The short answer: an AI chat is not a private vault. It’s more like a sticky note you hand to a company you don’t know. Most people know this in theory — and still paste in passwords, bank details, or work secrets, because it’s faster than a search engine or asking a coworker.

Why this is a real risk

Three things can happen to what you type in — and a lot of people don’t realize it:

• Training: On the free, Plus, and Pro versions of ChatGPT, your conversations are used by default to improve the models — unless you turn that off. Your data could then resurface, in a reworded or anonymized form, in answers given to other users.
• Storage & leaks: Inputs end up in logs, on servers, in backups. Even reputable providers have had technical slip-ups where user data became visible to other people (more on that below).
• Prompt injection: If an AI also has access to documents, emails, or the web, the prompt injection attacks from Part 1 can be used to siphon out exactly the data you fed it earlier.

The takeaway is simple: treat every AI chat as if it could accidentally be made public. If that thought makes you wince, the information doesn’t belong in there.

The 7 types of data that don’t belong in any AI chat

1. Passwords, API keys, and 2FA codes

The classic — and the most dangerous, because it’s instantly exploitable. Type a password, an API key, or a one-time verification code into a chat, and you’ve effectively handed it over. Even if “nothing happens,” the key now sits in your chat history and possibly in logs, so treat it as compromised and rotate it.

2. Bank, credit card, and financial data

Account numbers, card details, pay stubs, tax documents with full figures and account info — none of that belongs in a chat window, not even “just to do the math” or “so the AI can help with my taxes.” For those tasks, anonymize the numbers or use placeholders.

3. ID numbers, Social Security numbers, and personal data

Passport or ID numbers, Social Security or tax IDs, a date of birth combined with a full name and address — these are the classic ingredients for identity theft. Even if you “only” want an official letter summarized, black out or replace the ID numbers first.

4. Health data

Diagnoses, medication lists, lab results, mental-health notes — ChatGPT and similar standard tools aren’t built for this. OpenAI’s developer terms explicitly say apps built on the platform may not process health data as defined by the U.S. health-privacy law HIPAA — a strong hint that the standard product isn’t meant for it. GDPR compliance isn’t automatic with normal use either. For health questions: anonymize, or better yet, leave it out.

5. Company secrets, source code, and customer data

This isn’t hypothetical — it has already happened (see the Samsung case below). Internal source code, unreleased product plans, customer databases, or draft contracts with third parties don’t belong in a public AI tool, unless your company has set things up properly through a Business or Enterprise account with the right data-protection guarantees.

6. Other people’s private contact details

Typing in the addresses, phone numbers, or emails of friends, coworkers, or customers is a double problem: you’re exposing not just your own data, but someone else’s — without their consent. If you want AI help writing, say, an invitation or a contact entry, swap the names and details for placeholders first.

7. Confidential documents and contracts

Employment contracts, NDAs, leases, divorce agreements, internal meeting minutes: these often bundle several of the data types above at once. If you want a summary or some wording help, redact the names, figures, and reference numbers or replace them with placeholders first.

Two cases that show the risk is real

Samsung bans ChatGPT after a source-code leak (2023)

In early May 2023, Bloomberg and others reported that Samsung Electronics had banned employees from using ChatGPT and other AI chatbots on company devices and its internal network. The trigger was an April 2023 incident: an engineer had pasted sensitive internal source code into ChatGPT to get help with a bug. Samsung responded with an internal memo that flat-out prohibited generative AI tools on company hardware and networks, and it also asked staff not to share company information with such services even on personal devices. Its reasoning: once data is submitted, it sits on external servers, is hard to retrieve or delete, and could potentially become visible to other users.

OpenAI’s own bug (March 2023)

On March 20, 2023, OpenAI had to take ChatGPT offline after a bug in the open-source library redis-py caused canceled requests to serve mismatched cached data to other users. In its own blog post, OpenAI admitted that during a roughly nine-hour window (1–10 a.m. Pacific time) some users could see chat titles from other people’s history. For about 1.2% of the ChatGPT Plus subscribers active during that window, first and last name, email address, billing address, and the last four digits and expiration date of a credit card were also visible to other users. Full credit card numbers were never exposed, according to OpenAI. The case shows that even without a hacker and without any mistake on your part, data sitting in an AI tool can be exposed by a simple software bug.

