Information Technologies Motivational Quotes

You need mountains, long staircases don't make good hikers.

Travelling the road will tell you more about the road than the google will tell you about the road.

Be a true traveller, don't be a temporary tourist.

But the Turing test cuts both ways. You can't tell if a machine has gotten smarter or if you've just lowered your own standards of intelligence to such a degree that the machine seems smart. If you can have a conversation with a simulated person presented by an AI program, can you tell how far you've let your sense of personhood degrade in order to make the illusion work for you? People degrade themselves in order to make machines seem smart all the time. Before the crash, bankers believed in supposedly intelligent algorithms that could calculate credit risks before making bad loans. We ask teachers to teach to standardized tests so a student will look good to an algorithm. We have repeatedly demonstrated our species' bottomless ability to lower our standards to make information technology look good. Every instance of intelligence in a machine is ambiguous. The same ambiguity that motivated dubious academic AI projects in the past has been repackaged as mass culture today. Did that search engine really know what you want, or are you playing along, lowering your standards to make it seem clever? While it's to be expected that the human perspective will be changed by encounters with profound new technologies, the exercise of treating machine intelligence as real requires people to reduce their mooring to reality.

because the cigarette or spliff was an indispensable technology, a substitute for speech in social situations, a way to occupy the mouth and hands when alone, a deep breathing technique that rendered exhalation material, a way to measure and/or pass the time. More important than the easily satisfiable addiction, what the little cylinders provided me was a prefabricated motivation and transition, a way to approach or depart from a group of people or a topic, enter or exit a room, conjoin or punctuate a sentence. The hardest part of quitting would be the loss of narrative function; it would be like removing telephones or newspapers from the movies of Hollywood’s Golden Age; there would be no possible link between scenes, no way to circulate information or close distance, and when I imagined quitting smoking, I imagined “settling down,” not because I associated quitting with a more mature self-care, but because I couldn’t imagine moving through an array of social spaces without the cigarette as bridge or exit strategy.

Trekking means a travelling experience with a thrilling excitement.

New information technologies are tools—and to have an impact, tools need users, who in turn need goals, direction, and motivation.

We have a complete business plan that aims to yield investors 1,000% returns within only a five-year period. We have all the pieces in place; the only missing piece is YOU! We are looking for a very motivated scientist who has experience in teleportation research and/or technology. Send a resume and any other information that may set you apart from other teleportation scientists.

This interplay of military and academic motives became ingrained in the Internet. “The design of both the ARPANET and the Internet favored military values, such as survivability, flexibility, and high performance, over commercial goals, such as low cost, simplicity, or consumer appeal,” the technology historian Janet Abbate noted. “At the same time, the group that designed and built ARPA’s networks was dominated by academic scientists, who incorporated their own values of collegiality, decentralization of authority, and open exchange of information into the system.”90 These academic researchers of the late 1960s, many of whom associated with the antiwar counterculture, created a system that resisted centralized command. It would route around any damage from a nuclear attack but also around any attempt to impose control.

The idea on which Lick’s worldview pivoted was that technological progress would save humanity. The political process was a favorite example of his. In a McLuhanesque view of the power of electronic media, Lick saw a future in which, thanks in large part to the reach of computers, most citizens would be “informed about, and interested in, and involved in, the process of government.” He imagined what he called “home computer consoles” and television sets linked together in a massive network. “The political process,” he wrote, “would essentially be a giant teleconference, and a campaign would be a months-long series of communications among candidates, propagandists, commentators, political action groups, and voters. The key is the self-motivating exhilaration that accompanies truly effective interaction with information through a good console and a good network to a good computer.” Lick’s

