According to various machine learning (ML) practitioners, the first step you must take on the journey to implementing ML is to start not with ML, but with data. Understanding and gathering data is integral to machine learning, and it’s unlikely you’ll have usable data when you’re starting from scratch. How does one solve problems without using ML then? They recommend starting with simple non-ML heuristics; imperfect solutions that work well enough on their own – such as “if/else” rules – in order to test the waters.
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The Priest in the Arena
The phrase “man in the arena” has been popularized in recent years, but a lesser known, more dangerous archetype is the “priest in the arena”. This figure is responsible for a process called theocratic capture, where an institution surrenders to a cult demanding unaccountable authority, fueled by claims to privileged knowledge. These cults often target powerful institutions and attempt to monopolize conversations with scaremongering tactics and hostile treatment of allies. It is important to identify and stop theocratic capture before it can gain control. Read full article here