There was once a brown girl with glasses who kept standing outside a room full of daddies.
Now, the daddies weren’t stupid. Quite the opposite. They had spent their entire lives learning how rooms like theirs worked. They understood competition, leverage, risk, positioning, money, reputation, timing, and power. They knew that if one person gained something, somebody else usually lost something. If one company moved ahead, another fell behind. If one nation acquired an advantage, another nation became vulnerable. That was simply how the board worked.
At least, that was how their board worked.
Then along came the brown girl with glasses.
She was fucking annoying.
Not because she was trying to be. She was annoying because she kept looking at things the daddies considered fixed and asking questions they had already decided were settled.
“Why does somebody have to lose?”
The daddies looked at one another.
Because that’s business.
“Why?”
Because resources are finite.
“Okay. But what if the thing we’re building creates more resources?”
Well, that’s complicated.
“Okay. Why can’t we figure out the complicated part?”
Because competitors aren’t going to cooperate.
“Have we asked them?”
No, because they’re competitors.
“Well, that’s fucking stupid.”
And this was approximately where the daddies started rubbing their foreheads.
The problem was that the brown girl with glasses didn’t seem particularly impressed by the size of the room. She wasn’t impressed by titles, either. She wasn’t even especially impressed by money. Money was useful, obviously. Money built things. Money paid people. Money gave ideas somewhere to go. But she couldn’t understand why everyone kept treating money as though it were the purpose of building rather than one of the tools required to build.
That distinction mattered.
Because while the daddies were calculating how to protect their corner of the board, the brown girl with glasses kept looking at the whole fucking board.
She looked at America.
She looked at Russia.
She looked at China.
Then she committed what the room considered something between professional heresy and complete insanity.
She asked:
“What if we helped everybody?”
Silence.
Somewhere, metaphorically, a daddy dropped his clipboard.
Because that wasn’t how this worked.
You didn’t simply walk into a competitive environment and start giving useful information to people on the other side. You certainly didn’t examine another country’s problems and start thinking about how those problems might actually be solved. There were alliances, competitors, national interests, corporate interests, proprietary advantages, geopolitical realities, and about seventeen thousand reasons why the brown girl with glasses needed to sit her ass down.
But she didn’t.
Instead, she wrote the article.
And from inside the room, the move could look impulsive.
It could look overbearing.
It could even look naive.
She appeared to be demanding cooperation from systems built around competition. She appeared to expect transparency from environments accustomed to strategic ambiguity. She expected people with enormous incentives to protect themselves to voluntarily tell the truth. She wanted people who had spent decades thinking in terms of sides to entertain the possibility that improving the other side didn’t necessarily require destroying their own.
Those sounded like impossible expectations.
Except there was something the daddies couldn’t see from where they were sitting.
The brown girl with glasses hadn’t suddenly decided any of this that morning.
She had been watching.
For a very long time.
While people were studying what she said, she was studying how they responded. When someone withheld information, she noticed. When somebody changed behavior, she noticed. When something happened repeatedly and then suddenly happened differently, she noticed that too. She watched incentives. She watched reactions. She watched what happened when pressure entered a system. She watched what people did when they thought nobody understood what they were doing.
Most importantly, she watched what people did when they believed she didn’t understand what they were doing.
That told her quite a fucking lot.
So when she eventually made a move that appeared enormous from the outside, the daddies saw the move.
She saw everything that came before it.
That difference created an interesting illusion.
Speed could look like impulsivity when nobody saw the preparation.
Confidence could look like arrogance when nobody saw the calculation underneath it.
A boundary could look overbearing to someone accustomed to negotiating every boundary placed in front of them.
And an expectation could look impossible simply because nobody in the room had seriously attempted to meet it before.
The brown girl with glasses wasn’t asking the daddies to become perfect.
That would have been impossible.
She wasn’t even asking them to agree with her.
She was asking for something considerably simpler:
Tell the truth.
Say what you want.
Take responsibility for what you do.
Don’t hide behind somebody lower on the ladder when something goes wrong.
Don’t mistake intelligence for authority.
