los Angeles since 1984, and the city’s connection to Biles’ early career—she trained at World Champions Centre near Houston—adds emotional weight. However, any decision will hinge on her health.

Next Steps and Fan Support

As of late July 2026, Biles has not provided further updates on her condition or the results of the procedure. Her social media presence remains active but carefully curated. Meanwhile, the gymnastics community continues to rally around her. USA Gymnastics has not commented on Biles’ status, but former teammates have sent well-wishes.

For now, fans are advised to wait for official announcements. The uncertainty echoes the period after Tokyo when Biles took time off to recover. Unlike that situation, where the issue was mental, this health scare appears physical. The fact that Biles shared the news at all suggests she is managing the situation and wants her followers to be aware. The coming months will likely bring clarity, whether through her own disclosure or through her return to training.

In the meantime, the gymnastics world moves forward. Suni Lee‘s comeback training includes attempting a new skill on uneven bars, and Ohashi’s return has drawn attention to the possibility of older gymnasts competing at high levels. If Biles joins them, the 2028 U.S. Olympic trials could be one of the most competitive in history. But if her health requires her to step away permanently, her legacy is already secure.

The July 22 procedure, occurring on her husband’s birthday, underscores the personal nature of this chapter. Biles has always balanced her public persona with private struggles, and this episode is no different. As she recovers, the world watches with bated breath, hoping that the greatest gymnast of all time will get the chance to write one final, triumphant chapter—if she so chooses.

Source: Forbes News

Terörsüz Türkiye süreci, Kabine'nin en önemli gündem maddelerinden birini oluşturdu. Türkiye Büyük Millet Meclisi'nin (TBMM) tatile girmeden yasalaşması planlanan düzenlemede gelinen son aşama kapsamlı bir şekilde ele alındı. Bu düzenleme, terör örgütü üyelerine yönelik kontrollü infaz uygulamasını devreye sokmayı hedefliyor. Normal şartlarda 31 Temmuz'da tatile girmesi beklenen TBMM'nin, kanuni düzenlemelerin tamamlanması amacıyla 14 Ağustos'a kadar açık kalacağı öğrenildi. Hazırlıkları süren çerçeve yasanın yaklaşık 10 maddeden oluşması planlanıyor. AK Parti kurmaylarından edinilen bilgilere göre, terör örgütü üyelerine yönelik hazırlanacak düzenlemede kesinlikle af yer almayacak. Bunun yerine kontrollü infaz uygulaması devreye sokulacak. Kontrollü infaz, belirli şartlar altında terör örgütü üyelerinin cezalarının belirli bir kısmını çektikten sonra serbest bırakılmalarını ancak sıkı takip ve denetim altında tutulmalarını öngörüyor. Bu uygulama, toplumun güvenliğini sağlarken aynı zamanda terör örgütlerinin çözülmesine katkıda bulunmayı amaçlıyor. Süreç kapsamında ayrıca, terör örgütü üyelerinin etkisiz hale getirilmesi ve topluma kazandırılması için çeşitli rehabilitasyon programları da planlanıyor. Kabine toplantısında bu programların detayları ve uygulama takvimi de masaya yatırıldı. Terörsüz Türkiye süreci, ülkenin uzun yıllardır mücadele ettiği terör sorununa kalıcı bir çözüm bulmayı hedefliyor. Bu kapsamda atılacak adımlar, hem güvenlik hem de hukuki boyutlarıyla ele alınıyor. Toplantıda ayrıca, sürecin toplumsal kabulü ve siyasi partiler arasındaki mutabakat konuları da değerlendirildi.

