“5 things you didn’t realize about AI”
1. AI can analyze the universe — but not itself.
We use AI to model climate change, detect early cancer, write novels, analyze satellite imagery, and even simulate black holes.
But ask it:
“How many people used you today, and where?”
… and it just kind of stares at you blankly.
Turns out the tool that helps measure everything else hasn’t been set up to measure itself very well. We’re basically building a digital oracle — but without a usage log.
2. It’s a global tool — with a very local accent.
AI is used in 180+ countries, but the data it’s trained on? Heavily English. Heavily Western. Heavily Reddit.
So while it can discuss Shakespeare, Silicon Valley, and space travel fluently, it might struggle with regional dialects, indigenous languages, or local customs unless someone explicitly fed them in.
It’s like giving the world’s smartest librarian a global library… but 70% of the books are in English, and the rest are missing pages.
3. AI is helping build the future — using mystery metrics.
How many students are using ChatGPT for homework?
How many doctors are checking diagnoses with it?
How many lawyers are “casually” consulting AI before filing?
We don’t know.
Instead, we have third-party traffic guesses, vague press statements, and maybe someone’s cousin who works at OpenAI. In 2025, one of the world’s most powerful tools is still being tracked with digital duct tape and vibes.
4. It’s always online — except when you need answers about itself.
ChatGPT can pull up Shakespeare quotes, explain the Theory of Relativity, or simulate your dream vacation — but ask it how many daily users it has in Brazil, or what people most often use it for?
Nope.
It’s like a racecar that hits 200 miles an hour — but has no dashboard to tell you how fast it’s going.
5. We built AI to be transparent — and wrapped it in black boxes.
There’s something delightfully ironic about creating a tool designed to increase understanding… and then surrounding it with secrecy, corporate NDAs, and closed training data.
The models are open-ish.
The usage is visible-ish.
The impact is studied… eventually.
We’re using AI to peer into the mysteries of the cosmos — but the biggest mystery may still be what we’re doing with it here on Earth.
Final Thought
We are quantifying everything — except the very thing we’ve created to quantify everything. And honestly? That’s kind of poetic.
Maybe when AI finally writes its memoir, the first chapter will be called:
“I was everywhere, and no one knew what I was doing.”
Maybe AI’s blind spot is our reminder that not everything needs to be measured to matter
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