I am a human being.

 Like any one, I am not a machine. I am not AI  I only have human intelligence, cast in my genes

Why Google  inspired new 8 to 20 characters passwords?Because the obsession with security. No matter how safe we are, someone breaks the system in a year or so. This is an infinite loop, I imagine this conversationwho are you? 

 I am Nx#!?%271\

These words are not made for humans, who don't  have the ability to memorize, never mind understand  them. 

The google password application tells to me to change 150 passwords. This will take me 3 days, if I am lucky

Of course this is a free app, because it is almost useless. They have more on a subscription base, more geeky. Some people write on paper each password, a very boring task, devoid of any  human pleasure

This shows that Google security quest,  made them forget  who  the users really are.

Google and  II am  a consultant working  from a home office. I am not from Harvard, MIT , etc.Google  would never  ask me an opinion,This  is a Flesh Thought. From a Dadaist  ConsultantI make a living from these Flash Thoughts

Hype

The whole hype and hysteria about Artificial Intelligence (AI)  began  in 1950s . This blog is an  'aha" blog after reading an article in The MIT Reader. It gave me the clear words to express what I always knew - AI is not a replacement  for Human Intelligence

This article is adapted from Herbert Roitblat’s book “Algorithms Are Not Enough: Creating General Artificial Intelligence.”

In the lasts seventy years, we thought it will be possible to soon create a machine that was capable of matching the full scope and level of achievement of human intelligence has been greeted with equal amounts of hype and hysteria. We’ve now succeeded in creating machines that can solve specific fairly narrow problems — “smart” machines that can diagnose disease, drive cars, understand speech, and beat us at chess — but general intelligence remains elusive.

Let’s get this out of the way: Improvements in machine intelligence will not lead to runaway machine-led revolutions. They may change the kind of jobs that people do, but they will not spell the end of human existence. There will be no robo-apocalypse.

AI is for problems that have a clear goal and a set number of possible solutions. But we humans are creative, irrational, and inconsistent.

 We humans may sometimes behave like computers, but more often, we are creative, irrational, and not always too bright.

InsightInsight problems generally cannot be solved by a step-by-step procedure, like an algorithm, or if they can, the process is extremely tedious. Instead, insight problems are characterized by a kind of restructuring of the solver’s approach to the problem. One exampleHere is a sequence of four numbers: 8, 5, 4, 9. Predict the next numbers in this sequence.If you’re having trouble, try writing out the names of digits in English:Eight five four nineThe correct answer is 1, 7, 6.The full sequence is:Eight five four nine one seven six three two zero.They are listed in alphabetical order of their English names. The usual representation of the series as digits ordered numerically must be replaced by a representation in which the English names are ordered alphabetically.The two strings problemThe two-strings problem, which was studied by the experimental psychologist Norman Raymond Frederick Maier in 1931. Imagine you are in a room with two strings hanging from the ceiling. Your task is to tie them together. In the room with you and the strings are a table, a wrench, a screwdriver, and a lighter. The strings are far enough apart that you cannot reach them both at the same time. How can these strings be tied together?The string problem can be solved by using one of the tools as a weight at the end of one of the strings so that you can swing it and catch it while holding the other string. The insight is the recognition that the screwdriver can be used not just to turn screws but also as a pendulum weight.

People do not always behave in the systematic ways suggested by logical thought. These deviations are not glitches or bugs in human thought but essential features that enable human intelligence. 

Quirks of Human Intelligence"Psychologists have found that people make different choices when presented with the same alternatives, depending on how the alternatives are described.  "We have a complexity to our thinking and intellectual processes that is not always in our favor. We jump to conclusions. We are more easily persuaded by arguments that we prefer to be true or that are presented in one context or another. We do sometimes behave like computers, but more often, we are sloppy and inconsistent."Hardly a day goes by without a call for some kind of regulation of artificial intelligence, either because it is too stupid (for example, face recognition) or imminently too intelligent to be trusted. But good policy requires a realistic view of what the actual capabilities of computers are and what they have the potential to become. If all that is necessary for a machine learning system is to engage its analytic capabilities, then the machine is likely to exceed the capabilities of humans solving similar problems. Analytic problem solving is directly applicable to systems that gain their capabilities through optimization of a set of parameters. On the other hand, if the problem requires divergent thinking, commonsense knowledge, or creativity, then computers will continue to lag behind humans for some time.Decisions are made by humans  Digitalization is very complex and is almost impossible to manage and finetune without an observability application like for example Splunk.These observability apps vary significantly the results depending on (1) being a beginner, (2 an  intermediary, or (3) an experienced team of users, and C level executivesObservability shows, once again, that humans are responsible for the best decisions of a #digitaltransformationplatform. Not machines, not AI algorithms, ML, HPC. Observability depends upon the experience of the most suited executives, who have a clarity never possible before. Humans may make errors, but they bring sentiments and feelings machines don't have.  Humans, not machines can bring  the irrational fascination Apple computer has upon ordinary peopleTelepathyEveryone who reads this blog and feels a "click",  shows a spiritual osmosis that unites us and a telepathic relief that we are not alone. It is impossible for AI to tell us what to do.No AI Could Create the Dada  Art Movement  Agents Provocateurs: Ringleaders of the Surrealist Circus

 I am an “idea entrepreneur” My potential clientsYou’re an entrepreneur looking for a thought-partner to help you imagine and create a platform for your idea, A thought-leader seeking help organizing  his idea for the market,An executive in need of a ghost to research and write your manuscript,A  guru with insights to share and stories to tellAn organization creating a human consciousness as part of their cultureI striver to deliver high-quality and high-impact research and writing that suits your purpose.What I do

I build a coordinated effort around a deeply felt idea affecting how people think, behave to encourage subtle changes in an organizationI take your idea public, which means entering the “ideaplex”, a  place where things go viralI aim to move more people with an idea, they will embrace it on a gut levelThe ideas allow respiration, by which others breathe life into it

Edge Computing where commerce happens

Technical experts often don’t know what goals to give our AI systems, because we don’t know what we really want.  Teaching robots to be good, we might find a way to teach ourselves. I think we are in the process to teach ourselves what an Edge isAdvancing Human Consciousness in Edge designFor every dollar and every minute we invest in improving artificial intelligence, it would be wise to invest a dollar and a minute in advancing human consciousness. Nobody does this now Technical experts in Edge Computing are human. They must be aware that any AI will finally affect how happy an end user is“Edge Strategy” is to discover new and lucrative ways to monetize your company’s foundational assets. This is hugeEricsson will create  a 200 billions dollars revenue stream by applying a dry concept called Network Slicing In digitalized word, High Performance Computing (HPC)  is essential We need to research and disclose the end user wishes the the cloud engineers. And vice versa.Breeding  HappinessHere’s how Mihaly Csikszentmihalyi described the state of flow: “being completely involved in an activity for its own sake. The ego falls away. Every action, movement, and thought follows inevitably from the previous one, like playing jazz. Your whole being is involved, and you’re using your skills to the utmost.”Languishing as a sense of emptiness, stagnation and ennui. It was coined by a sociologist Corey Keyes and immortalized by a philosopher, Mariah Carey. The COVID pandemic is main source of contemporary languishingWhen you're languishing, it just feels like you're muddling through your days, looking at your life through a foggy windshield. The changes I propose are to eliminate languishing and bring people in a state of Flow and implicitly happiness