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Revolutionary Side-Channel Attack Extracts AI Models Through Electromagnetic Emissions

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A groundbreaking security vulnerability has emerged that fundamentally challenges how we protect artificial intelligence systems. Rather than relying on traditional hacking methods, this AI model theft technique exploits electromagnetic signatures that GPUs naturally emit during computation.

Revolutionary Side-Channel Technique Threatens AI Model Theft Prevention

The ModelSpy attack represents a paradigm shift in cybersecurity threats. Developed by researchers at KAIST, this method demonstrates how attackers can reconstruct proprietary AI architectures without ever touching the target system directly.

Unlike conventional cyberattacks that require network access or software vulnerabilities, this approach transforms computation itself into an information leak. The technique captures subtle electromagnetic patterns that NVIDIA GPUs and other processors emit while processing neural network operations.

What makes this discovery particularly alarming is its effectiveness across different hardware configurations. Tests revealed that core AI structures could be identified with remarkable precision – achieving up to 97.6% accuracy in determining architectural details.

How Electromagnetic Side-Channels Enable AI Model Theft

The attack methodology centers on analyzing electromagnetic radiation patterns that correlate with specific computational operations. As neural networks process data, different layer configurations and parameter arrangements create distinct electromagnetic signatures.

These emissions carry information about the underlying model architecture, including layer depths, neuron counts, and operational patterns. By capturing and analyzing these signals, attackers can reverse-engineer proprietary AI systems that companies have invested millions to develop.

The researchers demonstrated that their compact antenna system could operate effectively from distances up to six meters away. Even more concerning, the technique worked through physical barriers like walls, making detection nearly impossible for targeted organizations.

Physical Proximity Transforms AI Model Theft Capabilities

Traditional cybersecurity assumes that air-gapped systems provide adequate protection against unauthorized access. However, this research shatters that assumption by showing how electromagnetic emissions create an entirely new attack vector.

The portable nature of the equipment means attackers could potentially conduct surveillance from adjacent buildings, parking lots, or even shared office spaces. This accessibility dramatically expands the threat landscape for organizations developing sensitive AI technologies.

Consider the implications for industries like autonomous vehicle development or medical AI systems, where model architectures represent core competitive advantages worth protecting at all costs.

Defensive Strategies Against Electromagnetic AI Model Theft

Protecting against this vulnerability requires a multi-layered approach that extends beyond traditional cybersecurity measures. Organizations must now consider the physical environment as part of their security perimeter.

The research team identified several potential countermeasures, including electromagnetic shielding and computational noise injection. These solutions involve introducing random electromagnetic patterns that mask the genuine signals produced by AI processing operations.

Additionally, randomizing computation schedules and implementing variable processing patterns can make it significantly more difficult for attackers to extract meaningful architectural information from electromagnetic emissions.

Industry Implications and Future AI Model Theft Prevention

This discovery forces a fundamental reconsideration of AI security frameworks across multiple industries. Companies must evaluate whether their current facilities provide adequate electromagnetic isolation for sensitive AI development work.

The research has gained recognition at prestigious security conferences, indicating that the cybersecurity community views this as a legitimate and pressing threat. Organizations developing proprietary AI models may need to invest in specialized facilities designed to contain electromagnetic emissions.

Looking ahead, this vulnerability highlights the growing intersection between physical and digital security domains. As AI systems become more prevalent in critical applications, protecting against sophisticated extraction techniques will require unprecedented coordination between hardware manufacturers, software developers, and security professionals.

The emergence of ModelSpy demonstrates that tomorrow’s AI threats may not involve breaking into systems at all – instead, they might simply involve listening carefully to what those systems inadvertently broadcast to the world.

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Artificial Intelligence

OpenAI’s GPT-5.5 Instant Update Makes ChatGPT More Fun to Talk To — Here’s Why That Matters

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OpenAI’s GPT-5.5 Instant Update Makes ChatGPT More Fun to Talk To — Here’s Why That Matters

For years, the AI race has been defined by benchmark scores, reasoning tests, and coding prowess. But OpenAI is now shifting gears. The latest GPT-5.5 Instant update focuses on something far more human: making conversations with ChatGPT feel natural, engaging, and genuinely enjoyable. This isn’t just a tweak under the hood — it’s a strategic pivot toward user experience over raw intelligence.

What’s New in the GPT-5.5 Instant Update?

OpenAI has rolled out a significant refresh to GPT-5.5 Instant, the default model powering hundreds of millions of ChatGPT users. According to the company’s release notes, the update zeroes in on conversational quality. Instead of spitting out generic responses, the model now aims to grasp the intent behind a user’s question and adapt its tone and depth accordingly.

Whether you’re asking for advice, researching options, planning a trip, or shopping for a product, GPT-5.5 Instant is designed to respond in a way that feels tailored to your needs. The company claims the model handles complex constraints more reliably and makes interactions feel less robotic. In short, it’s built to be more fun to talk to.

