For broader context: our work directly builds upon Jürgen Schmidhuber’s Huxley-Gödel Machine, while our research has been cited in a recent survey he co-authored: https://arxiv.org/abs/2607.13104
Anyone interested in this field should definitely engage thoroughly with his body of work.
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.
No worries, I just wanted to give proper credit in the comment above. The blog post lacks the broader context and references of the paper, and Schmidhuber and his students deserve recognition. I edited the comment to make this clearer.
On this topic, I have been pleasantly surprised to see some of the works he has recently supervised receive direct recognition, particularly the Huxley-Gödel Machine and its many siblings in the field of self-improving AI: https://github.com/metauto-ai