Reflecting on Humans & Machines: Building Digital Superminds To Run the World

Reflecting on Humans & Machines: Building Digital Superminds To Run the World

Reflecting on Cyber Humanity: Building Digital Superminds To Run the World

Superminds are redefining the future of innovation strategy, collaboration and technology management.

By working togetherr, humans and computers are able to push more boundaries.

What Are Superminds?

According to the MIT Sloan Review, "superminds are human groups that accomplish several things acting together in ways that seem intelligent. Superminds have a kind of collective intelligence, an ability to do things that the individuals in the groups couldn’t have done alone. Virtually all human achievements have been made by groups of people, not lone individuals. As we incorporate smart technologies further into traditionally human processes, an even more powerful form of collaboration is emerging. "

What is Fundamentally Lacking with Human Minds?

Cyberhumanity.jpg

Humans are mostly sentimental creatures guided by prejudices and biases, opinions and sentiments, and now massively manipulated by recommendation engines and all sorts of information filtering systems.

As James noted, “A great many people think they are thinking when they are merely rearranging their prejudices.”

The rest are just pragmatics looking for practical things, everyday businesses, commonplace things, interests and useful ends.

Only a very few of us are intelligent people governed by ideas, ideals and speculations.

And we all are marked with hundreds cognitive biases, like the eponymous Dunning-Kruger Effect, whereby people who are incompetent at something are unable to recognize their own incompetence.

‘The scope of people's ignorance is often invisible to them. This meta-ignorance (or ignorance of ignorance) arises because lack of expertise and knowledge often hides in the realm of the “unknown unknowns” or is disguised by erroneous beliefs and background knowledge…’.

32-42% of software engineers rated their skills as being in the top 5% of their companies; 21% of Americans believe that it’s ‘very likely’ or ‘fairly likely’ that they’ll become millionaires within the next 10 years, etc.

The Dunning-Kruger Effect Shows Why Some People Think They're Great Even When Their Work Is Terrible

We are thinking of entities only by name, and doomed to be enhanced or replaced by real AI entities.

As, seemingly, Einstein said:

‘Two things are infinite: the universe and human stupidity; and I’m not sure about the universe!’

More widespread than the actual stupidity is the playing stupid, turning off your ear, not listening, not seeing, not to be responsible, fair, just, moral, true, intelligent and wise.

A lot of Americans, including Trump, think that they won’t bear the global risk of climate change until 2050 or 2100, and that other parts of the world will be affected, not the US, not their state, their city, or their community.

About half of Americans don’t think climate change will affect them — here’s why

Now should I mention how many people believe in supernatural beings, flat Earth, geocentric models or that it is quite reasonable for 1 % of the world’s population to possess 99% of the world’s wealth.

“Two percent of the people think; three percent of the people think they think; and ninety-five percent of the people would rather die than think.” ― George Bernard Shaw

Thus, no intelligent machines, nor any sustainable future for humanity.

Marrying Humans and Machines to Run the World

Are Innovation Clusters Dying

[Intelligent] Computing Machinery has been fast evolving through 5 stages:

  • Automated tools, as cyberspace, electronic networks, the internet, the web, its sites, as FB, Google, or Wikipedia, search engines, smartphones with various applications, automata, etc.;
  • Automated assistants, virtual assistants, bots, self-driving cars, narrow AI applications, ML/DL platforms, the Internet of Things, neural nets or big data analytics, etc.;
  • Autonomous peers, cognitive robotics, general MI/AI/DL;
  • Supervising managers, superintelligent robots, digital superintelligences, etc.;
  • Global cyber-human superminds (individual superminds, companies, communities, democracies, markets and ecosystems cum superintelligent bots, digital superintelligences, superhuman MIs).

Human and machine powers are most productively harnessed by designing hybrid human- machine intelligence cyber-physical networks in which each party complements each other’s strengths and counterbalances each other’s weaknesses.

Since the pandemic turned the world upside down, the governments and organizations were forced to invest rapidly in AI/ML, big data, predictive analytics, business intelligence and data software to understand what is going on in the world and make basic data-driven decisions and predictions.

Global AI as Human-Machine Intelligence and Learning COULD be developed in 5 YEARS.

No humans will be replaced with the HMIL, or Global AI:

HMIL = AI + ML + DL + NLU + 6G+ Bio-, Nano-, Cognitive engineering + Robotics + SC, QC + the Internet of Everything + Human Minds + MME, BCE + Digital Superintelligence = Encyclopedic Intelligence = Real AI = Global AI = Global Supermind.

Conclusion

Human and machine powers are most productively harnessed by designing hybrid human-AI machine networks in which each party complements each other’s strengths and counterbalances each other’s weaknesses.

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  • Lynn Kempen

    Clearly the ability to string together numerous words is not representative of the impartation of wisdom.

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Azamat Abdoullaev

Tech Expert

Azamat Abdoullaev is a leading ontologist and theoretical physicist who introduced a universal world model as a standard ontology/semantics for human beings and computing machines. He holds a Ph.D. in mathematics and theoretical physics. 

   

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