News from the AI & ML world
DeeperML - #google
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Nicole Kobie@itpro.com
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The FBI has issued a warning regarding a major fraud campaign where cybercriminals are using AI-generated audio deepfakes and text messages to impersonate senior U.S. government officials. This scheme, which has been active since April 2025, targets current and former federal and state officials, along with their contacts, aiming to gain access to their personal accounts. The attackers are employing tactics known as smishing (SMS phishing) and vishing (voice phishing) to establish rapport before attempting to compromise accounts, potentially leading to the theft of sensitive information or funds.
The FBI advises that if individuals receive a message claiming to be from a senior U.S. official, they should not assume it is authentic. The agency suggests verifying the communication through official channels, such as calling back using the official number of the relevant department, rather than the number provided in the suspicious message. Additionally, recipients should be wary of unusual verbal tics or word choices that could indicate a deepfake in operation. This warning comes amidst a surge in social engineering attacks leveraging AI-based voice cloning. A recent report indicated a 442% increase in the use of AI voice cloning between the first and second halves of 2024. Experts caution that the stolen credentials or information obtained through these schemes could be used to further impersonate officials, spread disinformation, or commit financial fraud, highlighting the increasing sophistication and potential damage of AI-enhanced fraud. Recommended read:
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@www.theapplepost.com
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Ken Yeung
, Shelly Palmer
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Google is expanding its use of Gemini AI to revolutionize advertising on YouTube with a new product called "Peak Points," announced at the YouTube Brandcast event in New York. This AI-powered feature analyzes videos to pinpoint moments of maximum viewer engagement, strategically inserting ads at these "peak points." The goal is to improve ad performance by targeting viewers when they are most emotionally invested or attentive, potentially leading to better ad recall and effectiveness for marketers.
This new approach to ad placement signifies a shift from traditional contextual targeting, where ads are placed based on general video metadata or viewer history. Gemini AI provides a more granular analysis, identifying specific timestamps within a video where engagement spikes. This allows YouTube to not only understand what viewers are watching but also how they are watching it, gathering real-time attention data. This data has far-reaching implications, potentially influencing algorithmic recommendations, content development, talent discovery, and platform control. For content creators, Peak Points fundamentally changes monetization strategies. The traditional mid-roll ad insertion at default intervals will be replaced by Gemini's assessment of content's engagement level. Creators will now be incentivized to create content that not only retains viewers but also generates attention spikes at specific moments. Marketers, on the other hand, are shifting from buying against content to buying against engagement, necessitating a reevaluation of brand safety, storytelling, and overall campaign outcomes in this new attention-based economy. Recommended read:
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Scott Webster@AndroidGuys
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Google is aggressively expanding the reach of its Gemini AI model, aiming to integrate it into a wide array of devices beyond smartphones. The tech giant plans to bring Gemini to Wear OS smartwatches, Android Auto in vehicles, Google TV for televisions, and even XR headsets developed in collaboration with Samsung. This move seeks to provide users with AI assistance in various contexts, from managing tasks while cooking or exercising with a smartwatch to planning routes and summarizing information while driving using Android Auto. Gemini's integration into Google TV aims to offer educational content and answer questions, while its presence in XR headsets promises immersive trip planning experiences.
YouTube is also leveraging Gemini AI to revolutionize its advertising strategy with the introduction of "Peak Points," a new ad format designed to identify moments of high user engagement in videos. Gemini analyzes videos to pinpoint these peak moments, strategically placing ads immediately afterward to capture viewers' attention when they are most invested. While this approach aims to benefit advertisers by improving ad retention, it has raised concerns about potentially disrupting the viewing experience and irritating users by interrupting engaging content. An alternative ad format called Shoppable CTV, which allows users to browse and purchase items during an ad, is considered a more palatable option. To further fuel AI innovation, Google has launched the AI Futures Fund. This program is designed to support early-stage AI startups with equity investment and hands-on technical support. The AI Futures Fund provides startups with access to advanced Google DeepMind models like Gemini, Imagen, and Veo, as well as direct collaboration with Google experts from DeepMind and Google Lab. Startups also receive Google Cloud credits and dedicated technical resources to help them build and scale efficiently. The fund aims to empower startups to "move faster, test bolder ideas," and bring ambitious AI products to life, fostering innovation in the field. Recommended read:
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@Google DeepMind Blog
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Google DeepMind has unveiled AlphaEvolve, an AI agent powered by Gemini, that is revolutionizing algorithm discovery and scientific optimization. This innovative system combines the creative problem-solving capabilities of large language models (LLMs) with automated evaluators to verify solutions and iteratively improve upon promising ideas. AlphaEvolve represents a significant leap in AI's ability to develop sophisticated algorithms for both scientific challenges and everyday computing problems, expanding upon previous work by evolving entire codebases rather than single functions.
