Will Artificial Intelligence be the end of humanity?

This is a very often posed question almost everywhere. The fear is huge. Yet it is extremely unlikely.

While I understand the fear and technical risks, I’m actually seeing that real AI will bring humanity it’s biggest step forward – bigger than everything we ever experienced. More important than the discovery of fire, the wheel, the machine, the internet all together.

  1. Already in the next 30 years we will learn about ourselves our advantages and disadvantages, our skills and behavioral aspects than ever before. We will rationalize that our brain is much more than just a slow computer that can be outperformed by AI. Instead we have an amazingly creative abstraction machine that most of us are not even aware of.
  2. AI will help us, after 300,000 years of fearing hunger, be eaten by wild animals and extremely hard work, eradicate work and elevate the human mind to a new level, see Maslow’s pyramid of needs. When machines can produce everything we consume, need, want, we have time and freedom to do what we want to do.
  3. AI can do one thing we humans just cannot: Iterating trough a million or billion options of anything we need to decide in almost no time. That will help us do things with a much higher probability of success, much lower probability of failure, much better insights in impact on what we are doing and so forth.
  4. By learning that our imperfection is actually yet another perfect asset of us, we understand that evolution requires imperfection to work. This may help lower or even eradicate our fear that AI will stand up and kill us all – what a bad movie. Imperfection based evolution is the Holy Grale of our existence. Replicating that in machines is the most significant creation mankind was ever able to bring forward – beyond just inventing tools.

Autonomous Machines – where are we today? Who may advance the most?

We came a long way in the last 1 and 1/2 years since this amazing video from Maurice Conti was recorded. Artificial Intelligence made huge progress. The hardware however is actually much behind the hopes. Autonomous machines like robots lack the skills to move like humans or animals. Other autonomous machines like cars or ships still lack the all encompassing sensor technology to be truly safe. Autonomous earth bound autonomous machines like chat bots and game computing however show great evolution in their hardware technology.

The software advances are more significant: AlphaGoZero was beating AlphaGo 100 to 0 – meaning the amazing AlphaGo program, which was beating the number one Go player in the world 4:1 was now beaten 100:0 by its next generation AM. The critical part of that story is that it was able to learn everything on its own. Chinese President Xi Jinpen announced his goal to be AI leader by 2030. German Economy & Science departments expressed their desire to make AI made in Germany a globally known quality brand for AI by 2030. Approximately 1.000 times as many regular people on the street became aware of a possible social shift in mankind. grander than anything we experienced or even imagined before. Fear however is spreading at almost alarming rate now – not a place we should be in. But it’s only indirectly the fear from machines. Deep inside our subconsciousness it is the fear of our own miss doing. Not our imperfection but doing things that are simply not right – and doing so in full awareness. Outside the technology and opportunity realm, we began to learn more from the AI development about ourselves than ever before.

How important is technology for AI?

In my work on that subject, I recently had an interesting thought. Mainly when I heard that the two vocal contender China and Germany longing for attention, I asked myself what they have to bring to the party. Today’s AI leader is clearly from California. But is technology really at the core of AI? Yes, we need powerful processors and lots of memory. But AI is no longer really about technology per see. At the core of any AI system are the algorithms, complex mathematical constructs that can describe a behavior, a process, and create results for possible more algorithms. Both Germans and Chinese are pretty good at that. Further more AI is equally dependent (today) on neural network skills. A structure where lots of data get feed in, and spill out results or even directives to other algorithms. Decision making procedures are other skills AI need to employ to create meaningful results. All these skills can be found widely in Germany and Switzerland.

Sooner or later all engineers will notice that no matter how much computing power they have it will never be enough. The game of GO is a great example. The number of possible moves from start to finish is said to exceed the number of atoms in the observable universe. Any AM (Autonomous Machine) will need to calculate its best result or step to a result based on the most probable right step, accepting it may not be the best. AMs need to be FAILURE TOLERANT. With that, an AI system actually gets closer to us humans. I’ve met AI researcher in Taiwan working especially on that part of the process.

But here comes – by far – the most challenging part of AI development that is actually useful for people: What questions do we have to have an AM answer it profoundly and efficient. To make AMs do repeatable jobs like in a production company, or repeatably answer questions, even millions of different questions, from customers in a pre-sales department, or answer questions from patience regarding their possible illness. that is not so complicated. But to answer the question: “How can we help politicians, make the right decisions that are in the interest of the population – and – taking long term effects into consideration?”. Most of us do not (yet) have a firm answer. Most of us, including me can’t even articulate that question comprehensive enough for any system or human to trigger the right solution finding process. Now that is an area where Central Europeans, including Germans are actually pretty good at – maybe better than others.

