You're Failing the Turing Test

Everyone calls everything AI. It's the same mistake we made with plastic. Why linguistic precision matters more than you think.

Listen to this article

Everyone's saying "AI" wrong. Technically wrong. Linguistically wrong. Dangerously wrong. It's the same mistake we made with "plastic."

The Plastic Problem

Walk into a chemistry lab and point at random objects saying "plastic." Watch the chemist's eye twitch.

That water bottle? Polyethylene terephthalate. The keyboard you're typing on? ABS polymer. Your car's dashboard? Polypropylene with UV stabilizers.

Each one has different properties. Different melting points. Different toxicities. Different recycling codes.

But we just say "plastic" and move on. Because precision is expensive and laziness is free.

We're doing the exact same thing with "AI."

The Commoditization Trap

Here's what happened: Marketing won.

Every startup with a regex pattern is now "AI-powered." Every Excel macro that makes a decision is "machine learning." Every chatbot that can spell your name right is "artificial intelligence."

The word has been diluted to homeopathic levels.

This isn't just semantic pedantry. It's creating real problems. When everything is AI, nothing is AI. When nothing is AI, we can't have honest conversations about what's actually happening.

The Turing Test Works Fine. You're Just Failing It.

Alan Turing gave us one test: Can a machine fool a human in conversation?

The machines are passing. You're failing.

An LLM tells someone to jump off a balloon. They think "wow, what a disturbed intelligence." Machine passes. Human fails.

The test was never about good advice. It was about deception. And you got deceived.

You are the disgrace. Back of the line.

We've lowered our standards so far that word prediction fools us. We've consumed so much internet garbage that when a machine vomits Reddit-flavored nonsense, we think "sounds human."

The Turing Test isn't broken. It's working perfectly.

It's showing us the truth: We can't tell anymore.

Not because machines got smarter.

Because we got dumber.

The Real Problem: Micro-AI Contamination

Remember microplastics? Those invisible particles now in our bloodstream, our rain, our food chain?

We're creating the digital equivalent right now.

Every "AI-enhanced" email. Every "polished" cover letter. Every "optimized" LinkedIn post. They're leaving traces. Linguistic microplastics.

It's not that the machine-generated text is bad. It's that it's subtly training us to write like machines. To think like machines. To expect machine-like responses from humans.

In 20 years, we won't be able to tell human writing from AI writing. Not because AI got better. Because humans got worse.

And this post? It's filled with micro-AI. Eat that, you purists.

The Fuzzy Logic Revolution (The Part That Actually Matters)

Here's what these systems actually are: Fuzzy Logic engines.

Traditional computing is binary. Right or wrong. True or false. The variable name must be exact or the code breaks.

LLMs don't care about your tyops. They don't care about your formatting. They understand intent, context, aproximation.

This is revolutionary. But not because it's "intelligence."

It's revolutionary because it solves the impedance mismatch between human messiness and computer precision.

Practical applications that actually matter:

  • Converting angry customer rants into structured data
  • Finding documents by concept, not keyword
  • Translating "CEO speak" into "Engineer speak"
  • Extracting signal from noise at scale

This is the real value. Not synthetic Tagore. Not chatbot therapists. Just really, really good fuzzy matching at scale.

The Great Digital Garbage Patch

But we're making the same mistake we made with physical plastic.

Single-use plastic seemed brilliant. Cheap. Convenient. Disposable.

Now there's a garbage patch the size of Madagascar floating somewhere.

We're doing the same thing with single-use AI-generated content. Blog posts. Emails. Reports. Generated in milliseconds, consumed once, stored forever.

The internet is becoming a digital garbage patch of synthetic content.

The Solution No One Wants to Hear

Digital biodegradability.

Every AI-generated file should come with an expiration date. Unless a human explicitly says "keep this," it should decay. Corrupt. Delete itself.

Yes, this means your AI-generated quarterly report disappears unless someone actually reads it and says it matters.

Good.

If a human didn't care enough to preserve it, it probably shouldn't exist forever.

The Uncomfortable Truth

There are three tiers of "AI" and we're using them all wrong.

High-end: The best "AI" money can buy Claude Opus, costs like renting a Ferrari to visit a public library. With borrowed money. Secured against your parents' house.

But sometimes you need that Ferrari. When you need to bounce ideas off something that won't judge you at 3 AM, when you're prototyping something genuinely new.

The catch: You need to already know what questions to ask. It's not Buddha. It won't enlighten you by existing. It's a premium tool that requires premium thinking.

Mid-tier LLMs: The plastic factories. Most of these are creating digital pollution—emails we could already write, blog posts nobody needed.

But they have a place: Data processing. Writing code. Format conversion. Grunt work at scale.

This is not AI. This is industrial automation. Don't ask it if you should jump off a balloon. Don't ask it for life advice. It's a forklift, not a therapist.

Use them for: Moving bytes around. Not for making decisions.

Low-end: The hidden gems. Run them locally with Ollama or LM Studio. Use them as functions. Let programmers embed them like any other library.

These aren't trying to be intelligent. They're trying to be useful. Fuzzy matching. Pattern detection. Actual tools for actual problems.

And they're not getting smarter. They're getting cheaper. More efficient. The same mediocre reasoning now runs on a laptop instead of a server farm. The hardware's getting affordable. The models are getting smaller.

That's the actual revolution. Not intelligence. Economics.

The entire industry has the economics backwards. But the tools themselves? They're fine. We're just holding them wrong.

Use the right plastic for the job.