Lately I’ve been playing a new job sim game, Crime Scene Cleaner, while also watching BBC’s comedy series The Cleaner, both of which focus on the aftermath of gruesome murders – sometimes you just need some cosy viewing to take the edge off the day. In the TV show, Greg Davies plays Wicky, the acerbic employee of a government-endorsed clean-up company, while Crime Scene Cleaner’s lead character Kovalsky is a lowly janitor, mopping up blood and disposing of trash to cover up for a mob boss named Big Jim.The crime scenes in both are laughably over the top. Or are they? I’ve never actually seen a real-life murder scene, so perhaps copious blood sprayed over walls and ceilings and the masses of broken furniture is completely normal.Take the edge off … Greg Davies as Wicky in the BBC’s The Cleaner. Photograph: Tom Jackson/PAStepping into Kovalsky’s plastic overshoes, the aim is to leave each location exactly as it was prior to the … um … incident. Unlike Wicky, who has to constantly deal with annoying homeowners and neighbours, Kovalsky has no living humans for company; just the dead ones that he hauls over his shoulder before slinging them unceremoniously into the back of his pickup truck. Each scene plays out in silence, save for the occasional brief chat with Big Jim and Kovalsky’s own pithy self-talk. Both Kovalsky and Wicky are world-weary labourers, doing what is necessary to get through each blood-splattered scene. But there are differences between the two men: Kovalsky swipes cash and valuables to boost his bank balance (he’s saving up to pay his daughter’s medical bills) while Wicky just wants to get finished in time for curry night at the pub.Crime Scene Cleaner is a weird concept for a game, the unnatural offspring of PowerWash Simulator and Hitman. But despite the macabre premise, I’ve come to appreciate the quiet, contemplative and satisfying process of cleaning up, as Kovalsky stuffs fragments of glass, pizza slices and broken crockery into his bin bag before hurling it into his truck and getting started on all the blood spatter with a microfibre mop, pushing sofas and tables back and returning ornaments to their rightful spot on the shelves afterwards. It’s immensely satisfying, despite the game’s realistic yet tiresome insistence on continually wringing out your mops and sponges.No living humans for company … Crime Scene Cleaner video game. Photograph: President StudioExploring increasingly bizarre locations is also a common theme between the two: Crime Scene Cleaner has a pizzeria, a museum and a spooky smart house; The Cleaner takes in an ice-cream parlour, theatre and stately home. I love that the game gives me a chance to become a more sedate version of The Cleaner’s Wicky without the interference of coppers, maniacal novelists or even the killer themselves (as brilliantly portrayed by Helena Bonham Carter in the show). With his daughter ensconced in a medical clinic, Kovalsky’s only (living) companion is his playful German shepherd. Its name? Dexter. Of course.At the end of each clean-up, I find myself standing back and admiring the scene, content with a job well done. Crime Scene Cleaner and The Cleaner both tap into the very essence of black comedy, where horror becomes amusingly banall. In both, the crimes have already happened, the worst has been done and all that remains is… the remains.

Published June 2, 2025 10:00am EDT close 'CyberGuy' warns of cyberscams costing Americans billions a year Tech expert Kurt Knutsson joins "Fox & Friends" to warn of new cyberscams and give tips on how to avoid them. NEWYou can now listen to Fox News articles! Given the number of phishing scams we have all faced over the past decade, most of us have developed a basic skill to spot and avoid obvious phishing emails or SMS messages. Cybercriminals are aware of this, and they have evolved their tactics by shifting to more complex and convincing schemes designed to bypass skepticism and lure victims.Their goal remains the same: to trick you into handing over sensitive information, especially credit card data. One of the latest examples is the rise in subscription scam campaigns. Scammers are creating incredibly convincing websites selling everything from shoes and clothes to electronics, tricking people into signing up for monthly subscriptions and willingly providing their credit card information. Facebook is being used as the primary platform to promote these new and sophisticated scams. A woman shopping online (Kurt "CyberGuy" Knutsson)What you need to knowBitdefender researchers have uncovered a massive and highly coordinated subscription scam campaign involving more than 200 active websites designed to look like real online stores. These sites, often promoted through Facebook ads, sell everything from clothes and electronics to beauty products, but the real goal is to trick users into signing up for recurring payments, often without realizing it.One of the most common lures is the "mystery box" scam, where you are promised a surprise package at a bargain price. These offers are made to look fun and harmless, but behind the scenes you are giving away personal and credit card information while unknowingly agreeing to hidden subscription terms, often written in tiny fine print.The scam doesn’t stop there. Once you’re convinced and reach the checkout page, scammers often layer in a second scam, like loyalty cards or VIP memberships that further lock you into payments. It’s all designed to confuse you, overwhelm you with supposed perks and make the scam feel like a good deal.Researchers found that many of these websites share a single Cyprus address, possibly tied to offshore entities linked to the Paradise Papers. Despite being spread across different categories and brand names, the sites often use the same layouts, AI agents and payment structures, all pointing to a centralized fraud network.Scammers frequently rotate the brands they impersonate and have started moving beyond mystery boxes, now peddling low-quality products, counterfeit goods, fake investment schemes, dubious supplements and more. To avoid automatic detection, they employ several tactics. These include running multiple versions of an ad, with only one of which is actually malicious while the others display harmless product images, uploading ad images from platforms like Google Drive so they can be swapped out later and cropping visuals to alter recognizable patterns. Listing fake products (Bitdefender) (Kurt "CyberGuy" Knutsson)The scam is expandingWhat