Artificial Intelligence is more about asking intelligent questions to get intelligent results that putting together fine technology.

While I can continue with a few more aspects of meaningful requirements for a great AM solution, it became very apparent to me that technology keeps taking less and less a center stage position and other, social, psychological, behavioral aspects move rapidly forward. It also daunted on my that there will probably not be a single country doing it all or being the leader – it is a global development where the most open minded and smartest people can jointly produce unprecedented results. Brut force leadership by order of a human leader is most certainly failing – even with 10 billion people. But some of them will contribute amazing solutions to the whole.

Leadership Framework

The World Innovations Forum put a leadership framework together to help all countries to get started and advance. Getting everybody involved makes a lot of sense when it comes to, what is said by some, the last innovation humans will do. Most importantly collaboratively developing and agreeing on a common set of rules will make this development much safer. But maybe we need an AI system to guide us through a process that may otherwise be too much driven by ego and self interest.

What’s next

The development of chat bots is evolving rapidly. From clunky little experiments a few years ago, we see great progress and probably have a highly sufficient “chat bot” by 2022 that is so strong and so versatile that it may replace more than 100 million call center employees with the only replacement of maybe a million people training and advancing those bots. By that time governments will have no other choice to tax the productivity of any AM no matter where those machines are hosted and no matter who owns them. The tax income then can be used to start the concept of a base income for those who won’t find work any soon. A whole taxation model will be available in the new book “Eliminating Work . AI“. By 2025 until 2028 we may be in a position that super advanced chat bots can replace many knowledge base systems including Medical Doctors, Lawyers, Bankers, Insurance Brokers, Inside sales people, cashiers and so forth. This may cause an even bigger avalanche of unemployment that my easily hit over half a billion people world wide. Only several million will be needed to review the medical suggestion, the investment advice etc. But will no longer need a time consuming deep dive. By 2030 robotics may have advance to be much more agile. My ultimate test for a robot would be: Successfully perform in three disciplines: 1) Successfully play soccer in one of the top leagues. 2) Climb Eiger North Face or any similar mountain and return safely to base camp. 3) Dance tango with one of the world class dancers (it takes two to tango). “It takes two to tango” has an inhered interesting aspect: unlike most dances, Tango is lead by both dancers with an unspoken intuition. That will kick start another avalanche of AMs performing tasks that have been conducted by well educated humans. With a constantly improved UBI (Unconditional Base Income) by now it becomes actually a desire to replace as many human jobs as possible and give humans the freedom to pick and chose activities they really love and be so good and social in it that there is no advantage to have robots. There is no advantage to mass produce robots that produce art better than humans can do. Art has no better or worst – Art is a human expression not a robotic mass produced expression, even if every piece would be individual.

Autonomous Humans

By 2040 or 2050, humans will rationalize that during the time of the industrialization, they lost their autonomy. No job – no happy live. If you can’t get into a company where somebody is telling you what to do, you won’t get the reward in cash that you need to survive. Or if you do not perform what is expected from you, you get fired. Not today – but in 100 years we will compare that life with modern slavery. How could it be that you – a free person – has only a few hours a day actually free. At least, unlike in the 1800’s you no longer get beaten up or cut off your hand, but still you call it yourself treadmill, you are very happy if it is 5 pm, you look forward to vacation, you have no or not enough time to do what you really would love to do, you may not even have your dream job, you can’t follow your intuition but the job rules and so forth.

However exactly that ‘YOU’, is the one who helped build a world that eventually transform to a much more liberal life, less dangerous tasks and way more pleasant. So nobody following the rules today is/was stupid. But look for the possible outcome in 30 years from now. Learn everything possible including risks and opportunities about AI and AM and only if you can make an educated decision, judge it – as an hopefully autonomous human.

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Autonomous machines | autonomous humans

We are moving from an era where machines have been used by humans to augment their capability and do jobs they could not do without machines, to an era where machines are autonomous enough to do it on their own.