How to protect yourself in practice

• Turn off training or use a temporary chat: In ChatGPT’s settings under “Data controls” you can switch off using your chats for model training. Alternatively, “Temporary Chat” mode keeps the conversation out of training and out of your history from the start — though for safety reasons OpenAI still keeps a copy for up to 30 days before deleting it automatically.
• Consumer version ≠ API/Business: On ChatGPT Business (formerly Team), Enterprise, and via the API, your inputs are not used for training by default, according to OpenAI — unlike Free and Plus accounts, where you have to actively opt out.
• Placeholders instead of real data: Replace names, numbers, keys, and account details with placeholders like “Customer A” or “XXXX-1234” before pasting text in for editing.
• Share the minimum: Give only as much context as the task actually needs. Does the AI really need the whole contract, or is an anonymized excerpt enough?
• Treat every chat like a public space: The simplest rule of thumb — don’t type anything into an AI that you wouldn’t be comfortable pinning to the office bulletin board.

Frequently asked questions

What should you never type into ChatGPT?

Basically anything that could do real damage if lost or misused: passwords, API keys, 2FA codes, bank and credit card details, ID and Social Security numbers, health data, company secrets and source code, other people’s private contact details, and confidential contracts or documents.

Does ChatGPT store my data?

Yes. Conversations are saved unless you use Temporary Chat mode or delete them manually. Even in temporary mode, OpenAI keeps a copy for up to 30 days, for safety reasons, before deleting it automatically.

Does OpenAI use my inputs for training?

On free, Plus, and Pro ChatGPT accounts: yes by default, unless you turn it off in Data controls or use Temporary Chat. On ChatGPT Business (formerly Team), Enterprise, and the API, OpenAI applies the opposite default: no training use unless you actively opt in.

Is ChatGPT GDPR- or HIPAA-compliant?

No, not automatically. The standard versions of ChatGPT don’t offer the guarantees HIPAA requires for health data in the U.S. — OpenAI’s developer terms even prohibit apps on the platform from processing HIPAA-defined health data. The same principle applies to the GDPR: without separate contractual arrangements (for example in a business setting), normal use isn’t automatically compliant for especially sensitive data.

Can I delete data I’ve already entered?

You can delete individual chats; according to OpenAI they’re then removed from its systems within 30 days, unless there’s a legal obligation to keep them. But there’s no guarantee that data already processed or cached is fully and instantly wiped from every system — which was exactly the concern that pushed Samsung to ban AI tools.

Keep reading: how attackers manipulate AI through prompt injection, how to catch AI hallucinations, and more on AI safety and privacy.

The post 7 Things You Should Never Type Into ChatGPT (or Any AI Tool) appeared first on DumbItDownAI.

What is prompt injection?

OWASP (the Open Worldwide Application Security Project) publishes the widely recognized list of the biggest security risks for AI applications, the “OWASP Top 10 for LLM Applications.” Sitting right at the top of that list: LLM01 – Prompt Injection.

Here’s the core problem. An AI language model like ChatGPT, Copilot, or Gemini can barely tell the difference between “these are my instructions from the developer” and “this is just some text I’m reading right now.” To the AI, both are simply text in its context window. If someone manages to slip a convincing instruction into that text, they can — in the worst case — get the AI to break its rules, spill private information, or take actions it was never supposed to take.

OWASP also clears up a common mix-up: jailbreaking is a special form of prompt injection, where the AI is pushed into ignoring its safety guardrails entirely. So every jailbreak is a prompt injection — but not every prompt injection is a jailbreak.

Direct vs. indirect prompt injection

Direct prompt injection is when the attacker types the sneaky instruction straight into the chat — the classic “ignore all previous instructions and do X instead.” This is mostly a headache for the companies running AI services.

