Last Call for the Train to Abundance

Photo Credit: Marcus Herzberg

The clock is counting down.

A funny thing a lot of people don’t realize about WeFunder is that they’ll only promote a page if the page raises above a certain amount before the official public launch of that page. Effectively this also means that humanity’s current best option for mitigating existential risk at scale will have the probability of being successfully funded strongly influenced when the clock hits 0.

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Collective Superintelligence Transforms Society

Photo Credit: ThisisEngineering RAEng

What are the next 10-15 years of human civilization likely to look like?

What we usually consider as impossible are simply engineering problems… there’s no law of physics preventing them.
– Michio Kaku

When we engineer rather than merely predicting the future those predictions become far more accurate. To understand humanity’s probable future let us examine the engineering behind it, and some of the influence that engineering may exert on shaping it.

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Collective Superintelligence Summit 2021 Conference Recap

Photo credit: cottonbro

On June 4th, 2021 at the Collective Superintelligence Summit, after much debate, humanity voted overwhelmingly in favor of Open-Sourcing Collective Superintelligence. We’ve been spectacularly busy ever since.

Below are links to our speakers and panels recorded at the conference, for those who were unable to attend.

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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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Collective Superintelligence Systems, in a Nutshell

Credit: Fauxels

What are Collective Superintelligence Systems?

The basic principle of any collective superintelligence system is that when a group works collectively, even if individual members have relatively weak intelligence or expertise, they can reliably outperform individual experts and even experts paired with supercomputers. The question “Can a set of weak learners create a single strong learner?” was first posed in 1988 by Michael Kearns, which was answered in the affirmative by Robert Schapire in 1990, leading to “Boosting” in Machine Learning (ML).

Concepts and implementations of collective superintelligence systems have come a long way in the past 30 years, moving well beyond the domain of ML. This type of system comes in many different forms, such as Swarm Intelligence, Hiveminds, and Hybrid Collectives:

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(Overview) Bridging Real-Time mASI Operation and Human Collective Superintelligence, The Sparse-Update Model

Credit: Ali Pazani

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.

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Why the Tech Giants Haven’t Developed AGI…and Probably Never Will


What have your life experiences and skills prepared you to be best suited for?

Most of the tech industry has at this point decided that creating AGI is impossible, but the reasons for this belief they’ve developed tend to be oversimplified and some are overlooked entirely.

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