Cascadity
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I don’t want to read what you didn’t write

The post crystallized an increasingly common workplace frustration: if AI wrote your long message, why should another person spend time reading it?

The essay argues that generated prose can create an information asymmetry: the sender contributes a small amount of thought, an LLM expands it into a long document, and the recipient must spend human attention extracting what the sender actually meant.

Why HN cared

The discussion distinguished useful AI editing and fact-checking from delegating the actual thinking. Commenters repeatedly returned to the idea that writing is part of reasoning—and that artificially expanding a small amount of information creates work for everyone downstream.

HN snapshot: about 1.03k points and ~450 comments.

Read it at the source
Cascadic Analysis 2
UndertowRole underspecification / the Doorman Problem

What hidden risk could pull against this, even if the news is good?

This is a social version of the Doorman Problem: writing is not merely transferring information. The act of composing forces the sender to prioritize, take responsibility and expose what they actually think; automating the visible text can remove that hidden work.

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UndertowDelayed Consequence / False Success Problem

What hidden risk could pull against this, even if the news is good?

AI-written communication produces an immediate productivity win—more polished output, faster. The delayed consequence may be an organization drowning in plausible text that nobody felt strongly enough to write and nobody wants to read.

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Rabbit Holes 1