As OpenAI stated in its announcement: “We have a new version of GPT-5.5 Instant for you, and it’s much more fun to talk to.” That’s a bold claim — and one that signals a departure from the usual focus on factual accuracy and speed.

Why Better Conversational Quality Matters More Than Benchmarks

Let’s be honest: most people don’t use ChatGPT to solve advanced calculus problems or write code. They use it for everyday tasks — planning a weekend getaway, deciding which laptop to buy, or venting about a tough day. In these scenarios, conversational flow and emotional intelligence often matter more than raw processing power.

This GPT-5.5 Instant update prioritises understanding user intent. Instead of jumping straight into a generic answer, the model now tries to figure out whether you want practical recommendations, emotional support, detailed analysis, or just a quick fact. This shift makes ChatGPT feel less like a search engine and more like a thoughtful assistant.

Earlier updates to GPT-5.5 Instant focused on reducing hallucinations and improving factual accuracy. While those are important, the latest revision doubles down on the human side of the experience. The result? Conversations that feel more natural, relatable, and engaging.

How the Update Changes Everyday Interactions

Imagine you’re shopping for a new pair of running shoes. In the past, ChatGPT might have listed generic features like cushioning and durability. Now, with the new update, it might ask about your running style, preferred terrain, and budget before offering tailored suggestions. That’s a big difference.

Similarly, if you’re seeking advice on a career change, the model can adapt its tone — offering empathetic support one moment and practical steps the next. This flexibility is what makes the GPT-5.5 Instant update stand out. It’s not just about being smarter; it’s about being more attuned to what you actually need.

For businesses and content creators, this means more natural customer interactions and better user engagement. ChatGPT for customer service could see a significant boost in satisfaction rates as the model learns to read between the lines of user queries.

What This Means for the Future of AI Assistants

OpenAI’s latest move suggests a broader trend: the future of AI won’t be won by the smartest model on paper, but by the one people enjoy talking to the most. By making GPT-5.5 Instant more intuitive and personable, the company is betting that user experience will drive adoption and loyalty.

This update also highlights the growing importance of emotional intelligence in AI. As AI emotional intelligence trends continue to evolve, models that can genuinely understand and respond to human emotions will become indispensable.

Interestingly, this shift might resonate more with everyday users than any benchmark victory ever could. After all, what good is a super-smart assistant if it feels cold and impersonal? The GPT-5.5 Instant update aims to bridge that gap, making ChatGPT not just a tool, but a companion.

Final Thoughts: A Smarter, Friendlier ChatGPT

OpenAI has taken a calculated risk by prioritising conversational quality over benchmark scores. But early reactions suggest it’s paying off. Users are reporting more satisfying interactions, and the model’s ability to handle complex, multi-turn conversations has noticeably improved.

As AI continues to integrate into our daily lives, the ability to communicate naturally will become a key differentiator. The GPT-5.5 Instant update is a clear step in that direction. If you haven’t tried it yet, now might be the perfect time to see what a truly conversational AI feels like.

For more insights on how AI is reshaping communication, check out our guide on top AI communication tools in 2026.

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Google’s Gemini in Chrome Can Now See Exactly What You’re Looking At on Screen

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Google’s Gemini in Chrome Can Now See Exactly What You’re Looking At on Screen

Google has quietly rolled out a new capability for its AI assistant, Gemini, inside the Chrome browser. The feature, called “Select from screen,” allows users to highlight specific text or images from a webpage and send them directly to Gemini for contextual help. This marks a significant shift in how users interact with AI while browsing—moving from typing vague queries to pointing at exactly what they need assistance with.

Instead of manually describing a complex chart, a product description, or a confusing paragraph, users can now simply select the content on screen and let Gemini analyze it. The feature appears in Chrome’s “+” menu, functioning like an integrated screenshot tool that captures only the selected area.

How the Gemini Select from Screen Feature Works

Once activated, the tool overlays a selection interface on the current browser tab. Users can draw a box around any visible text or image, which is then automatically attached to a new conversation with Gemini. This eliminates the friction of copying, pasting, or describing content—making the AI assistant feel more like an extension of the browser itself.

For example, if you’re reading a research paper and need a quick summary of a dense paragraph, you can highlight it and ask Gemini to explain it. Similarly, if you see an image you want identified or a product you want compared, the AI can work with the exact visual or textual data you’ve selected.

This update is part of Chrome 149, though some users may need to restart their browser before the feature appears. Google has designed the tool to work with any webpage, whether it’s a news article, an e-commerce site, or a social media post.

Why This Matters for AI-Powered Browsing

The “Select from screen” feature is more than a convenience—it’s a fundamental change in how users interact with AI assistants. By giving Gemini direct access to what’s on screen, Google is moving beyond the traditional chatbot model toward an assistant that understands context and intent.

In the past, users had to describe what they were seeing, often leading to misunderstandings or incomplete answers. Now, Gemini can see exactly what you’re looking at, reducing ambiguity and making responses more accurate. This is especially useful for tasks like troubleshooting errors, comparing products, or extracting data from complex layouts.

