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Quote by De philosopher DJ Kyos

“To all the lovers out there… When we were in school, we were told not to date, that we would find better partners in university. Then, in university, we were told to wait until we got to the workplace. Now that we are working, we think we will find the right partners in marriage. But the truth is. we are not good at dating. We are inexperienced. We might have no children, few or no exes, but we lack relationship experience. We give up easily. We are difficult to deal with. We have high expectations, unrealistic standards, and a sense of entitlement. We struggle to compromise or tolerate others. We think we are always right. We are selfish, inconsiderate, and emotionally unavailable. That is why many of us end up lonely , with only our academics and careers to show. We have succeeded in education, but we have failed in relationships. Even though we may be successful in life, we have failed to love others. Our lives may seem perfect, but we are unlovable, not because we are incapable, but because we never tried, never gained the experience or learned the lessons. And now, it feels too late. We are too old to learn or to set in our ways. When we do try dating, we often end up with the worst partners, because our choices are driven by desperation, and our criteria are unrealistic.”

Quote by De philosopher DJ Kyos

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De philosopher DJ Kyos

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“To lovers out there ... Some people are comfortable dating or being with dangerous individuals, rapists, molesters, abusive partners, criminals, or even killers. They don’t care about what these people do to others or how they live their lives. They only start to see them as bad or wrong once they are no longer benefiting.”

“To lovers out there … Do not envy others without knowing what they are truly doing or how they are doing it. Many couples who take international trips, buy each other houses and cars, or host lavish events may not be doing so through honest means. Often, these displays of wealth are funded by money laundering or other illicit activities. Some travel abroad under the guise of a vacation or baecation, but are actually involved in drug trafficking, prostitution, human trafficking, or other crimes. Others throw extravagant celebrations, birthdays, anniversaries, weddings, and exchange expensive gifts as a way to clean dirty money.”

“To lovers out there …. Some people have a victim mentality. They deliberately put themselves in situations where they end up as victims. If you don’t do anything that makes them feel victimized, they will end the relationship and leave you. Many even seek out toxic partners or people with poor bad character, not by accident, but because it makes them look good or like saints. With someone worse beside them, they can shift blame for their own mistakes, guilt trip without consequence, and keep doing wrong without accountability. Why? Because compared to their partner, they will always seem like the better one. That is why they often say good people are boring. They say it because they themselves have bad intentions. Being around good people would expose them and force them to take accountability.”

“It’s easy to be labeled as a bad or toxic person when those judging you are doing so based on their own needs rather than your actual actions. They make assumptions and project their own expectations onto you, imagining what you might do or think, instead of considering what you’ve actually done, said, or thought.”

“Selection on one of two genetically correlated characters will lead to a change in the unselected character, a phenomenon called 'correlated selection response.' This means that selection on one character may lead to a loss of adaptation at a genetically correlated character. If these two characters often experience directional selection independently of each other, then a decrease in correlation will be beneficial. This seems to be a reasonably intuitive idea, although it turned out to be surprisingly difficult to model this process. One of the first successful attempts to simulate the evolution of variational modularity was the study by Kashtan and Alon (2005) in which they used logical circuits as model of the genotype. A logical circuit consists of elements that take two or more inputs and transform them into one output according to some rule. The inputs and outputs are binary, either 0 or 1 as in a digital computer, and the rule can be a logical (Boolean) function. A genome then consists of a number of these logical elements and the connections among them. Mutations change the connections among the elements and selection among mutant genotypes proceeds according to a given goal. The goal for the network is to produce a certain output for each possible input configuration. For example, their circuit had four inputs: x,y,z, and w. The network was selected to calculate the following logical function: G1 = ((x XOR y) AND (z XOR w)). When the authors selected for this goal, the network evolved many different possible solutions (i.e. networks that could calculate the function G1). In this experiment, the evolved networks were almost always non-modular. In another experiment, the authors periodically changed the goal function from G1 to G2 = ((x XOR y) or (z XOR w)). In this case, the networks always evolved modularity, in the sense that there were sub-circuits dedicated to calculating the functions shared between G1 and G2, (x XOR y) and (z XOR w), and another part that represented the variable part if the function: either the AND or the OR function connecting (x XOR y) and (z XOR w). Hence, if the fitness function was modular, that is, if there were aspects that remained the same and others that changed, then the system evolved different parts that represented the constant and the variable parts of the environment. This example was intriguing because it overcame some of the difficulties of earlier attempts to simulate the evolution of variational modularity, although it did use a fairly non-standard model of a genotype-phenotype map: logical circuits. In a second example, Kashtan and Alon (2005) used a neural network model with similar results. Hence, the questions arise, how generic are these results? And can one expect that similar processes occur in real life?”

“So long as module improvement respects the protocols by which the module connects to other modules, module improvement can proceed independently of those other modules. An extreme case of this is when the protocols are between different levels of the modular hierarchy and when there is richness on both sides of the protocol. When the upper side of the protocol is rich, the knowledge base on the lower side of the protocol is often referred to as a 'platform' on which knowledge modules above it can be based. In science, Newton's laws were a platform on which both celestial and terrestrial mechanics could be based. In technology, the personal computer software operating system is a platform on which a rich set of software application can be based. Moreover, when the lower side of the protocol is also rich, the shape of the knowledge network becomes hourglass-like. In the case of technological knowledge, the waist of the hourglass is a distinguished layer or protocol, with technologies underneath implementing the protocol and technologies above building on the protocol - with both sides 'screened' from each other by the protocol itself. As a result, the number of applications explodes independent of implementation details; similarly, the number of implementations explodes independent of application details. The number of software applications built on the Windows operating system is enormous; the number of hardware and software implementations of the Windows operating system is also enormous. In other words, imagine two complex adaptive systems, one organized modularly and one not. At one moment, both might be able to exploit their environments equally and thus be equally 'adapted' to their environment. But they will evolve at vastly different rates, with the one organized modularly quickly outstripping the one not so organized. Modularity appears to be an evolved property in biology, one that is mimicked in the organization of human knowledge.”

“I used to be a poet. My words were traded in marketplaces like pieces of gold. Merchants bought my verses for as much as they paid for saffron and Indian jade. Now I am old... drunk on wine and candle fumes. Alone in this barren room, I speak my psalms to the night air so as to entertain moths before they go off to die. I used to be a poet and my words were gold.”