When Artificial Intelligence Bites Its Own Tail...
When Artificial Intelligence Bites Its Own Tail...

The world of artificial intelligence continues to reach new and exciting horizons. We've taught machines to play chess, drive cars, and even write these very words you're reading. 

Note: Unique AI-generated phrases are presented as bold and italic.

But what happens when we push the envelope further and serve an LLM (Language Learning Model) a heaping plate of its own verbiage? Welcome to the tantalizing world of Computerized Cannibalism!

The Culinary Experiment

Picture a fine-dining restaurant, except instead of a seasoned chef, you have a state-of-the-art LLM. Now, instead of crafting a delicious meal from fresh ingredients, we feed the model its own words. It's like making a stew with yesterday's leftovers, only this time, the leftovers are sentences, and the stew is a bubbling pot of confusion.

The First Course: Chaos Soup

When you feed an LLM its own output, it's akin to a digital Ouroboros, the mythical serpent devouring its own tail. 

You might expect profound insights and wisdom, but more often than not, you'll get sentences like "The parrot danced eloquently with the philosophical toaster." A masterpiece of abstract art in word form, if you will.

The Main Course: Infinite Loop Linguini

Ah, the pièce de résistance! The main course brings forth an infinite loop of words and phrases, like a merry-go-round of madness. Imagine asking the model to describe itself, and it responds with "I am a model that describes myself as a model that describes myself as a model—“ and so on, until the end of time… or your patience, whichever comes first.

The Dessert: Paradox Pie

For dessert, why not indulge in a slice of Paradox Pie? When you ask an LLM to analyze its own text, it might fall into a paradoxical pitfall, like a digital Escher painting. "This sentence is false." 

Is it true? Is it false? The LLM might just short-circuit trying to figure it out. It's a dessert best served with a side of existential crisis and a dollop of whipped confusion.

The After-Dinner Drink: A Sip of Self-Awareness

As a nightcap, ponder this: Is an LLM truly aware of itself when analyzing its own words, or is it merely a series of algorithms performing a complex dance? 

At the end of this extravagant meal, we're left with a check on our humility. 

The experiment reveals that feeding an LLM its own output is an amusing but ultimately fruitless endeavor. 

It's a reminder that despite our technological advancements, there's still a vast gulf between machine learning and genuine understanding. 

In other words, we've learned that artificial intelligence, when feasting on itself, ends up with a bad case of digital indigestion. 

So next time you're feeling adventurous in the kitchen of computation, remember this culinary journey into Computerized Cannibalism. It's a meal best enjoyed with a hearty laugh and a grain of virtual salt.



ChatGPT conversation used in the creation of this piece

For posterity, I've dumped the chat transcript below:

Me:

Write me a 1,000 word humor column on the effects of feeding an LLM its own output. Call it Computerized Cannibalism

ChatGPT:

Computerized Cannibalism: When Artificial Intelligence Bites Its Own Tail

In the cutting-edge world of artificial intelligence, we've reached new and exciting horizons. We've taught machines to play chess, drive cars, and even write these very words you're reading. But what happens when we push the envelope further and serve an LLM (Language Learning Model) a heaping plate of its own verbiage? Welcome to the tantalizing world of Computerized Cannibalism!

The Culinary Experiment

Picture a fine-dining restaurant, except instead of a seasoned chef, you have a state-of-the-art LLM. Now, instead of crafting a delicious meal from fresh ingredients, we feed the model its own words. It's like making a stew with yesterday's leftovers, only this time, the leftovers are sentences, and the stew is a bubbling pot of confusion.

The First Course: Chaos Soup

When you feed an LLM its own output, it's akin to a digital Ouroboros, the mythical serpent devouring its own tail. The question is, does this mythical beast have a taste for comedy or tragedy?

The answer, dear reader, is neither. It tends to produce a word salad that would make any vegan cry tears of joy. You might expect profound insights and wisdom, but more often than not, you'll get sentences like "The parrot danced eloquently with the philosophical toaster." A masterpiece of abstract art in word form, if you will.

The Main Course: Infinite Loop Linguini

Ah, the pièce de résistance! The main course brings forth an infinite loop of words and phrases, like a merry-go-round of madness. Imagine asking the model to describe itself, and it responds with "I am a model that describes myself as a model that describes myself as a model..." and so on, until the end of time or your patience, whichever comes first.

It's like a never-ending pasta bowl, but instead of getting more delicious with each helping, it just gets more tangled. Bon appétit!

The Dessert: Paradox Pie

For dessert, why not indulge in a slice of Paradox Pie? When you ask an LLM to analyze its own text, it might fall into a paradoxical pitfall, like a digital Escher painting. "This sentence is false." Is it true? Is it false? The LLM might just short-circuit trying to figure it out.

It's a dessert best served with a side of existential crisis and a dollop of whipped confusion.

The After-Dinner Drink: A Sip of Self-Awareness

As a nightcap, ponder this: Is an LLM truly aware of itself when analyzing its own words, or is it merely a series of algorithms performing a complex dance? It's like a robot sipping on a cocktail of ones and zeros, unaware of the taste but perfectly executing the recipe.

The Check: An Order of Humility

At the end of this extravagant meal, we're left with a check of humility. The experiment reveals that feeding an LLM its own output is an amusing but ultimately fruitless endeavor. It's a reminder that despite our technological advancements, there's still a vast gulf between machine learning and genuine understanding.

In other words, we've learned that artificial intelligence, when feasting on itself, ends up with a bad case of digital indigestion.

So next time you're feeling adventurous in the kitchen of computation, remember this culinary journey into Computerized Cannibalism. It's a meal best enjoyed with a hearty laugh and a grain of virtual salt.

Bon appétit, dear reader! Enjoy the endless buffet of binary bites, and don't forget to tip your virtual waiter.