started with simple "mystery box" scams has grown into a sprawling, coordinated campaign. These scams now feature fake surveys, tiered "VIP" memberships and deceptive credit systems that make the purchase process intentionally confusing. Users are promised deep discounts or access to exclusive deals, but in reality they’re just being locked into recurring payments.Many of the scam websites trace back to the same physical address in Cyprus, pointing to what appears to be a centralized operation. Researchers also found links to entities mentioned in the Paradise Papers, suggesting these fraudsters are hiding behind offshore infrastructure.And it’s not just mystery boxes anymore. The same scam format is being used to sell low-quality goods, fake supplements and even bogus investment opportunities. With high-quality site design, aggressive advertising and increasingly sophisticated tactics, subscription scams are becoming the new face of online fraud. A person shopping online (Kurt "CyberGuy" Knutsson)10 proactive measures to take to protect your dataEven as scammers become more sophisticated, there are practical steps you can take right now to protect your personal and financial information from subscription fraud and other online threats. Here are ten proactive measures to help keep your data safe:1) Always read the fine print: One of the simplest yet most effective ways to protect yourself from subscription scams is to slow down and read the fine print, especially on checkout pages. Scammers often hide recurring payment terms in small or lightly colored text that’s easy to miss. What seems like a one-time purchase could actually sign you up for a biweekly or monthly charge. Taking just a moment to scan for hidden terms before hitting "Pay" can help you avoid weeks of silent billing.2) Avoid mystery box or VIP-style deals: These offers often prey on curiosity and the promise of surprise or luxury for a low fee. In reality, the "mystery" is the trap: you might receive nothing or a low-quality item while being unknowingly enrolled in a recurring subscription. Scammers use the illusion of exclusivity or urgency to pressure quick decisions.3) Don’t trust ads blindly on social media: Facebook, Instagram and other platforms are a hotbed for these scams, with criminals running paid ads that mimic well-known brands or influencers. These ads often link to professional-looking but fake storefronts. If you’re interested in a deal you see online, don’t click through immediately. Instead, look up the brand or offer in a separate tab and check if it exists outside social media.4) Investigate before you buy: Before purchasing from any unfamiliar site, take a few quick steps to verify its legitimacy. Search the brand's name alongside words like "scam" or "reviews" to see what others have experienced. Look up the company's physical address and check if it actually exists using tools like Google Maps. Make sure the website uses HTTPS, review the site's contact information and cross-check reviews on trusted third-party sites like the Better Business Bureau or Consumer Reports.5) Use strong antivirus software: Adding a strong antivirus program to your devices can provide an extra layer of defense against fraudulent websites and phishing attempts. Strong antivirus software warns you about suspicious links, blocks malicious ads and scans downloads for malware. Get my picks for the best 2025 antivirus protection winners for your Windows, Mac, Android and iOS devices.6) Invest in personal data removal services: Scammers often rely on leaked or publicly available personal information to target victims with convincing subscription scams. Investing in a personal data removal service can help minimize your digital footprint by removing your information from data broker databases and reducing the chances of being targeted in future campaigns. Regularly monitoring and cleaning up your online presence makes it harder for fraudsters to exploit your data for financial gain. Check out my top picks for data removal services here.Get a free scan to find out if your personal information is already out on the web.7) Be cautious with payment methods: Use secure payment options like credit cards, which often offer better fraud protection than wire transfers, gift cards or cryptocurrency.8) Limit personal information shared on social media: Scammers often gather details from public profiles to craft convincing scams. Review your privacy settings and only share necessary information.9) Use strong, unique passwords and enable multifactor authentication: Create strong, unique passwords for each of your online accounts, especially those tied to your finances or shopping. Enable multifactor authentication wherever possible, as this adds an extra layer of security and makes it harder for scammers to access your accounts, even if your password is compromised. Also, consider using a password manager to generate and store complex passwords. Get more details about my best expert-reviewed password managers of 2025 here.10) Keep your devices and software updated: Regularly update your operating system, browsers and apps. Security updates often patch vulnerabilities that scammers exploit to gain access to your information or install malicious software.Kurt’s key takeawayWhile the rise of subscription scams and deceptive ads is concerning, it’s especially troubling that platforms like Facebook continue to allow these fraudulent ads to run unchecked. Facebook has repeatedly failed to adequately vet or prevent these malicious campaigns from reaching vulnerable individuals. The platform’s ad approval system should be more proactive in spotting and blocking ads promoting scams, particularly those that impersonate well-known brands or content creators. How do you feel about Facebook’s role in allowing scam ads to circulate? Let us know by writing us atCyberguy.com/Contact.For more of my tech tips and security alerts, subscribe to my free CyberGuy Report Newsletter by heading to Cyberguy.com/Newsletter.Follow Kurt on his social channels:Answers to the most-asked CyberGuy questions:New from Kurt:Copyright 2025 CyberGuy.com. All rights reserved. Kurt "CyberGuy" Knutsson is an award-winning tech journalist who has a deep love of technology, gear and gadgets that make life better with his contributions for Fox News & FOX Business beginning mornings on "FOX & Friends." Got a tech question? Get Kurt’s free CyberGuy Newsletter, share your voice, a story idea or comment at CyberGuy.com.