Interestingly enough, humans have been autonomous for the last 300,000 years until just recently, about 200 years ago when the industrial revolution started. From then on the majority of people lost their autonomy, were looking for jobs and did what they have been told to do. And if there was no job they were devastated – unemployed – not knowing what to do – not knowing how to go from here and survive.

In the next 50 years, autonomous machines will produce our feed, our goods, our clothes, our toys and pretty much anything we need. Most importantly they do not need other people to perform their jobs. Will we have 50% unemployed people, hanging around, frustrated, angry…? Possibly, but more likely it will pan out differently. No – sorry, not because we have 500 Million new jobs in the developed countries. We won’t. But because we are true humans. Independent, self sufficient, creative and equipped with all the amazing ingredients that makes us human. No matter if we are a banker, a street worker, a teacher, a assembly worker, a sales man or anything else – we are all creative – some simply had more time to unfold their creativity then others.

Our most important task

As we evolve and our technology progresses we need to come together and find ways to help hundreds of millions of people who may have no longer body crushing, dangerous, dirty, monotonous, stupidity creating jobs. We have to come to grips that this is not what people chose because of their education or heritage but those jobs were the ones we had to perform to build our next generation in our evolution. AI driven robots and other machines help eradicate hard work. Something that would have viewed as paradise is now almost a threat? I don’t think so. But thinking is required to use this amazing opportunity right. We have to develop scenarios and plans how we use our new freedom – and freedom and wealth will be abundant.


Just imagine – and please don’t argue before you completely read it. Imagine, we build smart, autonomous machines that build all our cars, our TVs, selects, cleans, packs and delivers our food, produces our clothes and everything else. Those machines can work 24 hours a day not just 8 hours. They don’t need vacation, health care and whatever else we ask for our comfort. So they will produce three times as much as we. Imagine that the taxes for those machines are as much as one human salary. The company would still have double the output on top of it. Imagine robots as a service, where companies rent them only when they need them. The economy of scale is so enormous that one robot could possibly even provide the tax for two salaries and still give the company a financial advantage over employees. Imagine that instead of going every day into a factory, a sales job, a delivery service or whatever, you get time to find out what you really would love to do. Maybe become an artist, maybe research strange flowers, maybe bake unique cakes, run a bar or restaurant, maybe become a car racer, surfer or whatever. Now you can. Maybe repeat school and graduate and go to University. Maybe you start to train even new and better robots like the ones who erased your old job. Imagine you become completely autonomous, have more time with your family or friends and learn new skills you not even had the faintest idea that you have a good base for it.

By FireflySixtySeven [CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0)], from Wikimedia Commons

By FireflySixtySeven, from Wikimedia

Human Autonomy

In my eyes, human autonomy would be, by order of magnitude, the most attractive goal we can achieve. And each and everybody could make a major step up on Maslow’s Pyramid of needs. We may even need to have autonomous machines to reach autonomy for all humans.

I know – it is too good to be true. And therefor most people will fight this new world as long as they can just because their mind is still programmed that way. It is conditioned in the family in school and by their friends to be the lowest level of society, to have no chance and so forth.

All together we need to help all people to evolve to equal members of our society. Most people over 30 would not be able to do that but the young generation is our hope. They are the ones who will at retirement age make sure that the next generation are autonomous members of our society.

Political AI Leadership Framework


Many countries explore ways to get not disconnected from the AI development even though the risks and opportunities of AI are highly controversial.

Since several of us are working in the Artificial Intelligence space for quite a while, we decided to put up an initial framework for country leaders. We believe that only a program developed in concert with other stakeholder has a good chance to be accepted by all.

It is in collaboration with our ambassadors in roughly 20 countries. More helping hands are very welcome. We will be updating this program on the go – leaving the previous versions as blog posts here. Theoretic AI is developing rather quickly and so should be this framework.

AI Leadership Framework

The “AI leadership framework” is a project in development. We are working with a large number of great minds from over 20 countries to postulate a framework that can be used as is, or as a base for a country’s own AI Leadership Strategy. While we see the risks that AI has, we see the grander opportunity for humanity. And if nothing at all, in the next 50 years we will learn more about ourselves than during the entire lifespan of humanity.

