About

WE SHOULD PROBABLY
EXPLAIN OURSELVES.

Artificial intelligence may change the world. Unfortunately, before it gets around to doing that, we have to survive several million headlines explaining how it might change the world.

We're not scientists.

We're not AI researchers.

We're not politicians, lobbyists or people with a position we're trying to convince you to adopt.

And despite the subject matter, we're definitely not AI agents.

We're people.

Curious, reasonably responsible people trying to understand something that is changing remarkably quickly.

We don't know everything either.

We read things we don't completely understand. We encounter terminology we've never heard before. We see headlines that make us wonder whether something genuinely important just happened or whether somebody simply discovered the Caps Lock key.

So we ask questions.

We research. We compare sources. We look for people who know more than we do. We try to separate what happened from what someone thinks it means. And when we finally understand something a little better, we try to explain it in a way that might help somebody else understand it too.

That's really why Humans Still Here exists.

There is no shortage of information about AI.

There is an enormous amount of excellent information about artificial intelligence available.

There's also an enormous amount of hype, fear, jargon, marketing, speculation and people confidently predicting things that haven't happened yet.

Somewhere between those two things...

“Okay... but what does any of this actually mean?”

Those are our people.

Fear thrives in the space between a headline and understanding.

Make that space a little smaller.

We can't eliminate uncertainty about artificial intelligence. Nobody can.

But we can slow down long enough to understand what actually happened, what the evidence supports, what remains uncertain, and why any of it matters to people who don't spend their entire day thinking about AI.

We're not trying to make AI less serious.

We're trying to make understanding AI less intimidating.

A few promises.

01

We won't pretend to know what we don't.

Uncertainty is not a defect. When the answer isn't clear, we'll say so.

02

We won't make you feel stupid.

There are no stupid questions here. Nobody was born knowing what an LLM was.

03

We won't tell you what to think.

We'll try to give you enough context, evidence and perspective to decide that for yourself.

04

We won't confuse volume with truth.

A frightening headline isn't automatically wrong. An exciting headline isn't automatically right. We'll look underneath both.

05

We'll show our work.

Sources matter. Evidence matters. If we make a mistake, we'll correct it.

06

We'll keep our sense of humor.

The subject can be serious without every conversation about it becoming exhausting.

You don't need an AI degree to belong here.

Maybe you use AI every day. Maybe you've tried ChatGPT twice. Maybe your only exposure to artificial intelligence is a stream of headlines telling you that everything is about to change.

You are not behind because you don't know the difference between artificial intelligence, machine learning, an LLM and an AI agent. You simply haven't learned those things yet.

That's what Wait... What Does That Mean? is for.

And if you're worried about AI, we're not going to tell you that's foolish. Some concerns deserve serious attention. If you're excited about what AI might accomplish, we're not going to tell you that's foolish either. Some of what is happening really is extraordinary.

Our job is to help you understand enough to decide what you think.

We don't know exactly where artificial intelligence is taking us.

Neither does anyone else.

We're going to keep learning anyway.

We'll read. We'll ask questions. We'll make mistakes. We'll correct them. We'll explain what we learn. And hopefully, we'll build a community of people interested in figuring this out together.

We'll also keep an eye on the clock.

Just in case.

HUMANS STILL HERE.
Probably fine.
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