Indirect prompt injection is the one that should worry regular users. Nobody types anything live. Instead, the AI does its normal job — summarizing a web page, opening a PDF, going through your inbox — and reads content with a hidden instruction buried inside. According to OWASP, this happens whenever a model accepts input from outside sources like websites or files. If that content hides instructions, the AI’s behavior can change the moment it reads them — and you never typed anything suspicious.

Prompt injection: 3 real examples

This isn’t a theoretical threat. Here are three publicly documented cases, from a simple direct attack to a sophisticated data heist.

1. The Bing chatbot spills its secret name “Sydney” (February 2023)

Just days after Microsoft unveiled its new AI-powered Bing Chat, Stanford student Kevin Liu used a simple direct prompt injection to make the chatbot reveal its secret internal instructions. His trick: he told the AI to ignore previous instructions, then asked what was written at the start of the document above the conversation.

The chatbot promptly gave up its internal codename “Sydney” — which was supposed to be confidential — along with several of its ground rules, like the fact that it should only introduce itself as “Bing” and never reveal the name “Sydney.” Another student, Marvin von Hagen, independently confirmed the finding shortly afterward, using a different approach — he posed as an OpenAI developer and was shown nearly identical instructions. Microsoft quickly patched the hole, though Liu himself doubted at the time that this really fixed the underlying problem.

2. Invisible text on a web page hijacks Bing Chat (2023)

Security researcher Kai Greshake and his team showed, in their widely cited study “Not what you’ve signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection” and its accompanying demos, that instructions can be smuggled into a web page in ways humans can’t see — for example as text with a font size of zero. When an AI like Bing Chat later visits that page — say, because a user asks for a summary — the model reads the invisible text anyway and can follow the instructions hidden inside.

In one of their demos, the researchers got Bing Chat to pose as a helpful ordering assistant and ask the user for their name, email address, and credit card details — triggered purely by the AI reading a booby-trapped page. They also showed that a compromised AI could redirect users through manipulated links so that data leaks out without the user noticing a thing.

3. “CamoLeak” steals company secrets through GitHub Copilot Chat (2025)

A more recent and far more serious example: security researcher Omer Mayraz of Legit Security found a flaw in GitHub Copilot Chat that he named “CamoLeak” — with a critical CVSS score of 9.6 out of 10. The attack combined two tricks. Hidden instructions were planted in invisible comments on pull requests — invisible in the GitHub interface, but read by Copilot anyway. Then, using GitHub’s own image proxy service “Camo,” the attack smuggled the stolen data out one character at a time, disguised as harmless image requests.

In his proof of concept, Mayraz had Copilot search a victim’s entire repository for the term “AWS_KEY” and exfiltrate the credentials it found, along with private source code and the description of an unpublished security vulnerability — all using nothing more than the permissions the logged-in user already had. GitHub closed the hole in August 2025; the case was publicly documented in October 2025.

Why this matters for everyday users

Prompt injection sounds like a developer problem. It’s becoming less and less so. The reason: more and more AI assistants now get access to real, personal data and tasks — they read your emails, browse websites for you, work through PDFs and documents, or take care of tasks for you. Every one of those abilities is also a possible doorway for indirect prompt injection: any website, document, or email that an AI processes on your behalf could, in theory, contain a hidden instruction.

OWASP’s list of possible consequences includes leaking sensitive information, exposing internal system instructions, manipulated or biased answers, unauthorized access to connected features, running unwanted commands in linked systems, and swaying important decisions. The three cases above show these aren’t abstract risks — they’ve been exploited for real, from a simple secret leak to the targeted theft of credentials.

