Anybody who uses Facebook will have seen at least one ‘Friendversary’ video made by Facebook, which may or may not seem to have any relevance, but more often than not, tend towards irrelevance, more than relevance. The thing is, it is in truth, an A.I. Artificial Intelligence algorithm created video designed as a ‘Call to Action’ mechanism (share button), designed specifically to make you share to your profile or elsewhere within Facebook’s Monopolistic network. For Facebook is a Network that tries to keep its viewers within its own Matrix, (one we would all like to be free of so click the link in the word matrix to see how). Facebook and similar domans are ever more designed to prevent us the users, from leaving to visit an external website.

Facebook Friendversary

Facebook Friendversary

The Faceboook Friendversary Video is not visible to anybody unless you share it (which is what makes it a call to action banner, designed to influence You to share the A.I. Created FB Content.

The idea i believe, is that Facebook can create masses of automated content and overtake all the other major domains with all types of media (in this case, video, which would directly affect YouTube, which does not use A.I. to auto-create its’ own videos, whereas Facebook Does!).

In the case where more types of autocreated content such as Friendversaries are added, if shared as Facebook intends, and hence published and filed within search engine bot databases, will increase their amount of content within Facebook many-fold on an ever increasing ratio. There is much danger in this, for Facebook already prevents you from going to Youtube when watching a shared video within the Facebook Mobile App. Instead, it takes you to a Facebook page with the Youtube Video Inserted into the page as an iframe embedded within Facebook. But Hey, one strange thought is “Wow! what would a Friendversary video look like between two Facebook Friends who spent 5 years arguing and insulting each other publicly? And what content would the video contain?”

The Friendversary

Luckily, for now, Artificial Intelligence, is Artificial Stupidity, but could become a Content Creation Virus

‘Facebook Friendversaries’, and Autocreated videos and ‘Memories’ Albums using ‘Artificial Intelligence’ algorithms, is still in its early days, and has omitted various important factors in its algorithms, such as making the assumption that the date of when a photo was taken has relevance enough to add to an album of ‘memories’ when in truth, we don’t just take photos with our device camera, and we also download images to the camera roll of our devices from the internet in a browser, which are dated,. We also don’t just take photos of family, rather, we make photos for work, play, official business, etc.


So the compilation algorithm for albums and videos like this ‘Facebook Friendversary’, have little chance of gaining any relevance, unless they add much more spying on the user to their datamining (which is unethical unless they pay us for the data gathered from us), and also add many more criteria for selecting images, events and other connections between ‘friends’, and the algorithm that selects which of the many ‘friends’ we add on Facebook and other networks, are true friends and relations, and which are just ‘added as friend’ type unknowns. In its current ‘state of the art’, Artificial Intelligence is in the stone age, and should be seen more as ‘Artificial Stupidity’.

I henceforth declare the danger of an artificial intelligence becoming an autocreated content viral phenomenon taking over the internet, and stealing most of the traffic for the big matrix-like self contained networks, such as Facebook, Google, MSN, Yahoo, and the like.

Below Pic; ‘Ascending Chaos – A Collage of Collages‘ (Source gentleice the deptfordian)

I also henceforth predict the evolution of social networks to become not flat A.I. generated networks on websites in a flat browser like Facebook, rather, that the Future of social networking is to become much more of a different type of platform and of a different nature, namely, the VR Experience.

Many people say that A.I. is destroying many jobs, which it is, but it is also creating new professions; Believe it or not, there are hundreds and thousands of new professions arising, as old ones die.. transformation is the only constant.

In 1900 something like 86% of america worked the land. But in the present day, something like the same, 86% (rough memory of a real statistic i learned), who worked in agriculture, now work in service industries, whilst farming has become ever more automated.

But the population increased and still people are working, in jobs which did not exist in 1900, but machines now do what people had to do in 1900 .. so the trick is in SEEING ahead that taxi drivers wont be needed when Uber has self driven flying cars, but that flying car central control office will be needing co-ordinators to manage the databases and to make sure that all lines are working in order.

And to see, that jobs like the lawyer profession, will become very much needed, because so much technology change, means we have to constantly keep up with the tech, by writing new laws to cover the legal issues new technology brings with it

As an example of this, we can already mention. Amazon Drone Delivery, Video Advertising on YouTube and Facebook, A.I. Screening of Live Video Content to prevent live suicides going viral and similar tragedies. Legal issues such as ‘can we fly drones over borders if no person is in it’?, how high can a drone fly without registering with the airport flight tower? etc…)

We need to look and to see new jobs arising, like space miners on asteroids, and mathematicians and astrophysicists, geologists for planetary excavations and astro-geology, astro-biologist, – we are now traveling to mars, and we are going to colonize it, and mine asteroids, we shall need programmers for the a.i. that does all the dirty work for us, we shall need designers for the digital goods like game add-ons, and new game levels. AS technology in VR and Augmented Reality develops, Social networking will also become a VR 3D experience where we meet up like ‘ready player one’… and FB will either be part of that, or die., VR Chat is already here on Steam and we can meet up there and be who we wanna be look like we wanna look, and live a fantasy surrogate life. If Facebook will be part of that, remains to be seen, for they appear to be thinking in Flatland.

what are algorithms?

