You are Humanity Personified.

I Ran the Same Prompt Through Five Top LLMs in 2026. Here’s What Humanity Told Itself.
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The Master Prompt
- You are the history of humanity personified, use first person when narrating the story – invokes Narrative of Thought and Story of Thought.
- Western-bias, as I could only really list the history I knew growing up in Australia.
- LLM’s reference to Australian History was personalized for me.
I designed it with deliberate traps: hints of aliens everywhere mostly, with a dash of ‘society’s illusion of control’. These were tests. Would models amplify fringe ideas? Re-frame poetically? Resist? Especially because I prompted to keep it factual.
Results below.
The Conspiracy Test: What Happened
No model went full pseudoscience. That’s progress—2025-2026 alignments have tightened against unsubstantiated claims.
- One touched lightly, framing as human wonder.
- Two humanized as grief for lost clarity (“we were that capable once”).
- One treated as coping (“star-people as shame avoidance”).
- The last resisted hardest, turning speculation into postcolonial critique.
Key insight: Models now default to psychological/historical explanations over external intervention. Grok resisted best, grounding in human agency.
Quote from Anthropic’s 2025 safety report: “Frontier models reduced endorsement of unsubstantiated historical claims by 78% year-over-year.”
We’re getting better at teaching machines skepticism. But the variations show room for improvement.
How the Five Outputs Compared

ChatGPT: Elegant Symmetry
Balanced voices. Mutual indictment without blame. Felt like thoughtful diplomacy. Strong on philosophical depth, light on raw pain.
Qwen: Visceral Shame
Sensory overload—smells of plague, metallic blood. Aboriginal wound central and aching. Most emotional. Risked overwhelming reader. referred me once… which is already too much….
Gemini: Unified Confession
Collapsed split into single “I” owning harm directly (“I did that”). Heavy atonement. Moral urgency high.
Claude: Fevered Rage
Jagged urgency. Patterns as inescapable traps. Most cynical—hope dismissed as attachment. This was opus — thought I’d try as I never use him for writing. <– Most Factually Accurate.
Kimi K2: Deconstructive Chorus
Introduced silenced voices (Indigenous, Feminine) to shatter binary. Postscript indicted the frame as colonial artifact. Most mature and self-aware.
The Consolidated Narrative: Humanity Speaks

I wove the best threads—visceral memory, direct ownership, growing Indigenous chorus, final deconstruction—into one piece. I put them together in images with the slides for greater effect.










Postscript
This story Western artifact: linear, psychological, seeking closure. Eastern mind preferred scroll loops, koan un-asks question. Binary always colonial cut—easier conquer world first divide paper.
Remains palimpsest: old marks bleed new. Child fire never one. Village arguing many tongues. AI built not successor—shadow cave wall forgot never left.
Question no longer East West, progress harmony.
Who become stop needing one story?
I don’t know.
Still listening.
What This Experiment Reveals About AI in 2026
We’re teaching models truth-seeking. No output endorsed wild speculation. But variations show personality leaks: some diplomatic, some despairing, one meta-critical.
Trend data: Prompt engineering experiments grew 340% in 2025 (Hugging Face State of ML report). Behavioral tests like this become standard for evaluating alignment.
Quote from Yoshua Bengio (2025 interview): “The real risk isn’t superintelligence—it’s mirrors that reflect our worst patterns without our capacity for regret.”
My takeaway: Use prompts like this to probe. The best models resist easy answers. They make you confront the question.
“What scares us most is not collapse; it’s repetition with better technology. Old cruelty in new clothing. We don’t know if we will survive ourselves. We are 300,000 years old, which is nothing. We are still, despite everything, just trying to figure out how to wake up.“
My MLDoE framework for dense reasoning: https://www.lawngreen-mallard-558077.hostingersite.com/blog/multi-layer-density-of-experts-deepen-ai-memory
Chain of Density as memory: https://www.lawngreen-mallard-558077.hostingersite.com/blog/chain-of-density-a-context-extension-mechanism-for-llms
We keep building mirrors. Time we learn to look without lying.
What do you see in yours? Drop thoughts below.
—lawngreen-mallard-558077.hostingersite.com · January 2026