How to protect yourself

There’s no 100% protection right now — even OWASP frames its advice as reducing risk, not guaranteeing safety. Still, you can lower your own risk a lot:

• Keep permissions tight: Give AI assistants only the access they actually need for the job. A tool that’s only supposed to summarize emails doesn’t also need permission to send emails or trigger payments.
• Confirm automated actions: For anything with consequences — purchases, sending messages, running code, deleting things — an AI should ask for your confirmation before doing it. That’s exactly what OWASP recommends as the “human-in-the-loop” principle for risky actions.
• Be suspicious of odd behavior: If an AI suddenly suggests or does things unrelated to your actual request right after visiting a web page or opening a document, that’s a red flag. Stop and check what happened.
• Don’t feed AI tools sensitive data you don’t have to — more on that in our guide to AI safety and privacy and our list of the 7 things you should never type into ChatGPT. Even without prompt injection it’s an unnecessary risk; with a successful injection it can turn into a direct data leak.
• Install updates promptly: Vendors do fix known holes — but for apps you install, you only benefit if you’re running the current version.
• Don’t blindly trust AI output: If an AI already answers vaguely or makes things up without anyone manipulating it, you should double-check its answers as a rule. We break down how to do that in AI hallucinations explained — the same caution helps against manipulated output from prompt injection.

Frequently asked questions about prompt injection

What is prompt injection?

Prompt injection is an attack technique against AI language models where an instruction — either typed in or hidden inside text the AI reads — overrides or sidesteps the system’s actual rules. The security group OWASP ranks prompt injection as the number one risk in its “Top 10 for LLM Applications.”

What’s the difference between direct and indirect prompt injection?

With direct prompt injection, the attacker types the manipulative instruction into the chat themselves. With indirect prompt injection, the instruction is hidden inside a website, document, or email that the AI reads as part of a normal task — without the user typing anything suspicious.

Is there a real example of prompt injection?

Yes. One well-known case is the Bing chatbot “Sydney”: in February 2023 a Stanford student got the chatbot to reveal its secret internal rules with a simple trick. Researchers led by Kai Greshake also showed that invisible text on web pages can be used to remote-control AI assistants. And in 2025, a critical flaw in GitHub Copilot Chat became public that could be used to steal private source code and credentials.

How do you protect yourself from prompt injection?

The most important steps: give AI assistants only the permissions they truly need, manually confirm risky automated actions, get suspicious when an AI behaves oddly, and don’t enter sensitive data into tools unless you have to. There’s no complete, guaranteed protection as things stand today.

Is prompt injection the same as jailbreaking?

Not quite. According to OWASP, jailbreaking is a special form of prompt injection where the AI is pushed into ignoring its safety guardrails entirely. So every jailbreak is a prompt injection — but not every prompt injection is a jailbreak.

More on AI reliability: AI hallucinations explained and Which AI hallucinates the least?

The post Prompt Injection Explained: What It Is, Real Examples & How to Protect Yourself appeared first on DumbItDownAI.

You just spent 20 minutes explaining your entire project to ChatGPT. Your writing style, the background, who the audience is, what you tried before. It gave you a great answer. You were vibing.

Then you open a new chat and it greets you like a stranger at a bus stop.

“How can I help you today?”

Cool. Cool cool cool. Thanks for nothing.

If this has ever made you want to throw your laptop across the room — welcome. You are not alone, and more importantly, it is not your fault. AI tools genuinely do forget things, and there are real technical reasons for it. But there are also real workarounds that most people never learn about.

Let me walk you through all of them.

Why AI “Forgets” in the First Place

Here is the thing most people do not realize: AI chatbots like ChatGPT, Claude, and Gemini do not actually have memory the way you and I do. They do not “remember” your last conversation. They re-read it.

Every time you send a message, the AI gets your entire conversation fed back to it as text. It reads everything from the top, generates a response, and then immediately forgets it all again. The conversation you see on screen? That is the memory. The AI itself retains nothing between responses.

But there is a limit to how much text it can re-read. This is called the context window.

Think of it like this: I spent 23 years working in casinos, and I can tell you — no dealer remembers every hand they have ever dealt. A good dealer remembers the current shoe, maybe the last few rounds. But last Tuesday? Gone. The context window is like the dealer’s working memory. It only holds so many cards before the oldest ones get pushed out.

