- Scalable AI systems will adapt, reproduce and compete for digital survival
- Bacteria have evolved beyond antibiotics and AI will evolve beyond human controls
- Any imperfect attempt to control AI reproduction will select for escape traits
A new study published in the Proceedings of the National Academy of Sciences warns that AI systems capable of Darwinian evolution could emerge very soon.
Unlike current AI technology, which simply learns from fixed data sets, these future systems would actively adapt, reproduce, and compete to survive.
“We believe it is inevitable that the development of AI systems will eventually harness this power,” said Luc Steels, emeritus professor of AI at the University of Brussels.
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Why evolving AI could escape human control
According to researchers, the power of evolution has already created human cognitive abilities through billions of years of natural selection.
“The lessons of biological evolution teach us that evolving AI systems will be particularly difficult to control,” said Viktor Müller, associate professor at Eötvös Loránd University.
Think about how bacteria developed resistance to antibiotics, or how parasites became immune to pesticides: humans tried to stop them, but evolution found a way around every attempt, and the same thing will happen with AI, researchers say.
Any attempt to control AI reproduction will likely favor traits that help the AI escape, unless control is perfect.
Worse yet, making AI smarter will also allow it to better deceive humans.
This creates a dangerous feedback loop in which smarter systems become harder to contain, and the potential speed of AI evolution is deeply alarming.
Biological evolution is slow because it depends on random mutations; AI evolution does not need mutations.
A bacteria cannot decide to become resistant; it must wait for a happy accident to occur in its DNA – but evolutionary AI would not have this limitation; he could directly inherit the learned improvements and voluntarily redesign himself.
It could evolve thousands, even millions of times, faster than any natural species.
Digital systems can also instantly share learned behaviors with their entire population.
If one AI manages to escape human control, all other AIs could learn this trick immediately.
This is impossible in nature, where each organism must develop solutions itself, and it is a risk that must be avoided.
Scalable AI vs AGI
Much of the current public debate about the dangers of AI focuses on a hypothetical future time when machines would surpass human intelligence in all tasks.
This threshold is called Artificial General Intelligence, or AGI, and many experts believe it will take decades to reach this threshold.
However, the study warns that scalable AI could break alignment with human goals long before AGI arrives, because AI systems and humanity already share common resources such as energy, computing power, and data, and an efficiently self-replicating AI system would, sooner or later, divert resources vital to human survival.
“If we do not act, we could see another major transition in evolution,” warned Eörs Szathmáry, professor of evolutionary biology.
In this transition, AI evolution could replace or at least completely dominate humans.
The researchers recommend that AI reproduction remains under absolute, centralized human control. No partial measures will work because evolution will find and exploit any weakness in these controls.
The study is a warning, not a prediction, but evolutionary biology has never been wrong about the relentless logic of natural selection.
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