A Nonsensical Hypothesis for a Nonsensical Era: What "6 7" Teaches Us About Meaning-Making

I recently developed what I thought was a brilliant theory about Gen Alpha's "6 7" phenomenon. I hypothesized that this cryptic phrase represented the homogenization of culture in the AI age; i.e. the negligible difference between 6 and 7 mirroring how everything feels increasingly sampled from the same five large language models. It was poetic. It was profound. It was completely wrong. 

As it turns out, "6 7" originated from a drill rap song and basketball memes. Kids aren't making philosophical statements about AI-generated sameness. They're just yelling numbers at their teachers because it's funny. Dictionary.com even named it their 2025 Word of the Year, celebrating its status as "nonsensical and playfully absurd." 

But here's the thing: my failed hypothesis might be more interesting than if I'd been right. 

The Meaning-Making Machine

We humans are relentless pattern-seekers. Show us randomness, and we'll find constellations. Give us noise, and we'll compose symphonies. Present us with kids shouting "six seven" in homeroom, and we'll write articles theorizing about late-stage capitalism and algorithmic culture. 

This impulse isn't a bug, but our most valuable feature. Every major insight in business, technology, and culture started with someone saying, "What if this random thing actually means something?" Sometimes they're right. Often they're hilariously wrong. But the exercise itself? That's where innovation lives. 

The 6 7 Principle

So let me propose a new framework: The 6 7 Principle. When faced with something that seems meaningless, we have two options: 

Option 6: Accept it as meaningless and move on. Efficient. Practical. Boring. 

Option 7: Dive deep into the meaning-making rabbit hole, construct elaborate theories, and learn something valuable even when you're completely wrong. 

The difference between 6 and 7? Negligible in outcome, profound in process. 

My AI-homogenization theory was nonsense, but developing it forced me to think harder about authenticity in the age of generative AI, about how algorithmic feeds shape culture, about the tension between scale and originality. Those questions remain valuable even if "6 7" isn't the answer to them. 

The Professional Application

In business, we're constantly trying to decode signals from noise. Which trends matter? Which customer behaviors reveal deeper truths? Which market shifts are temporary brain rot versus genuine transformation? 

We'll be wrong more often than right. But the organizations that win are the ones that keep hypothesizing, keep questioning, keep trying to find meaning in the chaos, even when the chaos is just teenagers being teenagers. 

So here's to nonsensical hypotheses. Here's to reading too much into things. Here's to the beautiful human compulsion to make meaning where none exists. 

And here's to Gen Alpha, reminding us that sometimes the answer to "what does it all mean?" is simply: 6 7. 

What nonsensical concepts are you trying to decode?