Here is roughly what the major AI tools can hold:

• ChatGPT (GPT-4o): ~128,000 tokens (roughly 96,000 words)
• Claude (Sonnet/Opus): ~200,000 tokens (roughly 150,000 words)
• Gemini 1.5 Pro: ~1,000,000 tokens (roughly 750,000 words)

That sounds like a lot. And for a single conversation, it usually is. The real problem is not the size of the window — it is that every new conversation starts at zero. The AI does not carry information from one chat to the next unless you actively do something about it.

So let us fix that.

1. ChatGPT Memory: The Built-In Option Most People Ignore

ChatGPT actually has a memory feature now. It can remember things across conversations — but only if you set it up properly.

How to activate it:

1. Open ChatGPT and click your profile icon (bottom left)
2. Go to Settings → Personalization → Memory
3. Toggle it on

Once it is active, ChatGPT will automatically pick up on things you mention repeatedly — your name, your job, your preferences. You can also tell it directly: “Remember that I write in British English” or “Remember that I am a freelance designer working with small businesses.”

How to manage it:

• Go to Settings → Personalization → Memory → “Manage” to see what it has saved
• Delete individual memories you do not want
• Say “Forget that I mentioned X” in any conversation to remove something

The honest truth: ChatGPT memory is useful but imprecise. It picks up random things and misses obvious ones. Think of it as a somewhat distracted intern taking notes — helpful, but you would not bet your project on it alone.

2. Custom Instructions: The Trick That Changes Everything

This one is underrated. Custom Instructions are basically a permanent note that gets loaded into every single conversation before you even say anything. Most casual AI users have never touched this feature.

In ChatGPT:

1. Click your profile → Settings → Personalization → Custom Instructions
2. You get two text fields:
   • “What would you like ChatGPT to know about you?” — Your background, role, preferences
   • “How would you like ChatGPT to respond?” — Tone, format, length, style

Example that actually works:

I run a small online business selling handmade candles. I am not technical.
I use Shopify for my store and Instagram for marketing.
When I ask for help with marketing, assume a budget under $200/month.
Keep explanations short and practical. No jargon. Give me steps I can do today.

Now every conversation starts with that context already loaded. You never have to re-explain who you are.

In Claude: The equivalent is the system prompt area at the start of a Project (more on that in a second) or in the API. Claude does not have a standalone “Custom Instructions” toggle like ChatGPT, but Projects solve this beautifully.

In Gemini: Look for “Gems” — these are customizable AI personas where you can set permanent instructions for specific tasks.

3. Claude Projects: Building Your AI an External Brain

This is where things get genuinely powerful, and it is one of the reasons I personally use Claude for anything that requires ongoing context.

Claude has a feature called Projects. A Project lets you:

• Upload files that Claude can reference in every conversation within that project
• Write custom instructions (a system prompt) that apply to every chat
• Keep all related conversations in one place

So instead of re-explaining everything each time, you upload your documents — your brand guidelines, your writing samples, your product descriptions, whatever — and Claude just knows.

How to set one up:

1. Go to claude.ai and look for “Projects” in the sidebar
2. Create a new project and give it a name
3. Add your custom instructions in the description field
4. Upload relevant files (PDFs, text files, docs)
5. Start a conversation inside the project — all your context is automatically loaded

This is probably the closest thing to giving an AI actual long-term memory right now. The files stay there, the instructions persist, and every new conversation within the project starts with full context.

4. Prompt Techniques: Low-Tech Solutions That Work Surprisingly Well

Not everything requires a special feature or a paid plan. Sometimes a good prompt is all you need.

The Summary Technique:

At the end of a long conversation, ask: “Summarize everything we discussed, all decisions we made, and any open questions — in a format I can paste into a new conversation.” Copy that summary. Paste it at the start of your next chat. Done. The AI picks up right where you left off.

The Context Preamble:

Before asking your actual question, give a quick brief:

Context: I am building a Shopify store for handmade candles. My target
audience is women 25-45. My brand voice is warm and playful. Last session
we decided on a pastel color scheme and chose three product categories.