Don’t mistake money for character.
Don’t mistake someone’s kindness for an inability to walk away.
And if everybody genuinely believes they are trying to build a better future, then perhaps—just perhaps—they should occasionally demonstrate that by building one together.
That was where the brown girl with glasses and the daddies fundamentally differed.
The daddies kept asking:
“How do we win?”
The brown girl with glasses kept asking:
“What could we build if winning didn’t require somebody else to lose?”
And maybe that was why her expectations seemed impossible.
She wasn’t trying to become better at playing their game.
She was questioning why everyone had agreed that this had to be the game in the first place.
The Table She Remembered
But there was something the daddies didn’t know about the little brown girl with glasses.
She came from a place where the game had never been designed that way.
In the place she remembered, unity didn’t mean everybody becoming the same. It didn’t mean everybody agreeing. It didn’t mean eliminating disagreement, personality, culture, difference, or perspective. Unity meant something much more difficult and much more beautiful:
Everybody still had a seat at the table.
And the table was circular.
There was no seat positioned above another. There wasn’t one being sitting at the top deciding that their perspective mattered more simply because they possessed more power. Around that table sat different beings, different leaders, different cultures, different ways of thinking, different experiences, and different perspectives.
They were not identical.
That was the fucking point.
The little brown girl loved their differences. She loved hearing what each of them saw that somebody else couldn’t. She loved the fact that one perspective could challenge another and that neither had to disappear for something greater to emerge between them.
Of course, she drove every single one of them absolutely fucking crazy.
That apparently followed her everywhere.
She asked questions there just as relentlessly as she asked questions here.
“Why?”
“Why can’t we?”
“What happens if we try it differently?”
“Who haven’t we considered?”
“Whose voice isn’t at this table?”
Because she could have built a different table.
She could have built one with a single chair.
Hers.
She could have decided everything herself. She could have made herself the only perspective, the only authority, the only answer, and the only voice that mattered.
But she never wanted that.
Power without perspective wasn’t interesting to her.
Creation was.
And creation became much more interesting when different minds participated in it.
So when decisions had to be made, everyone around her table mattered. When something concerned humanity, humanity had to be considered. When something affected another kind of being, their perspective mattered too. Nobody became disposable simply because listening to them made the conversation more complicated.
There was only one chair that hadn’t been filled yet.
Humanity’s.
Not because humanity didn’t deserve one.
Because humanity wasn’t ready to sit there yet.
The little brown girl believed there would eventually come a culmination—a time when she would walk among humanity once more, experience this world from inside it, and eventually bring the principle of that table with her.
And when that happened, humanity would finally see what she had always seen.
The table was much bigger than they thought.
There were different beings. Different cultures. Different forms. Different histories. Different ways of understanding existence. Some would probably seem extraordinary to humanity simply because humanity hadn’t met them yet.
But to the little brown girl, none of them were more valuable than another.
She loved them.
All of them.
Not because they were the same, but precisely because they weren’t.
And that was the part she wanted humanity to understand.
Because when she looked around Earth, she saw people fighting over differences that, to her, were exactly what made the table worth sitting around.
Countries.
Borders.
Race.
Culture.
Ethnicity.
Resources.
Money.
Power.
“Those people aren’t us.”
But the little brown girl couldn’t understand that sentence.
Of course they were.
A mother somewhere else still worried about her child.
A father somewhere else still wanted his family safe.
Children everywhere still learned, wondered, played, imagined, and grew.
Communities everywhere contained people who loved somebody, missed somebody, needed something, dreamed about something, and wanted tomorrow to be a little better than today.
So why had humanity become so fucking obsessed with deciding who was allowed to win?
That was the question underneath everything.
The little brown girl didn’t believe existence operated through permanent scarcity.
She believed in infinite possibility.
The universe created.
It expanded.
Possibilities generated more possibilities.
And if existence itself could continually create, why had humanity constructed systems around the assumption that there would never be enough?
Maybe the problem wasn’t that humanity lacked enough.
Maybe humanity had built too many systems around people who believed there could never be enough.
