Watercolor painting of a cozy coffee shop interior at night with warm amber lighting, scattered notes, and coffee cups
groundwork·3 min read

The Night the Rules Changed

Step into the moment when ChatGPT shattered assumptions about what machines could do, and discover why the real disruption wasn't the technology itself.

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The Brief

This article recounts the author's first encounter with ChatGPT on November 30, 2022, and examines how that moment revealed unconscious assumptions about the boundary between human and machine cognition. It explores what shifted -- scarcity, expertise, speed -- and what remained essential.


How fast did ChatGPT grow after launch?
ChatGPT reached one million users in five days after its November 30, 2022 launch. By comparison, Netflix took 3.5 years and Instagram took 2.5 months to reach the same milestone, according to Reuters and Statista.
What assumptions did ChatGPT challenge?
The article describes an unconscious belief held for twenty years: that certain cognitive tasks like writing, analysis, and synthesis required human judgment. ChatGPT did not just challenge this assumption but revealed that the author had never consciously examined it.
What actually changed when ChatGPT launched?
The underlying technology, GPT-3, had existed since 2020. What changed was accessibility. OpenAI wrapped it in a free chat interface with no API keys or waiting lists. This made a truth hiding in plain sight visible: the gap between human and machine capability was narrower than assumed.
What still matters in an age of AI-generated content?
The article argues that human judgment about what is worth doing, contextual understanding, stakes, relationships, and trust remain essential. When anyone can generate plausible text, verification matters more than ever.

November 30th, 2022. I was debugging code in a coffee shop when my phone buzzed: "Have you seen this thing from OpenAI?"

I typed a question I'd been wrestling with for hours. The kind of architectural problem that usually requires a whiteboard, two colleagues, and a long walk. The response came back in seconds. It wasn't just plausible. It was good.

A coffee shop at night with warm lighting and a laptop on a wooden table The ordinary setting where extraordinary shifts often find us

I remember the specific feeling: not excitement, not fear, but vertigo. The sensation of discovering that the ground you've been standing on was never quite where you thought it was.

The Assumption I Didn't Know I Had

For twenty years, I'd carried an unconscious belief: that certain cognitive tasks required human judgment. Writing. Analysis. Synthesis. The messy work of wrestling meaning from complexity. That first conversation didn't just challenge this assumption. It made me realize I'd never consciously examined it.

The technology itself wasn't new. GPT-3 had existed since 2020. What changed was accessibility. OpenAI wrapped it in a chat interface and made it free. No API keys. No waiting lists. And suddenly, a truth hiding in plain sight became visible: the gap between human and machine capability was narrower than we'd assumed.

ChatGPT reached one million users in five days.1 Netflix took 3.5 years. Instagram took 2.5 months.2 But speed wasn't the disorienting part. The disorienting part was watching the floor rise beneath everyone's feet.

An hourglass with sand flowing rapidly The future arrived faster than the past prepared us for

What the Vertigo Revealed

The rules that shifted weren't the obvious ones. Scarcity changed: cognitive outputs that were expensive became cheap overnight. Expertise changed: the floor rose dramatically, even if the ceiling stayed put. Speed changed: the time between idea and prototype collapsed.

But something else became clearer too. Human judgment about what's worth doing. The need for context, stakes, relationships. The importance of trust. When anyone can generate plausible text, verification matters more than ever.

My grandfather was a project manager for a NASA contractor in the sixties. He watched rooms full of engineers with slide rules get replaced by computers the size of refrigerators, then watched those get replaced by machines that fit on a desk. He would have recognized this moment. "Tools change," he used to say. "Work changes. But the need to be useful doesn't change."

The night the rules changed wasn't really one night. It was the night we started paying attention.


References

Footnotes

  1. Hu, K. (2023). "ChatGPT sets record for fastest-growing user base." Reuters

  2. Buchholz, K. (2023). "ChatGPT Sprints to One Million Users." Statista

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