Carl Hewitt is the inventor of the actor model of concurrent computation.<p>See paper: <a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3428114" rel="nofollow">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3428114</a><p>Project Liftoff(TM) to develop and deploy UIS in this decade stands to be a huge development effort comparable to the Apollo Project. Education will be crucial to the success of Project Liftoff because there is an enormous talent shortage.<p>US has yet to commence Project Liftoff, but there is a growing consensus that a large effort is required to address issues of universal Integrative Intelligent Systems. China is racing to develop its own indigenous universal secure intelligent systems as rapidly as possible [Liu, 2020, Cheng, Feifel, and Shuia 2019, Xin and Chi-yuk 2018, China State Council 2017, Lewis and Litai 1988. Evan Feigenbaum 2003].<p>Discursive(TM) is a proposed architecture for universal Integrative Secure Intelligent Systems with the following technology stack:<p>• Actor myriad-cores architecture with: ActorScript(TM) for massive robust concurrency, strongly-typed without extra tag bits architecture to protect security of Actors including dynamic relocation and automatic pause-less storage reclamation, 10ns average communication latency to provide quick response time to users<p>• Services for underlying operations, e.g., interoperation with datacenters and other Citadels<p>• Massive Inference-Robust Ontology [Guarino and Musen 2015, Hewitt 2016-2019] for operations on massive amounts of pervasively inconsistent information including statistics and correlations<p>• Matrix [Bender, Flickinger, and Oepen 2002, Bender et. al. 2010] for discourse, rhetoric and narratology<p>• Experiences [Gurman 2017, Mundy 2016, Shapiro, et. al. 2015] for collaborations, gestures, video, etc.<p>• Citadels [Hewitt 2019] for increased performance and robustness with no single point of failure and rectifying mistakes ASAP<p>The Discursive(TM) system outlined in this article can enable Universal Intelligent Systems by 2030. The task for the proposed project Liftoff is to implement the Discursive system.<p>Discourse Technology is enormously more powerful than Correlation Technology (e.g., “Deep Learning”), which will not by itself produce Universal Intelligent Systems in this decade.