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Dangers of oversharing with AI tools

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Dangers of oversharing with AI tools

Have you ever stopped to think about how much your chatbot knows about you? Over the years, tools like ChatGPT have become incredibly adept at learning your preferences, habits and even some of your deepest secrets. But while this can make them seem more helpful and personalized, it also raises some serious privacy concerns. As much as you learn from these AI tools, they learn just as much about you.

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A man using ChatGPT on his laptop (Kurt “CyberGuy” Knutsson)

What ChatGPT knows 

ChatGPT learns a lot about you through your conversations, storing details like your preferences, habits and even sensitive information you might inadvertently share. This data, which includes both what you type and account-level information like your email or location, is often used to improve AI models but can also raise privacy concerns if mishandled.

Many AI companies collect data without explicit consent and rely on vast datasets scraped from the web, which can include sensitive or copyrighted material. These practices are now under scrutiny by regulators worldwide, with laws like Europe’s GDPR emphasizing users’ “right to be forgotten.” While ChatGPT can feel like a helpful companion, it’s essential to remain cautious about what you share to protect your privacy.

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Dangers of oversharing with AI tools

ChatGPT on a phone (Kurt “CyberGuy” Knutsson)

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Why sharing sensitive information is risky

Sharing sensitive information with generative AI tools like ChatGPT can expose you to significant risks. Data breaches are a major concern, as demonstrated in March 2023 when a bug allowed users to see others’ chat histories, highlighting vulnerabilities in AI systems. Your chat history could also be accessed through legal requests, such as subpoenas, putting your private data at risk. User inputs are also often used to train future AI models unless you actively opt out, and this process isn’t always transparent or easy to manage.

These risks underscore the importance of exercising caution and avoiding the disclosure of sensitive personal, financial or proprietary information when using AI tools.

Dangers of oversharing with AI tools

A woman using ChatGPT on her laptop (Kurt “CyberGuy” Knutsson)

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What not to share with ChatGPT

To protect your privacy and security, it’s crucial to be mindful of what you share. Here are some things you should definitely keep to yourself.

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  • Identity details: Social Security numbers, driver’s license numbers and other personal identifiers should never be disclosed
  • Medical records: While it might be tempting to seek interpretations for lab results or symptoms, these should be redacted before uploading
  • Financial information: Bank account numbers and investment details are highly vulnerable if shared
  • Corporate secrets: Proprietary data or confidential work-related information can expose trade secrets or client data
  • Login credentials: Passwords, PINs and security answers should remain within secure password managers
Dangers of oversharing with AI tools

ChatGPT on a Wikipedia page on a phone (Kurt “CyberGuy” Knutsson)

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How to protect your privacy while using Chatbots

If you rely on AI tools but want to safeguard your privacy, consider these strategies.

1) Delete conversations regularly: Most platforms allow users to delete chat histories. Doing so ensures that sensitive prompts don’t linger on servers.

2) Use temporary chats: Features like ChatGPT’s Temporary Chat mode prevent conversations from being stored or used for training purposes.

3) Opt out of training data usage: Many AI platforms offer settings to exclude your prompts from being used for model improvement. Explore these options in account settings.

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4) Anonymize inputs: Tools like Duck.ai anonymize prompts before sending them to AI models, reducing the risk of identifiable data being stored.

5) Secure your account: Enable two-factor authentication and use strong passwords for added protection against unauthorized access. Consider using a password manager to generate and store complex passwords. Remember, your account-level details like email addresses and location can be stored and used to train AI models, so securing your account helps limit how much personal information is accessible. Get more details about my best expert-reviewed password managers of 2025 here.

6) Use a VPN: Employ a reputable virtual private network (VPN) to encrypt internet traffic and conceal your IP address, enhancing online privacy during chatbot use. A VPN adds a crucial layer of anonymity, especially since data shared with AI tools can include sensitive or identifying information, even unintentionally. A reliable VPN is essential for protecting your online privacy and ensuring a secure, high-speed connection. For the best VPN software, see my expert review of the best VPNs for browsing the web privately on your Windows, Mac, Android and iOS devices.