1) Data Awareness

Data is a new natural resource for the highly developed world. What was Gold, Coal, Oil, even healthy soil and so forth in the past,  is data in our immediate future. There is an abundance of data. The key is to intelligently harvest the overwhelming amount of available data. Being aware of the fact, that we all are creating new data, billions of data every single day, is the first step to create policies, infrastructure to protect – but also motivation to share those date. Like in previous technology developments, the US has been in a leadership position early on. Data power houses like Google, Amazon, Facebook, the credit card organizations and telecommunication companies, already sit on data like no other country.
Country leaders should understand: Data are generated in almost every country, including emerging countries and even some sub emerging countries. Not being able to use those data in a secure and privacy protected way is a major obstacle in a countries development. Natural resources just got an additional position in their list.

2) Access to data

The more data can be assessed the better the results from AI systems. In particular in the early days of any AI development, it is critical to get access to an enormous amount of data. Enormous means several hundred thousand records about the same topic. Over regulated and fearful societies and those with fear driven privacy campaigns are clearly in a disadvantages position. Amazon has access to trillions of dollars worth of shopping from past years. Together with data usage from their AWS business unit Amazon is one of the top player globally. Google sits on quadrillion of data points from all the searches and knows what people look for, why, what problems they have, what products they search,what illness they have and so forth. Facebook, unlike the other two has much more social interaction related data. The recent collaboration with credit card institutions provide Facebook a hot mix of social and commercial data and relations. Of course privacy is an issue but not using the data is like having hectares of apple trees but letting the apples rotten in the ground.
Country leaders should recognize that blocking data access due to the inability to protect the owner’s privacy of those data brings those countries behind. Retraining a population that ‘it is OK now’ is a daunting task.

3) Engineering

AI is no longer an IT discipline. AI requires top level mathematical knowledge, understanding of neural networks, understanding of reasoning and decision making processes, understanding in cognitive behavior, awareness know how, and much more. Image and speech recognition skills are simply a given. The vast majority looks at AI as a software code that is written by humans and can do at best as well as the programmer. That an AI system can not only perform computational processes but also build intelligent correlations, make then decisions and outperform humans in almost every predictable project is foreign to most of the postulation. The algorithms (mathematical procedures) allow AI systems to learn from hundreds of thousands of situations, then construct millions of situations similar to those they learned from and have a richer set of “experience” than any human ever being able to accumulate. While this is good – we need to understand the implications.
Country leaders should know that no longer only engineers are needed to develop leading AI applications but also Social Scientists,  Biologists, Mathematician, human behavior experts and related skills.

4) General Education

In past major development shifts, the education of what’s happening was more or less based on the effort of the businesses who produced and marketed those new technologies. However the possible impact is too significant to only hope the education will work out. If 50% of jobs will be irreplaceable eliminated, we need concepts and education how who this will not turn out as a catastrophe. We need to explore options in advance and educate those who have been educated to look for work and do what others tell them to do. what opportunities are out there in this new world. For the past 300,000 years humans have been taking care of themselves, have been rather autonomous and been creative to survive. In the past 200 years that has changed. The main job was to look for work and just do it. We are in a way going back to more autonomy and self determination. While this is an amazing and positive development, for many people it is on open void they may not be able to fill by themselves. Education and guidance is a key aspect of leadership – always was.
Country leader should seriously consider a greater makeover in their respective education systems. Mechanical learning of Physics, Math, Chemistry, Biology, History, Languages, is no longer enough. And as our knowledge base now doubles every year and the learning capacity of the young already crossed the limits, we need to consider actually reducing the amount of the content in the core classes and add data technology, society and political rights and responsibilities as these topics require a better understanding of everybody.

5) Language Empowerment

The world’s information is by and large stored in English language. Even the use of the term ‘Artificial Intelligence’ is important to be held in English and not in a local language. One of the key success aspects of AI is the openness and willingness to cooperate globally – that means by default in English. Leadership by ‘closed shop’, and keeping everything close to ones chest and secretive will never lead to superiority.
Country leaders should seriously consider reviewing the language learning in each country. Even though it is part of the general education, it has a very special position in the AI development. No longer it is only about the globally universal language of code writing, there is also the new language of system interaction. Already today AI components outperform any language on earth with more than 1 to 100 relative to English. Roughly 200 French Language ‘Skills” (applications) or close to 3,000 German skills versus more than 10,000 English skills.

