Arbeitslosengeld versus Grundeinkommen …

“Es gibt so viele Dinge, die sozial sinnvoll sind, aber sich finanziell nicht lohnen. Mit einem Grundeinkommen wären wir alle frei, sie zu erforschen.” – Federico Pistono

Foto: Dr. Martin Bartonitz – Nov. 2012

Ich hatte Ende 2012 die Gelegenheit, einen jungen Mann kennenzulernen, der sich mit der Thematik des bedenkbaren Ausmaßes unserer Automatisierungen beschäftigte und dabei recht gelassen war, sah er doch viel Potential darin, dass wir bald sehr viel weniger lohnarbeiten und dafür mehr Zeit für das haben würden, was uns begeistert oder was dringend im sozialen Bereich (mein Bericht dazu: Nachlese: Roboter werden Deinen Job vernichten – Federico Pistono) zu tun ist.

Drei Jahre später stoße ich nun auf ein Interview, das Hans-Arthur Marsiske mit Federico Pistono im Kontext seines Buchs “Robots stehlen Deinen Job, aber das ist OK – wie man den Wirtschaftskollabs gllücklich übersteht”will (siehe auch diesen Artikel auf dem Blog dazu: Robots will steal your job, but that’s OK) geführt hat. Ich möchte diesen kleinen Auszug hier zur Diskussion stellen, geht es doch um das die Nation zunehmend spaltende Thema des Grundeinkommens. Das eine Lager mit dem Weltbild des X-Menschen (siehe: Vom Paradigmenwechsel unseres Menschenbilds: die X-Y-Theorie) ist der Meinung, dass damit die Faulheit weiter unterstützt würde. Das andere Lager mit dem Weltbild des Y-Menschen sieht darin die wahre Befreiung der Menschheit, die zu einem Miteinander auf Augenhöhe führen sollte. Hier nun die Sicht von Federico: „Arbeitslosengeld versus Grundeinkommen …“ weiterlesen

Robots will steal your job, but that’s OK

Technological Singularity refers to the time when the speed of technological change is so fast that we are unable to predict what will happen. At that moment, computer intelligence will exceed that of human, and we will not even be able to understand what changes are happening.

Federico Pistono
Federico Pistono

Now that we have a solid understanding of the exponential function, we can begin to look at things from a more informed perspective. You may have heard of Moore’s Law, which states that the number of transistors that can be placed on an integrated circuit doubles approximately every two years. This effectively means that computer power doubles every 24 months or so. When Gordon E. Moore, co-founder of Intel Corporation, the world’s largest semiconductor chip manufacturer, described this trend in his famous 1965 paper,1 people were very sceptical. He noticed that the number of components in integrated circuits had doubled every year from the invention of the integrated circuit in 1958 until 1965, and predicted that the trend would continue “for at least ten years.” Many did not believe him. They said it was an inaccurate prediction. We could not expect it to grow any further, due to various technical problems. Those sceptics were wrong. In fact, it has been doubling steadily for more than 50 years, without any sign of stopping. But Moore’s Law is not the whole story. The exponential expansion of technology has been growing remarkably smoothly for a much longer time, and integrated circuits are just a tiny fraction of the whole spectrum of change that pervades technological advancement.

Ray Kurzweil notes2 that Moore’s Law of Integrated Circuits was not the first, but rather the fifth paradigm to provide accelerating price-performance. Computing devices have been consistently multiplying in power (per unit of time), from the mechanical calculating devices used in the 1890 US Census, to Turing’s relay-based Bombe machine that cracked the Nazi enigma code, to the CBS vacuum tube computer that predicted the election of Eisenhower, to the transistor-based machines used in the first space launches, to the integrated-circuit-based personal computer which Kurzweil used to dictate the very essay that described this phenomenon, in 2001.

To get an idea of what exponential growth means, look at the following graph, which represents the difference between a linear trend and an exponential one.

linear-vs-exponential

Figure 1.1: The difference between a Linear and an Exponential curve. Courtesy of Ray Kurzweil.

As you can see, the exponential trend starts to really take off where the ‘Knee of the Curve’ begins. Before that, things do not seem to change significantly. It is just like the story of the chess board and the king. In the first few days nothing notable happens, but as soon as the curve kicks in, something dramatic happens and things go out of control. „Robots will steal your job, but that’s OK“ weiterlesen