AI

Want The Pixel 10’s Entire 12GB RAM To Yourself? Here Is An Easy Fix, If You Do Not Mind Slower AI Operations

Published

7 days ago

August 30, 2025

Cade Metz

**Pixel 10 RAM Hack: Free Up 12GB, But With a Catch**

What’s Happening?

Google’s Pixel 10 packs 12GB RAM, but 3GB is reserved for AI tasks, leaving users with less memory for daily use. A simple tweak can free up the full 12GB, but there’s a trade-off: slower AI performance. Tech enthusiasts are weighing the pros and cons of this performance hack.

Where Is It Happening?

This affects users globally who own or plan to purchase the Google Pixel 10 smartphone.

When Did It Take Place?

Google made this decision during the Pixel 10’s development phase, but the workaround has recently gained attention among tech forums and users.

How Is It Unfolding?

– Google reserved 3GB RAM for AI tasks on the Pixel 10 to boost AI feature speed and efficiency.
– Users can redirect this memory back to general use through system tweaks, though AI tasks may slow down.
– The hack involves adjusting system settings but requires technical know-how.
– Debate erupts over whether sacrificing AI speed for more RAM is worth it.

Quick Breakdown

– Total RAM on Pixel 10: 12GB
– RAM allocated to Tensor TPU (AI): 3GB
– Hack frees up 3GB for apps but slows AI operations
– Requires manual system adjustments

Key Takeaways

Google’s decision to dedicate 3GB of RAM to AI tasks on the Pixel 10 aims to enhance on-device AI performance, but users seeking extra memory for apps can reclaim it with a tweak. The trade-off? AI features may not respond as quickly. This is a classic case of balancing performance priorities—more RAM for apps means AI tasks will take slightly longer. For users who rely heavily on AI features like real-time translation or advanced photo editing, this workaround might not be ideal. However, for those who prioritize smooth multitasking and app usage, the sacrifice in AI speed could be worthwhile.

It’s like choosing between a faster internet connection for one app or splitting the speed across all your tabs—both have benefits, but it depends on what you value more.

“Allocation of RAM to specialized tasks is a growing trend, but it’s frustrating for users who crave seamless performance across the board.”
– Sarah Chen, Mobile Tech Analyst

Final Thought

**The Pixel 10’s RAM hack offers a simple way to prioritize app performance over AI speed, but users must decide what matters most. While reclaiming 3GB of RAM can be tempting, the trade-off in AI responsiveness could impact usability. Google’s approach highlights the growing tension between onboard AI power and traditional multitasking needs—one that tech developers and users alike will need to navigate carefully.**

Source & Credit: https://wccftech.com/pixel-10-how-to-claim-the-entire-12gb-ram/

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Related Topics:AI performance Google Pixel 10 Minty News RAM allocation

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Cybersecurity

Hacking AI Agents-How Malicious Images and Pixel Manipulation Threaten Cybersecurity

Published

18 hours ago

September 5, 2025

Nicole Perlroth

**AI Agents at Risk: How Malicious Images Could Exploit the Next Big Tech Wave**

What’s Happening?

The growing popularity of AI agents is shadowed by a new cybersecurity threat—malicious code hidden within seemingly harmless images. This rising danger could compromise devices and user data by exploiting a vulnerability in AI’s processing power.

Where Is It Happening?

This emerging threat is global, affecting any device capable of processing AI-generated or user-uploaded images, primarily targeting computers and smartphones.

When Did It Take Place?

Research and emerging reports indicate this vulnerability is a current concern, with potential exploits already in the wild, gaining attention among cybersecurity experts.

How Is It Unfolding?

– AI agents process images without checking for embedded malicious code.
– Innocent-looking pictures, like celebrity wallpapers, can hide harmful payloads.
– Attackers exploit AI’s reliance on visual data to infiltrate systems.
– Cybersecurity firms are racing to develop detection methods.
– Users are urged to be cautious with unverified image sources.

