# Quanta magazine article

**URL:** <https://discourse.pushlanguage.org/t/quanta-magazine-article/1305>\
**Category:** Orientation\
**Created:** [November 29, 2018, 7:53pm UTC](https://discourse.pushlanguage.org/t/quanta-magazine-article/1305 "2018-11-29T19:53:10Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![lspector](https://sea2.discourse-cdn.com/flex016/user_avatar/discourse.pushlanguage.org/lspector/32/4_2.png) [@lspector](https://discourse.pushlanguage.org/u/lspector)\
**Post date:** [November 29, 2018, 7:53pm UTC](https://discourse.pushlanguage.org/t/quanta-magazine-article/1305/1 "2018-11-29T19:53:10Z")

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I was interviewed for [this article](https://www.quantamagazine.org/computer-science-and-biology-explore-algorithmic-evolution-20181129/) in Quanta magazine, and one of the bits that made it into the article was our [work on post-run simplification](http://cs.hamilton.edu/~thelmuth/Pubs/2017-GECCO-simplification-for-generalization.pdf).

As I say in the article, I think there’s more to be done at the intersection of genetic programming and algorithmic information theory… but I’m not sure what it is and would welcome discussion of this!