Arguably, the most important questions about machine intelligences revolve around how they will decide what actions to take. If they decide to take actions which are deliberately, or even incidentally, harmful to humanity, then they would likely become an existential risk. If they were naturally inclined, or could be convinced, to help humanity, then it would likely lead to a much brighter future than would otherwise be the case. This is a true fork in the road towards humanity’s future and we must ensure that we engineer a safe solution to this most critical of issues.
How do you contain a scalable superintelligent digital mind?
That used to be a difficult question, even unsolvable some 10 or 20 years ago due to a lack of evidence. Fear is an easy thing to fall into when there is no evidence to work with, however, it is time for an update.
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.