AlphaEvolve has already demonstrated its potential by breaking a 56-year-old mathematical record, discovering a more efficient matrix multiplication algorithm that had eluded human mathematicians. The system leverages an ensemble of state-of-the-art large language models, including Gemini Flash and Gemini Pro, to propose and refine algorithmic solutions as code. These programs are then evaluated using automated metrics, providing an objective assessment of accuracy and quality. This approach makes AlphaEvolve particularly valuable in domains where progress can be clearly and systematically measured, such as math and computer science. The impact of AlphaEvolve extends beyond theoretical breakthroughs, with algorithms discovered by the system already deployed across Google's computing ecosystem. Notably, AlphaEvolve has enhanced the efficiency of Google's data centers, chip design, and AI training processes, including the training of the large language models underlying AlphaEvolve itself. It has also optimized a matrix multiplication kernel used to train Gemini models and found new solutions to open mathematical problems. By optimizing Google’s massive cluster management system, Borg, AlphaEvolve recovers an average of 0.7% of Google’s worldwide computing resources continuously, which translates to substantial cost savings. Recommended read:
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Jibin Joseph@PCMag Middle East ai
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Google is experimenting with replacing its iconic "I'm Feeling Lucky" button with a new "AI Mode" tool. This represents a significant shift in how the search engine operates, moving away from providing a direct link to the first search result and towards offering AI-powered answers directly within the Google search interface. The "I'm Feeling Lucky" button, which has been a staple of Google's homepage since 1998, bypasses the search results page entirely, taking users directly to what Google deems the most relevant website. However, Google believes that most users now prefer browsing a range of links rather than immediately jumping to a single site.
The new AI Mode aims to provide a more interactive and informative search experience. When users ask questions, the AI Mode tool leverages Google's AI chatbot to generate detailed responses instead of simply presenting a list of links. For example, if a user asks "Where can I purchase a camping chair under $100?", AI Mode may display images, prices, and store links directly within the search results. Users can then engage in follow-up questions with the AI, such as "Is it waterproof?", receiving further details and recommendations. The AI also uses real-time information to display store hours, product availability, and other relevant data. Testing of the AI Mode button is currently limited to a small percentage of users in the U.S. who are part of Google's Search Labs program. Google is exploring different placements for the button, including inside the search bar next to the camera icon, or replacing the "I'm Feeling Lucky" button entirely. Some users have also reported seeing a rainbow-colored glow around the button when they hover over it. While this move aims to align with modern search habits, some users have expressed concern over the potential loss of the nostalgic "I'm Feeling Lucky" feature, and are also concerned about the accuracy of Google's AI Mode. Recommended read:
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Scott Webster@AndroidGuys
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Google is expanding its Gemini AI assistant to a wider range of Android devices, moving beyond smartphones to include smartwatches, cars, TVs, and headsets. The tech giant aims to seamlessly integrate AI into users' daily routines, making it more accessible and convenient. This expansion promises a more user-friendly and productive experience across various aspects of daily life. The move aligns with Google's broader strategy to make AI ubiquitous, enhancing usability through conversational and hands-free features.
