Remember the 80s? A time when a brand used to pay a six figure sum for some well-known actor to get on TV and tell us in 40 seconds or less how great the brand was?
What if I were to tell you that everything you do can be improved upon by you? That you can learn to do everything better. Nothing can exist if the mind cannot think it. Because in order for us to actually see something, much less understand it, our brain has to understand the component parts that make it possible and then compute the way that they behave in relation to each other, everything that occurs within our heads is the result of semantic connections.
News that “Bernard Madoff's victims will soon recoup another $252 million from the trustee unwinding the swindler's firm, boosting their total recovery to $9.72 billion.” raises the obvious question of how was it possible for him to dupe so many people for so long to such an extent?
When there is sufficient contact between two or more entities, over time, what started out as a Deterrence Based Trust relationship that was carefully framed by boundaries and edged with potential punishment now becomes a more equitable and better balanced Knowledge Based Trust (KBT) one.
Reality, as we know it, has become fragmented. That’s not necessarily a bad thing so stick with me for a moment. Something becomes fragmented when specific elements within it acquire sufficient weight to exist on their own forming, in the process, entire worlds as deep as the parent they split away from.
When branding is a myth that actually works a country is no different to a brand. Its reputation and perceived value combine to create the intersubjective space necessary for it to acquire power that extends beyond its true capabilities.
Machine learning is a term that’s so widely used in so many different fields of science and technology at the moment that knowing a few things about it will help demystify much of the confusion surrounding it. The questions below form a good basic introduction to the subject.
Machine Learning is slated to be as disruptive and revolutionary as the internet when it was first introduced so it’s time perhaps to visit the subject in as non-technical a manner, as possible, and unpack some of the terms that are conflated when it comes to it. For a quick introduction to machine learning and deep learning (and what the latter means) you should perhaps visit my article on it at Plus Your Business.
In the 1967 episode Arena, Captain Kirk is whisked off to a distant planet to battle a creature never encountered before by humans - a Gorn. Even during the somewhat uneven battle between Kirk and the …ahem, evil-looking reptilian creature, there is an instant translator that allows the two species that have never met before to talk to each other.
In 2016 we hardly need to be told that the web has a truth problem. Facebook is still considering ways to combat fake news, Google is still grappling with veracity in semantic search, experimenting with Knowledge Based Trust (KBT) as a means of ensuring that search is as reliable as possible in its answers.
