Como pensar exponencialmente e predizer melhor o futuro

Pyr Marcondes
3 de julho de 2018 - 8h02

Dois anos atrás li este artigo aí abaixo, depois de ter lido antes o mais impressionante livro que jamais li sobre o nosso futuro, chamado The Singularity is Near – When Humans Transcend Biology, escrito há 12 anos por Ray Kurzweil.

O artigo faz parte de uma série de quatro, dos mesmos autores, que li também, e recomendo fortemente que você faça o mesmo (veja abaixo).

Relendo-o neste final de semana, entre um jogo da Copa e outro, achei que publicá-lo faria sentido, porque andamos agora (mais do que há dois anos e, certamente, bem mais do que há 12 anos) às voltas com uma crescente ansiedade sobre a aceleração do tempo em nossas vidas, resultando em expressões cotidianas do tipo … “tá tudo muito corrido, mas a gente vai levando”.

Não vamos “ir levando” tão facilmente daqui pra a frente.

Teoricamente, seria apenas impressão que o tempo esteja de fato acelerando. Cada segundo é hoje o mesmo segundo de séculos atrás (a relação entre tempo e espaço só se altera em nosso Universo, como já nos ensinou Einstein, quanto mais nos aproximamos da velocidade da luz, quando o tempo, aí sim, se expande).

O que acontece hoje é que mais e mais acontecimentos passaram a ocorrer num mesmo espaço de tempo, num volume e acúmulo que jamais experimentamos antes. É isso que nos dá a sensação de aceleração do tempo, que por sua vez vem acompanhada de uma certa angústia de que não estamos mais acompanhando as coisas como antigamente conseguíamos acompanhar.

Pois não estamos mais acompanhando mesmo. E vai piorar, porque tudo a nossa volta vai se acelerar ainda mais. E tudo isso junto é a exponencialidade.

Kurzweil, você certamente já leu a respeito, explica que vai ser assim mesmo e que vamos escapar dessa na boa, virando máquinas com inteligência artificial controlando tudo a nossa volta. Daí o subtítulo do livro dele … “When Humans Transcend Biology” .

Não tenha dúvida, isso quer dizer exatamente o que está escrito, ou seja, que nossa evolução como raça humana, nas Leis de Darwin, será subvertida, e deixaremos de ser seres biológicos para evoluirmos a um novo estágio, quando seremos todos robôs. Simples assim.

Mas não é por essa razão que resolvi publicar o artigo abaixo. É porque ele, de fato, contém um micro manual intelectual que pode ajudar a todos nós a entender o que está acontecendo e prever melhor o que virá.

Embora o que virá talvez não seja exatamente aquilo que nós gostaríamos que viesse.

Boa leitura. E bom futuro. Gulp!

How to Think Exponentially and Better Predict the Future

• Alison E. Berman, Jason Dorrier and David J. Hill

This is the third in a four-part series looking at the big ideas in Ray Kurzweil’s book The Singularity Is Near. ​Be sure to read the other articles:

• Will the End of Moore’s Law Halt Computing’s Exponential Rise?
• Technology Feels Like It’s Accelerating — Because It Actually Is
• Ray Kurzweil Predicts Three Technologies Will Define Our Future

“The future is widely misunderstood. Our forebears expected it to be pretty much like their present, which had been pretty much like their past.” –Ray Kurzweil, The Singularity Is Near

We humans aren’t great predictors of the future. For most of history, our experience has been “local and linear.” Not much change occurred generation to generation: We used the same tools, ate the same meals, lived in the same general place.

Though the pace of technology is progressing exponentially, the default mode of our caveman brains is to think linearly.

As a result, we’ve developed an intuitive outlook of the future akin to how we approach a staircase—having climbed a number of steps, our prediction of what’s to come is simply steps followed by more steps, with each day expected to be roughly like the last.

But, as Ray Kurzweil describes in The Singularity Is Near, the rapid growth of technology is actually accelerating progress across a host of domains. This has led to unexpected degrees of technological and social change occurring not only between generations, but within them.

Against our intuition, today the future is unfolding not linearly but exponentially, making it challenging to predict just what will happen next and when. This is why the pace of technological progress tends to surprise us, and we find ourselves in situations like this:

How do we prepare for a future tracking to exponential trends, if we aren’t accustomed to thinking this way? Let’s start with the basics of exponential growth.

What is exponential growth?

