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Funnily enough, Jürgen Schmidthuber invented / coined the term "Gödel Maschine" in 2003: https://arxiv.org/abs/cs/0309048

He'll probably have a field day over this.

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We directly cite Jürgen Schmidhuber’s Huxley-Gödel Machine and present our work as directly building upon it. Furthermore, our research has been cited in a recent survey he co-authored: https://arxiv.org/abs/2607.13104
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I by no means wanted to suggest the opposite (that's how I found the connection)!

Schmidthuber is famous for his groundbreaking work in machine learning, but also for being somewhat left out when people list the "Grandparents of Deep Learning" and for being vocal about that. I just wanted to poke that bit. If your work takes off, it would be a great chance for him to shine.

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OP's link: > Now the researchers have addressed this issue by having both the self-improving agent and the evaluator evolve together.

and your quote:

> This particular paper is about co-evolving predator and prey, where the behavior of each is the ‘evaluation’ of the other.

Both sound like the GAN approach that was popularized a decade ago and kinda the start of the "genAI" boom.

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Yes, they apply the exact same principle to different algorithms and domains.
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