Westerners, not just Lincoln Steffens. It took in the Central Intelligence Agency of the United States. It even took in the Soviet Union’s own leaders, such as Nikita Khrushchev, who famously boasted in a speech to Western diplomats in 1956 that “we will bury you [the West].” As late as 1977, a leading academic textbook by an English economist argued that Soviet-style economies were superior to capitalist ones in terms of economic growth, providing full employment and price stability and even in producing people with altruistic motivation. Poor old Western capitalism did better only at providing political freedom. Indeed, the most widely used university textbook in economics, written by Nobel Prize–winner Paul Samuelson, repeatedly predicted the coming economic dominance of the Soviet Union. In the 1961 edition, Samuelson predicted that Soviet national income would overtake that of the United States possibly by 1984, but probably by 1997. In the 1980 edition there was little change in the analysis, though the two dates were delayed to 2002 and 2012. Though the policies of Stalin and subsequent Soviet leaders could produce rapid economic growth, they could not do so in a sustained way. By the 1970s, economic growth had all but stopped. The most important lesson is that extractive institutions cannot generate sustained technological change for two reasons: the lack of economic incentives and resistance by the elites. In addition, once all the very inefficiently used resources had been reallocated to industry, there were few economic gains to be had by fiat. Then the Soviet system hit a roadblock, with lack of innovation and poor economic incentives preventing any further progress. The only area in which the Soviets did manage to sustain some innovation was through enormous efforts in military and aerospace technology. As a result they managed to put the first dog, Leika, and the first man, Yuri Gagarin, in space. They also left the world the AK-47 as one of their legacies. Gosplan was the supposedly all-powerful planning agency in charge of the central planning of the Soviet economy. One of the benefits of the sequence of five-year plans written and administered by Gosplan was supposed to have been the long time horizon necessary for rational investment and innovation. In reality, what got implemented in Soviet industry had little to do with the five-year plans, which were frequently revised and rewritten or simply ignored. The development of industry took place on the basis of commands by Stalin and the Politburo, who changed their minds frequently and often completely revised their previous decisions. All plans were labeled “draft” or “preliminary.” Only one copy of a plan labeled “final”—that for light industry in 1939—has ever come to light. Stalin himself said in 1937 that “only bureaucrats can think that planning work ends with the creation of the plan. The creation of the plan is just the beginning. The real direction of the plan develops only after the putting together of the plan.” Stalin wanted to maximize his discretion to reward people or groups who were politically loyal, and punish those who were not. As for Gosplan, its main role was to provide Stalin with information so he could better monitor his friends and enemies. It actually tried to avoid making decisions. If you made a decision that turned

The anti-technological hysteria that holds broad sections of the Western world in its grip is a product of metaphysics’ decay: it is betrayed by the fact that it clings to false classifications of beings in order to revolt against processes in which the overcoming of these classifications has already been carried out. It is reactionary in the essential sense of the word, because it expresses the ressentiment of obsolete bivalence against a polyvalence that it does not understand. That holds above all for the habits of the critique of power, which are always still unconsciously motivated by metaphysics. Under the old metaphysical schema the division of beings into subject and object is mirrored in the descending grade between master and slave and between worker and material. Within this disposition the critique of power can only be articulated as the resistance of the oppressed object-slave-material side to the subject-master-worker side. But ever since the statement ‘There is information,’ alias ‘There are systems,’ has been in power this opposition has lost its meaning and develops more and more into a playground for pseudo-conflicts. In fact, the hysteria amounts to searching for a master so as to be able to rise up against him. One cannot rule out the possibility that the effect, i.e., the master, has long been on the verge of dissolving and for the most part remains alive as a postulate of the slave fixated on rebellion—as a historicized Left and as a museum humanism. In contrast, a living leftist principle would have to prove itself anew by a creative dissidence, just as the thinking of homo humanus asserts itself in the poetic resistance to the metaphysical and technocratic reflexes of humanolatry.

