Monday, 21 May 2012
As image memes gain popularity on social networks and forums, they are fast securing their place as a defining cultural aspect of the early tweenies...(unlike the word "tweenies", thankfully).
Most of these images are humourous, as this is great for virality, many are profound, some just witty nuggets of wisdom.
And then there is the propaganda. Intended to illicit an emotional response to a political idea, propaganda memes are used to affirm or reaffirm a political bias or dogma. They are often aimed at a very particular niche. If you have any particular political or activist persuasion, you will no doubt have seens endless streams of these one-sided affirmations.
At best, they are intellectual masturbation. At worst, it's pseudo-scientific social engineering.
The worst form of this that I have seen is data correlation inferences. Just because something happened on a certain date does not mean it caused something else that happened around the same time. It is completely irrational to infer causation from a correlation, and most people are subconciously aware of this, they will just choose to ignore it if the correlation fits in with their beliefs. So this form of non-sequitur is becoming an increasingly utilised mechanism for these pieces.
It is a shame that this kind of irrationality is being entertained, not least because data correlations can be valuable analysis tools. Correlations can be useful indicators for understanding social dynamics, as long as it is acknowledged that this evidence is purely circumstantial.
Alone, correlations are not proof , but they can reveal vital clues about possible causation.
They can also be powerful in assisting predictions. The more we know, the more correlations we will uncover, and the more we can use the circumstantial correlations of the past to make reasonable conjectures about the future.
As Twitter and Google and other web-enabled data collectors increase both the range and volume of their publically available data, the more correlations become available to anyone with the inclination to look for them. Using increasingly advanced data analytics tools, our prediction capabilities become ever more reliable, and with them, the possibilities of social engineering reach new and increasingly influential heights.
Monday, 8 August 2011
Distributed infrastructure, such as that provided by the internet, allows for more reliability - if one node is damaged, it barely affects the rest of the network. It affords more freedom - less reliance on a centralised 'grid' controlled and manipulated by the elite. It is more in-line with nature, creating a symbiotic entity where the sum is greater than its parts, and each participant compliments the rest with cooperation but doesn't burden the whole either.
However, the centralised systems we are used to, those which provide our public infrastructure, still have a place, because they can often be more efficient than a distributed system. For example, it would be difficult to run a train system with solar panels on the station roof, so the train taps into the main grid.
When assessing and managing the Earth's resources, a global inventory would be important. We would need to decide on the most efficient solution between distributed and centralised infrastructure, and having access to all resources would allow us to choose the most efficient solution. If one country has more resources than another and it does not share them, this will burden the world system as a whole. If, for example, a hot country like Egypt built solar panels across the desert but didn't share this energy, it could hold back the whole planet, because this energy could be used to run a factory supplying the whole of Africa, or even the world, with food.
On the other hand, building an infrastructure to share this energy and the productions it facilitates could be impractical and not the best use of resources. Although sharing resources could contribute to society, the cost of the infrastructure required to share these resources would be prohibitive. In these situations, a localised solution might be a more efficient use of resources.
Should we be building Smart Grids, or developing self sufficient houses? Or what about a middle ground of self sufficient communities?
It is likely that both ideas will have to develop in parallel. There is no escaping the growth of distributed systems, their dropping cost and increasing accessibility. Home manufacture, decentralised production, home automation, home agriculture, home energy and more are making it easier to separate ourselves from the mainstream infrastructure and increase our self sufficiency.
Similarly, sharing and pooling resources has its benefits. It gives us more possibilities, allows us to combine systems, and develop simplified and more efficient solutions. So we should be looking at the best way to combine the two techniques.
Monday, 13 June 2011
But how do we go about this? How do we bring robots and automation into our everyday lives, unless robot intelligence is significantly improved? Well, while this intelligence is improving at a rapidly accelerating pace, there is a huge potential for solving problems using simple, task repeating, programmable robotics.
The key is to standardize everything. We have to "put it on rails".
As an example, let's look at making an automated dish washing system.
We have dishwashers, but we still need to load and unload them. We need to develop 2 things. Firstly, we need a robot that can safely sort dishes no matter how randomly they're piled up, and insert them into their relevant areas of the dishwasher. Secondly, and this wouldn't be so difficult once the first stage was completed, is a mechanism for unloading the dishes and putting them away.
The important thing to note is that the kitchen would need to be designed with this in mind. In many solutions, we may need to consider our existing infrastructure. This needn't be as complex as it's made out to be, and would always pay off once a working automated system was integrated.