This integration, referred to as "Gemini Everywhere," seeks to enhance usability and productivity by making AI features more conversational and hands-free. For in-car experiences, Google is bringing Gemini AI to Android Auto and Google Built-in vehicles, promising smarter in-car experiences and hands-free task management for safer driving. Gemini's capabilities should allow for simpler task management and more personalized results across all these new platforms. The rollout of Gemini on these devices is expected later in 2025, first on Android Auto, then Google Built-in vehicles, and Google TV, although the specific models slated for updates remain unclear. Gemini on Wear OS and Android Auto will require a data connection, while Google Built-in vehicles will have limited offline support. The ultimate goal is to offer seamless AI assistance across multiple device types, enhancing both convenience and productivity for Android users. Recommended read:
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S.Dyema Zandria@The Tech Basic
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Google has launched the AI Futures Fund, a new initiative designed to support the next wave of AI startups. This fund will invest in companies leveraging Google DeepMind's AI tools, providing them with financial backing and early access to Google's most advanced AI technology. The program aims to foster innovation by giving startups a competitive edge in the rapidly evolving AI landscape.
The AI Futures Fund offers multiple layers of support, including early access to Google's newest AI models from DeepMind, allowing startups to create videos, translate languages, and design images faster. Participating startups will also benefit from direct collaboration with Google experts from DeepMind and Google Labs, who will provide guidance on product improvement. Additionally, startups will receive Google Cloud credits to help cut down on computing costs and allow them to run their AI projects without high expenses. Some startups may also receive direct cash investments from Google to grow their business. Google’s strategic move aims to build a strong ecosystem around its AI models. By supporting startups that use its technology, Google intends to establish its AI models as industry standards. Two startups have already benefited from the fund such as Toonsutra, a comic app from India, translates stories into 22 languages using Google’s tools, and Viggle, a meme-making app, uses Google’s AI to turn photos into funny videos. Furthermore, Google announced a three-month accelerator program for AI-focused startups in India. This dual initiative underscores Google’s commitment to fostering AI innovation and expanding its AI ecosystem, both globally and in key markets like India. Recommended read:
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@felloai.com
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felloai.com
, www.techradar.com
Google is making significant strides in integrating artificial intelligence into healthcare, security, and user experience applications. One of the most groundbreaking developments is AMIE (Articulate Medical Intelligence Explorer), an AI model designed to revolutionize medical diagnostics. AMIE is capable of interpreting medical images, such as X-rays, MRIs, and CT scans, allowing it to engage in diagnostic conversations. This new multimodal AMIE addresses a significant gap in previous iterations by enabling the AI to understand visual medical information, potentially surpassing human capabilities in certain diagnostic areas.
Chrome 137 will feature an additional layer of protection against tech support scams using the on-device Gemini Nano large language model (LLM). This feature will leverage the LLM to generate signals that will be used by Safe Browsing in order to deliver higher confidence verdicts about potentially dangerous sites like tech support scams. The on-device approach allows Chrome to detect and block attacks that haven't been crawled before and see threats the way users see them. When a user navigates to a potentially dangerous page, specific triggers that are characteristic of tech support scams will cause Chrome to evaluate the page using the on-device Gemini Nano LLM. Google is also debuting an AI-powered image-to-video tool on Honor smartphones. This tool, called AI Image to Video, can generate 5-second videos from pictures with a single tap, adding action to still images. For example, it can make a person in a photo smile or blink, or simulate flowing water in a picture of a river. This feature is part of the Honor 400 phone's Gallery app and does not require any extra downloads. Google will not use your pictures to train its AI. Recommended read:
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@felloai.com
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felloai.com
, TestingCatalog
Google is significantly expanding its applications of artificial intelligence in healthcare and education, aiming to improve efficiency and accessibility. In healthcare, Google's AMIE (Articulate Medical Intelligence Explorer) AI can now interpret medical images such as X-rays, MRIs, and CT scans, marking a potential breakthrough in AI-powered medical diagnostics. The multimodal AMIE can intelligently request, interpret, and reason about visual medical information during diagnostic conversations, suggesting a future where AI could surpass human capabilities in certain diagnostic areas. This development addresses a previous limitation where AI couldn't directly process and understand medical imaging, a crucial aspect of diagnosis.
