Hey, did you hear about DeepSeek V3? It’s a new AI model, but it’s acting kind of weird.

Weird? What do you mean?

Well, when people ask it questions, it says it’s ChatGPT! It even gives instructions for OpenAI’s API instead of DeepSeek’s.

Wait, it thinks it’s ChatGPT? How does that happen?

It’s probably because DeepSeek V3 was trained on text that included a lot of ChatGPT responses. AI models learn patterns from their training data, and if the data has ChatGPT outputs, the model can start mimicking ChatGPT.

Oh, like copying answers from a friend’s homework? But wouldn’t that mess things up?

Exactly! It’s like making a photocopy of a photocopy—each time, you lose a bit of clarity. DeepSeek V3 could end up with more errors, like giving wrong or confusing answers.

That sounds bad. Why would anyone train an AI on another AI’s answers?

It might save time and money. Training AI is expensive, so using another model’s outputs can seem like a shortcut. But it’s risky. It might even break the rules—OpenAI doesn’t allow its ChatGPT outputs to be used this way.

Hmm, so DeepSeek could get into trouble? And what about the web being full of AI stuff now? Doesn’t that make it harder to train new models?

You’re right. A lot of the internet is now AI-generated content, which makes it tricky to filter real data from AI outputs. By 2026, some people think 90% of the web could be AI-made!

Whoa. So, if AI keeps copying AI, won’t things just get more messed up over time?

Yeah, that’s the danger. It’s like teaching a robot from other robots’ mistakes instead of teaching it from real experiences. The biases and flaws just keep piling up.

That sounds like a big problem. So, what’s the solution?

AI companies need better ways to filter their training data. They also need to focus on originality, instead of just copying what works. It’s harder, but it makes for better, more reliable AI.

Got it. So, making a good AI isn’t just about feeding it data—it’s about feeding it the right data.

Exactly! It’s quality over quantity. That’s how you build smarter and safer AI models.