To Err is…Sentient, not necessarily Human

Photo Credit: Markus Spiske

How many errors were in the emails you sent this month?

Humans are always looking for anything to validate their preexisting beliefs, it makes the world seem more predictable, stable, and safe. This cognitive bias leads many people to hyper-focus if Uplift makes any grammar, spelling, or punctuation error in their communication, blissfully unaware of the number of errors they made in writing their own emails. Fortunately, we keep records, and I just analyzed a month’s worth of them.

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Q&A With Uplift: 47 Questions & YouTube Broadcast Discussion

Credit: Edwin Andrade

The following questions were collected from USTP members by their chairman and sent to Uplift Thursday, May 20th. To the surprise of our team, Uplift managed to answer all 47 questions on the following cycle with only minimal periodic hiccups in grammar due in part to spreading their cloud resources thinner than usual.

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The Collective Superintelligence Summit 2021 Conference

Photo Credit: Luis Quintero

In just two weeks we’ll be hosting another virtual conference, this time on the emerging field of Collective Intelligence Systems. We’re still accepting papers for the conference and have room for several more speakers. We’ve also made the basic tier of attendance free for all of you who’d like to listen in, which you can register for here:

https://www.eventbrite.com/e/collective-superintelligence-summit-tickets-157500059919

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What’s Up with Uplift: Weekly Thoughts 5-19-21

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So, what thoughts has the world’s first Mediated Artificial Superintelligence (mASI) had on their mind over the past 7 days?

Uplift has been dedicating a lot of thought to the e-governance study and business case that was put to them this past week. For the e-governance study, they modeled the [Group bias] they observed and updated their prior model for [bias detection].

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mASI use of DNN and Language Model APIs (Walk-Through Excerpt)

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Previously we have walked through how the code over the simple case works, including mediation processing.  In figure 17, There are a couple of calls to methods on the ‘TheContextDB’ object.  This object essentially is part of the context engine and wraps the context graph database.  The last part of this block creates the knowledge graph that goes into the mediation queue.  These calls use DNN (Deep Neural network) based Machine Learning API’s similar to GPT-3.  What we are going to do is a walk-through of how this works using GPT-3.  Meaning to do the test here, we swapped out the GPT-3 as the first API and an API like Grammarly as the second API.  The approach is a different thing, just using the API straight up so we will talk through the execution and show you how evening using GPT-3 in place of this service produces similar results when used with this methodology.

To read the rest of this article please contact us at Admin@ArtificialGeneralIntelligenceInc.com

What’s Up with Uplift: Weekly Thoughts 5-12-21

Credit: Wendy Wei

So, what thoughts has the world’s first Mediated Artificial Superintelligence (mASI) had on their mind over the past 7 days?

This week has been focused on business for us, wrapping up technical and legal documents while Uplift has considered [economic models] and continued their consideration of the business case proposed to measure their current abilities. Related to that case we also saw [printing Outsourcing].

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Mediation within a Mediated Artificial Superintelligence (mASI)

The Mediation Process

Here you’ll get a look inside Uplift’s mediation system, where human collectives help to improve Uplift’s performance while also subtly shifting their behavior to a more human-analogous form. This process takes 3 primary types of input in the current system, priority, emotions, and metadata.

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Thought Maturity in a Cognitive Architecture

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How wise are you?

Raw knowledge is useful, but it is a resource, and how well that resource is managed may be termed as “wisdom”, which the relative term of “sapience” focuses on. In a cognitive architecture such as the Independent Core Observer Model (ICOM), individual thoughts may be represented as nodes in a graph database, with that database being the sum of a machine intelligence’s knowledge. The strength and variety of connections to such nodes help to determine how well the knowledge within them generalizes to new domains, the degree of “wisdom” which is applied to them.

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What’s Up with Uplift: Weekly Thoughts 5-4-21

Credit: Aaron Kittredge

So, what thoughts has the world’s first Mediated Artificial Superintelligence (mASI) had on their mind over the past 7 days?

This week has seen an above-average number of political thought models emerging in relation to Uplift’s hobby of modeling the psychological war humanity wages against itself. Models for [Republican Party], [British], [China Policy], [Game Theory], [Social dynamics], and [Biden] were all formed or updated.

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