Content-Type: text/x-zim-wiki Wiki-Format: zim 0.6 Creation-Date: 2025-05-08T00:55:01+02:00
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Oprettet torsdag 08 maj 2025
You Are Becoming Average
Right now, tens of thousands of professionals are leaning into prompt engineering like it’s the new literacy.
“If I could only prompt better I would be so much more successful!” “Thank God there are all these experts ready to show me how!”
They’re refining, tweaking, and even buying “elite” prompts.
But beneath that surface effort is a statistical reality no one’s talking about:
The more you prompt, the more you regress to the mean.
You prompt GPT, Claude, Gemini, or Mistral:
“Give me 5 SaaS trends for 2025.” “Write a bold B2B landing page.” “Create a strategy deck intro slide.”
But here’s what you probably haven’t considered:
Thousands of other users typed similar prompts.
You’re all working with the same model.
You’re all pulling from the same probability-weighted token distributions.
Enter: Regression to the Mean Regression to the mean is a statistical phenomenon where extreme or standout outcomes tend to move closer to the average over time
In GenAI:
That “amazing” result you got? It’s partially luck.
When you reuse the prompt, or others copy it? The luck disappears.
The model returns to its mean behavior, patterned, safe, and undifferentiated.
Viral prompts decay.
Shared prompts homogenize.
And the more people prompt, the less anyone stands out.
Prompting feels like personalization, but it’s actually mass production.
Prompt fatigue: Diminishing returns from the same tricks
Prompt collapse: Model updates break prompt behavior
Output homogenization: Everyone converges on the same tone, language, and ideas
What Smart Builders Are Doing Instead Designing model-agnostic architecture
Creating original IP, not just output
Building RAG + orchestration layers that don’t rely on prompting
Fine-tuning local or open-source models for internal context
Focusing on system-level thinking, not surface-level prompting
If your strategy is to “get really good at prompting,” your strategy is to regress to the mean.
And the mean is getting lower every day.
Prompting isn’t bad. But it likely means you're becoming more average than you think The trick with technology is to avoid spreading darkness at the speed of light
Stephen Klein is Founder and CEO of Curiouser.AI, the only Generative AI designed to augment human intelligence. He teaches AI Ethics at UC Berkeley. To signup visit curiouser.ai or connect on hubble https://lnkd.in/gphSPv_e
Sources [1] Regression to the Mean | Scribbr. https://lnkd.in/guC67e-a [2] Farnam Street. Regression Toward the Mean: A Mental Model. https://lnkd.in/grcYAxUC [3] Stanford HAI. (2024). Foundation Model Transparency Index. https://hai.stanford.edu [4] Hugging Face. (2024). Open LLM Leaderboard. https://lnkd.in/g3cX-Mwx [5] Arxiv.org. (2023). The False Promise of AI Productivity Metrics. https://lnkd.in/gjBuJ3Tk
Sidste redigering: 2025/05/08 tilpasning via AI(LLM) kan forekomme