Unlike linear growth, which results from repeatedly adding a constant, exponential growth is the repeated multiplication of a constant. This is why linear growth produces a stable straight line over time, but exponential growth skyrockets.

Here’s another way to think about it: imagine you are going to walk down a road taking steps a meter in length. You take 6 steps, and you’ve progressed six meters (1, 2, 3, 4, 5, 6). After 24 more steps, you’re 30 meters from where you began. It’s easy to predict where 30 more steps will get you—that’s the simplicity of linear growth.

However, setting anatomy aside, imagine you could double the length of your stride. Now when you take six steps, you’ve actually progressed 32 meters (1, 2, 4, 8, 16, 32), which is significantly more than the 6 meters you’d move with equal steps. Amazingly, by step number 30, doubling your stride will put you a billion meters from where you started, a distance equal to twenty-six trips around the world.

That’s the surprising, unintuitive power of exponential growth.

Exponential growth is deceptive, then explosive

What’s interesting about exponential growth is that when you double your stride, you progress the same distance with each step as all the previous steps combined. Before you hit a billion miles at step 30, you’re at 500 million miles at step 29. That means that any of your previous steps look minuscule compared with the last few steps of explosive growth, and most of the growth happens over a relatively short period of time.

Another example: let’s say you want to get to a certain location and you’re going to double your stride again to get there. Progress toward your destination appears distant at one percent of the way there, but in fact, you’re only seven steps (or doublings) away—and much of all that progress happens in the last step.

The point is we often miss exponential trends in their early stages because the initial pace of exponential growth is deceptive—it begins slow and steady and is hard to differentiate from linear growth. Hence, predictions based on the expectation of an exponential pace can seem improbable.

Ray Kurzweil gives this example: “When the human genome scan got underway in 1990 critics pointed out that given the speed with which the genome could then be scanned, it would take thousands of years to finish the project. Yet the fifteen-year project was completed slightly ahead of schedule, with a first draft in 2003.”

Here’s a great visual of exponential growth’s deceptive then explosive nature in computers. See how most of the progress happens right at the end after years of doubling?

Will exponential growth eventually end?

In practice, exponential trends do not last forever. However, some trends can continue for long periods, driven along by successive technological paradigms.

A broad exponential trend, computing for example, is made up of a series of consecutive S-shaped technological life cycles, or S-curves.

Each curve looks like the letter ‘S’ because of the three growth stages it represents—initial slow growth, explosive growth, and leveling off as the technology matures. These S-curves overlap, and when one technology slows, a new one takes over and speeds up. With each new S-curve, the amount of time it takes to reach higher levels of performance is less.

Kurzweil lists five computing paradigms in the 20th century: electromechanical, relay, vacuum tubes, discrete transistors, and integrated circuits. When one technology exhausted its potential, the next took over making more progress than its predecessors.

Planning for an exponential future

“[T]he future will be far more surprising than most people realize, because few observers have truly internalized the implications of the fact that the rate of change itself is accelerating.” Ray Kurzweil, The Singularity Is Near

The rule of thumb here is: expect to be surprised, then plan accordingly.

For example, what might the next five years look like? One way to forecast them would be to look at the last five and extend this pace forward. By now, the problem with this thinking should be clear: The pace itself is changing.

A better forecast would be to look at the last five and then reduce the time it will take to make a similar amount of progress in the next five. It’s more likely that what you think will happen in the next five years will actually happen in the next three.

The practice of exponential thinking isn’t really about the ins and outs of how you plan—you know how to do that—it’s about better timing your plan (whatever it may be).

In fact, Kurzweil’s law of accelerating returns arose from very practical of origins.

“As an inventor in the 1970s, I came to realize that my inventions needed to make sense in terms of the enabling technologies and market forces that would exist when the inventions were introduced, as that world would be a very different one from the one in which they were conceived,” Kurzweil wrote in the Singularity Is Near.

With a little practice, we can all make better plans by becoming consciously aware of our intuitive, linear expectations and adjusting them for an exponential future.

Why is learning to think exponentially valuable?

This isn’t just an interesting concept—our linear brains can get us into real trouble.

Thinking linearly causes businesses, governments, and individuals to get blindsided by factors that trend to exponential growth. Big firms get disrupted by new competition; governments struggle to keep policy current; all of us worry our future is out of control.

Exponential thinking reduces some of this disruptive stress and reveals new opportunities. If we can better plan for the accelerating pace, we can ease the transition from one paradigm to the next, and greet the future in stride.