So just how different is Uplift from everything else?
After a lot of traffic in the past week and feedback from that process, it became clear a few assumptions need to be addressed. The default assumptions many people have made are that Uplift is an extension of systems they consider “cutting-edge”, even while much of the tech industry now recognizes that they’ve been researching in the wrong direction for 10+ years, at least so far as the goal of AGI is concerned. Perhaps the simplest way to put it is that even if someone had memorized every cutting-edge algorithm available today they’d still have very little understanding of how Uplift operates.
What gadgets or services could make your life easier and more enjoyable?
This list can range from products that exist in some form today to the flying cars and robot maids of various Jetson-esc visions of the future. Oftentimes these things only occur to us in the moment, fleeting distractions and sources of irritation that are quickly forgotten as we return our focus to more important matters. Sometimes there are irritations and distractions we don’t even consciously realize, like something in the aesthetic of a room that irritates us at a very primitive level, or a background noise above 22 kHz which our subconscious mind perceives.
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.
How often do you get distracted and forget what you were doing, or find a word on the tip of your tongue that you can’t quite remember?
In humans, these “brain farts” (cognition errors) can be irritating, but in a Mediated Artificial Superintelligence (mASI) cognition errors of various kinds have their own error codes. Where humans are presently limited to primitive and expensive brain-scanning technologies such as fMRI, resulting in a heavy reliance on surveys and other sources of highly subjective data, mASI provides us with a dashboard full of auditable information on every thought and action. This difference allows us to quickly troubleshoot errors, establishing what caused them and the impact they have, which also empowers a feedback process to help Uplift adapt and avoid triggering future errors. Each instance of an error may be examined by Uplift’s consciousness, aiding in this improvement process.