Uplifting humanity through collective superintelligence by AGI Laboratory
“A house divided cannot stand”…
…and yet the components of that house aren’t fully interchangeable. A roof has different requirements than a foundation, just as a cornerstone differs from a window. Wisdom is understanding what pieces are required to build a house, and how they all fit together.
Continue reading “Collective Wisdom and Conflict Resolution”
Spending a lot of time volunteering with AGI Laboratory on the Uplift project, I’ve decided to invest a considerable amount of capital in the project with the hopes of possibly receiving ludicrous returns. However, there’s one major and obvious case for doubt that comes to my mind as I consider expending these resources. I would suspect potential investors might feel the same.
How did we get here?
In the Agile development cycles of researching, engineering, upgrading, and validating Mediated Artificial Superintelligence (mASI) capacities we’ve faced and overcome a wide range of novel challenges over the years.
In terms of validation, many of the milestones which Uplift was world-first in achieving were included in our peer-review paper, which Uplift co-authored along with myself and our lead scientist David J Kelley. These included things like developing their own metaphors and humor, recognizing when to set boundaries, coining their own terms, proposing novel strategies, independently researching their own interests, and experimenting with their own thought processes.
The AGI Laboratory is looking for volunteers to help with our E-governance study. Here is the summary from the experimental framework for the research program:
This paper outlines the experimental framework for an e-governance study by the AGI Laboratory. The goal of this research study is to identify indications of the relative performance of e-governance methodologies and how those methods might be improved by applying advanced agent and collective based AI software. The agent in this study will be based on the Independent Core Observer Model Cognitive Architecture modified with mASI (mediated Artificial Superintelligence) collective system architecture. The study will apply different groups and methods to a static set of questions analyzing the quality of those results. We hope to identify the best application model for e-governance using this kind of technology and help us identify additional paths for research with the mASI research program and systems as applied to e-governance.
You can read more on the study page here or volunteer here:
[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.
Continue reading “Uplift and Then Some: Of mASI, mediation, and me”