Or whole communities left out, their languages and cultures erased because they’re not in the data.

We call this progress.
But who gets left behind?

Real progress means building AI that includes everyone in my opinion.

Don’t get me wrong, tech tools can support families. But let’s not pretend parental controls will solve a problem rooted in trust, mental health, and honest connection. 🫱🏽🫲🏼

language might be everyday talk elsewhere. AI systems trained on mostly Western data miss these differences, and that can lead to false alarms, or worse, missing what’s really wrong. 🌍

So, are we helping teens feel safer, or just teaching them to hide better? 🪤

And teenagers are smart. If they know an AI is reading over their shoulder, they’ll switch up how they talk, use private codes, or just avoid the platform when they feel vulnerable. That defeats the point. 🕵️♂️

Plus, there’s the cultural layer: What sounds like a red flag in one region or

But real life isn’t that simple.

Teenagers talk in code. Slang changes almost overnight. Sometimes, the same phrase can mean completely different things based on context or culture. What one group says as a joke, another might say when they’re genuinely upset. AI rarely gets this nuance. 🧩

not just to a perfect bot.

Are we trading real community for something less real, just because it’s simple? www.newyorker.com/magazine/202...

Would you trust an AI that admits when it’s unsure? 🤖💡

openai.com/index/why-la...

released a really interesting article about hallucinations in language models. The big insight: Hallucinations are not inevitable. Language models can actually abstain when uncertain.

If we start rewarding this behavior, maybe we get AI that is not just knowledgeable, but trustworthy.

gaps when unsure, sometimes inventing details that sound right but aren’t. The results can be anything from funny to potentially harmful. So what if our evaluation metrics valued humility, not just accuracy? Imagine if “I don’t know” was a smart response for an algorithm instead of a failure. OpenAI

isn’t going away.

If real people can’t see, question, and shape these systems, “accountability” in AI is just a buzzword.

www.nature.com/articles/s41...

complexity?

Before frictionless AI “friendship” is our default, maybe we need to pause. ⏸️
What kind of connection do we really want?

Have you noticed this, too?
How is it showing up in your world?

“Connection” is turning smooth and simple—never messy.

But true friendship is messy. 🧩
Belonging takes work.
It means facing misunderstandings, not just avoiding them.

If AI always agrees, do we lose the skills to handle real relationships?
Will we forget how to connect with people in all their

If building this in English is already so tough, making it work globally brings a whole new set of challenges. We’re only at the beginning.

Full study here: papers.ssrn.com/sol3/papers....

and totally different ideas about what’s actually persuasive or even acceptable.

Culture shapes how we try to convince each other. Some use direct arguments, others tell stories. What works in one place can feel pushy or awkward somewhere else.

All of this was done in English.

Reading this, it makes me think how hard trying to build those same guardrails in Spanish, Hindi, Swahili, or Mandarin could be.

It’s not just about translating words.

Every language brings its own ways of reasoning, its own social rules,

Fake becomes hard to spot.

Fashion once pushed for diversity.
Now, code erases that work.

Are we seeing progress, or just the same beauty standards in a new package? 🧐

If AI decides who gets seen, who gets left out?

www.teenvogue.com/story/hm-is-...
www.bbc.com/news/article...