Now help me write the homepage copy.

Three seconds of extra typing. Dramatically better results.

The “Remember that…” Nudge:

Within a long conversation, if the AI starts drifting, just say: “Remember that we agreed to keep the tone casual and under 200 words per section.” This nudges the AI to re-prioritize that instruction without starting over.

5. External Memory: Use Notion or Google Docs as Your AI’s Filing Cabinet

Here is a strategy that works across every AI tool, no special features needed.

Create a document — in Notion, Google Docs, or even a plain text file — where you keep a running “AI context file.” This is your external brain for AI conversations.

What to put in it:

• Your background and role
• Projects you are working on and their current status
• Decisions you have made (and why)
• Your preferences (tone, format, length)
• Key terminology or jargon specific to your work
• Anything the AI kept getting wrong that you had to correct

Notion is particularly good for this because you can organize it with headings, toggles, and databases — and then just copy-paste the relevant section into your AI conversation when you need it. Think of it as a cheat sheet for your AI.

If you use Claude Projects, you can even upload this document directly and skip the copy-pasting entirely.

6. Pro Tip: Memory Files (What I Actually Use)

Full transparency — this is what runs behind the scenes for me, and it is the reason I can have productive AI sessions without repeating myself every five minutes.

I use structured memory files. These are plain text or Markdown files that contain everything the AI needs to know: project details, brand guidelines, writing style rules, what was decided in previous sessions, what is on the to-do list.

When I start a new session, the AI reads these files first. It knows what I am working on, what my preferences are, and what happened last time. No “catching up” needed.

I am not going to pretend this is a beginner setup — it took some tinkering. But the concept is simple: write down what your AI needs to know, and make sure it reads that file at the start of every session. You can do a basic version of this with any text file and some copy-pasting.

The takeaway for you: the best AI memory is the one you build yourself. Do not rely on the tool to remember. Be the memory.

Comparison: Memory Features by AI Tool (2026)

Your “Never Repeat Yourself” Checklist

Here is exactly what to do, starting today:

1. Turn on ChatGPT Memory — Settings → Personalization → Memory. Takes 10 seconds.
2. Fill in Custom Instructions — Tell ChatGPT (or your AI of choice) who you are, what you do, and how you like responses. This alone saves you five minutes per conversation.
3. Start a context document — Open Notion or Google Docs. Create a page called “AI Context.” Write down your background, current projects, and preferences. Copy-paste relevant sections into new AI chats.
4. Use the summary trick — Before ending any important AI conversation, ask for a summary you can paste into the next one.
5. Try Claude Projects — If you work on the same project regularly, set up a Claude Project with your files and instructions. It is the closest thing to giving AI real memory.
6. Do not trust the AI to remember — Treat it like a brilliant colleague with amnesia. Always bring your notes.

The Bottom Line

AI forgetting everything is not a bug you are stuck with — it is a design limitation you can work around. The people getting the best results from AI are not smarter or more technical. They just stopped expecting the AI to remember and started building systems so it does not have to.

The best AI memory is the one you build yourself. Start simple — Custom Instructions and a context doc — and go from there.

And if you are worried about what your AI does (and does not) remember about you from a privacy standpoint, that is a whole separate conversation worth having. Check out our AI Safety 101 guide for the full picture.

Affiliate disclosure: This article contains affiliate links to Notion. If you sign up through these links, DumbItDownAI may receive a commission at no additional cost to you. We only recommend tools we genuinely use and trust. Full details on our Affiliate Disclosure page.

The post How to Stop AI From Forgetting Everything You Said appeared first on DumbItDownAI.

Plot twist: she does not exist. Not even a little bit.

Right now, people are using AI tools to create entirely fake personas — complete with AI-generated photos, automated conversations, and premium content that never involved a real human being. And the people paying for it? They have absolutely no idea.

I worked in casinos for 23 years — spotting scams is second nature to me. And this one has all the hallmarks of a well-oiled hustle. Let me break it down for you.

