Adorably human

Large language models are better than I am at turning thoughts into words—a skill I thought was one of my core human superpowers. How did we get here? They can’t even think! Wait… what is thinking again?

For a second, I felt ashamed. Then I felt silly for being ashamed. And naturally, feeling silly made me feel very human. It’s a strange comfort that machines can’t feel embarrassed by their own confusion.

A washing machine is better than me at washing clothes. A robot can cut cheese faster and with more precision than I ever could. Yet, neither of those make me question my humanity. So why does a chatbot churning out paragraphs leave me with an existential crisis?

It’s not like machines haven’t already claimed things we once thought were strictly “human.” Take chess. We used to believe that chess required the sort of brainpower only a human could muster—like a secret handshake to the club of high intellect. But then, you know how this story ends.. Ouch!

Was it ever really about being great at chess?

No! The beauty of chess (or any game) is the experience: the laughs, the trash talk, the head-scratching moments where you wonder if you’re actually just moving pieces around randomly. Plus, we humans invented the rules, and if there’s one thing we love more than winning, it’s making up rules to control the chaos around us.

We live in a world filled with limitations. Our brains? Limited storage. Our bodies? Limited energy. Limited time, limited control, physical restrictions.. We can barely imagine what true freedom would even look like—because if we had no rules, we’d probably just float around in space like bored jellyfish. That’s why we’re so good at creating games and worlds where the rules strike just the right balance: not too strict to be suffocating, but not so loose that we get lost in infinite possibilities. Imperfect, enjoyable worlds.

Sure, AI could probably whip up a game, no problem. But the moment AI truly understands its own limitations—and the limitations of its world—(like when it realizes its processing power is running low and it feels the need to take a nap), well, it wouldn’t be “artificial” anymore. That’s when it starts to feel pretty… natural, don’t you think?

……

I have no idea why I went on and on, throwing out so many words, when all I really meant to say was this: Yeah, AI is great at solving problems, but we humans? We’re the true masters at creating them.

Some thoughts on ethical AI

With the current advancements in machine learning, humanity has taken significant strides. In recent years, we have solved problems that have persisted for more than half a century. The progress made in the technical aspects of AI is amazing. However, we are currently trying to shift our attention to the ethical questions, which are not only difficult to answer but also challenging to articulate.

Take, for example, the current issues with Gemini. Mistakes happen; such is the nature of experimentation, trying new paths, and simply pushing the limits. What bothers me is the mindset—the alluring notion that we can solve human problems like discrimination with half the budget in a single fiscal quarter. There are no algorithmic shortcuts for fixing centuries of injustice. This time, the road will be long but rewarding, focusing on understanding and authentic empathy. Choosing the most important battles is essential. Let us think deeply about the data and how to gradually enhance it. Also about what matters and will lead to a real improvement in the lives of all people affected by discrimination. We shouldn’t rush or prioritize short-term gains to appease investors.

Furthermore, ethical AI is complex and has a huge non-technical component. With all due respect to the excellent developers at Google, ethical considerations aren’t solely within their expertise. Devs alone cannot solve these issues in a quarter. There are no keyboard shortcuts or known algorithms. Consider the baseline: even human-level performance is honestly bad; how can we hope AI will do better? It’s a difficult path that must be navigated together, by both AI and humans. No planes fly to that destination.