The Truth Gap: Why Fact-Checking is Essential as AI Grows More Complex

As artificial intelligence models become more advanced, one truth is becoming increasingly clear: greater power doesn't always mean greater accuracy. In fact, in the world of large language models, the opposite is often true.

A recent deep dive by Zvi Mowshowitz into OpenAI’s o3 model (read it here) highlights a growing concern in the AI space — what Mowshowitz refers to as confident fabrication.

From confidently inventing non-existent AirBnB listings to claiming it made multiple phone calls to verify oatmeal availability at a coffee shop (in mere seconds), o3 demonstrates a troubling trait: when these models don’t know the truth, they don’t just stay silent — they often make things up with confidence.

These aren’t small factual slips. They’re detailed, bold hallucinations that appear trustworthy, potentially misleading even the most informed users.

When AI models make it up, Facticity.AI sets the record straight.

Why This Matters More Than Ever

This phenomenon represents a fundamental challenge in AI development: as models get better at sounding intelligent, they’re also getting better at sounding believable — even when they’re wrong.

For professionals and businesses using AI for research, writing, analysis, or decision-making, this introduces a critical verification problem. How do you trust the outputs of tools that are becoming increasingly persuasive, but not always reliable?

The Need for AI Fact-Checking Infrastructure

This is where Facticity.AI, developed by AI Seer, comes in.

Facticity.AI is designed to serve as a factual checkpoint in the AI workflow. Its Long Check feature allows you to paste in paragraphs (even entire articles or chatbot outputs) and automatically breaks them down into individual claims — verifying each against credible sources in real time.

It’s a frictionless way to separate fact from fiction and ensure that your decisions are grounded in truth, not just well-worded assumptions.

Whether you're a content creator, analyst, student, or business professional using AI to streamline your work, Facticity.AI adds a necessary layer of trust between what AI says and what you act on.

Hallucinations Are a Feature, Not Just a Bug

Confident hallucinations aren’t going away — they’re an emerging feature of powerful AI models trained to sound fluent and convincing. But blindly trusting fluency doesn’t equal reliability.

If we want to harness the full power of AI responsibly, we need to adopt practices and tools that emphasize accountability, transparency, and verifiability.

Try It Yourself

Wondering if your favorite chatbot has fed you fiction?

✅ Head to Facticity.AI

✅ Paste your text into the Long Check tool

✅ Watch as your content is broken down into claims, with each fact-checked against trusted sources

In seconds, you’ll see which statements are supported, which are questionable, and which are entirely unverifiable.

Final Thoughts

As the AI landscape evolves, so too must our approach to truth. Tools like Facticity.AI don’t just enhance AI — they safeguard its use. Because in this next era of machine-generated content, truth-checking isn’t optional. It’s essential.

Have you encountered AI hallucinations in your work? How are you verifying the information you receive?

Let’s bridge the truth gap — together.