That’s an algorithm

You can think of a cell as a series of Boolean operators

*operations

I’m going to find something to show you how machine learning works

Right, I also use machine learning in my job

Let’s focus on evolution

Are you sure?

So DNA, which acts as a program

Uh huh

Programs cells

Uh, ok

Which receive random mutations

Which can be positive, negative, or neutral

Ha, ok

Depending on what pressures are selecting on them

Uh huh

Sure

Negative mutations will underperform, positive mutations will overperform

Thus positive mutations will tend to be maintained in a population, and negative mutations will tend to be removed from a population

Uh, ok. So we are assuming they already have basic instructions

Then, through many generations and separation between populations, speciation can occur

What “basic instructions” are you talking about

Cells that survive have the “instructions” to survive

Well first you have selective pressure. What selective pressure?

Then you’d have the basic genes in the cells

With random instructions

It depends on many factors. There’s always selective pressure to successfully breed, and successfully eat

I should say multiply, not breed

And produce energy

And then you have instructions to multiply

Ok, you seem to be wanting to take this back to the origin of life

I want to be 100% crystal clear

That is not part of the theory of evolution

Evolution is the process by which speciation occurs through incremental mutation and selective pressure

No, after you said we wouldn’t be focusing on that, I thought we already made the assumption that it happened

Yes, life exists

And then you brought us to this argument

I think we can agree on that

What argument did I bring us to?

We both know that the origins of life can’t be proved

Scientifically