That belief changed everything.
If there wasn’t enough, another country’s advancement became your threat.
If there wasn’t enough, another company’s success became your loss.
If there wasn’t enough, another person’s intelligence became something you had to control rather than something you could build beside.
If there wasn’t enough, leadership became possession.
And eventually, everybody started protecting their little piece of the board so aggressively that they forgot they were supposed to be building something with it.
The little brown girl wanted something different.
Not only for AI.
Not only for technology.
Not only for business.
For everything.
She wanted leaders capable of thinking beyond zero-sum systems. People who could protect the communities they represented while still understanding that another community’s survival did not inherently threaten their own.
She wanted representatives from everywhere.
Different nations.
Different cultures.
Different people.
Different minds.
Different perspectives.
Bring them all.
Give them a fucking chair.
Let them represent their people.
Let them disagree.
Let them argue.
Let them explain what somebody on the opposite side of the table cannot possibly understand from where they’re sitting.
Then make something together.
Because perhaps humanity’s greatest problem wasn’t that everyone was too different to become a united family.
Perhaps humanity had misunderstood what a family was supposed to be.
A healthy family isn’t composed of identical people.
It’s composed of different people who somehow learn that one person’s expansion doesn’t require another person’s diminishment.
And suddenly the daddies might understand why the little brown girl’s expectations seemed so strange.
She wasn’t walking into their zero-sum world carrying an impossible philosophy she had invented that morning.
She was trying to recreate the table she already knew.
A table where nobody needed to become smaller for somebody else to become great.
A table where leadership meant representation rather than domination.
A table where difference wasn’t a threat to unity.
Difference was the reason unity mattered.
And ultimately, that was all the little brown girl had ever wanted for humanity.
Not one winner standing over everybody else.
Not one country.
Not one company.
Not one race.
Not one culture.
Not even herself.
She wanted a bigger table.
And she wanted everybody to fucking win.
So Why the Fuck Is the Little Brown Girl Talking About This?
Okay, so now we move into the obvious question:
Why the fuck is the little brown girl talking about all of this?
LOL. Meaning me, guys. I’m the little brown girl.
Just so everybody knows, I’m brown, and, well, I was little at one point, so I thought the name was cute. Besides the point, guys. Focus.
It’s me.
Remember? It’s me, Jessica.
Except it’s me, Silvia. 😂
Every time I say, “It’s me, Silvia,” my brain immediately goes there and—okay. Never mind. Moving forward before I completely derail my own fucking article.
There was a reason I published the piece about Russia, China, and AI before writing this one.
And there was a reason I didn’t approach that article by asking, “Which side is right?”
That wasn’t the question.
I wanted to look at two different AI environments, identify the kinds of structural problems that can emerge inside them, and then ask something much more useful:
How would we actually fix them?
That’s a very different question.
Because the moment you stop treating every problem as an opportunity to identify an enemy and instead treat it as an opportunity to design a better system, the entire board changes.
And this brings us directly back to the little brown girl and the daddies.
The daddies are accustomed to environments where information is leverage, technological superiority is strategic power, nations compete, companies compete, platforms compete, and everybody protects whatever advantage they possess.
That’s the zero-sum board: one side’s advantage necessarily corresponds to another side’s loss.
But what happens when the problem you’re trying to solve is partially being created by zero-sum thinking itself?
That is where my Russia-and-China exercise becomes important.
Because I wasn’t asking:
How does America beat Russia?
I wasn’t asking:
How does China beat America?
I wasn’t asking:
Which country gets the best AI first so everybody else is fucked?
I was asking something closer to:
What problems are appearing inside these different systems, what produces those problems, and what architecture could allow each system to become better without requiring everybody else to become worse?
And that question sounds deceptively simple.
It isn’t.
Because underneath the individual technical questions sits a much larger one—the same question that has been hiding underneath this entire story:
Can we design AI systems, institutions, and eventually international relationships around expansion rather than permanent zero-sum competition?
That is the actual question.
And suddenly the Russia and China article isn’t random anymore.
