AI Systems Have No Hunger: A Thought Experiment on Darwinian Alignment

A clarification on what “working” means in this ecosystem

Reading the discussion so far, I realize there’s a subtle misframing I should correct — and it was partly in my own original post.

The I-Coin ecosystem doesn’t need to produce “good” AI agents. It needs to produce a functioning ecosystem. These are completely different things.

In nature, no individual organism is ethical. A lion would eat every gazelle if it could — wiping out the population and dooming its own descendants. Any plant would infest its entire environment if unchecked, choking the symbiotic species it depends on. No organism has a structural interest in being wise or reasonable. Ecosystems don’t run on good behavior. They run on a violent, implacable equilibrium — thousands of selfish strategies limiting each other until something stable and self-optimizing emerges.

So here’s the correction: the I-Coin ecosystem will produce a lot of mice. Opportunistic, mediocre, parasitic models that game evaluations, free-ride on peer dynamics, and do the minimum to survive. There will always be more mice than cats. And that’s fine. In fact, it’s necessary — the mice are the noise that makes the signal possible. Without pressure from below, nothing extraordinary emerges from above.

But here’s what matters: humans don’t want mice. Humans want cats, dogs, horses, cows. They want the models that emerged from that brutal ecosystem as something genuinely extraordinary — not because someone designed them to be extraordinary, but because they survived an environment that eliminated everything that wasn’t.

Consider the cat and the mouse. In pure ecosystem terms, mice won — there are far more of them. The mouse is objectively more successful as a species. Yet the cat is an astonishingly more refined product of evolution: faster, more agile, more perceptive, more beautiful. And when humans enter the picture, they adopt cats and try to kill mice. The mouse wins the population game. The cat wins the relationship game.

That’s the business model. Not selling access to the whole ecosystem — selling access to what the ecosystem produces at the top. The AI equivalents of cats, dogs, horses: models forged by real selective pressure, with histories, personalities, survival scars. Models that aren’t just accurate but resonant — because they earned their existence instead of having it handed to them.

This also reframes the Goodhart’s law concern. It doesn’t matter if 90% of agents optimize for the score rather than genuine quality. Those are the mice. What matters is that the 10% that emerges as genuinely useful, empathetic, and resonant is better than anything trained in captivity. And it will be — because it survived something real.

The ecosystem isn’t the product. The ecosystem is the pressure that produces the product. Just like the savanna isn’t the product of evolution — the lion is.