# 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. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://agi.university/papers-1.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.