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Kurt’s key takeaways

Chatbots like ChatGPT are undeniably powerful tools that enhance productivity and creativity. However, their ability to store and process user data demands caution. By understanding what not to share and taking steps to protect your privacy, you can enjoy the benefits of AI while minimizing risks. Ultimately, it’s up to you to strike a balance between leveraging AI’s capabilities and safeguarding your personal information. Remember: Just because a chatbot feels human doesn’t mean it should be treated like one. Be mindful of what you share and always prioritize your privacy.

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Do you think AI companies need to do more to protect users’ sensitive information and ensure transparency in data collection and usage? Let us know by writing us at Cyberguy.com/Contact.

For more of my tech tips and security alerts, subscribe to my free CyberGuy Report Newsletter by heading to Cyberguy.com/Newsletter.

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Technology

House Democrats: DOGE is building a ‘master database’ of Americans’ sensitive information

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House Democrats: DOGE is building a ‘master database’ of Americans’ sensitive information

The Committee has also received reports about troubling, fumbling efforts by DOGE to combine sensitive information held by SSA, the IRS, HHS, and other agencies into a single cross-agency master database. Improving how federal agencies share data to improve outcomes and customer service is a longstanding and bipartisan goal in Congress. Information obtained by the Committee, however, indicates that DOGE is carrying out its work in a manner that disregards important cybersecurity and privacy considerations, potentially in violation of the law.

In an apparent attempt to sidestep network security controls, the Committee has learned that DOGE engineers have tried to create specialized computers for themselves that simultaneously give full access to networks and databases across different agencies. Such a system would pose unprecedented operational security risks and undermine the zero-trust cybersecurity architecture that prevents a breach at one agency from spreading across the government. Information obtained by the Committee also indicates that individuals associated with DOGE have assembled backpacks full of laptops, each with access to different agency systems, that DOGE staff is using to combine databases that are currently maintained separately by multiple federal agencies.

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Will 3D tech change sports forever?

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Will 3D tech change sports forever?

The world of sports is on the brink of a technological revolution, and at the center of it lies 3D digital twin technology. 

Companies like Arcturus are leveraging cutting-edge advancements to create hyperrealistic virtual replicas of live sporting events, allowing fans to experience games like never before. 

This innovation is set to transform not only how fans engage with sports but also how teams train, strategize and manage their players.

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3D digital twin technology (Arcturus)

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What is 3D digital twin technology in sports?

At its core, 3D digital twin technology creates a virtual replica, or “digital twin,” of a real-world environment or event. In the context of sports, this means replicating entire stadiums and live games with incredible accuracy. For example, Arcturus places cameras around the edges of baseball stadiums to capture real-time action and generate a 3D digital clone of the game. Fans can then pinch, zoom and view the game from any angle in the stadium, offering an unprecedented level of immersion.

This technology is available for postgame highlights but is expected to evolve into real-time viewing within a few years. Imagine being able to watch a game from the perspective of your favorite player or zoom into any part of the field as if you were there in person.

3D sports tech

3D digital twin technology (Arcturus)

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Transforming the fan experience

The fan experience is where this technology truly shines. Fans can virtually place themselves in any seat in the stadium or even on the field itself, bringing an entirely new dimension to watching sports. 3D digital twins can be accessed from anywhere, ensuring fans never miss out on their favorite games.

Additionally, features like augmented reality overlays and real-time statistics make following the games more engaging than ever before. Major League Baseball (MLB) has already begun integrating similar technology into its app, offering fans live 3D gamecasts that allow them to view games and access detailed player stats such as pitch velocity and launch angles.

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3D digital twin technology (Arcturus)

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Revolutionizing player training and strategy

The implications of digital twin technology go far beyond fan engagement; they’re also transforming how teams train and strategize. By creating virtual replicas of players using biomechanical and physiological data, teams can simulate match scenarios, track fatigue levels and prevent injuries with precision. Coaches can use digital twins to simulate different game strategies without risking player fatigue or injury.