Quick Breakdown

– Cyberattackers embed malware in image files.
– AI agents interpret these images, executing harmful code.
– Vulnerability exploiting AI’s strengths as a weakness.
– Potential for large-scale data breaches through visual exploits.
– Cybersecurity community calling for stricter image validation protocols.

Key Takeaways

AI agents are revolutionizing how we interact with technology, but their reliance on image processing presents a new security risk. Malicious actors can hide harmful code in any image, triggering unintended actions when processed by AI. This hidden threat means users and developers must adopt stricter security measures, such as verifying image sources and implementing robust detection tools, to protect against these invisible dangers.

Just as we scrutinize links and email attachments, we now need to view images with a similar cautious eye—innocent aesthetics can hide malicious intent.

“We’re seeing a shift in cyber threats. Attackers are getting creative, turning our fascination with visuals against us.”
– Dr. Ava Chen, Cybersecurity Researcher

Final Thought

The rise of AI agents brings immense potential but also introduces new vulnerabilities. The threat of malicious images highlights the need for enhanced security measures and user vigilance. As technology advances, so must our defenses—ensuring AI’s transformative power remains untainted by unseen cyber threats. Stay informed, stay cautious, and protect your digital world.

Source & Credit: https://www.scientificamerican.com/article/hacking-ai-agents-how-malicious-images-and-pixel-manipulation-threaten/

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GPUs

Lenovo Pairs AMD’s Ryzen 8000HX Mobile CPUs With RTX 50 Desktop GPUs In Its LOQ Tower PC, Legion Pro 7 16″ Laptop Gets Up To Ryzen 9 9955HX3D With RTX 5080

Published

19 hours ago

September 5, 2025

Don Clark

Lenovo Ignites Gaming Powerhouse Era with AMD and NVIDIA Partnership

What’s Happening?

Lenovo has launched two high-performance gaming devices equipped with cutting-edge technology. The Legion Pro 7 16″ laptop now features AMD’s latest Ryzen 9 9955HX3D processor paired with NVIDIA’s RTX 5080 GPU. Simultaneously, the LOQ Tower PC combines Ryzen 8000HX mobile CPUs with RTX 50 desktop GPUs, pushing boundaries in gaming hardware.

Where Is It Happening?

The announcement is global, targeting gamers and tech enthusiasts worldwide. The Legion Pro 7 16″ laptop and LOQ Tower PC will be available across major markets, with specific availability varying by region.

When Did It Take Place?

The announcement was made recently, positioning Lenovo as a frontrunner in the high-performance gaming hardware market. Exact release dates for the products may vary.

How Is It Unfolding?

– Lenovo’s Legion Pro 7 16″ laptop now supports up to 16GB of VRAM and advanced AI capabilities with the new combination of AMD’s Ryzen 9 9955HX3D and NVIDIA’s RTX 5080.
– The LOQ Tower PC leverages Ryzen 8000HX mobile CPUs paired with RTX 50 desktop GPUs, offering a unique hybrid configuration for gamers and content creators.
– Both devices aim to deliver top-tier performance, ideal for high-end gaming and productivity tasks.
– Lenovo’s announcement highlights its ongoing collaboration with AMD and NVIDIA to innovate in the gaming and tech space.

Quick Breakdown

– **Lenovo Legion Pro 7 16″ laptop** now features Ryzen 9 9955HX3D CPU and RTX 5080 GPU.
– **LOQ Tower PC** combines Ryzen 8000HX mobile CPUs with RTX 50 desktop GPUs.
– Both devices aim to set new benchmarks in gaming and content creation performance.
– Enhanced AI capabilities and superior graphics make them stand out in the competitive gaming market.