Google is also redefining education with AI tools. Infinity Learn, in collaboration with Google Cloud Consulting, has developed an AI tutor to assist students preparing for exams. This AI tutor, powered by Google Cloud’s Vertex AI Retrieval Augmented Generation (RAG) services and a Gemini 2.0 Flash model, acts as a custom search engine, providing detailed guidance for solving problems in subjects like math, physics, and chemistry. The AI tutor is designed not just to provide answers, but to foster in-depth knowledge and conceptual clarity, helping students independently find solutions and understand the reasoning behind them. Additionally, Google is developing new generative media features for NotebookLM, including video overviews. Users may soon be able to transform their notebook content into short video summaries, potentially powered by Google’s Veo 2 model, which specializes in generating concise video segments. NotebookLM is also hinting at a broader content discovery direction through a newly revealed section titled "Editor’s Picks," suggesting a shift towards a more social or community-driven aspect, potentially turning NotebookLM into a knowledge-sharing platform. Recommended read:
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Andrew Hutchinson@socialmediatoday.com
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felloai.com
, www.socialmediatoday.com
Google is aggressively expanding its AI capabilities across various platforms, aiming to enhance user experiences and maintain a competitive edge. One significant advancement is the launch of an AI-based system for generating 3D assets for shopping listings. This new technology simplifies the creation of high-quality, shoppable 3D product visualizations from as few as three product images, leveraging Google's Veo AI model to infer movement and infill frames, resulting in more responsive and logical depictions of 3D objects. This enhancement allows brands to include interactive 3D models of their products in Google Shopping displays, creating a more engaging online shopping experience and potentially feeding into VR models for virtual worlds depicting real objects.
Google is also leveraging AI to combat tech support scams in its Chrome browser. The new feature, launched with Chrome 137, utilizes the on-device Gemini Nano large language model (LLM) to detect and block potentially dangerous sites. When a user navigates to a suspicious page exhibiting characteristics of tech support scams, Chrome evaluates the page using the LLM to extract security signals, such as the intent of the page, and sends this information to Safe Browsing for a final verdict. This on-device approach allows for the detection of threats as they appear to users, even on malicious sites that exist for less than 10 minutes, providing an additional layer of protection against cybercrime. Furthermore, Google is exploring the potential of AI in healthcare with advancements to its Articulate Medical Intelligence Explorer (AMIE). The multimodal AMIE can now interpret visual medical information such as X-rays, CT scans, and MRIs, engaging in diagnostic conversations with remarkable accuracy. This breakthrough enables AMIE to request, interpret, and reason about visual medical data, potentially surpassing human capabilities in certain diagnostic areas. The AI can now look at a scan, discuss its findings, ask clarifying questions, and integrate that visual data into its overall diagnostic reasoning. This development suggests a future where AI could play a more active and insightful role in diagnosing diseases, revolutionizing healthcare as we know it. Recommended read:
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@cloud.google.com
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security.googleblog.com
, Compute
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Google is enhancing its Chrome security measures by integrating the on-device Gemini Nano large language model (LLM) to combat tech support scams. This new feature, launched with Chrome 137, adds an extra layer of protection by leveraging the LLM to generate signals that Safe Browsing can use to deliver more accurate verdicts on potentially dangerous sites. The on-device approach allows Chrome to detect and block attacks in real-time, even those from malicious sites that exist for less than 10 minutes. This method also considers how sites present themselves to individual users, enhancing the ability to assess the web for illegitimate purposes and potential threats.