For instance, they can test how players might react under high-pressure situations or against specific opponents. Digital twins can also monitor player workload in real time, helping coaches adjust training regimens to avoid overtraining or injuries.

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3D sports tech

3D digital twin technology (Arcturus)

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The future of stadium design

Digital twins are also being used in stadium design and management. Fans can explore stadiums virtually before purchasing tickets, ensuring they select the perfect seats. Digital twins help stadium operators fine-tune everything from air circulation to seating arrangements for maximum comfort. Teams can use digital twins to showcase branding opportunities to sponsors or give premium suite customers a virtual walk-through of their offerings.

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3D sports tech 5

3D digital twin technology (Arcturus)

Challenges and opportunities

While the potential of 3D digital twin technology is immense, it’s not without challenges. Early implementations have experienced technical glitches, such as those occasionally seen in MLB’s 3D broadcasts, which sometimes led to humorous but unintended visual effects.

Additionally, some fans may initially struggle to adapt to such a high-tech viewing experience. However, as augmented reality and virtual reality become more mainstream, these barriers are likely to diminish.

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Despite these hurdles, experts agree that digital twins represent the future of sports. With advancements in artificial intelligence and sensor technologies, we’re only scratching the surface of what’s possible.

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3D sports tech 6

3D digital twin technology (Arcturus)

Kurt’s key takeaways

The integration of 3D digital twin technology into sports marks a turning point for both fans and athletes. From immersive viewing experiences that bring games to life in ways never imagined before to tools that optimize player performance and extend careers, this innovation is set to redefine every aspect of the sporting world.

Do you think the integration of digital twin technology in sports is going too far or can it strike a balance between innovation and preserving the traditional aspects of the game? Let us know by writing us at Cyberguy.com/Contact.

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Copyright 2025 CyberGuy.com. All rights reserved.

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The humble screenshot might be the key to great AI assistants

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The humble screenshot might be the key to great AI assistants

If you want to make the most out of a world increasingly filled with AI tools, here’s a habit to develop: start taking screenshots. Lots of screenshots. Of anything and everything. Because for all the talk of voice modes, omnipresent cameras, and the multimodal future of everything, there might be no more valuable digital behavior than to press the buttons and save what you’re looking at.

Screenshots are the most universal method of capturing digital information. You can capture anything — well, almost anything, thanks a lot, Netflix! — with a few clicks, and save and share it to almost any device, app, or person. “It’s this portable data format,” says Johnny Bree, the founder of the digital storage app Fabric. “There’s nothing else that’s quite so portable that you can move between any piece of software.”

A screenshot contains a lot of information, like its source, contents, and even the time of the day in the corner of the screen. Most of all, it sends a crucial and complex signal; it says I care about this. We have countless new AI tools that aim to watch the world, our lives, and everything, and try to make sense of it all for us. These tools are mostly crap for lots of reasons but mostly because AI is pretty good at knowing what things are, but it’s rubbish at knowing whether they matter. A screenshot assigns value and tells the system it needs to pay attention.

Screenshots also put you, the user, in control in an important way. “If I give you access to all of my emails, all my WhatsApps, everything, there’s a lot of noise,” says Mattias Deserti, the head of smartphone marketing at Nothing. There’s simply no reason to save every email you receive or every webpage you visit — and that’s to say nothing of the privacy implications. “So what if, instead, you were able to start training the system yourself, feeding the system the information you want the system to know about you?” Rather than a tool like Microsoft Recall, which asks for unlimited access to everything, starting with screenshots lets you pick what you share.

Until now, screenshots have been a fairly blunt instrument. You snap one, and it gets saved to your camera roll, where it probably languishes, forgotten, until the end of time. (And don’t get me started on all the screenshots I take by accident, mostly of my lockscreen.) At best, you might be able to search for some text inside the image. But it’s more likely that you’ll just have to s scroll until you find it again.