Growth was so rapid that it took in generations of Westerners, not just Lincoln Steffens. It took in the Central Intelligence Agency of the United States. It even took in the Soviet Union’s own leaders, such as Nikita Khrushchev, who famously boasted in a speech to Western diplomats in 1956 that “we will bury you [the West].” As late as 1977, a leading academic textbook by an English economist argued that Soviet-style economies were superior to capitalist ones in terms of economic growth, providing full employment and price stability and even in producing people with altruistic motivation. Poor old Western capitalism did better only at providing political freedom. Indeed, the most widely used university textbook in economics, written by Nobel Prize–winner Paul Samuelson, repeatedly predicted the coming economic dominance of the Soviet Union. In the 1961 edition, Samuelson predicted that Soviet national income would overtake that of the United States possibly by 1984, but probably by 1997. In the 1980 edition there was little change in the analysis, though the two dates were delayed to 2002 and 2012. Though the policies of Stalin and subsequent Soviet leaders could produce rapid economic growth, they could not do so in a sustained way. By the 1970s, economic growth had all but stopped. The most important lesson is that extractive institutions cannot generate sustained technological change for two reasons: the lack of economic incentives and resistance by the elites. In addition, once all the very inefficiently used resources had been reallocated to industry, there were few economic gains to be had by fiat. Then the Soviet system hit a roadblock, with lack of innovation and poor economic incentives preventing any further progress. The only area in which the Soviets did manage to sustain some innovation was through enormous efforts in military and aerospace technology. As a result they managed to put the first dog, Leika, and the first man, Yuri Gagarin, in space. They also left the world the AK-47 as one of their legacies. Gosplan was the supposedly all-powerful planning agency in charge of the central planning of the Soviet economy. One of the benefits of the sequence of five-year plans written and administered by Gosplan was supposed to have been the long time horizon necessary for rational investment and innovation. In reality, what got implemented in Soviet industry had little to do with the five-year plans, which were frequently revised and rewritten or simply ignored. The development of industry took place on the basis of commands by Stalin and the Politburo, who changed their minds frequently and often completely revised their previous decisions. All plans were labeled “draft” or “preliminary.” Only one copy of a plan labeled “final”—that for light industry in 1939—has ever come to light. Stalin himself said in 1937 that “only bureaucrats can think that planning work ends with the creation of the plan. The creation of the plan is just the beginning. The real direction of the plan develops only after the putting together of the plan.” Stalin wanted to maximize his discretion to reward people or groups who were politically loyal, and punish those who were not. As for Gosplan, its main role was to provide Stalin with information so he could better monitor his friends and enemies. It actually tried to avoid making decisions. If you made a decision that turned out badly, you might get shot. Better to avoid all responsibility. An example of what could happen

if we do nothing more than replace textbooks and encyclopedias with Google or Bing, or use the computer or tablet for nothing but writing exercises, technology in the classroom is not as motivating as using these tools to SEEK, find, and use information for problem solving and creativity.

What’s more, it wasn’t clear to me that organising the world’s information should be the provenance of a for-profit company, rather than a democratic effort outside the purview of the profit motive

With the exception of a few supporters at Bell Laboratories who understood digital technology, AT&T continued to resist the idea. The most outspoken skeptics were some of AT&T’s most senior technical people. “After I heard the melodic refrain of ‘bullshit’ often enough,” Baran recalled, “I was motivated to go away and write a series of detailed memoranda papers, to show, for example, that algorithms were possible that allowed a short message to contain all the information it needed to find its own way through the network.” With each objection answered, another was raised and another piece of a report had to be written. By the time Baran had answered all of the concerns raised by the defense, communications, and computer science communities, nearly four years had passed and his volumes numbered eleven.

In game theory, as in applications of other technologies that use RPT [Revealed Preference Theory], the purpose of the machinery is to tell us what happens when patterns of behavior instantiate some particular strategic vector, payoff matrix, and distribution of information—for example, a PD [Prisoner's Dilemma]—that we’re empirically motivated to regard as a correct model of a target situation. The motivational history that produced this vector in a given case is irrelevant to which game is instantiated, or to the location of its equilibrium or equilibria. As Binmore (1994, pp. 95–256) emphasizes at length, if, in the case of any putative PD, there is any available story that would rationalize cooperation by either player, then it follows as a matter of logic that the modeler has assigned at least one of them the wrong utility function (or has mistakenly assumed perfect information, or has failed to detect a commitment action) and so made a mistake in taking their game as an instance of the (one-shot) PD. Perhaps she has not observed enough of their behavior to have inferred an accurate model of the agents they instantiate. The game theorist’s solution algorithms, in themselves, are not empirical hypotheses about anything. Applications of them will be only as good, for purposes of either normative strategic advice or empirical explanation, as the empirical model of the players constructed from the intentional stance is accurate. It is a much-cited fact from the experimental economics literature that when people are brought into laboratories and set into situations contrived to induce PDs, substantial numbers cooperate. What follows from this, by proper use of RPT, not in discredit of it, is that the experimental setup has failed to induce a PD after all. The players’ behavior indicates that their preferences have been misrepresented in the specification of their game as a PD. A game is a mathematical representation of a situation, and the operation of solving a game is an exercise in deductive reasoning. Like any deductive argument, it adds no new empirical information not already contained in the premises. However, it can be of explanatory value in revealing structural relations among facts that we otherwise might not have noticed.