Building on this, the feature also encourages more natural interactions. Instead of typing “What does this chart show?” you can simply select the chart and ask. The AI automatically knows what you’re referring to, making the conversation feel more fluid and intuitive.

Google’s Broader Vision for Computer Use

Interestingly, Google announced another major upgrade on the same day. Developers can now access computer use capabilities directly through Gemini 3.5 Flash, allowing AI agents to see, reason, and take actions across browsers, mobile apps, and desktop environments without relying on a separate model. This integration improves long-horizon tasks such as software testing, enterprise workflows, and multi-step automation jobs.

While the “Select from screen” feature is consumer-facing, it aligns with Google’s broader strategy: making AI aware of what users are actively doing. The company is positioning Gemini as an assistant that doesn’t just answer questions but helps complete tasks. As a result, the line between a chatbot and a productivity tool continues to blur.

What This Means for Everyday Users

For the average Chrome user, this update removes a common pain point. Have you ever struggled to describe a specific error message or a design element to an AI assistant? With the new feature, you can simply select it and let Gemini handle the rest.

Moreover, the tool works with both text and images, opening up possibilities for visual search, document analysis, and even creative tasks like generating captions or descriptions. It’s a small but powerful addition that makes browsing more efficient.

However, users should be aware that the feature requires an active internet connection and a Google account. It’s also worth noting that Google may use selected content to improve its AI models, so privacy-conscious users should exercise caution with sensitive information.

Final Thoughts on Gemini’s Screen Awareness

Google’s “Select from screen” feature is a clear answer to the growing demand for AI that understands what users are looking at. By reducing friction and improving context, it makes Gemini a more practical tool for daily browsing.

As AI assistants become more integrated into our digital lives, features like this will likely become standard. For now, Chrome users can enjoy a smarter, more intuitive way to interact with web content—just by pointing and clicking.

For more tips on using AI tools effectively, check out our guide on how to use Gemini in Chrome. And if you’re interested in other browser-based AI features, read about Chrome’s latest AI updates.

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Tecno’s EllaClaw AI Agent: The Smart Assistant That Cleans Your Phone and Runs Your Errands

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Tecno’s EllaClaw AI Agent: The Smart Assistant That Cleans Your Phone and Runs Your Errands

Most AI assistants are content to chat with you, but they rarely take action. Tecno aims to change that with EllaClaw, its beta-stage mobile AI agent that performs real tasks on your device instead of just answering questions. The company recently showcased the next version of EllaClaw, which now reaches deeper into your phone and your favorite apps.

What Makes the Tecno EllaClaw AI Agent Different?

Instead of being a passive conversationalist, EllaClaw acts as an active caretaker. It packs over 40 Smart Skills that let it optimize your device. You can ask it to free up RAM and CPU to fix lag, identify apps draining your battery, or cool down your phone when it overheats during heavy use.

As a result, your phone runs smoother and stays cooler. The agent also includes a Smart Data Guardian that monitors your mobile data usage—a thoughtful feature for anyone tired of running out before the month ends. Before making any major changes, EllaClaw checks in with you first, ensuring nothing happens behind your back.

How EllaClaw Learns Your Habits and Runs Errands

Building on its optimization skills, the Tecno EllaClaw AI agent learns your habits over time and uses that information to assist with daily routines. You can ask it to deliver morning briefings that pull in your calendar, weather, and news. It can also act as a trip assistant that books rides and sets departure alarms.

Furthermore, EllaClaw works across different apps, including shopping, food delivery, transportation, and smart home services. Instead of operating like a mysterious black box, it navigates your apps in a visible, human-like way, so you can watch each step. This transparency builds trust and gives you control.

Real-World Task Automation

For instance, you might tell EllaClaw to order your usual coffee from a delivery app while it simultaneously checks your calendar for free time. It can then set a reminder and notify you when the order arrives. This level of cross-app coordination is rare among current AI assistants.

Transparency and User Control at the Core

For now, EllaClaw remains an exploratory concept in closed beta. As Jack Guo, General Manager of Tecno, explained, the goal is to help “simplify everyday tasks, reduce friction and make advanced experiences more accessible, while ensuring transparency and user control remain central.”

This means that every action the agent takes is visible and reversible. You never lose authority over your device. In an era where AI often feels like a black box, this approach stands out.

To learn more about optimizing your phone, check out our guide on how to clean your Android phone. If you’re curious about other AI innovations, read about the best AI assistants of 2025.

What’s Next for the Tecno EllaClaw AI Agent?

Tecno says more details will come as development moves forward. EllaClaw is one of the few smartphone AI agents that actually seems to help users instead of aggravating them. It would be exciting to see it exit beta so that real-world performance can be tested.

However, the company hasn’t announced a public release date yet. Until then, users can only watch from the sidelines. But if EllaClaw delivers on its promises, it could redefine what we expect from mobile AI.

For more on Tecno’s ecosystem, see our review of the Tecno Camon 20 Pro.

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