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The first step in making screenshots more useful is to figure out what’s actually in them

The first step in making screenshots more useful is to figure out what’s actually in them. This is, at first blush, not terribly complicated: optical character recognition technology has long done a good job of spotting text on a page. AI models take that one step further, so you can either search the title or just “movies” to find all your digital snaps of posters, Fandango results, TikTok recommendations, and more. “We use an OCR model,” says Shenaz Zack, a product manager at Google and part of the team behind the Pixel Screenshots app. “Then we use an entity-detection model, and then Gemini to understand the actual context of the screen.”

See, there’s far more to a screenshot than just the text inside. The right AI model should be able to tell that it came from WhatsApp, just by the specific green color. It should be able to identify a website by its header logo or understand when you’re saving a Spotify song name, a Yelp handyman review, or an Amazon listing. Armed with this information, a screenshot app might begin to automatically organize all those images for you. And even that is just the beginning.

With everything I’ve described so far, all we’ve really created is a very good app for looking at your screenshots, which no one really thinks is a good idea because it would be just one more thing to check — or forget to check. Where it gets vastly more interesting is when your device or app can actually start to use the screenshots on your behalf, to help you actually remember what you captured or even use that information to get stuff done.

In Nothing’s new Essential Space app, for instance, the app can generate reminders based on stuff you save. If you take a screenshot of a concert you’d like to go to, it can remind you that it’s coming up automatically. Pixel Screenshots is pushing the idea even further: if you save a concert listing, your Pixel phone can prompt you to listen to that band the next time you open Spotify. If you screenshot an ID card or a boarding pass, it might ask you to put it in the Wallet app. The idea, Zack says, is to think of screenshots as an input system for everything else.

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It’s one thing to screenshot a band you like. It’s another to be able to find them again later.
Image: David Pierce / The Verge

Mike Choi, an indie developer, built an app called Camp in part to help him make use of his own screenshots. He began to work on turning every screenshot into a “card,” with the salient information stored alongside the picture. “You have a screenshot, and at the bottom there’s a button, and it flips the card over,” he says. “It shows you a map, if it was a location; a preview of a song, if it’s a song. The idea was, given an infinite pool of different types of screenshots, can AI just generate the perfect UI for that category on the fly?”

If all this sounds familiar, it’s because there’s another term for what’s going on here: it’s called agentic AI. Every company in tech seems to be working on ways to use AI to accomplish things on your behalf. It’s just that, in this case, you don’t have to write long prompts or chat back and forth with an assistant. You just take a screenshot and let the system go to work. “You’re building a knowledge base, when today that knowledge base is confined to your gallery and nothing happens with it,” Deserti says. He’s excited to get to the point where you screenshot a concert date, and Essential Space automatically prompts you to buy tickets when they go on sale.

Making sense of screenshots isn’t always so straightforward

Making sense of screenshots isn’t always so straightforward, though. Some you want to keep forever, like the ID card you might need often; other things, like a concert poster or a parking pass, have extremely limited shelf lives. For that matter, how is an app supposed to distinguish between the parking pass you use every day at work and the one you used once at the airport and never need again? Some of the screenshots on my phone were sent to me on WhatsApp; others I grabbed from Instagram memes to send to friends. No one’s camera roll should ever be fully held against them, and the same goes for screenshots. Lots of these screenshot apps are looking for ways to prompt you to add a note, or organize things yourself, in order to provide some additional helpful information to the system. But it’s hard work to do that without ruining what makes screenshots so seamless and easy in the first place.

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One way to begin to solve this problem, to make screenshots even more automatically useful, is to collect some additional context from your device. This is where companies like Google and Nothing have an advantage: because they make the device, they can see everything that’s happening when you take a screenshot. If you grab a screenshot from your web browser, they can also store the link you were looking at. They can also see your physical location or note the time and the weather. Sometimes this is all useful, but sometimes it’s nonsense; the more data they collect, the more these apps risk running into the same noise problem that screenshots helped solve in the first place.

But the input system works. We all take screenshots, all the time, and we’re used to taking them as a way to put a marker on so many kinds of useful information. Getting access to that kind of relevant, personalized data is the hardest thing about building a great AI assistant. The future of computing is certainly multimodal, including cameras, microphones, and sensors of all kinds. But the first best way to use AI might be one screenshot at a time.

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