Nor are the elite modern institutions selecting for personality qualities of independent and inner motivations and evaluations that are an intrinsic part of the Endogenous personality – quite the opposite, in fact; since there are multiple preferences and quotas in place which net exclude Europeandescended men (that group with by far the highest proportion of Endogenous personalities – i.e. having the ultra-high intelligence and creative personality type). This can be seen in explicit group preference policies and campaigns enforced by government (and the mass media), and informal (covert) preferences – leading to ratios and compositions at elite institution (especially obvious in STEM subjects: i.e. Science, Technology, Engineering, Medicine) that demonstrate grossly lower proportions of European-descended men than would result from selecting for the Endogenous personality type.

Ability: Information about their ability (physical, cognitive, language) and any assistive technology (AT) they use. • Aptitude: Their current knowledge and ability to make inferences. • Attitude: Their motivation, emotion, risk tolerance, and persistence.

Why is this disengagement epidemic becoming the new norm? A few reasons I have witnessed in speaking with companies across the country include . . . • Information overload • Distractions • Stress/overwhelmed • Apathy/detachment • Short attention span • Fear, worry, anxiety • Rapidly changing technology • Entitlement • Poor leadership • Preoccupation • Social media • Interruptions • Multitasking • Budget cuts • Exhaustion • Boredom • Conflict • Social insecurity • Lack of longevity These challenges not only create separation and work dysfunction, but we are seeing it happen in relationships and personal interactions.

There are fundamental ways that meaning informs our lives and work, if we are conscious of it and recognize its shape. The shape meaning takes in marketing is empathy: All relevant customer understanding and communications flow from being aware of and aligned with the customer’s needs and motivations. In business in a broader sense, the shape meaning takes is strategy. It guides every decision and action. In technology and data science, meaning can drive the pursuit of applied knowledge toward that which improves our experiences and our lives. Creative work becomes more meaningful the more it conveys truth. And in our lives overall, an understanding of what is meaningful to us provides us with purpose, clarity, and intention.

Despite the tremendous contributions of information and communications technology, selling is still largely a function of interpersonal relations, which are guided by the artful ability to recognize motivations, needs, and perceptions.”6

First we lose, then we win in Life." Recently many people in the IT and Tech sectors are facing a difficult phase of their life. I had similarly faced a difficult phase in the Finance sector in the year 2008. We all have gone through failures in life. But that should not stop us from trying for success. Staying hopeful and working toward our goals bring us an opportunity to achieve success.

The perpetrator of such a misdemeanor must have a motive. Is UMMO the private joke of a group of Spanish engineers? Is it a psychological warfare exercise, as some French analysts suspect? Or is the truth more complex, rooted in a social reality where the ideas and symbols of UMMO have acquired a life of their own, their special mythology, and a set of beliefs that feed on themselves? We can at least be certain of one thing: the UMMO documents do not come from advanced beings trying to demonstrate their existence to us. But try to explain it to their disciples! Very few UFO believers, and even fewer of their New Age counterparts, have any formal training in science. They are easily awed by any document that contains a few equations and a numerical system of base 12. Yet if they had some awareness of modern technology, they would realize how easy it should be for an advanced race to prove its genuine skill to a society like the human race. After reading the masses of documents purportedly coming from the planet UMMO, I asked myself: if I had the opportunity to communicate with intelligent beings of an earlier time, such as the high priests of Egypt, how would I establish a meaningful dialogue? I certainly would not insult them by sending a letter beginning with ”We are aware of the transcendence of what we are about to tell you”—especially if I had an imperfect command of hieroglyphics! Instead, I would concentrate on a few points of valuable, verifiable information. Since the Egyptians already knew how to make electrical batteries and were aware of the magnetic properties of certain minerals, I would send them a simple set of instructions to make a coil and a compass. I could explain resistance and Ohm’s Law, a simple equation that was easily within the grasp of their mathematicians. Or I would tell them about making glass and lenses from sand. If they wanted proof, I would not bother to reveal to them set theory or the fact that E is equal to mc2. Instead, I would send them a table predicting future eclipses, or a diagram to build an alternator, or Leonardo da Vinci’s design for variable-speed cogwheels. That should get the attention of the top scientists in their culture and open up a dialogue. Unfortunately, the extraterrestrials of UMMO and other planets never seem to communicate at this level. Are they afraid of collapsing our society by appearing too advanced with respect to us? This hypothesis does not hold, since they have chosen a very obvious way of showing themselves in our skies.

