Show HN: Cut the crap – remove AI bullshit from websites

A couple of years prepping cases and docs for an attorney helped me appreciate the necessity of language in law.

Conversely, the lack of legal language gives us overly broad (abusable) laws. The CFAA is one notorious example.

> We are increasingly finding ourselves in a peculiar situation where the use of artificial intelligence is creating an ironic cycle of excess and reduction. On one side, AI is being employed to generate content that is often overly verbose and bloated, as algorithms churn out text that fills space rather than conveying concise or meaningful information. This output, while perhaps technically impressive in its sheer volume, often fails to serve the core purpose of clear and direct communication. It may contain a great deal of data, but much of it is irrelevant or overly embellished, making it difficult for the reader to extract anything of value. Essentially, the AI is tasked with expanding ideas into sprawling narratives or articles that only obscure the original intent.

> On the other hand, there are those who are now turning to AI to reverse this inflation, trying to distill these bloated pieces of content into more digestible, efficient versions. These AI-driven tools aim to compress the original text, stripping away the superfluous language and presenting a more focused, streamlined summary that more closely reflects the essence of the original prompt. However, this approach often feels like a futile exercise in trimming down something that was never necessary in the first place. The irony lies in the fact that the only parts people ever truly cared about—the core ideas, the relevant insights, the key messages—were buried under layers of unnecessary verbiage in the first place, only to be painstakingly uncovered and reorganized by another layer of AI intervention.

> In a sense, this back-and-forth process resembles an endless cycle of creation and destruction, where one person pays an AI to dig a hole, and another pays it to fill the hole back in. The end result may look like progress on paper—content is created, then refined, revised, and streamlined—but in reality, very little of substance is actually achieved. The net effect is often minimal, with people endlessly tweaking and refining information, but ultimately not advancing the core objective of clear communication or meaningful progress. This cycle may inflate the BNP (bloat-and-purge narrative process) without producing any tangible results, leaving us with more text, more noise, and less clarity than we had before.

And reduced again:

> The current trend sees AI generating bloated, verbose content that others then compress back into useful summaries, creating an endless cycle of inflation and reduction that accomplishes little beyond adding noise and complexity to what was originally a simple idea.