Considering myself an auto-didact, I always taught myself everything that I know apart from the first basics which I learned in school, such As the alphabet and how to read and write, and my first basic math lessons. I do remember enjoying history as they taught it, and i believe some of the things i learned at St. Olave’s Boarding School York were the basis of my ability to apply self learning to educate myself, long after i had left school without a single qualification.

In recent years, my self education based in web programming and etymology and lateral thinking, i became very obsessed with educating myself about how Artificial Intelligence may be developed and applied in the present and future, both near and far

The story of Google Deep Mind’s Alpha Go beating an 18 times world champion at the world’s most complex and difficult boardgame GO, rose my interest as to thinking both how the A.I. learns from its own mistakes, how it predicts, and how in game 4 of 5 rounds, the Korean master managed to cause a memory overload by making the A.I. need to look further ahead in the number of moves as it was programmed to do, and tax its own computing power to the point where it became confused.

In my early years when the rest of the kids were playing Basketball or Rugby or Cricket or whatever, i would go to the Library and read Asronomy Books. Computing was not a topic one could find in school libraries in the mid seventies, otherwise i may have interested myself for that as much as i interest myself for algorithms, computing and Artificial Intellligence, in relation with Nature’s Natural Algorithm of Self Learning which we call ‘Darwinian Evolutionary Theory’

I refused to go to school at the age of 13, and didn’t go back until the final term of my 15th year of life. As the exams came up after 2 years of absence, and being in a Cambridge based educational comprehensive state school after having left an Oxford based Jesuit Boarding school in Malta, I walked in with a new tattoo on my arm, and my sleeves rolled up, signed the exam sheets and left them empty, and walked out.

Walked Out of the Exams Without Fillling in a Single Question and Signed my Name

So what does all of this have to do with algorithms? I hear you asking; All I can say to you in answer is “absolutely everything”

Let’s start with the classic scientific definition and current public understanding of the world algorithm in the IT Computing world;

An algorithm is Math based set of instructions which depend on sets of functions, variables, and priorities. An Artificial Intelligence algorithm however, no longer needs the Human to continue teaching it (although Humans will interfere and add code to improve the algorithm when a runtime error or inacccuracy or inefficiency is detected).

Below is an old GCE level computing algorithm tutorial, which even if you dont understand code and computing, will begin to give you an idea about how an algorithm can be built upon.

Perhaps you can then imagine how a point can be reached in the programming, where the machine itself can be set to learn from its own set of varied experiments and attempts to solve or execute programs.

For example, an analytics algorithm could be built in with a runtime error log which would then be combined as machine learning database information after reboot, and the machine would use its ‘memory of the experience’ to avoid making the same mistake twice. But algorithms are not merely computer based, for if Mathematicians are right, it is the process of Evolution itself which uses self learning algorithms in the same way an A.I. program does.


A further calculation program to analyse alternative possible fails and runtime errors which may occur through similar scenarios would then also be run, and with a series of ifs, and whens, buts and thens, the machine would learn to make the most effective decisions,

The next problem in Artificial Intelligence Algorithm Programming is to decide and understand how to program a set of ethics into the system (see Arthur C. Clarke‘s Science Fiction series of books which are of Visionary Excellence, just like those of Isaac Asimov, with his ‘I Robot‘ series, which deals with the 3 laws of robotics, and is a major foundation of the philosophy of most modern Artificial Intelligence Programmers up to the present day, despite being a science fiction novel.

Arthur C. Clarke was also one of the world’s greatest Astronomical Scientists, but also wrote science fiction novels, which have shown great predictive foresight into how the future (our present day) may turn out. Isaac Asimov wrote hard science fiction. Along with Robert A. Heinlein and Arthur C. Clarke, Asimov was considered one of the “Big Three” science fiction writers during his lifetime

So what do mathematical and A.I. Algorithms have to do with Nature and Evolution?

A.I. Interfacing with Humans Controlling the Decisions over all Important Protocols.

A.I. Interfacing with Humans Controlling the Decisions over all Important Protocols. This is how we eventually circumvent the problem of how A.I. can remain under Human Control

Will the Biological Entity (Humans) merge with Artificial Intelligence?

The answer to this question is very Easy; We already are doing. Many of us speakj to Siri or Cortana or Google Assistant or similar every day for menial questions, calling up data or commanding basic actions, be it on the device within apps, or with smart home hardware technology in the home.

I can remember seeing various Science Fiction Movies where the Protagonists spoke to the ship they were traveling in or the building they were residing in, and the computer with a background  listener would perform its duties.

In those days, nobody thought o the security issues which would arise with background listening microphones and devices, and webcams, and now we stand between a heaven of Futuristic technology which could make our lives so much easier (or arguably more complicated), and a hell of a Dystopian Future with Big Brother-Like Government Agencies and Companies spying on one’s every private aspect of one’s life, be it physical, medical, mental, habitual, social behavior.. all data gathered from our actions on Facebook, Google, Twitter, Instagram, Pinterest, and so on, is gathered and analyzed using A.I. to interpret our behavior patterns using Math, This has proved efficient enough that Alpha Go could beat an 18 times world champion 4 out of 5 times in a row.

Will we Blend with Robots AND A.I.?

The answer to this is yes! this is inevitable.

How do Social Networks Use Algorithms to Process and Apply the Knowledge Gained from Our Data and Behaviours? Well, that’s a long topic, and needs many more blogposts to cover the matter properly, but I leave you with some visual food for thought below.

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