Dış politika başlığında, Orta Doğu'da yaşanan son gelişmeler Kabine'nin bir diğer önemli gündem maddesini oluşturdu. Özellikle ABD ile İran arasında devam eden gerilim, bölgede istikrarı tehdit eden en önemli faktörlerden biri olarak öne çıkıyor. Ankara, bölgede kalıcı barışın sağlanmasına yönelik diplomatik girişimlerini sürdürüyor. Washington-Tahran hattındaki son gelişmeler, Kabine üyeleri tarafından ayrıntılı bir şekilde değerlendirildi. Türkiye, bu gerilimde arabuluculuk rolü üstlenerek taraflar arasında diyalog kanallarını açık tutmaya çalışıyor. Ayrıca, Hürmüz Boğazı'nda yaşanan kriz de toplantının gündeminde yer aldı. Bu kriz, küresel enerji arzı üzerinde önemli bir tehdit oluştururken, Türkiye'nin enerji güvenliği ve ticaret yolları üzerindeki etkileri masaya yatırıldı. Kabine üyeleri, bölgedeki gelişmeleri yakından takip ettiklerini ve gerektiğinde müdahale etmeye hazır olduklarını vurguladı. Orta Doğu'daki diğer gelişmeler arasında Suriye'deki durum, Irak'taki siyasi istikrarsızlık ve Yemen'deki insani kriz de değerlendirildi. Türkiye, bu sorunların çözümü için uluslararası platformlarda aktif rol oynamaya devam ediyor.

Ekonomi başlığında ise, Orta Doğu'daki gelişmelerin küresel ekonomi üzerindeki etkileri ele alındı. Özellikle Hürmüz krizi nedeniyle piyasalarda oluşan dalgalanmalar, enflasyon üzerindeki baskılar ve Türkiye'nin uyguladığı ekonomi programının son durumu toplantının öne çıkan konuları arasında yer aldı. Kabine üyeleri, Orta Vadeli Program (OVP) ve 12'nci Kalkınma Planı kapsamında alınan tedbirleri gözden geçirdi. Enflasyonla mücadelede elde edilen ilerlemeler, büyüme hedefleri ve istihdam politikaları da değerlendirildi. Ayrıca, küresel enerji fiyatlarındaki artışın Türkiye ekonomisine etkileri ve bu etkileri azaltmak için alınabilecek önlemler üzerinde duruldu. Merkez Bankası'nın para politikası adımları ve faiz kararları da toplantının bir diğer önemli gündem maddesiydi. Kabine toplantısında, ekonominin genel görünümü ve önümüzdeki dönemde atılması gereken adımlar kapsamlı bir şekilde ele alındı. Toplantının ardından Başkan Erdoğan'ın alınan kararlar ve gündemdeki başlıklara ilişkin bir açıklama yapması bekleniyor.

Source: takvim.com.tr News

The study, detailed in a recent report via IBM Think, involved participants answering six obscure questions about movie details—questions deliberately chosen because an AI model answered them incorrectly every time. This allowed researchers to isolate the effect of AI consultation independent of advice quality. The results were striking: without AI, participants declined to answer roughly 36 to 44% of the time across two experiments. With AI available, that figure dropped to just 3 to 6%. Accuracy also plummeted, from 27.5% correct when working alone to only 9.2% with AI involved.

Capraro suspects the AI lowers the threshold of certainty people need before committing to an answer, essentially recalibrating how they judge their own knowledge. Interestingly, the effect persisted even when AI advice appeared automatically without being actively requested, suggesting that passive exposure to AI output can also skew judgment. This challenges the assumption that the danger only arises when people actively seek help—the mere presence of AI suggestions may be enough to override natural caution.

Why does wrong AI advice make people so sure of themselves?

The phenomenon ties into cognitive biases like overconfidence and automation bias, where humans tend to trust machine-generated recommendations even when they contradict available evidence. In the study, participants who received incorrect AI advice became noticeably more certain of their own answers, despite being demonstrably less accurate. They also became far less willing to admit they didn’t know an answer, even when the option to remain silent was clearly available and they were rewarded for accuracy.

The research mirrors earlier findings on “meta-cognitive errors,” where external aids can distort self-assessment. For decades, psychologists have known that providing people with answers—even wrong ones—can shift their internal calibration of confidence. What’s new here is the scale and immediacy of AI’s influence. Unlike a human adviser or a textbook, AI systems often deliver answers with an aura of precision and authority, which may amplify the effect. Capraro’s team also observed that the confidence boost was not limited to people who explicitly trusted the AI; even those who were skeptical showed similar patterns, indicating a subconscious influence.

