Our Human Superpower is Now a Curse Word
I’m an ornery hermit. I live in a log house miles from the nearest human and further from a cell signal. I don’t interact with other apes in person more than twice a month if I get my druthers. I do it for their sake, not mine. My personality is abrasive; nobody should be subjected to it.
Like a child, I ask "why" about everything lacking an explanation. Unlike a dog, I refuse to memorize the thoughts you want me to just because you said so. I won't accept "I don't know" or "that's just how it is." If a process or system doesn't make sense at this exact point on the timeline, it’s unacceptable.
We’re squandering our greatest human gift by beating that curiosity out of our emerging adults. We replace the "why" with an "education" system built on the "memorize then test" pattern of indoctrination.
The Tamara Trajectory
Imagine we didn't do that. Imagine you fostered that curiosity in a child, let's call her Tamara. You skip the indoctrination and focus on the scientific method and tools for parsing objective reality from a world of noise.
Fast forward 30 years: Tamara is the CEO of a Fortune 1000 BioTech company.
Day One: She looks at the org chart. It makes no sense.
The Question: "Why do we organize this way?"
The Answer: Nobody has one.
The Realization: Every industry uses the same command-and-control hierarchy: banks, oil, manufacturing. That's not optimization, that's lack of innovation and imagination.
Tamara realizes that businesses in 2026 are still running in organizational silos designed for the assembly line of the Industrial Revolution. We took a non-optimized factory floor management style and slapped it over knowledge work without ever asking why. Then we smashed that 'follow button' yo! (yes, our species is sad).
Because Tamara still has her "why," she can actually fix the problem instead of just managing the symptoms. Be like Tamara. Don't be a dog. Ask why.
Within our portfolio of companies, we're taking Tamara's lead. We're asking why, then asking again and again, until we find the right problems to solve.
Right now, we’re focused on why Al projects fail 80% of the time despite billions in investment. The answer isn't "better AI." It’s a "dirty data" problem that everyone is trying to ignore. I f'ng love 'why'.