6) Culture & Failure Tolerance

Whatever a team is creating, it is critical to get the early prototype rapidly into the market and work with massive amounts of actions. AI cannot be only tested in a lab – it needs to be tested in the market. The European or Asian perfectionism is counterproductive to AI development and will automatically make those actors fall behind. Google’s AI project that was used to learn about battery usage in Android smart phones moved within six months from concept to being used globally. We can learn only from errors. We will not learn from a perfectly working solutions. What sounds stupid to many engineers has been proven right over and over again. The motto Fail and fail fast is even more important in AI development.
Country leaders may want to consider driving an initiative that makes making mistakes an act of learning and progress rather than an act of failing. Chinese president Xi Jinping addressed Chinese entrepreneurs early 2018: ‘Making mistakes is the best way to learn fast’.

7) Transparency

Due to the competitive nature of any new technology, we most likely will never be able to find out who is working on what. Our brains are still the most private part of our lives – and hopefully will be forever. Yet, we should develop a work ethic that calls for voluntary transparency on the Matter of AI development. Now, recent incidents demonstrated that a business may not trust its own government because of its sheer power. A government should not even attempt to play a controlling role in the transparency question. And since trust is one of the key issues in that, maybe a system like we know from the blockchain development maybe a future option. Another reason why we should keep governments out of this role is the lack of trust among governments themselves. The current suggestion is that AI scientists select a consortium of trusted, anonymous third parties who get tasked to oversee the development as such and analyses the potential risks – with no authority power.
Country leaders may want to consider endorsing such an engagement, maybe send an observer but not ‘control’ it in any aspect. The control should instead lay in relevant and meaningful AI safety policies and law enforcement activities.

8) Taxation

There is a good potential that Autonomous Machines (AI driven systems) could wipe out 50% of the ordinary jobs by 2100 (plus/minus 50 years). Any given society would not recover from such a situation without well thought out planning. One concept maybe that each robot may be charged with a tax equal to one employee. That “AM-Tax” can then be used to fill a fund for unconditional base income or similar system. While the company would still have to purchase such a machine, it can quickly amortize the investment with this artificial employee not taking vacation, not needing social extras and possibly can simply rented as needed. Several scenarios can be found in “Eliminating Work . AI”.
Country leaders should be way ahead of time working on models for their respective society. That includes considering the competition from outside their country. The AM-Tax might be on conjunction with the production output (revenue) or operative savings (cost) they produce or save.

9) AI / AM imports

When importing AI from other countries we need to be aware that this may inherit a certain danger. Those machines may not comply with a country’s Safety & Privacy roles. Data maybe abused or used illegally and more. Importing such machines is a similar subject like importing weapons.
Country leaders should consider to establish early on AM (Autonomous Machine) Import rules and most importantly taxes in line with their overall AI or AM taxation.

10) Safety & Privacy Policies

Another key aspect of the leadership framework is the existence of the “Safety Trio”:
1) Privacy & Data Policies
2) Criminal Acts Policy
3) Human Protection Policies

10.1) Privacy & Data policies
need to be established to not only protect the general population from misuse of data but also education about the consequences of not providing data. Data as such needs to be structured beyond the act of privacy protection but also the protection of data, that belong to the creator of those data. Yet, it needs to be understood that data can either belong to one person or legal entity in its entirety or belong to a whole group pf people or entities. The complexity and permutation of data needs to be carefully explored on the go.

10.2) Criminal Acts Policy
Most likely the act of hacking systems and stealing data, corrupting data or systems or destroying either data, systems or network infrastructure will want to be set as a serious criminal act. As systems get more sophisticated they also can cause more damage than in the past and can bring people and a whole country into serious trouble. AI leadership needs to demonstrate its sensitivity for protection while at the same time its openness for sharing data. As such, hacking needs to be elevated to a serious criminal act with substantial penalties. The criminals act policy should also expanded into political treaties where country leaders agree on respecting the criminal acts policies of each other.

10.3) Human Protection Policy

There is s great level of fear, that AI based Robots, so called autonomous machines, may be at risk of harming humans. Right or wrong, AI leadership requires responsiveness and offers a solution. A possible method is to legally enforce that every autonomous machine will need to have a mechanism to be remotely shut off by especially selected authorities and/or mechanisms. A structure like the domain name service where systems are distributed around the globe may also be applicable to distribute the shut of mechanism. Robots without such a mechanism maybe considered illegal and by order of the law destroyed and the creator and owner penalized. The instantiation of the ‘Criminal Acts Policy’ is in particular important for this ‘Human Protection Policy’.




