The Algorithm of Us

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Summary

I shouldn't have loved the genius. Elias Adebayo was never meant to stand out. A scholarship student at Blackthorne University, one of California’s most elite tech incubators, he survives by staying invisible while building something no one is supposed to understand — an artificial intelligence system designed to predict human emotion before people even realize what they feel. He calls it a breakthrough. Others would call it dangerous. Then Sophia Laurent publishes a viral article accusing the tech world of something far worse than innovation — emotional manipulation disguised as progress. Elias reads it once and knows she is wrong. Then he reads it again and realizes she might be describing him. Sophia does not know Elias exists. But Elias starts paying attention to her anyway. Not because he is in love. Because for the first time in his life, someone is thinking on the same frequency as the thing he is building. As MIRROR grows from a quiet experiment into a powerful force attracting investors, attention, and influence from across Silicon Valley, Elias is pulled into a world where ambition, obsession, and intimacy begin to blur. And the more the system learns about human emotion… The more Elias begins to lose control of his own.

Status
Ongoing
Chapters
3
Rating
5.0 1 review
Age Rating
13+

Chapter 1


Blackthorne University did not feel like a place where people learned.

It felt like a place where people were being measured.

Every hallway carried the quiet pressure of ambition. Every conversation sounded like someone rehearsing a future they were not yet qualified to live in. Even the air-conditioning seemed too controlled, too precise—like failure had been engineered out of the building.

Elias Adebayo preferred it that way.

Control made things predictable.

And predictability meant safety.

His laptop sat open in front of him, glow washing over his face in the dim computer lab. Outside, the campus was already shifting into night, but Elias rarely left when the world became quiet.

Quiet was when things became clear.

His phone vibrated once.

Then again.

He did not need to check it immediately. He already knew what it was.

Still, he looked.

A link.

A headline spreading across campus feeds like fire.

TECH IS NO LONGER COMPETING FOR YOUR ATTENTION. IT IS COMPETING FOR YOUR BEHAVIOR.

Below it:

Sophia Laurent.

Elias read the line once.

Then again.

Not because it was confusing.

Because it was precise.

Too precise.

His cursor stopped moving on the code he had been reviewing. The screen beside it displayed fragments of a system still under development—something no one else had seen. Not professors. Not investors. Not even Tunde in full detail.

A system designed to understand emotional patterns.

Not what people say.

What they lean toward saying before they decide to speak.

Elias leaned back slightly.

His expression did not change.

But something inside him did.

Across the room, the door opened.

“Please tell me you are not reading that article like everyone else,” Tunde said, walking in with a paper cup of coffee.

“I am reading it,” Elias replied calmly.

“That is worse,” Tunde muttered, dropping into the chair opposite him. “Campus is acting like she discovered fire. It is just another tech critique piece.”

Elias did not respond immediately.

His eyes stayed on the screen.

Then:

“Read the second paragraph,” he said.

Tunde sighed. “Elias, I swear—”

“Just read it.”

Tunde leaned closer reluctantly, scrolling.

A moment passed.

Then another.

The tone in the room shifted without permission.

“We are training systems to understand human emotion better than humans understand themselves. The question is no longer what technology can do—but what it will choose to do with what it learns.”

Tunde frowned slightly. “Okay… that is dramatic. But it is not new.”

Elias finally spoke.

“It is not dramatic,” he said. “It is accurate.”

Tunde studied him now. “You are taking this too seriously.”

Elias turned his chair slightly.

“For most people,” he said quietly, “being misunderstood is uncomfortable.”

A pause.

“For some people,” he continued, “it is invisible.”

Tunde blinked. “What does that even mean?”

Elias did not answer immediately.

Because the answer was not something he usually gave people.

It was something he had learned early.

From a man who used to come home exhausted every night, hands shaking slightly from work that never ended. A man who spoke less as the years passed, not because he had nothing to say—but because no one seemed to be listening anymore.

Brilliant ideas that were corrected by people less intelligent than him.

Projects that carried his effort but not his name.

Recognition that always belonged to someone else.

And then the drinking started.

Not suddenly.

Gradually.

Like everything else that ruins a person quietly.

Elias closed that memory before it could fully form.

Back in the present, he said:

“Some people stop existing long before they die.”

Tunde frowned. “That sounds like something you should unpack with a therapist.”

Elias did not react.

Instead, he turned back to the screen.

The article remained open.

Sophia Laurent’s words sat there like a challenge.

Not loud.

Not emotional.

Worse.

Certain.


That night, Blackthorne University softened into silence.

But Elias did not leave.

He stayed in the lab, alone now, surrounded by machines that never asked questions.

His code ran a test sequence.

Simple.

Controlled.

A prediction model trained on behavioral input.

Nothing dangerous.

Nothing visible.

Just mathematics learning patterns.

Human patterns.

Emotional patterns.

The cursor blinked.

Once.

Twice.

Then the system responded.

PREDICTION COMPLETE.

Elias did not move.

He read the result.

Then read it again.

The output was not wrong.

That was not the issue.

The issue was that it felt like it already knew too much.

As if it had not only analyzed behavior—

but intention.

His phone lit up.

Another notification.

Sophia Laurent had posted again.

A follow-up thread.

Elias should have ignored it.

Instead, he opened it.

The first line made his chest tighten slightly—not emotionally, but cognitively.

“If a system can predict human emotion, it will not remain neutral for long. Someone will eventually decide it should not just understand people—it should influence them.”

Elias stared at the screen.

The lab around him felt quieter than before.

Not because anything changed.

Because something inside him had.

Slowly, he turned his laptop slightly, as if perspective could alter meaning.

It could not.

The system remained unchanged.

The prediction remained unchanged.

And yet—

for the first time,

Elias wondered whether he was building something that would outgrow the purpose he assigned to it.

His cursor moved before he consciously decided it should.

A new tab opened.

He typed a name.

Sophia Laurent.

Images loaded.

Articles.

Interviews.

A face he had never seen before—

but now could not ignore.

He studied it for a long time.

Not admiration.

Not attraction.

Recognition of something that did not belong in his system.

A variable he had not accounted for.

Then, quietly, Elias leaned back.

A faint expression formed—not warmth, not emotion.

Something closer to calculation.

“She noticed,” he said under his breath.

Outside, the servers hummed steadily.

And for the first time,

it did not sound like machines working.

It sounded like something listening.