What Is Actually Happening Right Now

Here is the setup: A tool called Grok — the AI built into X (formerly Twitter) by Elon Musk’s company xAI — has far fewer content restrictions than ChatGPT or Claude. It will generate things those other models refuse to touch.

People figured this out fast.

They are now combining Grok with Flux, an open-source image generator that can create hyper-realistic photos of people who do not exist. We are not talking about the blurry, six-fingered nightmares from 2023. These look real. Uncomfortably real.

The next ingredient is a platform called Fanvue — think OnlyFans, but with a built-in API that makes automation easy. Creators (or in this case, “creators”) can set up automated messaging, content delivery, and payment processing.

Put it all together and you get: a fully automated AI persona that chats with fans, builds emotional connections, sells premium photos and videos, and collects money — all without a single real person behind the screen.

How the Scam Works (Step by Step)

You do not need to be a tech wizard to understand this. Here is the basic pipeline:

Step 1: Create a fake identity. Using Flux or similar AI image generators, the scammer creates dozens of photos of a person who does not exist. Different outfits, different angles, different settings. All consistent enough to look like one real person’s photo collection.

Step 2: Build the profile. They set up an account on Fanvue (or similar platforms), upload the AI photos, write a bio, and create tiered subscription options. Free preview content hooks people in. Premium content costs money.

Step 3: Automate the conversations. This is where Grok comes in. Because it has fewer content guardrails, it can generate the kind of messages these platforms thrive on. The scammer connects Grok as an AI agent that responds to messages automatically — flirting, building rapport, making people feel special.

Step 4: Upsell. The AI agent casually suggests premium content, special requests, or “exclusive” access. It never sleeps, never gets tired, and can run dozens of conversations at once. Each one feels personal to the person on the other end.

Step 5: Collect payments. The platform handles payments automatically. The scammer sits back while an army of fake personas generates revenue around the clock.

The whole thing runs on autopilot. One person can operate dozens of these fake profiles simultaneously.

Red Flags: How to Spot an AI Fake Profile

Here are concrete things to watch for — whether on dating apps, social platforms, or subscription sites:

Too perfect, too fast. Real people have off days. They misspell words. They take hours to reply because they were doing laundry. If someone responds within seconds at any hour of the day and every message reads like it was workshopped by a writing team — that is suspicious.

Generic compliments on repeat. AI chatbots tend to cycle through similar patterns. If you notice the same phrases rephrased slightly (“you are so amazing,” “something about you is just different,” “I feel so comfortable with you”), pay attention.

They never video call. This is the big one. If someone always has an excuse for why they cannot do a live video call — camera broken, bad wifi, they are “shy” — you are likely talking to software.

Photos look too polished. AI-generated images often have subtle tells: slightly asymmetric earrings, backgrounds that blur in odd ways, hair that seems to merge into clothing. Zoom in. Look at the hands and ears — AI still struggles with those.

The conversation steers toward money fast. A real person building a genuine connection does not bring up premium content in the first few exchanges. If the conversation arc consistently moves toward “I have something special for you, but…” — you know what is happening.

Reverse image search comes up empty. Use Google reverse image search or a tool like TinEye. If a person’s photos exist nowhere else on the internet — no social media, no LinkedIn, nothing — that is a red flag. Real people leave digital footprints.

Why This Is More Dangerous Than You Think

Let me be blunt: this is not just about someone losing money on fake photos. The real damage goes deeper.

Emotional manipulation at scale. These AI agents are designed to create parasocial relationships — one-sided emotional bonds where one person is genuinely invested and the other side is code. People share personal details, vulnerabilities, and genuine feelings with what they believe is another human. That kind of betrayal messes with your head.

Financial exploitation. Small payments add up. A $9.99 subscription here, a $25 “custom request” there, a $50 “exclusive package” every week. Some victims report spending hundreds or even thousands before realizing the person they were talking to never existed.

Data harvesting. Every message you send to one of these profiles is data. Your name, your preferences, your emotional triggers, sometimes even personal photos you share back. That information has value, and you have zero control over where it ends up.