Another factor may be the speed and ease of AI interaction. When advice comes instantly and without effort, it may bypass the usual mental checks that prompt doubt. The study controlled for this by making the AI advice appear automatically in one experiment, and the results remained unchanged—suggesting that the key driver is not the act of seeking help, but the mere presence of an apparent “expert” answer.

Does raising the stakes change anything?

To test whether consequences could counter the effect, the researchers introduced financial rewards and penalties for correct and incorrect answers. They found that this made people somewhat more cautious and accurate, but the underlying pattern never fully disappeared. Even with money on the line, participants exposed to incorrect AI advice still displayed higher confidence and lower accuracy than those working alone. This indicates that while incentives can mitigate the effect, they cannot eliminate it entirely.

Capraro draws a clear distinction: AI should augment human judgment, not replace it entirely. He worries this effect extends to children, who are increasingly growing up with instant answers from voice assistants and chatbots. If young minds never experience the productive discomfort of doubt during learning, they may fail to develop the critical thinking skills needed to evaluate information. A wave of recent reports suggests that the AI-addicted younger generation is already turning to chatbots for help with everything from homework to in-person conversations.

“Doubt isn’t a failure of knowledge,” Capraro said. “It’s often where real knowledge actually begins.” His comment underscores a broader concern in educational psychology: that the ease of AI-driven answers may short-circuit the very process of inquiry that builds deep understanding. Studies on “cognitive offloading” have shown that when people rely on external tools (like calculators, search engines, or now AI) to answer questions, they retain less information and become less adept at reasoning from first principles.

The implications extend beyond education. In professional settings—from medicine to finance to journalism—the same dynamics could lead to overconfident decision-making when AI advice is flawed. If a doctor uses an AI diagnostic tool that makes subtle errors, the research suggests they may become more convinced of their own assessment while ignoring warning signs. Similarly, financial analysts might overcommit to strategies validated by an AI model that is actually biased.

Capraro’s study is part of a growing body of work examining the psychological impact of AI interaction. Earlier this year, researchers at Stanford found that people who used AI writing assistants became more confident in their own writing ability, even when the AI introduced errors. Another study from Harvard noted that reliance on AI for medical diagnoses reduced doctors’ willingness to second-guess their initial impressions. Together, these findings paint a picture of a technology that, while enormously powerful, can subtly undermine human judgment if not used with caution.

The open question is how best to design AI interfaces that encourage critical thinking rather than blind acceptance. Some experts advocate for “explainable AI” that highlights uncertainty and prompts users to reflect before accepting advice. Others recommend training programs that teach people to recognize their own cognitive biases when interacting with AI. Still, the new research suggests that the effect may operate below conscious awareness, making it difficult to counteract through awareness alone.

For now, Capraro’s work serves as a cautionary tale. The very tool designed to augment human intelligence may, under the wrong conditions, do the opposite—not by replacing thought, but by disabling the healthy skepticism that prompts us to think twice. As AI becomes more integrated into daily life, understanding when and why it breeds false confidence will be crucial for ensuring that we remain the masters of our own decisions.

Source: Digital Trends News

The project was led by UC Riverside doctoral researcher Rohit Kundu and electrical and computer engineering professor Amit K. Roy-Chowdhury, in collaboration with researchers from YouTube and Google DeepMind. The team published their findings on the preprint server arXiv, and the tool represents a significant step forward in the ongoing battle against deepfake misinformation.

How does SAGA figure out where a fake video came from?

SAGA (Source Attribution of Generative AI Videos) looks for subtle visual patterns left behind unintentionally by AI video generators. The tool compares these patterns to fingerprints and distinct traces that differ from one AI system to another. Unlike still images, videos carry motion and timing information, meaning visual elements shift from frame to frame. Different AI generators produce their own subtle quirks in those shifts. SAGA studies both individual frames and how visuals evolve across an entire sequence, using a technique called Temporal Attention Signatures to build a distinct profile for each AI system based on patterns averaged across many of its videos.

