Thank you, Stack Overflow (& the other sister websites) for helping me many times in the past. But my experience in the past years has become worse and worse. Now-a-days, I have my stomach almost in knots when I post a question there. The attitude of some people there is quite… negative (to put it very politely).
Mentatul Monthly Focus
January 2020 Edition
– Big Data & Quantum Computing –
Machine Learning is powerful. But it’s still using good old transistors. And transistors might soon look like a horse & carriage compared to what quantum computers will be capable of (even though the two will no doubt have synergies fueling their co-existence for a while). So what will happen when we reach, and then dive deep into quantum supremacy and bring all our Big Data tech to that depth?
This article goes through:
1. Big Data & Machine Learning
2. How corporations profit from ML
3. How ML accelerates science
4. Basics of Quantum Computing
5. Quantum Computing today
6. Quantum supremacy
If one would be to chronicle the history of illegal or unfair use of economic practices, one would probably need to fill ten tomes of at least a thousand pages each. From rich to poor, almost everybody has, at least once, suffered due to our misshapen financial system.
There are many reasons for this, such as perfectly healthy and natural human greed. The problem is that greed and other evolutionary adaptations have been allowed to spiral out of control by a broken educational system. Insufficient education allows profit-seeking entities to exploit evolutionary weaknesses. They profit by making individuals invest into items and activities of no real value (no increase in happiness and no profit for the individuals or their families).
What I advocate is ethical everything. The implementation of such a system concerns the fusion between an ever-evolving ethical framework and a super-fragmented decentralized financial system. Let’s see what these terms mean.
Nobody can deny that we’ve entered a new era of technological progress. The so-called Digital Revolution is but the latest in a series of intellectual milestones that started with the Industrial Revolution. However, there’s something special about this era: exponential development. Our technology advances faster than ever before.
It’s not only board game players that lose to software algorithms. It’s all of us. It’s not that we’re stupid; far from that. After all, we created the software that is right now outperforming us in an ever-increasing number of areas, eliminating jobs across all industries.
But the human brain is perfectly capable of adapting to the intellectual explosion going on. The problem is that our social structures aren’t. And there’s a very simple reason behind that…
Machine Learning is all the rage these days. Be it computer vision, speech recognition, pattern matching or high-speed decisional capabilities, this century is the century of software. Like all technological revolutions, there’s potential for miracles and catastrophes.
Large corporations have started to realize that Machine Learning is a way to prevent smaller competitors from threatening them. This is because small companies can’t (yet) afford the huge infrastructure and Big Data investments that ML requires. It’s not surprising then that Microsoft, Google, FaceBook and others have open-sourced ML platforms, trying to attract developers and smaller companies to their ecosystems.
This post will touch on but a few of the changes we can expect in the coming decades thanks to the upcoming advances in Machine Learning. Looking at our history, we can see how the industrial revolution has supercharged our progress as a species. I believe that the Machine Learning revolution will make the industrial revolution seem like a snail in slow motion. This is both hopeful and scary.
The quality of online journalism has been dropping like a stone during the past decade. The main reason is websites trying to cut corners as a way to survive in a publishing landscape completely transformed by the Internet. Websites have lowered their standards regarding whom can write for them. This leads to such sad examples^ where armies of (mostly) amateur exploited writers generate a humongous amount of content, spamming the web and suffocating quality writing.
An even more worrying development is the so-called “rise of the robo-journalist. The following article reveals how automated writing is on the rise. The quality of these machine-authored creations might increase, but will continue to lack soul (at least until we develop true AI^). Even more importantly, the low-quality articles spam will explode in quantity.
I believe we need a service similar to Audible, Spotify or Netflix, but for online publications. I’m sure very many people thought about the very same thing, but the timing when an idea reaches the market is critical. Is the market ready? Will the idea propagate explosively or will it fizzle and die out?
Albert Einstein once said that “our entire much-praised technological progress, and civilization generally, could be compared to an axe in the hand of a pathological criminal”. He said this in December 1917, almost a hundred years ago, after seeing Europe ravaged by the First World War. Regardless, Einstein continued contributing to that same technological progress. Human curiosity and our desire to achieve are incompatible with stagnation. We will have to deal with this by being careful with the technology we will inevitably develop.