In the second year of the Trump presidency, I attended a dinner of American hedge funders in Hong Kong. I was there as a guest speaker, to survey the usual assortment of global hot spots. A thematic question emerged from the group—was the “Pax Americana” over? There was a period of familiar cross-talk about whether Trump was a calamitous force unraveling the international order or merely an impolitic Republican politician advancing a conventional agenda. I kept interjecting that Trump was ushering in a new era—one of rising nationalist competition that could lead to war and unchecked climate change, to the implosion of American democracy and the accelerated rise of a China that would impose its own rules on the world. Finally, one of the men at the table interrupted with some frustration. He demanded a show of hands—how many around the table had voted for Trump, attracted by the promise of tax cuts and deregulation? After some hesitation, hand after hand went up, until I was looking at a majority of raised hands. The tally surprised me. Sure, I understood the allure of tax cuts and deregulation to a group like that. But these were also people who clearly understood the dangers that Trump posed to American democracy and international order. The experience suggested that even that ambiguous term “Pax Americana” was subordinate to the profit motive that informed seemingly every aspect of the American machinery. I’d come to know the term as a shorthand for America’s sprawling global influence, and how—on balance—the Pax Americana offered some stability amid political upheavals, some scaffolding around the private dramas of billions of individual lives. From the vantage point of these bankers, the Pax Americana protected their stake in international capital markets while allowing for enough risk—wars, coups, shifting energy markets, new technologies—so that they could place profitable bets on the direction of events. Trump was a bet. He’d make it easier for them to do their business and allow them to keep more of their winnings, but he was erratic and hired incompetent people—so much so that he might put the whole enterprise at risk. But it was a bet that enough Americans were willing to make, including those who knew better. From the perspective of financial markets, I had just finished eight years in middle management, as a security official doing his small part to keep the profit-generating ocean liner moving. The debates of seemingly enormous consequence—about the conduct of wars, the nature of national identity, and the fates of many millions of human beings—were incidental to the broader enterprise of wealth being created.

