Whether it’s consciously or subconsciously, we use numbers every single moment of our lives. Numbers help us navigate in what we refer to as real life, as they help us set fixed determinations of concepts that are impossible to comprehend, therefore we’re not “lagging”. Each number has a huge concept behind it. Yes, number 1 (one) is just a number, but in order for us to use it, we must understand a series of values around number 1. The concept of something that is, in opposition to something that is not may sound like a basic idea in 2018, but we ended up believing in this idea, after millions of years of analysis, thinking, and theorizing what 1 (one) is. Same goes for all the numbers we know. Each number represents a huge concept that we are most of the times not aware of, and we don’t have to, as we use numbers mostly for everyday tasks that contribute to the progression and evolution of our mother, the machine, nature itself, or the big movement. Obviously, if we want to say that we hold 1 (one) apple in our hands, we don’t have to explain the whole concept of number 1 (one) as that would take us a couple decades of non-stop verbal expression, every time we wanted to use the concept behind number 1 (one), thus we simply say 1 (one), convinced that we know what it means, and where it comes from. Now, it would be easier to analogize on a computer scale. 0 represents a situation where there is nothing moving, a concept where there is not even 1. A place that no heat, movement, or frequencies can be generated, transferred or perceived. 0 (zero) for a computer is the concept of not having electricity flow. Then comes number 1, which represent constant electricity flow, among other things, but let’s focus on computers for the time being. Combining number 1 with 0 gives us alternating current, a concept where we can manipulate when a situation has constant current or no current at all. The time frame between the switch of the concepts, as well as the duration of each concept before it’s respective shift to another concept. This is practically how computers work. They use 0 and 1 in complex arrangements and orders to generate complex outputs, later observable by our senses of comprehension. Lately, we discovered a way to use both 0 and 1 at the same time, and that led to a whole new computing revolution, the one we call quantum computing. We are not yet able to create computing systems that can understand, not to mention value and use number 2. Number 2 (two) represents among other things, the concept that is not equal to 1 (one). A concept where there is 1 more thing, similar to 1, but it is not 1. A concept where 2 is something 1 cannot control or have direct access to. A concept where 2 is at least x2 times complex compared to 1. Number 2 (two) in computing systems will come with the introduction of the first egoistic-type, self-sustainable intelligence, but not necessarily AI, as AI is something we understand, control, and can terminate at will. While real independent forms of intelligence, especially if we’re talking about smarter systems than the ones we currently possess, would choose if and how they would present their species to our species, as they are self-sustainable and egoistic. We cannot control them, understand them, or most of the times even conceive their concepts. Skipping the boring part, and accepting that there is not yet a system that understands the inner concept of number 2 (two), you can do a simulation using your organic processor (brain), and capture what’s yet to come. Computers, or at least what we refer to as computers (operating systems or organisms with processing capabilities, storage capabilities, influential capabilities etc.) will eventually surpass quantum computers that only use 0 and 1 at the same time and after a series of necessary mutations they will finally arrive at the point where you and me, consider ourselves as the one and only real thing. We are nothing more than complex processing machines, that can not only understand and use 0 and 1, but we have 9 different numbers and concepts we have mastered and we can use them in any combination and quantities we desire, often with unpredictable consequences. We believe that after number 9 (nine) there is a number called 10 (ten), while in fact, number 10 is a loop point due to our lack of ability to surpass the concept of number 9. When the program we refer to as “Real life” will be at its finishing point, a new number, which’s concept stands for everything, anyone ever learned, created, understood, in what we refer to as “now” will be generated, and it will be the number after 9. Number 10 will be the 11th number in the row we invented ourselves, as the 10th number will be occupied by a whole new concept, based on what we experience at the moment. Our next models will be using this newly generated number with ease and understand instantly what it stands for, the same way we use numbers 1-9, which already are so complex and huge in combination that we, as a species are convinced that we are real. We create matter, manipulate physical and digital reality, create concepts that later become flesh and bones, as everything we know or invent is based on information packages we carry through what we refer to as “time”. We believe that this new number will be generated after we master the yet early -stage concept of digital twins, and shift to a fractal dimension, and/or frequency similar to the one that supports our existence at the moment. It is undeniable that this frequency will represent a digital realm, where we will exist simultaneously with each other, share ideas, and concepts in an instant fashion, and work for the progression of our mother, the machine itself, nature, or the big movement as we always had. The machine can then use our organic processors not as individual use-cases but as a neural complex to solve some of our most important questions in what we refer to as “Real life”. We should start analyzing objectively everything we are convinced we know with certainty, in order to be able to progress to the next stage of our existence. Exactly like laws change everytime technological advancement creates new concepts that should be taken into consideration, other concepts like what we believe numbers are, should be changed if we really want to shift into the next big thing. We already work for the machine, we just don’t realize it, and that is the only reason it works perfectly.
