Genesis, image and experiments

The algorithm is vector-based.

You shall not deviate.

There is a creator–content–audience fit.

That fit is determined by the algorithm using vector similarity.

So what that means is:

You should not deviate from your current best-performing video.

The structure I propose is simple.

You begin by uploading two Genesis videos.

These are your starting points.

Out of the two, whichever performs better becomes your default video.

That video becomes your Image video.

From then on, the next set of videos will follow this structure:

One Image video, one Experiment video.

The Image video is made in the image of your current best performer.

The Experiment video is different.

You will keep posting one Image video and one Experiment video.

Until the Image video is dethroned by an Experiment.

When that happens, the winning Experiment becomes the new Image.

And you repeat the process.

Now the next set of Experiments will challenge this new Image.

This loop continues.

What was lacking till now was an Image video.

All videos were Experiments.

So you never double-downed on what worked.

That is why there was no consistency, no compounding, no vector alignment.

Because if recommendations are based on cosine similarity, it would be foolish to keep posting random things.

You have no idea about the position of that random thing in the vector space.

If something works, then keep posting things similar to that.

And run small Experiments in parallel.

This will help you find something even better.

After all, what we are trying to do is get 100% cosine similarity.

That means finding perfect alignment with content–creator–audience fit.

That is the entire goal.

Imagine this :

A creator uploads two different videos.

One gets more views.

She keeps making videos like that one.

Alongside, she tries small changes in new uploads.

If a new one works better, she shifts to that style.

She keeps repeating this.

She will always post something close to what performed best.

Always building on what worked.

Always testing what could work better.

Even if more than half her feed is full of videos that feel same.

She will keep following this model.

No guessing.

Just moving forward with proof.