Category: October 24 (Page 2 of 3)

Adjacent Possibilities

Whenever someone uses the phrase “adjacent possibility” to refer to something that may not be possible now but will be given the realization of one intermediate possibility, I’m inclined to try and picture something like a big bike wheel with lots and lots of spokes continuing outward from the center for a long, long time. Where we are right now can be construed as an “origin” of sorts, so the metaphor makes some degree of sense in that particular manner. The infinite distinct things that could happen right now or that could happen because of what we do right now  are, logically, extensions of the present in the way that spokes are extensions of the center. So far so good with this metaphor. But let’s keep going. Each spoke would have to have another center attached to the end of it, right? For every action or inaction (meaning for every spoke) there is a result, meaning that this metaphor would have to include additional centers at the end of each and every one of the infinite spokes. And then each of those centers would need more spokes with more centers and so on and so on. My question is at this conundrum. At face value, it doesn’t seem difficult to arrive at the assumption that there are infinite possibilities. The notion of infinity spokes, each leading to infinity more spokes forever and forever until the end of time certainly doesn’t  lend itself to any sense of finiteness. But if there are infinite possibilities, shouldn’t that mean that everything is possible? And I do mean everything. Not just outlandish stuff like “ghouls and goblins rise from the graves and launch their own Super PAC,” but stuff that fundamentally challenges our most basic understandings. For example “the fabric of spacetime turns orange.” Maybe that’s a bad example because there isn’t actually any “fabric” (as far as we know), but couldn’t there be? It’s a possibility, meaning that it’s gotta be on one of the spokes I talked about.

 

I hope I’ve made my point clear so far. With my bike spoke model (which, by no coincidence, has a very close resemblance to the model that was used in the presentation), it seems that there’d be nothing that’s impossible. Even if we limit the number of spokes that a given center can have, then, eventually, you’d still arrive at any possibility you wanted. You’d just have to pass through more centers. So that’s the issue that I take. Everything is possible in this model. Paradoxes, mutual exclusivities, and even logic itself could be (respectively) resolved, coincident, and altered.

 

So that’s my problem with this whole “everything is possible” thing. Even if that’s not what he meant, it’s still the logical conclusion of the model that was used in the presentation. Everything.  This may be the proverbial hill on which I have to die, but I will not concede that this is true. Some things are just impossible. Some are impossible because of logistical concerns (flying to the sun in half a second? Can’t happen because it’s faster than the speed of light) while others are impossible by definition. And the model that seems to be used most commonly to describe the “adjacent possible” seems to imply otherwise.

 

That’s my two cents.

 

-Jon

Technology and Innovation

The last two decades remind me the history as one of the periods with a fast growth in technology. Probably also in the next few decades we will experience a significant growth in technology driven by “AI” and “Block chain”. Both topics are causing huge rumors among scientists and these two technologies will completely change the way we currently collect, store, manage and protect the data. This evening we had the lecture held by Professor Loreto on the topic of “Novelties, innovation and the adjacent possible”. Among all the topics he raised in his lecture, especially three of them made me think a lot after the class.

In one of his first statements, he explained using a function, is that the innovation rate is decreasing which means that the value obtained from investing in innovation is getting smaller and smaller. Prof. Loreto explained that this is not the result of less innovations but is the result of an increment of resources faster than the increment of discovery. In other words, Y=X^(½) where Y is the innovation and X rappresenta the amount of resources used to make innovation. Hence, we are still innovating more than in the past but the quantity of resources used is larger than the ones used in the past. I believe that in the long term we cannot keep such a trend  because resources are limited.

Another element that I want to recall in this text is how Artificial Intelligence known as AI which is assumed to impact on the innovative process in the future. Nowadays AI has been spread many fields such as medical, industry, and business. For example multinational banks are investing huge amounts of money to develop and apply AI to their business in order to improve their management or efficiency. AI is completely different from the machine that we know so far. Until now the machine has been used extensively by companies, can only repeat what it has been taught, without having an understanding of what it is doing, and of course without giving any improvement of the process by itself.  AI changes the key concept of new technology because it can learn from the errors and find a solution by itself like human beings. In other words, AI will have the capacity to understand the process and will be improving it using all the data in its code. Yet there have been still problems on AI processing system as the example of a volvo car which failed to figure out kangaroo shows. However, I believe AI is making steady improvements. I assume that all the innovation via exploit will be taken over by AI from us will not be too late to become reality near future.