This book is a compilation of interesting ideas that have strongly influenced my thoughts and I want to share them in a compressed form. That ideas can change your worldview and bring inspiration and the excitement of discovering something new. The emphasis is not on the technology because it is constantly changing. It is much more difficult to change the accompanying circumstances that affect the way technological solutions are realized. The chef did not invent salt, pepper and other spices. He just chooses good ingredients and uses them skilfully, so others can enjoy his art. If I’ve been successful, the book creates a new perspective for which the selection of ingredients is important, as well as the way they are smoothly and efficiently arranged together. In the first part of the book, we follow the natural flow needed to create the stimulating environment necessary for the survival of a modern company. It begins with challenges that corporations are facing, changes they are, more or less successfully, trying to make, and the culture they are trying to establish. After that, we discuss how to be creative, as well as what to look for in the innovation process. The book continues with a chapter that talks about importance of inclusion and purpose. This idea of inclusion – across ages, genders, geographies, cultures, sexual orientation, and all the other areas in which new ways of thinking can manifest – is essential for solving new problems as well as integral in finding new solutions to old problems. Purpose motivates people for reaching their full potential. This is The second and third parts of the book describes the areas that are important to support what is expressed in the first part. A flexible organization is based on IT alignment with business strategy. As a result of acceleration in the rate of innovation and technological changes, markets evolve rapidly, products’ life cycles get shorter and innovation becomes the main source of competitive advantage. Business Process Management (BPM) goes from task-based automation, to process-based automation, so automating a number of tasks in a process, and then to functional automation across multiple processes andeven moves towards automation at the business ecosystem level. Analytics brought us information and insight; AI turns that insight into superhuman knowledge and real-time action, unleashing new business models, new ways to build, dream, and experience the world, and new geniuses to advance humanity faster than ever before. Companies and industries are transforming our everyday experiences and the services we depend upon, from self-driving cars, to healthcare, to personal assistants. It is a central tenet for the disruptive changes of the 4th Industrial Revolution; a revolution that will likely challenge our ideas about what it means to be a human and just might be more transformative than any other industrial revolution we have seen yet. Another important disruptor is the blockchain - a distributed decentralized digital ledger of transactions with the promise of liberating information and making the economy more democratic. You no longer need to trust anyone but an algorithm. It brings reliability, transparency, and security to all manner of data exchanges: financial transactions, contractual and legal agreements, changes of ownership, and certifications. A quantum computer can simulate efficiently any physical process that occurs in Nature. Potential (long-term) applications include pharmaceuticals, solar power collection, efficient power transmission, catalysts for nitrogen fixation, carbon capture, etc. Perhaps we can build quantum algorithms for improving computational tasks within artificial intelligence, including sub-fields like machine learning. Perhaps a quantum deep learning network can be trained more efficiently, e.g. using a smaller training set. This is still in conceptual research domain.

Westerners, not just Lincoln Steffens. It took in the Central Intelligence Agency of the United States. It even took in the Soviet Union’s own leaders, such as Nikita Khrushchev, who famously boasted in a speech to Western diplomats in 1956 that “we will bury you [the West].” As late as 1977, a leading academic textbook by an English economist argued that Soviet-style economies were superior to capitalist ones in terms of economic growth, providing full employment and price stability and even in producing people with altruistic motivation. Poor old Western capitalism did better only at providing political freedom. Indeed, the most widely used university textbook in economics, written by Nobel Prize–winner Paul Samuelson, repeatedly predicted the coming economic dominance of the Soviet Union. In the 1961 edition, Samuelson predicted that Soviet national income would overtake that of the United States possibly by 1984, but probably by 1997. In the 1980 edition there was little change in the analysis, though the two dates were delayed to 2002 and 2012. Though the policies of Stalin and subsequent Soviet leaders could produce rapid economic growth, they could not do so in a sustained way. By the 1970s, economic growth had all but stopped. The most important lesson is that extractive institutions cannot generate sustained technological change for two reasons: the lack of economic incentives and resistance by the elites. In addition, once all the very inefficiently used resources had been reallocated to industry, there were few economic gains to be had by fiat. Then the Soviet system hit a roadblock, with lack of innovation and poor economic incentives preventing any further progress. The only area in which the Soviets did manage to sustain some innovation was through enormous efforts in military and aerospace technology. As a result they managed to put the first dog, Leika, and the first man, Yuri Gagarin, in space. They also left the world the AK-47 as one of their legacies. Gosplan was the supposedly all-powerful planning agency in charge of the central planning of the Soviet economy. One of the benefits of the sequence of five-year plans written and administered by Gosplan was supposed to have been the long time horizon necessary for rational investment and innovation. In reality, what got implemented in Soviet industry had little to do with the five-year plans, which were frequently revised and rewritten or simply ignored. The development of industry took place on the basis of commands by Stalin and the Politburo, who changed their minds frequently and often completely revised their previous decisions. All plans were labeled “draft” or “preliminary.” Only one copy of a plan labeled “final”—that for light industry in 1939—has ever come to light. Stalin himself said in 1937 that “only bureaucrats can think that planning work ends with the creation of the plan. The creation of the plan is just the beginning. The real direction of the plan develops only after the putting together of the plan.” Stalin wanted to maximize his discretion to reward people or groups who were politically loyal, and punish those who were not. As for Gosplan, its main role was to provide Stalin with information so he could better monitor his friends and enemies. It actually tried to avoid making decisions. If you made a decision that turned out badly, you might get shot. Better to avoid all responsibility. An example of what could happen

