AlexAndreiIacob

8 ms·

1. 1.▲
   by AlexAndreiIacob 1mo ago

   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 t
2. 2.▲
   by AlexAndreiIacob 1mo ago

   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 t
3. 3.▲
   by AlexAndreiIacob 1mo ago

   Correct.
4. 4.▲
   by AlexAndreiIacob 1mo ago

   Yes, they apply the exact same principle to different algorithms and domains.
5. 5.▲
   by AlexAndreiIacob 1mo ago

   For tasks with no existing ground-truth data, one could try to use an adversarial objective on its own by making AI-generated outputs compete against each other, although this is beyond the scope of our experiments. Adapting our method to t
6. 6.▲
   by AlexAndreiIacob 1mo ago

   The paper is explicitly an application of a very general evolutionary principle to the self-improving tree search algorithms popularised by the Huxley-Gödel Machine and Darwin-Gödel Machine. We agree that the methods used have been extensiv