So you would need containers either side of the dishwasher, one for humans to pile up the dirty dishes, and one where the clean dishes would be stored permanently. This would make it easier than if the storage cupboard was, say, on the other side of the room to the dishwasher.
The next step, we could consider 2 options. The first is to standardize all our plates, cups, dishes, pots, pans, and cutlery, so that the loading robot would "recognize" them all. Alternatively, we may be able to develop robots that can recognize new items and program themselves "on the fly" to deal with them effectively. This would obviously be a little harder. To achieve the first step, all the dishes we use in a house could be embedded with RFID. The robot could also have powerful sensors similar to face recognition software many cameras currently have.
Within the dishwasher, every item would have a specified place. The robot would simply grab each item and move it to its "cleaning slot". Any odd items could occupy a separate platform within the dishwasher.
You get the idea. While it still has some creases to iron out, the point is that there is plenty that can be achieved with a minimal level of robot intelligence, if we standardize our practices and the environments that automation functions in. The same theory could be applied to transportation. It's baffling why trains are still driven by human beings, when a computer could control them perfectly.
If you think that giving computers so much responsibility is dangerous, it's because you've been conditioned to seeing machines that have been challenged by real life scenarios. The point is, these machines have been limited by the programming of humans. They have been put in situations where they have not been designed to cope with all possible scenarios. They were expected to work like humans, yet they were limited in the number of possible actions. Automation system designers need to limit the scenario to a set routine, as well as limiting the influence of external factors.
To put it another way, they need to simplify what a robot has to do, and design its environment to confine it, protecting it from the need to make decisions. We can do this by standardizing its interactions. This will allow us to bring automation into our lives in more ways than we ever thought possible, even at current technology levels.
Tuesday, 8 February 2011
Since the first particles were set in motion, every action has been part of a chain reaction.
At first, there were the simplest of elementary particles in an empty universe. Hydrogen atoms — single electron entities, were the pinnacle of complexity.
Eventually, a few of them collided, stuck together, and formed more complex atoms, and then molecules. Well, it was a little more complicated than that, but you get the idea. These molecules accumulated until there were so many that gravity and magnetism began to have a significant effect. As the gravity increased, the mass increased, and nuclear fusion commenced. Star systems were born.
The planets continued a sequence of their own. Eventually molecules increased in complexity by way of chemical reactions in order to form amino acids which then combined to create proteins.
These proteins and amino acids increased in complexity until living cells emerged from the chemical process.
Life started simple — with single cell organisms converting oxygen into energy.
Like everything before it, life increased in complexity as its requirement for survival drove it to trial different solutions to the problems it faced. Solving any problem always creates new, more complex problems. When the first animals came onto the land to find food, they had to develop solutions, such as legs, lungs, to deal with this new environment.
After an unfathomably long time, something incredible happened. Life increased complexity so much that a brain able to comprehend its own existence was formed. This brain not only solved problems, as brains before it did, but it built upon ideas. It developed the same skills as nature itself, evolving ideas that increased the complexity of the universe. *These self acknowledging brains loosely described this phenomenon as consciousness, and these complexity-increasing ideas as technology.
Consciousness is a feedback to nature. For the first time in history, nature is no longer the main driver of complexity, the complexity itself is driving further evolution.
Now I’m not talking about transhumanism or notions of driving our own evolution to become more than human. I’m talking about the ability to create ideas. Ideas drive evolution. Like nature before it, the function of ideas developed by consciousness is to increase complexity. This evolves the course of the universe itself.
Ideas are created by combining previously existing concepts to solve a problem. These ideas then create new problems that need to be solved and so new ideas always add to the ever increasing complexity.
Evolution = increasing complexity, using ideas as the mechanism.
Evolution began as hydrogen atoms evolving into complex molecules. It is not restricted to the evolution of plants and animals. Charles Darwin’s identification of the evolution of the species was just a very small part of a much bigger picture.
It’s important to remember that this is still part of that original chain reaction. Evolution is the function of the universe itself.
I’ll say that again.
Evolution is the function of the universe itself.
To appreciate this, you have to acknowledge that the true definition of evolution is to increase complexity. That is all that has ever happened. From the increasing complexity of atoms to the development of life, the improvement of life and then the development of consciousness, the universe is just a complexity factory. That’s what it does.
What is profound about this is realising where we fit it into it all. We’ve often wondered what is the reason for living, and when you look at the big picture like this, it becomes obvious.
We are just here to continue the evolution of complexity.
