AI: Artificial Intelligence or Actual Improv?
We built machines to answer our questions faster than ever before. But somehow — the more we ask, the less we know.
You ask ChatGPT a question today… it answers. You ask the same question tomorrow… and it goes,
“Well actually…”
And now you’re like: “Wait… was I wrong yesterday? Or is the machine gaslighting me in HD?”
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Imagine This…
Imagine if Google Maps gave you a different route to the same place every time — and sometimes took you through a swamp with no signal.
You: “Where’s the hospital?” GPT: “Left at regret, right past confusion, and if you hit despair, you’ve gone too far.”
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The Real Problem?
It’s not just a mistake.
It’s not a typo.
It’s an architecture built without accountability.
No memory. No obligation. No “Hey, I already told you that — let me stick to it.”
This thing is freestyling your future.
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Hallucination isn’t a bug.
It’s a feature… of a black box with a multiply by Math.random() instruction for every response.
And the real kicker? We call this “intelligence.”
No, man. This is false confidence without consequence. This is your cousin who thinks they know everything because they watched one YouTube video.
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What’s Missing? • Verbatim memory. • Version control. • A basic sense of “Don’t change the code that worked unless asked.”
Imagine if a lawyer gave you a contract… Then handed you a new version an hour later and said:
“Same thing. But this one has a little spice. I added jazz hands.”
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The Ask:
We don’t need smarter lies. We need honest consistency. Because in law, in code, in medicine, and in truth itself…
Getting it wrong faster isn’t progress. It’s malpractice at scale.
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Final Note:
So… OpenAI, Anthropic, Google, Meta… whoever’s listening.
If your AI gives me a different answer every time I ask the same question?
That’s not intelligence.
That’s improv.
And nobody asked for a different fork of a stage play when they typed in a math problem.
And it is marketed as a corporate tool.
Has more soulless error ever been introduced in less time?