Modern software engineering faces growing challenges in accurately retrieving and understanding code across diverse programming languages and large-scale codebases. Existing embedding models often struggle to capture the deep semantics of code, resulting in poor performance in tasks such as code search, RAG, and semantic analysis. These limitations hinder developers’ ability to efficiently locate relevant code snippets, reuse components, and manage large projects effectively. As software systems grow increasingly complex, there is a pressing need for more effective, language-agnostic representations of code that can power reliable and high-quality retrieval and reasoning across a wide range of development tasks.  Mistral AI has introduced Codestral Embed, a specialized embedding model built specifically for code-related tasks. Designed to handle real-world code more effectively than existing solutions, it enables powerful retrieval capabilities across large codebases. What sets it apart is its flexibility—users can adjust embedding dimensions and precision levels to balance performance with storage efficiency. Even at lower dimensions, such as 256 with int8 precision, Codestral Embed reportedly surpasses top models from competitors like OpenAI, Cohere, and Voyage, offering high retrieval quality at a reduced storage cost. Beyond basic retrieval, Codestral Embed supports a wide range of developer-focused applications. These include code completion, explanation, editing, semantic search, and duplicate detection. The model can also help organize and analyze repositories by clustering code based on functionality or structure, eliminating the need for manual supervision. This makes it particularly useful for tasks like understanding architectural patterns, categorizing code, or supporting automated documentation, ultimately helping developers work more efficiently with large and complex codebases.  Codestral Embed is tailored for understanding and retrieving code efficiently, especially in large-scale development environments. It powers retrieval-augmented generation by quickly fetching relevant context for tasks like code completion, editing, and explanation—ideal for use in coding assistants and agent-based tools. Developers can also perform semantic code searches using natural language or code queries to find relevant snippets. Its ability to detect similar or duplicated code helps with reuse, policy enforcement, and cleaning up redundancy. Additionally, it can cluster code by functionality or structure, making it useful for repository analysis, spotting architectural patterns, and enhancing documentation workflows.  Codestral Embed is a specialized embedding model designed to enhance code retrieval and semantic analysis tasks. It surpasses existing models, such as OpenAI’s and Cohere’s, in benchmarks like SWE-Bench Lite and CodeSearchNet. The model offers customizable embedding dimensions and precision levels, allowing users to effectively balance performance and storage needs. Key applications include retrieval-augmented generation, semantic code search, duplicate detection, and code clustering. Available via API at $0.15 per million tokens, with a 50% discount for batch processing, Codestral Embed supports various output formats and dimensions, catering to diverse development workflows. In conclusion, Codestral Embed offers customizable embedding dimensions and precisions, enabling developers to strike a balance between performance and storage efficiency. Benchmark evaluations indicate that Codestral Embed surpasses existing models like OpenAI’s and Cohere’s in various code-related tasks, including retrieval-augmented generation and semantic code search. Its applications span from identifying duplicate code segments to facilitating semantic clustering for code analytics. Available through Mistral’s API, Codestral Embed provides a flexible and efficient solution for developers seeking advanced code understanding capabilities.  vides valuable insights for the community. Check out the Technical details. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 95k+ ML SubReddit and Subscribe to our Newsletter. Sana HassanSana Hassan, a consulting intern at Marktechpost and dual-degree student at IIT Madras, is passionate about applying technology and AI to address real-world challenges. With a keen interest in solving practical problems, he brings a fresh perspective to the intersection of AI and real-life solutions.Sana Hassanhttps://www.marktechpost.com/author/sana-hassan/Off-Policy Reinforcement Learning RL with KL Divergence Yields Superior Reasoning in Large Language ModelsSana Hassanhttps://www.marktechpost.com/author/sana-hassan/This AI Paper from Microsoft Introduces WINA: A Training-Free Sparse Activation Framework for Efficient Large Language Model InferenceSana Hassanhttps://www.marktechpost.com/author/sana-hassan/Apple and Duke Researchers Present a Reinforcement Learning Approach That Enables LLMs to Provide Intermediate Answers, Enhancing Speed and AccuracySana Hassanhttps://www.marktechpost.com/author/sana-hassan/National University of Singapore Researchers Introduce Dimple: A Discrete Diffusion Multimodal Language Model for Efficient and Controllable Text Generation

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