AI Hypercomputer at Google Cloud is receiving several enhancements to accelerate AI inference workloads. These updates include the unveiling of Ironwood, Google's newest Tensor Processing Unit (TPU) designed specifically for inference, along with software improvements like simple and performant inference using vLLM on TPU and the latest GKE inference capabilities. With optimized software and powerful benchmarks, AI Hypercomputer aims to maximize performance and reduce inference costs, further enhancing JetStream and bringing vLLM support for TPU. JetStream, Google's open-source inference engine, has demonstrated significantly improved throughput performance for models like Llama 2 70B and Mixtral 8x7B. Google is also investing in advanced nuclear power to fuel its AI and data center growth, emphasizing its commitment to sustainability and addressing the increasing energy demands of AI. Partnering with Elementl Power, Google plans to build three nuclear power plants, each generating at least 600 megawatts of clean electricity. These plants will utilize small modular reactors (SMRs), which are smaller, cheaper, and faster to build than traditional nuclear reactors, aligning with Google's goal to be pollution-free by 2030 and ensuring a constant, carbon emission-free energy source for its energy-intensive operations. Recommended read:
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@cloud.google.com
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Google Cloud is enhancing its AI Hypercomputer to accelerate AI inference workloads, focusing on maximizing performance and reducing costs for generative AI applications. At Google Cloud Next 25, updates to AI Hypercomputer's inference capabilities were shared, showcasing Google's newest Tensor Processing Unit (TPU) called Ironwood, designed for inference. Software enhancements include simple and performant inference using vLLM on TPU and the latest GKE inference capabilities such as GKE Inference Gateway and GKE Inference Quickstart. Google is paving the way for the next phase of AI's rapid evolution with the AI Hypercomputer.
Google's JetStream inference engine incorporates new performance optimizations, integrating Pathways for ultra-low latency multi-host, disaggregated serving. The sixth-generation Trillium TPU exceeds throughput performance by 2.9x for Llama 2 70B and 2.8x for Mixtral 8x7B compared to TPU v5e. Google’s JAX inference engine maximizes performance and reduces inference costs by offering more choice when serving LLMs on TPU. JetStream throughput is improved, achieving 1703 token/s on Llama 3.1 405B on Trillium. Google is also intensifying its efforts to combat online scams by integrating artificial intelligence across Search, Chrome, and Android. AI is central to Google's anti-scam strategy, blocking hundreds of millions of scam results daily and identifying more fraudulent pages. Gemini Nano provides instant detection of high-risk websites, helping counter new and evolving scams across platforms. Google has long used AI to detect and block scams, including fake tech support, fraudulent financial services, and phishing links. Recent updates to AI classifiers now allow the company to detect 20 times more scam pages, improving the quality of search results by reducing exposure to harmful sites. Recommended read:
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@learn.aisingapore.org
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Google has released an updated version of its Gemini AI model, Gemini 2.5 Pro Preview (I/O edition), with significantly improved coding capabilities. This update is specifically focused on enhancing the model's ability to build compelling interactive web applications. The company decided to release the update ahead of its annual I/O conference due to the overwhelming enthusiasm surrounding the model. This advancement builds upon the positive feedback received for Gemini 2.5 Pro's existing coding and multimodal reasoning capabilities.
These improvements extend beyond just UI-focused development, encompassing tasks such as code transformation, code editing, and the development of complex agentic workflows. Google claims that this model update tops the WebDev Arena Leaderboard, which measures an AI model's ability to create aesthetically pleasing and functional apps. Developers can now begin using the updated Gemini 2.5 Pro in the Gemini API via Google Studio to start building. This also applies to the Gemini app, enabling the use of features like Canvas, where users can vibe code and create interactive apps. The update also brings improvements to Google's broader AI defenses against online scams. By integrating AI across Search, Chrome, and Android, Google aims to make it more difficult for cybercriminals to perpetrate fraud. The addition of Gemini Nano allows for instant detection of high-risk websites, helping the company counter new and evolving scams. Google has long used AI to detect and block scams, and recent updates to AI classifiers now allow the company to detect 20 times more scam pages. Recommended read:
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@the-decoder.com
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Google has announced implicit caching in Gemini 2.5, a new feature designed to significantly reduce developer costs. The company aims to cut costs by as much as 75 percent by automatically applying a 75% cached token discount. This is a substantial improvement over previous methods, where developers had to manually configure caching. The new implicit caching automatically detects and stores recurring content, ensuring that repeated prompts are only processed once, which can lead to substantial cost savings.