Key Takeaways

Lenovo’s latest offerings, the Legion Pro 7 16″ laptop and LOQ Tower PC, mark a significant leap in gaming hardware innovation. By pairing AMD’s latest mobile CPUs with NVIDIA’s cutting-edge RTX 50 GPUs, Lenovo ensures top-tier performance for gamers and professionals alike. The Ryzen 9 9955HX3D in the laptop and the hybrid configuration in the tower PC cater to diverse needs, from high-end gaming to content creation. This move solidifies Lenovo’s position as a leader in delivering advanced gaming technology.

Imagine having the power of a full-fledged gaming rig tucked into a laptop, ready for action anywhere – that’s the promise Lenovo is delivering.

This is more than just a hardware upgrade; it’s a statement about the future of portable and desktop gaming.
– gaming Expert, AMD Technologies

Final Thought

Lenovo’s new gaming devices redefine what is possible in both portable and desktop gaming. **With the Legion Pro 7 16″ laptop and LOQ Tower PC, the company has successfully combined the latest from AMD and NVIDIA to create powerhouses for gamers. This strategic move is likely to set new industry standards, providing users with unparalleled performance and flexibility.**

Source & Credit: https://wccftech.com/lenovo-pairs-amd-ryzen-8000hx-cpus-rtx-50-desktop-gpus-loq-tower-pc-legion-pro-7-16-laptop-ryzen-9-9955hx3d-rtx-5080/

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GPUs

4 reasons why I regret buying a factory-overclocked Nvidia GPU

Published

23 hours ago

September 5, 2025

Don Clark

**Why Factory Overclocked Nvidia GPUs Might Be a Bad Deal**

What’s Happening?

Gamers and PC enthusiasts are discovering that factory-overclocked Nvidia GPUs may not deliver the value they promise. Despite the hype around “OC” editions, many users report minimal performance improvements and increased power consumption, leading to buyer’s regret.

Where Is It Happening?

This issue affects the global market, particularly online retailers, tech forums, and social media platforms where discussions about GPU performance and value are prevalent.

When Did It Take Place?

The trend of factory-overclocked GPUs has been around for years, but recent retirees’ reflections and tech reviews have sparked renewed scrutiny.

How Is It Unfolding?

– Many users find that the performance gains from factory-overclocked GPUs are negligible in real-world applications.
– Increased power draw can lead to higher electricity costs and potential thermal issues.
– Aftermarket coolers on OC editions often underperform compared to Nvidia’s Founders Edition designs.
– The added cost of OC GPUs doesn’t always justify the minor boost in frame rates.

Quick Breakdown

– Factory-overclocked GPUs promise higher boost clocks but often deliver minimal real-world improvements.
– These cards tend to consume more power, leading to higher operational costs.
– Cooling solutions on OC editions may not be as effective as Nvidia’s stock designs.
– The price premium for OC GPUs is frequently questioned by buyers.

Key Takeaways

Factory-overclocked GPUs are marketed as high-performance upgrades, but many buyers find the reality underwhelming. The marginal gains in FPS often don’t justify the extra cost or the added power consumption. Moreover, the cooling solutions on these cards may not be as effective as Nvidia’s reference designs, leading to potential thermal and noise issues. For most users, a standard GPU with manual overclocking capabilities might offer better value. In the end, the hype around factory-overclocked GPUs often outweighs the tangible benefits, leaving buyers second-guessing their purchase.

Choosing an OC GPU without thorough research is like picking a dress in a size smaller, hoping it will magically fit better after dry cleaning.

Building a PC should be about balancing performance and value, not chasing marketing gimmicks. Factory overclocked GPUs often fall short of expectations.
– Alex Taylor, PC Hardware Analyst

Final Thought

Before splurging on a factory-overclocked GPU, consider whether the small performance boost is worth the added cost and potential downsides. In many cases, investing in a standard GPU and fine-tuning it yourself can provide similar or better results without the hidden trade-offs. Always prioritize value and real-world performance over hypothetical gains.

Source & Credit: https://www.xda-developers.com/why-i-regret-buying-factory-overclocked-nvidia-gpu/

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