There is a fashionable new way to avoid thinking. Notice an em dash, a tidy list or a sentence with suspiciously polished edges. Announce that AI was involved. Dismiss the whole thing.

The post may be correct. The product may work. The patch may fix the bug. None of that matters once the detector in someone’s head has beeped. The work has been placed in the AI bucket, the bucket has been labelled slop, and judgment can stop before it becomes tiring.

AI did not create this habit. It merely brought it to the surface. Plenty of people have always cared more about the signals surrounding an idea than the idea itself. Tell them a person they admire said something and they lean forward. Tell them the same words came from someone they despise and they stop listening. Now authorship by a machine provides an even cheaper excuse.

Provenance is not quality

Where something came from can matter. It can expose a conflict of interest, establish authority or tell us who is responsible. What it cannot do is spare us from examining the thing itself.

Is the claim true? Is the reasoning sound? Does the product solve the stated problem? Can the contributor explain and defend the patch? Those questions measure substance. “Was AI involved?” does not answer any of them.

A beautifully written falsehood remains false. An awkwardly written insight remains an insight. A human can produce empty, derivative nonsense with great confidence; a machine can help express a useful idea with unusual clarity. The origin does not reverse the result.

Anyone who changes an opinion merely because they discovered who — or what — formed the sentence was not evaluating the sentence. They were evaluating a social cue and mistaking the sensation for thought.

The sloppiest classifier

AI slop is real. Cheap generation has made it possible to flood every inbox, issue tracker and publishing system with plausible-looking material that no one cared enough to verify. The review cost is real too: ten seconds of generation can impose ten minutes of work on someone else.

Reject that behaviour without hesitation. Reject fabricated claims, repetition, empty summaries, untested patches, evasive authors and submissions whose creators cannot answer basic questions about them. Rate-limit the flood. Close the gate when there are not enough people to operate it. None of this requires pretending that every use of AI produces the same result.

Calling all AI-assisted work “slop” is itself the sloppiest possible act of classification: putting unlike things into one bucket because teasing out the differences requires effort. It is intellectual laziness dressed as taste. Sometimes it is worse — a performance of discernment by people unwilling to do any discerning.

Blanket bans are surrender

Projects, publications and communities that ban AI-generated contributions usually present the ban as a defence of quality. It is an admission that they have chosen not to measure quality.

Good rules describe the failure they are designed to prevent. Require evidence. Require tests. Require disclosure where it is relevant. Require the submitter to understand, revise and take responsibility for every word or line they send. Reject duplication and mass submission. These rules work whether the offending material came from a model, a careless human or a human using a model carelessly.

A provenance ban does the opposite. It rejects honest contributors while rewarding anyone willing to conceal their tools. It removes people who have something useful to contribute but lack the time, confidence or writing skill to package it in the approved manner. And it guarantees that some good work will be discarded for no defect present in the work.

This does not mean a maintainer must accept every contribution. No volunteer owes the internet an unlimited review queue. But a thousand hours of unpaid work buys gratitude, not infallibility. Scarcity of maintainer attention is a sound reason to control volume. It is not evidence that an entire class of tools is incapable of producing value.

Design for the world that exists

Generated material is not a passing current one can nobly swim against. It is a collapse in the cost of producing words, images and code. That change will not be reversed by a rule in a contribution guide.

The serious response is to build better filters around the properties that matter: truth, originality, usefulness, accountability and cost imposed on others. The unserious response is to prohibit the new tool and congratulate oneself for preserving standards. One adapts the system to reality. The other tries to preserve the appearance of the old world while the ground moves underneath it.

This is what makes blanket bans so contemptible. They take the easiest available action — say no to a category — and leave the difficult work of preserving quality undone. They protect a familiar surface at the expense of the substance they claim to defend. Then, inevitably, the communities using better judgment receive contributions that the purists trained themselves not to see.

Authorship does not remove responsibility

Using AI is not an exemption from standards. If you submit the work, you own it. You own its errors, omissions, invented citations, insecure code and tedious prose. “The model did it” is no more acceptable than “my editor did it” or “my compiler allowed it.” A tool can assist production; it cannot inherit responsibility.

That is the boundary worth enforcing. Ban unaccountable work. Ban abuse. Ban deception where disclosure is required. Do not ban useful work because the person behind it used leverage.

The disclosure

Every sentence in this article was generated by AI from my argument, direction and requested tone.

If that fact created an urge to dismiss what you had just read, examine the urge. Nothing in the argument changed. No claim became less true. No sentence became less coherent. You merely learned something about the process and felt tempted to substitute it for an assessment of the result.

That is precisely the point.

Judge the work. Demand evidence. Demand accountability. Reject rubbish without apology. Just do not confuse recognising a tool with exercising judgment.