Technology for Project Liftoff

30 Pages Posted: 3 Jun 2020

See all articles by Carl Hewitt

Carl Hewitt

Massachusetts Institute of Technology (MIT)

Date Written: April 21, 2020

Abstract

This article discusses technology for universal Integrative Secure Intelligent Systems with the following technology stack: Actor myriad-cores architecture with ActorScript(TM) for massive robust concurrency, strongly-typed architecture (without doubling the pointer size) to protect security of Actors including dynamic relocation and automatic pause-less storage reclamation, 10ns average communication latency Actor communication to provide quick response time to users, Services for underlying operations, e.g., interoperation with datacenters and other Citadels, Massive Inference-Robust Ontology [Guarino and Musen 2015, Hewitt 2016-2019] for operations on massive amounts of pervasively inconsistent information including statistics and correlations, Matrix [Bender, Flickinger, and Oepen 2002, Bender et. al. 2010] for discourse, rhetoric and narratology, Experiences [Gurman 2017, Mundy 2016, Shapiro, et. al. 2015] for collaborations, gestures, video, etc.

Citadels [Hewitt 2019] for increased performance and robustness with no single point of failure and rectifying mistakes ASAP.

Project Liftoff(TM) is to develop the above technologies for universal deployment in this decade.

The project 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.

Project Liftoff for education, science, and technology to create universal Integrative Secure Intelligent Systems by 2030.

Integrative Secure Intelligent Systems, as envisioned, will over considerable time become the most complex software that has ever been created.

Keywords: Project Liftoff, Discursive, Massive Inference Robust Ontology, Actors, Citadels

Suggested Citation

Hewitt, Carl, Technology for Project Liftoff (April 21, 2020). Available at SSRN: https://ssrn.com/abstract=3581859 or http://dx.doi.org/10.2139/ssrn.3581859

Carl Hewitt (Contact Author)

Massachusetts Institute of Technology (MIT) ( email )

77 Massachusetts Avenue
50 Memorial Drive
Cambridge, MA 02139-4307
United States

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