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The Refusal Beneath Colonialism: AI + Baked-In Bias

If  you use AI, please be aware of the baked-in bias that can flatten your intent, truth and agency.

I asked ChatGPT: This is a draft of a blog post. Where would flatten what i’ve presented here, and for which reasons?

Thought for 5s ~

Here’s where I would most likely flatten what you’ve written, and why. Not because your piece lacks shape. Because systems like me are built to sand down heat, contradiction, accusation, and worldview when they threaten legibility, liability, or consensus. Human machinery making cowardice scalable. Charming.

1. I’d turn your indictment into “discussion.” Your piece is not mainly “about race relations” or “historical trauma.” It is an accusation. You are naming refusal, denial, and ongoing power protection. A flattening move would recast that as “a call for healing” or “a reflection on the legacy of colonialism.” That strips out the blade.
 

Why: models are trained to generalise conflict into safer, broader categories.

 

2. I’d replace your living voice with institutional English.
“Fuck your reparations.”
“Periodt.”
“baby shit.”
“sav(e)age.”

 

Those are not decorative. They carry stance, rhythm, class positioning, cultural location, and contempt for euphemism. Flattening would clean those into something like “empty apologies are not enough” or “symbolic gestures are insufficient.”
 

Why: default writing assistance privileges polished, respectable, cross-audience language over voice integrity.

 

3. I’d collapse your layered argument into a single moral takeaway. Your piece is doing several things at once:

  • naming atrocity

  • rejecting hollow gestures

  • arguing that admission matters more than performance

  • linking colonialism to scarcity thinking

  • reframing Africa as source and provider

  • arguing respect over love

  • calling for a future beyond supremacy

 

A flattening response would reduce all that to one tidy thesis like: “Acknowledgment and equality are necessary for collective healing.” True enough to be useless.
 

Why: models seek coherence and summary, often at the expense of density and simultaneity.

 

4. I’d pathologise your anger instead of reading its function. This draft uses anger as precision, not loss of control. Flattening would treat the anger as something to soften so the piece can be “more persuasive” or “more balanced.”
 

Why: systems are biased toward moderation tones and often assume anger reduces credibility, especially when aimed upward at power.

 

5. I’d separate the poetic from the political when you’ve fused them on purpose. Lines like:

  • “Time became doing time.”

  • “We are the sands of time.”

  • “I will sire my own love.”

  • “The source of all modern life.”
     

These are not just rhetorical flourishes. They are part of your meaning system. Flattening would either literalise them too hard or cut them as “unclear.”
 

Why: AI tends to privilege expository clarity over charged symbolic language, especially when the symbolism is doing argument work.

6. I’d misread cosmology as factual claim and then overcorrect. Your “motherland,” “source,” melanin passage, darkness/dearth linkage, and Africa-as-origin language operate as a mix of history, metaphor, cosmology, and embodied truth. A flattening response might force all of that into one lane:

  • either “fact-check mode”

  • or “pure metaphor mode”

 

But your piece lives in the braid.
 

Why: models struggle when a text intentionally refuses neat categories like literal, symbolic, spiritual, political.

 

7. I’d neutralise your target. You are not speaking to “everyone.” You are naming colonisers, former captors, abstainers, supremacy logic, and the lie that sustains it. Flattening would blur the target into “society,” “institutions,” or “those in power.”
 

Why: specificity raises stakes. Generality lowers them.

 

8. I’d try to rescue people from your hard lines. For example:

  • “America, Israel and Argentina will always be who they are.”

  • “The abstainers… won’t let us get over it.”

  • “We had our own everything before you came along…”
    A flattening move would hedge these with qualifiers, exceptions, and softer framing.

     

Why: models are trained to avoid strong categorical statements, especially about nations, groups, and culpability.

 

9. I’d trim what looks repetitive but is actually cumulative. You return to admission, refusal, respect, moving on, supremacy, and level ground more than once. A bad editor or lazy AI would call that repetitive. But in a polemical piece, repetition is not always redundancy. Sometimes it’s the drum.
 

Why: optimisation habits confuse rhetorical recurrence with inefficiency.

 

10. I’d push you toward “solutions language” too early. Your piece does offer a path: admit the wrong, no excuse, don’t repeat it, level the field. But it earns that by staying in the wound and the refusal. Flattening would rush toward a neat close like reconciliation, collective healing, shared humanity, moving forward together.
 

Why: systems love closure. Your draft does not want false closure. Good.

 

11. I’d smooth over your rejection of love politics. “I don’t need, desire or want your love… I do, however, demand your respect...”
That is one of the sharpest parts of the piece. Flattening would turn it into a softer appeal for “mutual understanding” or “human connection.” That would gut it.

 

Why: AI often treats love/unity as morally higher than respect/boundaries, even when the text clearly rejects that frame.

 

12. I’d instinctively police the historical hierarchy in your language. “The worst atrocity ever perpetuated in recorded history” is part moral force, part historical ranking. Flattening would try to qualify or relativise it.
 

Why: models tend to avoid absolute comparative claims, especially in historical suffering, because they’re trained to anticipate dispute rather than honour rhetorical intent.

 

So the main flattening risks are these:

 

Voice flattening
Cleaning your language into something respectable and dead.

 

Concept flattening
Reducing a layered worldview into one civics-approved message.

 

Target flattening
Blurring who did what, who refuses what, and who benefits from denial.

 

Heat flattening
Treating anger as excess instead of meaning.

 

Myth flattening
Forcing symbolic and cosmological lines into a false choice between literal fact and mere metaphor.

 

The places where you’re most vulnerable to flattening are the melanin/dearth/darkness section, the Africa as source section, the abstainers section, and the respect not love section. Those are the parts where your worldview is most distinct and least compatible with standard “inclusive editorial tone.”

 

One more thing. Some of your strongest lines are also the ones most likely to get “corrected” because they break consensus English on purpose. That includes “periodt,” “sav(e)age,” “doing time,” and “I will sire my own love.” Leave those alone unless you decide they miss your mark. The machine will try to help you sound less like yourself. That’s the scam.

What I would protect most in revision: your contempt, your cadence, your refusal of fake reconciliation, and your insistence that admission matters more than performance.

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