Of course this is both empowering and humbling. It turns out that human beings could be pivotal to the evolution of the universe. Looking back at how the universe has evolved we can predict that we, (or another version of consciousness that will emerge in the event of our extinction), will contribute to the emergent complexity of the universe. Our ideas will progress the complexity and will take the universe to the next level. Yet at the same time, we realise that we are simply a result of what the universe was doing anyway. We are not the ‘pinnacle’ of evolution, we are just ‘where it’s at now’. There is much more to come, and perhaps we are just an insignificant speck in the development of something much grander.
What if the development of consciousness is just an embryo of a super-brain and concepts such as individuality are simply mechanisms in its development? Kinda makes the humbling from Darwin and Copernicus seem like a mild slap. The ego of humanity takes yet another beating…
But even if this is the case, there’s no need to feel down. Now we know our purpose, we know what to focus on. We have meaning and direction. We are here to drive complexity, by creating ideas which are solutions to problems.
And there is more. Since we first started integrating concepts and evolving ideas, we have been part of something even more complex than our minds: Society. The hive-mind of ants or bees is one thing, but the hive mind of an entire planet of concscious, problem solving, dextrous human beings is quite another. Society adds yet another level of complexity to the evolution of the universe.
Society has only existed in any sort of complex form for at most a few hundred thousand years, but until the birth of the internet, it was fragmented and relatively simple. Now, people have the potential to connect to any of seven billion others. Cultures merge. Belief systems collapse and form in seconds. Values shift and perceptions alter. More possibilities present themselves. When the internet exploded, our day-to-day functioning as a society hit the knee of an exponential curve in terms of complexity.
This is not to be feared. This is the destiny of evolution, the destiny of the universe. Yes, we will create ideas to temporarily simplify many concepts. But this is just so that we can then use this simplification as a step up to further complexity. Like a fractal.
For example, Google simplified searching the internet, but in doing so empowered people to solve more complex problems than ever before, due to the ease of access to new concept-combinations.
Technology is advancing at a accelerating rate, enabling all sorts of new opportunities, problems and the ideas required to solve them. The more technology, the more ideas. The more ideas, the more complex society becomes. Even the power of our brains could soon be artificially increased, adding to our ability to drive further complexity.
So immerse yourself. Ride the wave of nature and accept our destiny — the perpetuation of complexity.
Tuesday, 11 January 2011
It should be obvious that Product Longevity is incompatible with capitalism as we know it. Our system relies on continuous consumption to perpetuate the workforce, grow enterprise, and maintain profits. While there may be a capitalist incentive to produce long lasting products in some industries, the fact remains that breaking down just outside of the warranty period is the most profitable circumstance.
Constant technological advancements seem to be a licence for excessive consumption, ongoing changes justifying the buy-and-throw-away culture. Things, in general, are not designed to be upgraded, they are designed to be superseded and replaced.
How do we address this from a sustainability perspective?
It’s becoming increasingly apparent that the decoupling of monetary gain from production is imperative.
Would it be possible (profitable) for a company to start up, complete a production run of one very long lasting product, and then move onto another, different product? Maybe, but only if the company’s infrastructure was designed in such a way as to allow for cheap and fast transformation to a new product line. There may still be difficulties supplying genuinely consumable products, and fast advancing technological products, and dealing with any products that break down.
Fundamentally, any sustainable production model would never be preferable to any company whose priority is to grow and make profit. However, it might be demanded as more people realise the importance of sustainability.
We must think about how to produce goods that integrate product longevity while also allowing for ongoing technological enhancement, and effectively dealing with product failures.
It might then be in the interests of a sustainable community to form their own production facilities not concerned with profit, similar to a cooperative but with a focus on sustainability over profit. Working outside the monetary system, this would undermine any companies working within it, out-competing them.
This may allow a community enterprise to run indefinitely, albeit without growth.
Such an enterprise could adopt sustainable production methods such as modular design. An example of such a project is PhoneBloks, who propose a mobile phone design where the base of the phone is produced and an array of components can then be added or removed, personalizing the device and allowing for ease of replacing damaged parts. Laptops, tablets, or any handheld device could make use of this platform, such as washing machines, fridges, gardening tools, or even cars.
Other goals of such an endeavour would include; reducing product duplication, reducing waste, building more robust products, and incorporating more reusable components into every design.
This model may also allow for greater input during the design process. The internet can allow for a more collaborative approach to design as well as production. This is already happening, it’s only a matter of time before the designs are good enough that these products take off. Then, the concepts of open, sustainable, modular, and, most significantly, profitless design enter the mainstream.
How will profit-driven corporations respond?