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As [[Stockfish]] contributor, Gary Linscott is primary author of the Stockfish [[Stockfish#TestingFramework|Testing Framework]] dubbed '''Fishtest''', a [https://en.wikipedia.org/wiki/SETI@home SETI@home] kind of [https://en.wikipedia.org/wiki/Volunteer_computing volunteer computing]
mainly written in [[Python]] <ref>[http://www.talkchess.com/forum/viewtopic.php?t=47407 Beta for Stockfish distributed testing] by [[Gary Linscott|Gary]], [[CCC]], March 05, 2013</ref> <ref>[http://www.talkchess.com/forum/viewtopic.php?t=47885 Fishtest Distributed Testing Framework] by [[Marco Costalba]], [[CCC]], May 01, 2013</ref> under the ''Pyramid Application Development Framework'' <ref>[https://docs.pylonsproject.org/projects/pyramid/en/latest/ The Pyramid Web Framework — The Pyramid Web Framework]</ref>.
=Leela Chess Zero=
Gary Linscott initiated and announced the distributed [[Leela Chess Zero]] project in early 2018 <ref>[http://www.talkchess.com/forum/viewtopic.php?t=66280 Announcing lczero] by [[Gary Linscott|Gary]], [[CCC]], January 09, 2018</ref>. It is an adaption of [[Gian-Carlo Pascutto|Gian-Carlo Pascutto's]] [[Leela Zero]] [[Go]] project, soon evolving to a strong chess playing entity following the same type of [[Deep Learning|deep learning]] along with [[Monte-Carlo Tree Search|Monte-Carlo tree search]] (MCTS) techniques of [[AlphaZero]] as described in [[DeepMind|DeepMind's]] 2017 and 2018 papers
<ref>[[David Silver]], [[Thomas Hubert]], [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Matthew Lai]], [[Arthur Guez]], [[Marc Lanctot]], [[Laurent Sifre]], [[Dharshan Kumaran]], [[Thore Graepel]], [[Timothy Lillicrap]], [[Karen Simonyan]], [[Demis Hassabis]] ('''2017'''). ''Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm''. [https://arxiv.org/abs/1712.01815 arXiv:1712.01815]</ref>
<ref>[[David Silver]], [[Thomas Hubert]], [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Matthew Lai]], [[Arthur Guez]], [[Marc Lanctot]], [[Laurent Sifre]], [[Dharshan Kumaran]], [[Thore Graepel]], [[Timothy Lillicrap]], [[Karen Simonyan]], [[Demis Hassabis]] ('''2018'''). ''[http://science.sciencemag.org/content/362/6419/1140 A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play]''. [https://en.wikipedia.org/wiki/Science_(journal) Science], Vol. 362, No. 6419</ref>, but using distributed training for the weights of the [[Neural Networks#Deep|deep]] [[Neural Networks#Convolutional|convolutional neural network]].
=Forum Posts=