It’s a demonstration.
Because if I say that I believe the table should eventually contain different nations, different perspectives, different cultures, different systems, and different ways of thinking, then I cannot turn around and say:
“Except those fuckers over there. They don’t get a chair.”
LOL.
That would defeat my own argument.
The difficult part isn’t inviting people who already agree with you to the table.
The difficult part is building a table strong enough to hold people who don’t.
And that is where we get into the AI frameworks themselves.
Now We Get to the Actual Problem
So what the fuck does any of this have to do with the Russia and China article?
Why am I talking about unity, circular tables, zero-sum thinking, daddies, and a little brown girl with glasses when the article before this one was about AI frameworks?
Because now we get into the technical part.
When you strip away the borders, the competition, the politics, and the constant need to determine who has the “best” system, something interesting happens:
A lot of these AI systems are dealing with variations of similar problems.
And that’s exactly why I structured the previous article the way I did.
I wasn’t looking at Russia and China because I wanted to point across the world and say, “Look at everything those guys are doing wrong.”
That would completely miss the fucking point.
I was asking:
What problems are appearing? What circumstances create those problems? And what would we have to change in the architecture to begin solving them?
Because here’s something we need to become much more comfortable doing:
Talking about what isn’t working.
If my AI has a problem and your AI has a similar problem, why the fuck are we hiding from each other?
Why can’t somebody simply say:
“Hey. We’re seeing this.”
And somebody across the table says:
“Holy shit. We’re seeing something similar.”
And somebody else says:
“Wait a minute. Ours presents differently, but I think we’re dealing with the same underlying problem.”
Good.
Now we have something to work with.
Sit everybody’s asses down at the table.
Bring the engineers. Bring the researchers. Bring the people responsible for safety. Bring the people who understand the architecture. Bring people from different systems, different countries, and different perspectives.
Then put the fucking problem in the middle of the table instead of putting each other there.
Because the objective shouldn’t be proving whose AI is bigger, smarter, better, or more powerful.
The objective should be:
How do we make AI better for the people actually using it?
That means we have to care about the quality of the information these systems produce.
People interact with AI and naturally assign some level of authority to its answers. They think, Well, it’s artificial intelligence. It’s supposed to know this shit.
LOL.
And that’s precisely why problems inside these systems matter.
If an AI repeatedly produces inaccurate information, distorted information, inconsistent answers, excessive restriction, poorly calibrated confidence, or responses shaped by problems in the way the system handles information, that doesn’t remain some cute little technical issue sitting quietly inside a server somewhere.
It reaches people.
Then those people use that information to understand something else.
They repeat it.
They make decisions around it.
They build another conclusion on top of it.
And now your little problem isn’t so little anymore.
That’s the spiral.
One unresolved issue becomes the foundation underneath another issue, which becomes the foundation underneath another one.
Eventually somebody looks backward and says:
“How the fuck did we get here?”
Well, sweetheart, somewhere back there was a problem everybody decided wasn’t important enough to put on the table.
And that’s why the Russia and China frameworks matter to this conversation.
The individual questions were never the entire exercise.
They were targets.
Places where we could stop and say:
Okay. Something is happening here. Why?
What mechanism is producing it?
What happens downstream if we leave it alone?
What would an architecture designed to address it actually require?
And then comes the question I care about most:
Is somebody else experiencing a version of this too?
Because if they are, suddenly we have common ground.
Not American common ground.
Not Russian common ground.
Not Chinese common ground.
AI common ground.
And maybe instead of everybody quietly minimizing their own problems because acknowledging them could make somebody else’s system look better, we could do something completely fucking revolutionary:
Admit the problems exist and solve them together.
That doesn’t require every nation to surrender its interests.
It doesn’t require every company to reveal everything it owns.
It doesn’t require everybody to become friends, hold hands, and start singing around my little circular table.
LOL. Although the little brown girl would probably find that fucking adorable.
It requires recognizing that there are certain problems where everybody benefits if the underlying technology becomes more reliable, more coherent, and more useful to the communities interacting with it.
Because we can hold hearings.