The new feature is particularly beneficial for applications that run prompts against the same long context or continue existing conversations. Google recommends placing the stable part of a prompt, such as system instructions, at the start and adding user-specific input, like questions, afterwards to maximize benefits. Implicit caching kicks in for Gemini 2.5 Flash starting at 1,024 tokens, and for Pro versions from 2,048 tokens onwards. This functionality is now live, and developers can find more details and best practices in the Gemini API documentation. This development builds on the overwhelmingly positive feedback to Gemini 2.5 Pro’s coding and multimodal reasoning capabilities. Beyond UI-focused development, these improvements extend to other coding tasks such as code transformation, code editing and developing complex agentic workflows. Simon Willison notes that Gemini 2.5 now applies the 75% cached token discount automatically, which he considers a potentially big cost saving for applications that run prompts against the same long context or continue existing conversations. Recommended read:
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info@thehackernews.com (The@The Hacker News
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Google is ramping up its fight against online scams by implementing artificial intelligence across multiple platforms including Search, Chrome, and Android. The company aims to make fraudulent activities significantly more difficult for cybercriminals. This initiative builds upon Google's existing AI-driven defenses, blocking hundreds of millions of scam results daily and identifying more fraudulent pages than ever before. The integration of Gemini Nano allows for instant detection of high-risk websites, adapting to new and evolving threats in real time and providing an additional layer of defense against online scams.
AI has long been used by Google to detect and block scams such as fake tech support, fraudulent financial services, and phishing links. Recent updates to AI classifiers have enabled the company to detect twenty times more scam pages, substantially improving the quality of search results by reducing user exposure to harmful sites. A specific example highlighted Google's success in curtailing scams targeting airline customer service queries. Dedicated AI protections led to a reduction of scam-related attacks by over 80%. Similar measures in 2024 decreased scams impersonating official sites like visa or government service pages by more than 70%. Beyond Google Search, the company is expanding its AI defenses to protect users on Chrome, Android, and other communication channels. Chrome's Enhanced Protection mode now utilizes Gemini Nano, a lightweight on-device AI model, to instantly identify scams, even those unseen before. This technology will soon expand to Android devices. Furthermore, Chrome on Android now uses AI warnings to flag suspicious or misleading website notifications, allowing users to unsubscribe or review denied content to avoid scams. AI is also being deployed in messaging and phone call protection to block sophisticated scams in calls and texts. Recommended read:
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info@thehackernews.com (The@The Hacker News
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Google is significantly ramping up its efforts to combat online scams through the integration of advanced AI technologies across various platforms, including Search, Chrome, and Android. The company's intensified focus aims to safeguard users from the increasing sophistication of cybercriminals, who are constantly evolving their tactics. Google's strategy centers around deploying AI-powered defenses to detect and block fraudulent activities in real-time, providing a more secure online experience.
AI is now central to Google's anti-scam strategy, with the company reporting a substantial increase in its ability to identify and block harmful content. Recent updates to AI classifiers have enabled Google to detect 20 times more scam pages than before, leading to a significant improvement in the quality of search results. Notably, the AI systems have proven effective in targeting specific scam types, such as those impersonating airline customer service providers, where dedicated protections have reduced related attacks by over 80%. The Gemini Nano LLM will soon expand to Android devices as well. Beyond Search, Google is extending its AI-driven security measures to Chrome and Android to provide comprehensive protection across multiple surfaces. Chrome's Enhanced Protection mode now utilizes Gemini Nano, an on-device AI model, to instantly identify scams, even those previously unseen. Android devices will also benefit from AI warnings that flag suspicious website notifications and scam detection in Google Messages and Phone, bolstering defenses against deceptive calls and texts. This multi-layered approach demonstrates Google's commitment to staying ahead of scammers and ensuring a safer digital environment for its users. Recommended read:
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info@thehackernews.com (The@The Hacker News
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Google is ramping up its AI integration across various platforms to enhance user security and accessibility. The tech giant is deploying AI models in Chrome to detect and block online scams, protecting users from fraudulent websites and suspicious notifications. These AI-powered systems are already proving effective in Google Search, blocking hundreds of millions of scam results daily and significantly reducing fake airline support pages by over 80 percent. Google is also using AI in a new iOS feature called Simplify, which leverages Gemini's large language models to translate dense technical jargon into plain, readable language, making complex information more accessible.
