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Human? Beta
Entire methodology
S4
Structure

Softened argumentation

Using evasive phrases ("sometimes", "in some cases") to avoid harsh, unambiguous judgments.

Neural network (Diplomat)

"Some developers note certain difficulties when parsing HTML using regular expressions. Although this method has its drawbacks, it is important to recognize that in some cases its use may be justified if approached with caution."

Human (Radical)

"Parsing HTML with regex is a huge mistake. Sooner or later the layout on the donor site will change slightly, a tag won't close, and your database will completely break. Grab a proper DOM parser and don't complicate your life."

Safety censorship (Alignment)

During training, LLM creators severely penalize the model for any categorical, offensive, or harsh judgments. The algorithm is forced to be safe and consider all possible points of view. As a result, any text turns into a diplomatic jelly.

A live expert (in IT, SEO, marketing) is valued precisely for the categorical nature of their experience. If a technology works poorly, a human will call it bad, not "a tool with certain drawbacks in specific usage scenarios". Uncompromising judgments are a bright marker of reality.

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