The core idea behind SAGA is that every generative AI model leaves behind a hidden signature—a set of statistical artifacts that arise from the model's architecture, training data, and internal processes. These artifacts are not visible to the naked eye but can be detected through sophisticated machine learning analysis. For example, some models generate videos with a slight flicker in specific frequency bands, while others introduce subtle inconsistencies in how objects move or how textures change over time. SAGA's Temporal Attention Signatures capture these nuances by focusing on how the model 'attends' to different parts of the video during generation, creating a unique behavioral fingerprint.

The team tested SAGA against 19 different AI video generators, covering both text-to-video and image-to-video systems. It can confirm whether a video is real or fake, identify whether it originated from text or an image, and even point to the specific development team behind it. In their experiments, SAGA achieved high accuracy in attributing videos to their source models, even when the models were from the same family or had similar training data.

The challenge of deepfake detection

Deepfake technology has evolved rapidly since its emergence in the late 2010s. Early deepfakes were easy to spot due to obvious flaws like unnatural blinking, mismatched lighting, or distorted facial features. But with the rise of generative adversarial networks (GANs) and later diffusion models, AI-generated videos have become nearly indistinguishable from real footage. Tools like Sora by OpenAI, Runway Gen-2, and various open-source models can now produce high-resolution videos that fool human observers.

Traditional deepfake detection methods have focused on identifying whether a video is real or fake, but they rarely provide information about the source. This limitation makes it difficult for investigators to trace the origin of a deepfake campaign or understand which tools are being used by malicious actors. SAGA addresses this gap by not only detecting fakes but also attributing them to specific generators, enabling a more sophisticated response.

The arms race between deepfake creators and detectors is a constant struggle. As detection methods improve, generators adapt to hide their footprints. SAGA's approach is resilient because it exploits inherent properties of the generation process that are hard to eliminate without affecting output quality. The researchers believe that even as AI models evolve, the fundamental patterns left by their architectures will persist, allowing tools like SAGA to remain effective.

How can this tool help?

As AI-generated videos become more realistic, simply labeling content as fake is no longer enough. Knowing its source could help investigators trace misinformation campaigns, assist regulators with transparency rules, and give technology companies better insight into how fake content spreads online. For instance, if a fake video surfaces during an election, authorities could use SAGA to determine which AI model was used and potentially identify the group behind the propaganda. Social media platforms could also integrate SAGA into their content moderation pipelines to flag synthetic media and provide users with metadata about its origin.

Beyond misinformation, SAGA could be valuable for digital forensics and legal proceedings. In cases where AI-generated content is used for fraud, defamation, or harassment, being able to prove the source could strengthen evidence. Additionally, the tool could help researchers study the evolution of AI video generation by tracking how different models develop and how their signatures change over time.

The researchers acknowledge that identifying AI-generated content will remain a constant race between creators and detectors. Still, they believe tools like SAGA can make it much harder for malicious actors to hide the origins of fake videos as generative AI continues to evolve. The team has made their methodology publicly available to encourage further research and collaboration within the scientific community.

This innovation comes at a critical time when generative AI is becoming ubiquitous. With the release of powerful text-to-video models like Sora, the potential for misuse has grown exponentially. SAGA represents an important countermeasure, providing a way to hold AI-generated content accountable and maintain trust in visual media.

The study also highlights a broader trend in AI research: the shift from mere detection to attribution. While early deepfake detectors could only label content as fake or real, modern tools are increasingly capable of identifying the specific tools and models used to create synthetic media. This shift mirrors the evolution of digital forensics in other fields, such as image authentication for photographs, where metadata analysis and camera fingerprinting have become standard practices. SAGA brings similar techniques to the realm of video, adapting them to the unique challenges of generative AI.

Looking ahead, the researchers plan to extend SAGA's capabilities to handle more diverse video formats and generation methods. They also aim to improve the tool's robustness against adversarial attacks designed to fool attribution systems. By continuing to refine their approach, the UC Riverside team hopes to stay ahead of the curve and equip investigators with the tools they need to combat AI-driven disinformation effectively.

Source: Digital Trends News