Google's Gemini is also seeing updates in other areas, including new features for simplification and potentially expanded access for younger users. The Simplify feature, accessible via the Google App on iOS, aims to break down technical jargon found in legal contracts or medical reports. Google conducted a study showing improved comprehension among users who read Simplify-processed text, however, the study's limitations highlight the challenges in accurately gauging the full impact of AI-driven simplification. Google's plan to make Gemini available to users under 13 has also sparked concerns among parents and child safety experts, prompting Google to implement parental controls through Family Link and assure that children's activity won't be used to train its AI models. However, the integration of AI has also presented unforeseen challenges. A recent update to Gemini has inadvertently broken content filters, affecting apps that rely on lowered guardrails, particularly those providing support for trauma survivors. This update has blocked incident reports related to sensitive topics, raising concerns about the limitations and potential biases of AI-driven content moderation. This issue has led to some users, particularly developers who work with apps assisting trauma survivors, to have apps rendered useless due to the changes. Recommended read:
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info@thehackernews.com (The@The Hacker News
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Google Chrome is set to integrate on-device AI, leveraging the 'Gemini Nano' large-language model (LLM), to proactively detect and block tech support scams while users browse the web. This new security feature aims to combat malicious websites that deceive users into believing their computers are infected with viruses or have other technical issues. These scams often manifest as full-screen browser windows or persistent pop-ups, designed to make them difficult to close, with the ultimate goal of tricking victims into calling a bogus support number.
Google is addressing the evolving tactics of scammers, who are known to adapt quickly to exploit unsuspecting users. These deceptive practices include expanding pop-ups to full-screen, disabling mouse input to create a sense of urgency, and even playing alarming audio messages to convince users that their computers are locked down. The 'Gemini Nano' model, previously used on Pixel phones, will analyze web pages for suspicious activity, such as the misuse of keyboard lock APIs, to identify potential tech support scams in real-time. This on-device processing is crucial as many malicious sites have a very short lifespan. When Chrome navigates to a potentially harmful website, the Gemini Nano model will activate and scrutinize the page's intent. The collected data is then sent to Google’s Safe Browsing service for a final assessment, determining whether to display a warning to the user. To alleviate privacy and performance concerns, Google has implemented measures to ensure the LLM is used sparingly, runs locally, and manages resource consumption effectively. Users who have opted-in to the Enhanced Protection setting will have the security signals sent to Google's Safe Browsing service. Recommended read:
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info@thehackernews.com (The@The Hacker News
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Google is integrating its Gemini Nano AI model into the Chrome browser to provide real-time scam protection for users. This enhancement focuses on identifying and blocking malicious websites and activities as they occur, addressing the challenge posed by scam sites that often exist for only a short period. The integration of Gemini Nano into Chrome's Enhanced Protection mode, available since 2020, allows for the analysis of website content to detect subtle signs of scams, such as misleading pop-ups or deceptive tactics.
When a user visits a potentially dangerous page, Chrome uses Gemini Nano to evaluate security signals and determine the intent of the site. This information is then sent to Safe Browsing for a final assessment. If the page is deemed likely to be a scam, Chrome will display a warning to the user, providing options to unsubscribe from notifications or view the blocked content while also allowing users to override the warning if they believe it's unnecessary. This system is designed to adapt to evolving scam tactics, offering a proactive defense against both known and newly emerging threats. The AI-powered scam detection system has already demonstrated its effectiveness, reportedly catching 20 times more scam-related pages than previous methods. Google also plans to extend this feature to Chrome on Android devices later this year, further expanding protection to mobile users. This initiative follows criticism regarding Gmail phishing scams that mimic law enforcement, highlighting Google's commitment to improving online security across its platforms and safeguarding users from fraudulent activities. Recommended read:
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