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Learning Greek (even modern watered Greek for noobs) is essential for grasping the roots of many fundamental concepts in philosophy, math, and science. Take propositional logic, for instance. Ancient Greeks, with their communication protocol, laid the foundation for abstract thinking and logical reasoning in an era where most of the world was still eating from the floor, quite literally.
In Greek, the word "logos" encompasses not only logic but also meaning itself, reason, and discourse. Understanding the etymology and nuances of such Greek terms can deepen your comprehension of these concepts. For instance, "propositional" logic relates to "προτάσεις" a term the Greeks used to denote statements or assertions.
Moreover, Greek OGs like Plato and Aristotle made significant contributions to the philosophy of language and logic, shaping the way we think about truth, validity, and argumentation, even nowadays. So, while you might not need to be fluent in Greek, Ancient, or Modern, a grasp of its key terms and philosophical history can indeed illuminate your path in philosophy, math, computer science, and beyond.
There is a reason why Bill Gates was fascinated enough with Aristotele to ensure his top-shelf writings were kept private and only accessible to him. You can also see that spill over the Windows operating system (particularly W98 and older Vs) when you get a blue screen or black screen also known as Greek screen lol, cause you see a bunch of random Greek characters that make no sense, even to Greeks.
Modern computers partially think Greek, and there is a good computational reason for that. Take this group of words for example and see how they translate into Greek:
You might say “It all looks Greek to me”, but for a computer, it makes absolute sense, and it helps limit computational resources while maintaining maximum efficiency, as the correlation between these words is not only a conceptual one but also a grammatical and syntactical, meaning the computer will spend less time and resources in searching all the possibilities across all domains to find or conclude to these relations.
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Learning Greek (even modern watered Greek for noobs) is essential for grasping the roots of many fundamental concepts in philosophy, math, and science. Take propositional logic, for instance. Ancient Greeks, with their communication protocol, laid the foundation for abstract thinking and logical reasoning in an era where most of the world was still eating from the floor, quite literally.
In Greek, the word "logos" encompasses not only logic but also meaning itself, reason, and discourse. Understanding the etymology and nuances of such Greek terms can deepen your comprehension of these concepts. For instance, "propositional" logic relates to "προτάσεις" a term the Greeks used to denote statements or assertions.
Moreover, Greek OGs like Plato and Aristotle made significant contributions to the philosophy of language and logic, shaping the way we think about truth, validity, and argumentation, even nowadays. So, while you might not need to be fluent in Greek, Ancient, or Modern, a grasp of its key terms and philosophical history can indeed illuminate your path in philosophy, math, computer science, and beyond.
There is a reason why Bill Gates was fascinated enough with Aristotele to ensure his top-shelf writings were kept private and only accessible to him. You can also see that spill over the Windows operating system (particularly W98 and older Vs) when you get a blue screen or black screen also known as Greek screen lol, cause you see a bunch of random Greek characters that make no sense, even to Greeks.
Modern computers partially think Greek, and there is a good computational reason for that. Take this group of words for example and see how they translate into Greek:
disease = νόσος (nosos)
hospital = νοσοκομείο (nosokomio)
nurse = νοσοκόμα (nosokoma)
You might say “It all looks Greek to me”, but for a computer, it makes absolute sense, and it helps limit computational resources while maintaining maximum efficiency, as the correlation between these words is not only a conceptual one but also a grammatical and syntactical, meaning the computer will spend less time and resources in searching all the possibilities across all domains to find or conclude to these relations.
Read full at:
Hackernoon: https://hackernoon.com/greek-syntax-and-propositional-logic-in-philosophy-math-cs-and-beyond
Substack: https://rosspeili.substack.com/p/emerging-realities-4-greek-syntax
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