The third fascinating concept was “adjacent possible” which is one of important elements to think about innovation. This concept simply says that you can use your current knowledge to achieve other different sorts of inventions beyond the limit. Regarding managing innovation, it is essential to turn our eyes upon new technology or tools and combine those technologies or even try combining with other fields in order to face the unexplored range. We have to realize the adjacent possible is spread in front of us and explore actively in order to expand boundaries of innovation possibilities.

The Adjacent Possible

This week, Professor Loreto discussed something I’d never even heard of before. He called it the ‘adjacent possible’. At face value, adjacent possible simply means the space right next to what we think/what is possible, which is one of those phenomena that simultaneously makes more sense and becomes more confusing the more you think about it.

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The chicken and the egg: Innovation and Origins.

This past week’s lecturer, professor Vittorio Loreto of Università La Sapienza in Roma, struck an interesting chord with me. As someone spanning both the humanities and the STEM in my studies, Loreto left me with a faint feeling of dread. He presented the novel ideas of quantifying innovation, an abstract concept in itself, and eventually concluded that the efficiency of innovation over time is decreasing. By his findings, the only reason the number of innovations is increasing steadily is due to the vast number of individuals seeking innovation. That only means one thing for an individual like myself (soon to graduate): competition. Therefore, there has to be a directly causational relationship between competition and innovation. As Loreto phrased it: ‘as I am writing a paper, I have to race to publish it, as my neighbors are likely doing the exact same work’. The space on which to innovate is shrinking, but the number of individuals tackling innovation is only growing.

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Vertical vs. Horizontal Innovation

Being a child born just a few years before the new millennium, my lifetime has coincided with what seems to be the fastest period of growth in technology our world has witnessed so far. (I claim no responsibility for this, yet.) Since 1996, we have grown the capacity of a single hard-drive nearly 4000-fold from 16 gigabytes to 60 terabytes. Electric cars have become a legitimate and viable transport option. Stage 1 rockets can now land on their own and be reused. The race to become an interplanetary species is in full swing. It seems innovation is on an exponentially growing curve. However, Vittorio Loreto disagrees.

On the evening of October 24th, Loreto presented on the topic of “Novelties, Innovation, and the Adjacent Possible”. In his presentation, he referenced studies which his team had performed which suggested that innovation and the production of novelties are, in fact, on a downwards slope. The studies surveyed a handful of internet-based communities such as Last.FM, GitHub, Wikipedia, and Project Gutenberg. What Loreto’s team saw was that over time, the rate of innovation (contribution of novelties) steadily declines. Loreto argues that innovation, much like any resource, can be depleted. As we mine innovation, it becomes harder to create novelties organically.

One might argue that Loreto’s observations of novelty rates on sites like GitHub or Wikipedia may be somewhat biased or flawed. The rate of innovation in a medium, whether it be a traditional written language or a programming language/paradigm, must be subject to the capacity of the medium. While such a number would still be astronomical, only so many sensical phrases can be written in the English language. Similarly, only so many valid lines of code can be written within a language or paradigm. Once we begin approaching the bounds of a medium, standalone novelties do become more difficult to produce. However, novelty should not be mistaken for the only form of innovation. Context adds a whole new dimension to the bounds of the medium, one I suspect would be too complex to observe and model on a chart (e.g. frequency of A occurring immediately between B and C, followed by X VS. just the frequency of A).

Moore’s law presents an excellent example of continual innovation without much novelty as of recent. “Moore’s law is the observation that the number of transistors in a dense integrated circuit doubles approximately every two years” (Wikipedia) The rapid evolution of computer processors was to due to novel technological innovations in its early stages. However, recent growth has been dominated by innovative reconfigurations of existing concepts. Moore’s law applies to a number of similar observations including hard disk drive areal density, fiber-optic capacity, pixels-per-dollar, and the quality adjusted price of IT equipment.

Innovation comes in many forms. Some innovation is found true discovery and happenstance. Other innovation is laboriously constructed by drawing on and building up from previous achievements, no less impressive. Vertical innovation should not be discredited in favor of its horizontal cousin.

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