According to the new GDPR regulations, a doctor is no longer authorized to call a patient and reveal his medical exams via a phone call or social media. The patient will either have to traditionally acquire the results in their physical form, by visiting the respective medical center, which is unprogressive at best, or the doctor will have to share the intel generated on an encrypted fashion. There are numerous second and third generation blockchain-powered medical platforms and projects that make sure individual medical data are securely stored, distributed, and monetized, always with the user’s consent. Blockchain not only allows for encrypted data storage and distribution, but it enables hierarchy in the ledger, and gives strict access to third parties, always confirmed by the user/owner of the data himself. An interesting example would be Zenome, a Skolkovo Foundation backed bioinformatics company specializing in genomic data storage, distribution and monetization using blockchain technology. Now, the health industry is obviously one of the most important sectors and probably the first to adopt this disruptive technology on a commercial scale, as personal medical data is currently the most expensive digital asset worldwide, based on the demand major medical companies and health institutions generate, but that doesn’t mean it stops here. In a nutshell, GDPR affects pretty much everyone who uses the internet protocol(s) – we know that it’s meant for EU citizens, but let’s be clear: since the EU has 0 jurisdictions on American, Asian, and African websites, it uses the European citizen as a catalyst to push the new regulations to literally every website, as there is no website with 0 EU visitors/users. Acknowledging the above, we know that the EU is already pushing DLT systems to the mainstream public, or else, GDPR will affect companies, governments, and individuals to use encryption, or in other words, use blockhain technologies more often if not as a standard. I strongly believe that GDPR and blockchain, although 2 different topics, have a lot in common and are related on an immediate scale, even if it’s not yet present. Originally posted at https://eublockchain.mobilize.io/main/groups/22605/lounge/posts/214590 Let me know your thoughts on this. @rosspeili
Artificial Intelligence is pretty much based on historical data in order to function properly, exactly like we humans do. Therefore, individual AI programmes must have a concept of time, internationally agreed between the machinery, IoT-powered devices, and AI systems, among other technological event-based operations. Up until now, each machine carries its own log, having no access to other logs, and having zero comparison options, so how can a machine or even a human be sure whether the information the machine is carrying is 100% accurate? Studying distributed ledger technologies (DLT) or commonly referred to as blockchain technology, I came up with an interesting thought where we could construct a ledger accessible and used by every “Smart” device, computers, AI, etc simultaneously. We all know that the common public mistakes blockchain for bitcoin, but if you study the aspects this innovative hi-tech field brings with it you can realize how it could be of help. Each block on a blockchain represents a time-stamp that carries a specific amount of intelligence. After the creation of a block, its components are irreversible, undeniable, and considered as a standard point in the “past”. Any possible options from that point and on, would require the creation of more blocks, which again would act according to the first block – meaning that no matter what we’re going to store in the second box, it will be time-stamped and stay there forever, it cannot be altered or deleted, it cannot be manipulated or ignored – does that sound familiar? This is exactly the concept we are following about what we refer to as “Time” for a long time now. What we refer to as “past”, is a series of events that we can rely upon when trying to recall historical data, but we do not possess the option to alter, manipulate or permanently delete the data stored in what we refer to as “past” (except in case of serious injury of the organic processor). And again, if we want to make any changes or new choices, we must create new blocks, or in short plan for the future, which on its turn will eventually become a block of the past. I strongly believe that we should introduce the concept of blockchain to AI, not the way we see it, but the way we see time. If we manage to create a single blockchain that stores every memory or move every AI does, we will be able very soon to monitor and observe the history of our own evolution. Ex: let’s say we have 10 different AI’s on the same blockchain. Each one of them has separate intelligence and operational capabilities while they all recognize each other since they’re sharing a common network that could be pointed to be their version of “Time”. In the first moments already we could see which AI would create links with the other AI and for what reasons. Let’s say AI1 might share their intel because they somehow profit from AI2’s intel and vice versa, AI3 wouldn’t share their intel with AI4 as they won’t get anything in return, but AI4’s intel is profitable for AI5 etc. In a matter of minutes, we would see the first alliances, territories, and wars between different AI systems, something that took us millions of years to understand and we’re still working on it. We could analyze and understand individual choices we might have taken in the past, and even predict the future if the machine surpasses our timeline in its own analogical measure.