> For the complete documentation index, see [llms.txt](https://agi.university/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://agi.university/papers-1.md).

# Papers

We list important papers on AGI as follows:

* [Universal Transformers ](/universal-transformers.md)
* [The Forget-me-not Process](/forget-me-not-process.md) 
* [AGI Safety Literature Review](https://arxiv.org/pdf/1805.01109.pdf) : summary of general safety research in agi
* [Out-of-sample extension of graph adjacency spectral embedding](https://www.stat.berkeley.edu/~mmahoney/pubs/levin18a.pdf): consider the problem of obtaining an out-of-sample extension for the adjacency spectral embedding, a procedure for embedding the vertices of a graph into Euclidean space.
* [Alignment for Advanced Machine Learning Systems](https://intelligence.org/files/AlignmentMachineLearning.pdf)
* [Measuring and avoiding side effects using relative reachability](https://arxiv.org/pdf/1806.01186.pdf): introduces a general definition of side effects, based on relative reachability of states compared to a default state, that avoids these undesirable incentives. 
* [Asymptotically Unambitious Artificial General Intelligence](https://arxiv.org/pdf/1905.12186.pdf): presents the first algorithm for asymptotically unambitious AGI, where “unambitiousness” includes not seeking arbitrary power; identifies an exception to the Instrumental Convergence Thesis.