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and get more crowded as we get closer to eukaryotes, for instance.

But you are still computing about 20 amino acids per second, right?

This is what you're generating every second.

21 for bacteria, I believe 8 for eukaryotes or 9.

I think it's great.

I think, if you can show me a computer that does this, we are done here.

Yes, you can show me that, but you cannot show me the one that has all.

For now.

For now.

I think the more we learn about, and this is why early life and origin is also very fascinating and applicable to many different disciplines, right?

There's no way you see this the way we just described it unless you think about early life and early geochemistry and earliest emergent systems.

But going back to the biological component, all of these attributes that we think about life or that we associate with biology stems from translation as well as metabolism, but

I see metabolism as a way to keep translation going and translation keeps metabolism going, but translation is arguably a bit more sophisticated process for the reasons that I just described.

It's a way to process materials, and it is inherently dynamic, and it is flexible, but it is not focused on repetition as translation does.

So that's the main difference.

Translation is kind of, in a way, just repeats, right?

So you have the metabolism that can synthesize materials.

It creates or benefits from available energy.

And again, it's a dynamic system.

And then you have computation that is inherently repetitive, right?