As stated in the beginning, the AI Leadership Framework is in an early stage and far from being complete. But in the interest of transparency also of our work, we wanted to share where we are at this stage and what we are working on. Suggestions may change into very different directions based on inputs and the work we are doing going forward.


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Why today’s human minds are incapable to outperform AI

Today we may debate whether or not a robot will ever be superior to a human. Superiority has many angels. Autonomous machines may catch some areas but most likely in the next centuries not all of them. However – think about it – one robot may not be as good as a human – but a whole range of networked Artificial Intelligence-based robots may very well outperform us in almost any segment of work on all levels and all industries !!!

Our single biggest disadvantage

The vast majority of humans, still today, keep knowledge close to their chest. Sharing of knowledge, experience, and mistakes is not our biggest strength. Sitting in a corner, thinking through the permutations of what happens with a machine in certain circumstances – is our biggest strength. But we know that our brain capacity is not unlimited. As long as we continue to share only if really necessary, think for ourselves, hope we earn special attention for our knowledge – we are in danger that all our jobs get eradicated before we adapt to newer better behavior. Our physical limitations are too weak to stand up against a series of highly developed AI networked technology – whatever we call it.

Cultural Advancement

We are what we got introduced to by our cultural frameworks. Our parents teach us to be humble, not to share our experience unless it is necessary, to experiment for ourselves until we are sure that our experiments are successful. We are conditioned to not talk about things that are still uncertain. Our communication prison is huge. Some cultures however advanced already. And the most interesting thing is that it was actually that very advancement that brought the AI / Robotics technology to life – Silicon Valley. Now some may argue it was elsewhere and so and so already had developed that first version of AI years ago. Well – so sorry to say that, an innovation has absolutely no value unless it is brought to a broader market. “The initial value if any innovation is zero”. Without cultural advancement, we will maintain that widening gap between developed and emerging countries. As long as emerging countries do not embrace more openness, a culture where failure is not just OK but actually good and a key part of learning – the country will remain to be an emerging country.

Artificial Intelligence, biggest driver for human advancements

Humans have one extraordinary ability: humans can adapt to new situations within one and the same generation. No other life form can do that. Big Data is giving businesses who leverage big data a huge advantage over others because they simply know better and faster what is going on. If we learn that networked AI systems will be able to tap into those data and create analysis, able to make decisions and derive strategies from the results, They will be ahead of us and we will essentially do what they suggest. We can’t even verify in time so we simply go ahead and do it. Yes it’s still a tool – but we do what the tool is telling us what to do without even being able to debate it. But we will learn one thing: if we connect our brains we get a whole new edge – maybe beyond our own imagination.

Experiment at World Innovations Forum

Imagine we do what future AI networks do and network our brains, very simply on a daily base by sharing, communication, analyzing our own mistakes and come to new conclusions every day? The collective intellect when really in action has unknown and incomprehensible reserves. The least we can do is to explore them. And it is almost for free. We only have to through some of the old cultural remains overboard. At the World Innovations Forum this is exactly what is going on right now. We’re building a digital layer across the globe that exists to connect people and their ideas, challenges, questions and answers together. http://wiforum.org We are not here to win a competition with AI-based robots but simply bring human entrepreneurs to a level that has never seen before.

Staggering ideas

As I progress with the book, diving deeper and deeper into the journey through the next 50 to 100 years, new situations come up and new ideas get created. New question arise, and the circle of impact will get bigger by the day.

If a large portion of our society will no longer need and even want to work, will the next generation children wonder why they should even learn anything?

If the developed countries accelerate their progress and with it their prosperity and live style, how much bigger will the gap to other countries get?

If the next generation is by large no longer working, learning or actively engaging, are we getting to real ‘Ideocracy’?

Yet, if the new, autonomous machines allow us to do things we could never imagine, it could do things anybody is dreaming about – no matter what education or previous level.

If autonomous machines get to teach our children, maybe we get to the most individual learning process ever. And if time is no longer the limiting factor and life long learning is the model – everybody – no matter which level in our society could sooner or later learn whatever they are really interested in.

The same can apply to countries that are still today way, relative to the most advanced societies.

As long as everybody can get access to the staggering knowledge explosion we will closing most gaps between equally talented people. That will allow us to see other gaps between differently talented people and we can work on those differences in a way more educated way than today.

Learning however will be one of the top 25 key aspects in our journey through time and differentiating factor between nations.