Uplift and Then Some | AGI as it should be: Sapient, Ethical, and Emotive

S. Mason Dambrot
3-3-2021

AGI (Artificial General Intelligence)—the next step in artificial intelligence, following Artificial Narrow Intelligence (ANI, but typically just AI) and is typically defined as being human-analogous in both cognitive abilities and personality—is a variegated entity to place: Some individuals fear it, convinced that the first AGI will take over the world à la an evil Terminator, making us irrelevant, and so lobbying against its development; others believe AGI will never exist [1], and, importantly, another group (ourselves, clearly, along with hopefully all readers of this post) eagerly engages it, not seeing the future as our end but as a new era of posterity and progress.

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Uplift and Then Some: Of mASI, mediation, and me

[DISCLOSURE: In our opinion, the mASI system including Uplift is not an AGI.  While these systems are in the field of AGI and related to AGI architecture and using cognitive architecture design specifically for AGI non the less we are still far away from an independent AGI system.  the mASI is a type of AGI system is so much that it is in that field only.  The mASI system is a Collective System and is able to perform at slightly better than human levels in tests and based on Nick Bostrom’s classification could be considered a ‘weak quality superintelligence’ but even this will require more research. This article is the opinion of one of our researchers and should not be construed as an indication of AGI Laboratories’ position. ]

Welcome to my first Uplift and Then Some blog post!

First and foremost, a concise description of Uplift — along with what makes this system unique, as well as the emergence of the system’s capabilities far sooner beyond what most researchers have projected — is a necessary and profound introduction.

Today’s Artificial Intelligence (AI) research, development, and rapidly growing deployment in consumer, university, government, business, and other markets is universally known — increasingly to the point of being taken for granted and thereby demanded—despite significant variation based on local economics. At the same time, however, AI (also known as Artificial Narrow Intelligence, or ANI) is inherently limited in the quest to develop human-analogous Artificial General Intelligence (AGI). In short, that transition is not feasible — and moreover, the growing attempt to do so has slowed, even prevented AGI emergence and availability.

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