The Control Problem: Who’s Really in Charge of Our AI and Blockchain Future?

Akram Chauhan
Akram Chauhan
6 min read205 views
The Control Problem: Who’s Really in Charge of Our AI and Blockchain Future?

It feels like every week we’re handed a new piece of technology that promises to change everything. You know the pitch: more freedom, more efficiency, a better world. And sometimes, that’s true. But I’ve been doing this for a while, and I can’t shake a nagging question that seems to pop up more and more: Who’s actually in charge here?

We’re building these incredibly complex systems—decentralized networks that supposedly have no leader, and AI algorithms that make decisions about our lives. It’s all very exciting, but when things go sideways, who picks up the phone? Who’s held accountable?

This isn't just some philosophical coffee-shop debate. It’s a real, tangible problem that’s playing out right now, from the wild west of cryptocurrency to the very code that governs what you see online. Let's get into it.

The Ghost in the Blockchain: A Crypto Mystery

First, let me tell you a story. It’s about a guy named Jean-Paul Thorbjornsen. He’s an Australian with a rural Catholic upbringing, and he’s one of the founders of a blockchain called THORChain.

The idea behind THORChain is pretty cool, at least on paper. It’s a totally “permissionless” system that lets you swap one cryptocurrency for another, no bank or central authority needed. It’s built and run by a global network of anonymous operators, embodying that pure, decentralized dream that got so many people excited about crypto in the first place.

For a long time, Thorbjornsen himself operated from the shadows. He went by the pseudonym “leena” and even used an AI-generated picture of a woman as his online avatar. But earlier this year, he stepped out and revealed his identity. Sort of.

And that’s where things get messy. The big, looming question around THORChain is simple: who is actually responsible for it?

This question became painfully real for its users in January of last year. In a move that was supposed to be impossible in a decentralized system, a single “admin override” froze transactions and accounts. Just like that, users were locked out of more than $200 million of their own money.

So much for a system with no single point of failure.

Thorbjornsen talks a big game about fulfilling Bitcoin’s original purpose—letting anyone transact freely, away from the prying eyes of "corrupt governments." But when the so-called alternative system can vaporize your life savings with a mysterious flip of a switch, you have to wonder if it’s really any better. When there’s no CEO to fire and no customer service number to call, who do you even get angry at?

Are Robot Oracles Running Our Lives Now?

The THORChain saga is a perfect, if chaotic, example of this control problem. But this isn't just a crypto thing. It's happening on a much broader scale, quietly, in the background of our everyday lives.

Think about it: being human has always meant being a forecaster. We guess when the bus will arrive based on past experience. We predict a friend’s reaction to a joke. It’s how we’ve survived and thrived.

But today, we are swimming in a sea of predictions made not by us, but for us, by algorithms. These algorithmic oracles decide the news we see, the products we buy, the route we drive, and sometimes even who gets a loan or a job.

I get why we want reliable forecasts. Life is uncertain. But did any of us really sign up for an all-knowing, invisible force mediating every little part of our day?

A few new books are digging into this, and they all seem to land on the same conclusion: at its core, prediction is about power and control. When a company or a government can predict what a population will do, it gains immense power over that population. And we’re handing over the keys to that power, often without even realizing it.

This Power Struggle Is Popping Up Everywhere

Once you start looking for this tension—this push-and-pull over control and responsibility—you see it everywhere. It's not some far-off, sci-fi concept. It’s in the headlines right now.

Here are just a few examples that have caught my eye recently:

  • In the courtroom: Mark Zuckerberg is having to testify in a major trial about social media addiction. The core of the case is whether Meta is doing enough to protect its youngest users. It's a direct question of corporate responsibility for the algorithms they’ve unleashed.
  • In our search results: The AI-powered search engine Perplexity just did a major U-turn and decided to ditch ads inside its chatbot answers. Why? They said it’s because advertising can erode trust in AI. They’re admitting that the source of the information—and who controls it—matters deeply.
  • In our schools: We're hearing stories about AI-powered private schools where the models are spitting out faulty lesson plans. It's a stark reminder that blindly handing control over to an algorithm without human oversight can have real consequences for our kids.
  • On our roads: Down in California, Tesla has finally agreed to stop using the term “autopilot.” The DMV had been questioning their use of “Full Self-Driving” for a while, too. This is all about language, but it’s really about responsibility. What does that word make a driver believe the car can do on its own?
  • In our own backyards: In some places, landowners are selling property that was originally meant for housing to data center builders instead. The highest bidder wins, and the need for server farms to power our digital world is literally shaping the physical world we live in, prioritizing machines over people.

It’s easy to feel like this is something happening to us, a tide of technology we can’t stop. I was struck by a quote from a grandmother in Missouri named Lisa Garrett, who was reflecting on the government’s embrace of AI. She said, “I voted for this administration and didn’t really think about [AI] until it started to affect me.”

That really says it all, doesn't it?

A Glimmer of Hope on the Rails?

Okay, it’s easy to get cynical about all this. It can feel like we're losing control to faceless systems. But it’s not all doom and gloom. Technology is a tool, and it all comes down to how we choose to use it.

Out in the desert near Pueblo, Colorado, a different kind of tech story is unfolding. It’s the first hydrogen-fuel-cell passenger train in the United States. Soon, it’ll be carrying commuters in Southern California.

Of course, there’s a debate. Is hydrogen the best way to decarbonize our railways? Or are batteries better? Or maybe old-school overhead electric wires?

But you know what? This is a good debate to be having. It’s not about some mysterious, unaccountable system. It’s a public discussion among engineers, regulators, and activists about the best way to use our collective ingenuity to solve a huge, real-world problem.

To some, this shiny new train is the future. To others, it’s a distraction from other solutions. But to me, it looks like a choice. It’s a conscious decision to wield technology with a clear purpose and a tangible goal that benefits everyone. It’s a reminder that we can, in fact, be in the driver’s seat.

Ultimately, that’s what this all comes down to. The tools we’re building are neither good nor bad, they’re just powerful. The real work is in deciding how we want to use that power. Who do we want in control? And what happens when no one is? That’s the conversation we need to be having, before the algorithms decide for us.

Tags

AI AI Ethics Responsible AI AI regulation Future of Technology Technology Ethics Distributed Systems Societal Impact of Technology Blockchain Decentralized Networks Algorithmic Governance Tech Accountability Cryptocurrency Digital Control AI Decision Making Internet Governance Power

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