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Instruments got too complex to understand.
The game is too complex to understand after a few weeks of training camp.
The perception that big data is still incredibly complex to understand is right on the money.
This is a conflict apparently too complex to understand.
Consider: Is it complex to understand?
"Replication parsimony" is in my view an unfortunate expression: "parsimony" is a preference for an explanation that is "least complex", usually understood as "consisting of the smallest number of distinct events".
So this is a very complex concept to understand.
But at least we seem to understand it better.
I think I understand... at least, I want to understand.
Many AI systems are too complex to fully understand by looking at source code alone.
At the very least, we need the words to understand complex ecologies – but what happens when those words are gone?
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com