What Info Should a Persona Provide? Good personas convey the relevant demographic, psychographic, behavioral, and needs-based attributes of your target customer. Personas should fit on a single page and provide a snapshot of the customer archetype that's quick to digest, and usually include the following information: Name Representative photograph Quote that conveys what they most care about Job title Demographics Needs/goals Relevant motivations and attitudes Related tasks and behaviors Frustrations/pain points with current solution Level of expertise/knowledge (in the relevant domain, e.g., level of computer savvy) Product usage context/environment (e.g., laptop in a loud, busy office or tablet on the couch at home) Technology adoption life cycle segment (for your product category) Any other salient attributes

Set the table: Decide exactly what you want. Clarity is essential. Write out your goals and objectives before you begin. Plan every day in advance: Think on paper. Every minute you spend in planning can save you five or ten minutes in execution. Apply the 80/20 Rule to everything: Twenty percent of your activities will account for 80 percent of your results. Always concentrate your efforts on that top 20 percent. Consider the consequences: Your most important tasks and priorities are those that can have the most serious consequences, positive or negative, on your life or work. Focus on these above all else. Practice creative procrastination: Since you can't do everything, you must learn to deliberately put off those tasks that are of low value so that you have enough time to do the few things that really count. Use the ABCDE Method continually: Before you begin work on a list of tasks, take a few moments to organize them by value and priority so you can be sure of working on your most important activities. Focus on key result areas: Identify and determine those results that you absolutely, positively have to get to do your job well, and work on them all day long. The Law of Three: Identify the three things you do in your work that account for 90 percent of your contribution, and focus on getting them done before anything else. You will then have more time for your family and personal life. Prepare thoroughly before you begin: Have everything you need at hand before you start. Assemble all the papers, information, tools, work materials, and numbers you might require so that you can get started and keep going. Take it one oil barrel at a time: You can accomplish the biggest and most complicated job if you just complete it one step at a time. Upgrade your key skills: The more knowledgeable and skilled you become at your key tasks, the faster you start them and the sooner you get them done. Leverage your special talents: Determine exactly what it is that you are very good at doing, or could be very good at, and throw your whole heart into doing those specific things very, very well. Identify your key constraints: Determine the bottlenecks or choke points, internal or external, that set the speed at which you achieve your most important goals, and focus on alleviating them. Put the pressure on yourself: Imagine that you have to leave town for a month, and work as if you had to get all your major tasks completed before you left. Maximize your personal power: Identify your periods of highest mental and physical energy each day, and structure your most important and demanding tasks around these times. Get lots of rest so you can perform at your best. Motivate yourself into action: Be your own cheerleader. Look for the good in every situation. Focus on the solution rather than the problem. Always be optimistic and constructive. Get out of the technological time sinks: Use technology to improve the quality of your communications, but do not allow yourself to become a slave to it. Learn to occasionally turn things off and leave them off. Slice and dice the task: Break large, complex tasks down into bite-sized pieces, and then do just one small part of the task to get started. Create large chunks of time: Organize your days around large blocks of time where you can concentrate for extended periods on your most important tasks. Develop a sense of urgency: Make a habit of moving fast on your key tasks. Become known as a person who does things quickly and well. Single handle every task: Set clear priorities, start immediately on your most important task, and then work without stopping until the job is 100 percent complete. This is the real key to high performance and maximum personal productivity.

Any social media application or platform should have a psychology test when signing up for a new account. That will detect people who are dangerous and who might have an influence to make others dangerous. People who will use social media for bad ,evil and wrong intentions. People who are not mental stable. Also people who can be easily influenced by bad advices. Then run an algorithm on which information those people can see. Put a disclaimer on some accounts of those who have a bipolar disorder or who are psychopath.

In an age where information is disseminated with unprecedented speed and reach, the study of disinformation is more crucial than ever. By dissecting the technologies employed, the motivations that fuel disinformation, and the distinct styles of deceit adopted, John Gillam aims to unravel the deliberate and ever-evolving use of falsehoods. His first book, Decoding Disinformation, is the first in a series about disinformation.