Entire methodology
M2
Thinking & Facture
Neutral bias
The text tries to accommodate all points of view, avoiding taking a specific, radical, or controversial professional position.
Neural network (Safe compromise)
"The choice between heavy frameworks and clean code depends on the specifics of the project. React offers powerful tools for building SPAs, however Vanilla JS provides maximum loading speed. Both approaches have their advantages."
Human (Professional stance)
"I am strictly against using heavy frameworks just for a simple contact form. Write such blocks in Vanilla JS to maintain load speed and save device resources."
Language models are trained to be safe (Alignment). Their basic instruction forbids them from taking sides in potentially conflicting issues (even if it's a harmless debate among programmers).
Because of this, any generated text turns into a slick jelly of phrases like "it is important to note", "on the other hand", and "a balance must be found". A human, however, possesses professional experience that compels them to take a firm and confident position.