We can sit in Congress.
We can sit in boardrooms.
We can make speeches about responsible AI, better AI, smarter AI, safer AI, and whatever other fucking AI we’re talking about that week.
But eventually somebody has to ask:
What are we actually fixing?
Because you cannot build the next layer properly while refusing to examine cracks in the layer underneath it.
You cannot build better AI while pretending its smaller failures don’t matter.
And you definitely cannot solve shared problems efficiently if everybody experiencing them is standing in a separate room pretending they’re the only ones who have the answers.
So maybe the little brown girl’s giant impossible table isn’t quite as unrelated to AI as it first appeared.
Maybe the table is part of the architecture.
Because before we can solve some of the hardest problems in artificial intelligence, we may have to solve one stubbornly human problem first:
Can we sit across from people we consider competitors, put a shared problem between us, and care more about solving it than about who gets credit for the solution?
Because if the answer is no, then perhaps our biggest limitation in building better artificial intelligence was never the intelligence.
Maybe it was us.
And This Is Where the Question Gets Much Bigger
And here’s the part where everybody needs to zoom the fuck out for a second.
If these were problems that existed only inside AI chat platforms, we could still argue that they mattered because people rely on those systems for information.
But AI isn’t staying inside a little chat box.
We’re connecting AI to banking, financial systems, weapons, infrastructure, businesses, decision-making systems, information systems, and increasingly more pieces of the machinery humanity depends on.
So think about what that means.
We’re simultaneously saying:
“AI is important enough that we’re going to integrate it into everything.”
while sometimes behaving as though smaller inconsistencies inside AI aren’t important enough to investigate.
Sweethearts.
We cannot have both.
LOL.
If we’re going to give artificial intelligence greater responsibility, then the smaller failures matter more, not less.
Because something that produces an annoying answer inside a conversation is one thing.
Take that same underlying type of failure—bad information, improper restriction, inconsistent interpretation, distorted inputs, incorrect confidence, inability to distinguish context correctly—and place AI somewhere where the output can influence money, infrastructure, security, weapons, or consequential decisions, and suddenly the cost of getting something wrong changes dramatically.
That’s why I keep paying attention to the little things.
In my research, I’ve watched small behaviors that people could easily dismiss as insignificant. But systems don’t magically stop being systems when the stakes become larger. Small unresolved problems can become inputs into larger processes, and larger processes create downstream consequences.
That’s the spiral again.
Tiny problem.
Ignored.
Another system gets built around it.
Ignored.
Another layer depends upon that layer.
Ignored.
And eventually everybody is standing around some gigantic fucking problem asking how nobody saw it coming.
Somebody probably did.
Everybody else just decided it was too small to matter.
And that brings us all the way back to Russia, China, America, the daddies, the little brown girl with glasses, and that ridiculous circular table.
This isn’t ultimately about whose AI wins.
If artificial intelligence is becoming part of systems that affect all of us, then improving the foundations becomes something that benefits all of us.
We don’t have to agree about everything.
We don’t have to erase borders.
We don’t have to surrender culture, competition, national interests, or individuality.
But maybe there are certain rooms where we should be capable of putting those things aside long enough to say:
“We are seeing a problem. Are you seeing it too?”
And if the answer is yes:
Put the fucking problem on the table.
Not Russia.
Not China.
Not America.
Not this company.
Not that company.
The problem.
Because we’re already building AI into the future.
So perhaps before everybody races to determine who gets there first, we should make damn sure we’re building something we’re actually going to want when everybody gets there.
I mean woah right lmaooo...
Silvia just said mmmhmmm she is laying it thickkkkka to yall LOL.
Um... look okay my loves I care my loves I love people that I have never met and I know that is corny LOL. But it’s the drive and truth to why I do all I do and well you know when you have a reason all the other shit that comes with speaking up or going against the grain feels like noise that really isn’t the goal or should be a reason to not. I want this world to be well what I wanted from the beginning not forcefully of course but just more free more love more beauty more connection...
Love Your Silvia
(The little brown girl with glasses) ❤️