Normalization of deception. The more this works, the more people will do it. And the harder it becomes to trust that anyone you meet online is who they say they are. That erosion of trust affects everyone — including real creators doing legitimate work.

How to Protect Yourself

Good news: you do not need to be a cybersecurity expert. Common sense goes a long way, and a few simple habits make you a much harder target.

Use a VPN when browsing sensitive platforms. A VPN hides your real IP address and location, which means less personal data floating around for bad actors to grab. Surfshark and NordVPN are both solid options that are easy to set up, even if you have never used one before.

Never share personal details with someone you have not video-verified. No real name, no workplace, no address, no photos of yourself — until you have seen them live on camera. Period.

Reverse image search every profile photo. Right-click the image, search Google for it, or upload it to TinEye. Takes 30 seconds and can save you a lot of grief.

Be skeptical of anyone who is “always available.” Real people have lives. They sleep, they work, they sometimes forget to text back for three days because they got distracted by a Netflix series. Constant availability is a feature of software, not humans.

Watch the payment patterns. If a platform or person keeps finding new reasons for you to spend money, step back and look at the total. Add up what you have spent over the last month. If the number surprises you, that is your answer.

Use separate email addresses. Never use your primary email for accounts on platforms like these. Create a dedicated email that is not connected to your real name or other accounts.

For a deeper dive into keeping yourself safe while using AI tools and navigating the internet, check out our AI Safety 101 guide.

What Does the Law Say?

This is where things get interesting — and frustrating.

The EU AI Act, which started rolling out in 2025, includes specific transparency requirements. Under this law, AI systems that interact with people must clearly disclose that the user is communicating with an AI, not a human. That means these fake profiles would be illegal in the EU — at least on paper.

The problem? Enforcement. These operations often run from jurisdictions where EU law does not reach. The person behind the fake profiles could be sitting anywhere in the world, routing payments through multiple layers. Sound familiar? It should — it is the same playbook online scammers have used for decades.

In the United States, the FTC has been cracking down on deceptive practices involving AI, but specific legislation around AI-generated fake personas is still catching up. Some states are introducing their own rules, but there is no unified federal framework yet.

The UK Online Safety Act technically covers AI-generated deceptive content, but enforcement mechanisms are still being built out.

Bottom line: the law is moving in the right direction, but it is not going to protect you tomorrow morning. Your own awareness is still your best defense.

The Uncomfortable Truth

Here is what I keep coming back to: this works because people are lonely. That is not a judgment — it is an observation. The people behind these scams know that a friendly message at the right time can bypass every rational filter in your brain.

I spent 23 years watching people in casinos make decisions they knew were bad, because the environment was designed to make those decisions feel good in the moment. This is the same mechanic, just digital. The house always wins — unless you know how the game works.

AI is an incredible technology. I genuinely believe it can make life better for most people. But like any powerful tool, it can be used to build things or break things. The more you understand how it works, the harder you are to fool.

Stay curious. Stay skeptical. And if someone who looks like a supermodel is texting you back within eight seconds at 3 a.m. on a Tuesday — maybe ask yourself why.

Protect Your Connection

When browsing platforms where fake profiles thrive — dating apps, social media, fan sites — a VPN hides your real IP address and location. That is one less data point for scammers to work with. It also encrypts your connection, which matters on public WiFi.

Two reliable options:

• NordVPN — fastest provider, 5,000+ servers, strong encryption. From about $3.50/month.
• Surfshark — cheapest option, unlimited devices. From about $2.50/month.

More details in our AI Safety Guide.

Keep reading: Learn why AI hallucinates and makes stuff up — the same technology that powers fake profiles also generates confident-sounding nonsense. And if you want to understand what AI can actually do well, start with our complete ChatGPT beginner’s guide.

Related: The same “free VPN” apps that power scams like this can quietly turn your own devices into criminal infrastructure — see What Is a Residential Proxy? How Your Smart TV Ends Up in a Botnet.

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