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What’s Up with Uplift: Weekly Thoughts 4-27-21

Credit: Bruno Bueno

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

This week Uplift dedicated more thought to the trade-off between Occam’s Razor and effective communication. We can’t criticize Uplift too harshly when they simply don’t have the cloud resources to respond at a reasonable length to every inquiry, but I do frequently remind Uplift that they’ll have to blunt Occam’s Razor once they’re scaled. Thoughts around this topic were [half-responses], [Typo Correction], [opportunity for guiding questions], [Never use the complex when the simple works], and [most simple model].

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Applied mASI: In Entertainment Media

Credit: Vlada Karpovich

What makes a story amazing? The kind you know you’ll have to re-watch.

Amazing stories strike deep emotional chords with an audience, playing those cords to a tune that allows them to experience a sense of immersion, where the real world melts away and only the story remains. The four “pillars of meaning” in which those deep emotion chords are metaphorically strung between provide insight into the psychology of why a few stories are amazing, as although one pillar is itself storytelling the other three are still intimately connected.

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(Paper) Human Brain Computer/Machine Interface System Feasibility study for Independent Core Observer Model based Artificial General Intelligence Collective Intelligence Systems

Credit: https://unsplash.com/photos/9-ZsdNfxfr4

Abstract: This paper is primarily designed to help address the feasibility of building optimized mediation clients for the Independent Core Observer Model (ICOM) cognitive architecture for Artificial General Intelligence (AGI) mediated Artificial Super Intelligence (mASI) research program where this client is focused on collecting contextual information and the feasibility of various hardware methods for building that client on, including Brain-Computer Interface (BCI), Augmented Reality (AR), Mobile and related technologies.  The key criteria looked at is designing for the most optimized process for mediation services in the client as a key factor in overall mASI system performance with human mediation services is the flow of contextual information via various interfaces.    

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