Like many have said before me, Artificial Intelligence (AI) can either be our salvation or our doom. It is a far bigger game-changer than nuclear bombs. But the problem is that there is NO Artificial Intelligence yet, and there won’t be for quite some time to come. Everything that the world’s corporations are selling now-a-days as “smart” or “intelligent” is actually a mindless human construct. Sure, it’s advanced, but if a rocket is more advanced than a spoon, that doesn’t make it in the slightest more intelligent than the spoon. They both lack one of the prime ingredients of intelligence, which is self-awareness. And therein lays the true threat.
Right now, our so-called artificial “intelligence” is nothing but a tool that corporations can and will use ruthlessly against one another (and against the people of one another). This is already taking place on the stock market, something I wrote about last year. Back then, I highlighted the fact that exactly because these algorithms are not intelligent, they will be used to enrich and empower whoever spent money in building them, regardless of their morals or social affiliation. And let’s not forget that software is far easier to steal and smuggle than radioactive material. Put the wrong AI in the hands of the wrong people and…
Before Artificial Intelligence develops free will and would even be in a sufficiently advanced position to decide if humans are necessary on this planet, we seem to be doing a pretty good job of destroying ourselves anyway by giving a dangerous amount of power over to semi-intelligent algorithms. Enter the artificially intelligent hedge fund.
But what’s this talk about “destroying ourselves”? Can these things actually kill? Well, let’s look at this way: these algorithms are designed to make profits for their owners by moving investments from one company to the other. In other words, stock market algorithms are playing with the fate of companies in order to make profits for investors. But unlike a human, an algorithm is not programmed for empathy, mercy or intuition. Such algorithms could potentially annihilate a promising company simply because it made some errors in reporting or short-term financial planning.
The development of self-driving vehicles is progressing at a steady pace. It’s only a matter of time before seeing a human drive a vehicle on public roads will be akin to seeing a horse and carriage on a motorway. Even if introduced globally right now while still in development, self-driving technology would drastically reduce fatalities.
Unfortunately, today’s society would only accept this technology if it is perfect. That’s because it is “understandable” that crazed primates may kill other beings because of recklessness and inattention, but it certainly won’t be tolerable for a computer to make a mistake, even if it would happen a thousand times less often – and most likely due to freak coincidences rather than the machine actually making a mistake. But society will evolve. Self-driving is here to stay and like it or not, primates will soon be relegated to driving on the race track or some other place where the potential of threatening life is lower.
And while self-driving is currently one of the most debated topics, we should really be talking about self-piloting, which is a more generic term. It covers more of what will actually happen: all machinery will soon be able to pilot itself. So how would worldwide fleet of interconnected self-piloting machinery change life on Earth?
Facebook doesn’t really do its job when you ask of it to follow a website for you. Here you will find two images that explain how you can properly follow a page on Facebook. Unless you change your notification settings as shown in the images, the default behavior is that whatever you see in your news feed is at the whim of algorithms designed to extract money out of everybody using the website – users on the one side and advertisers on the other. Sadly Facebook treats as advertisers even non-profit content creators such as myself, but more on that inside the article.
It’s a pity that I even have to type this but alas, due to the rather unfair algorithms employed by Facebook (and many other social networks), I realize it’s necessary to explain the current situation. Before I start, I’d like to emphasize that I have no problem with Facebook making a profit. As a living commercial entity, it needs to survive in order to evolve. But what will it evolve into? We as users of Facebook need to voice our concerns if we wish to have a say in its evolution. A social network should be the best place to make oneself heard but unfortunately, in the case of Facebook this is increasingly false.
Facebook currently deepens the chasms between social groups, reducing one’s opportunity to discuss with people outside one’s comfort zone. Like any company, Facebook wants its users happy. Happy users spend more time on the website and make the company more money.
Another way Facebook algorithms are hurting is treating non-profits as if they were advertisers. The website is built quite “intelligently” so that it coerces the owners of pages into paying for getting exposure.
