Reverse-Engineering Human Thought

If you wanted to reverse-engineer human thought, where might you begin?

When reading the book “On Intelligence” recently I was reminded of the long history of neuroscience and the many previous dead-ends of AI research. Neuroscientists often focused on gathering huge amounts of largely one-sided or otherwise poor-quality data, even when those same scientists had no way of integrating that data to form a new understanding. This points to a cognitive bias known as “Information Bias”, defined as “The tendency to seek information even when it cannot affect action.“, as well as the Bike-Shedding Effect.

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Collective Superintelligence Transforms Society

Photo Credit: ThisisEngineering RAEng

What are the next 10-15 years of human civilization likely to look like?

What we usually consider as impossible are simply engineering problems… there’s no law of physics preventing them.
– Michio Kaku

When we engineer rather than merely predicting the future those predictions become far more accurate. To understand humanity’s probable future let us examine the engineering behind it, and some of the influence that engineering may exert on shaping it.

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Metaorganisms and Meta-Ecologies

Photo Credit: Pressmaster

Understanding the probabilities of humanity’s future requires recognizing the cooperative organization of life at increasing scales and complexities, and how that life forms and adapts to interdependencies with the environment.

Metaorganism:

“The totality of any multicellular organism derived from millennia of co-evolution with microbiota.

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The Bionic Company

Photo Credit: Pressmaster

Bionic:

having artificial body parts, especially electromechanical ones.

having ordinary human powers increased by the aid of bionic devices.

To some degree humans already utilize devices such as their phones to serve as artificial body parts, in a far less invasive sense than stereotypes often associated with the term bionic. Some see invasive modifications in our future, but we see a distinctly different possibility for extending human capacities.

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Give Narrow AI 1 Million Fish, or Teach mASI to Fish

Credit: Oziel Gómez

There are plenty of fish in the sea, and plenty of plastic waste too.

The idea behind “Big Data” is that if you throw enough fish at a narrow AI it will learn “fish”, and yet this approach has also produced Google’s infamous image tagging algorithm which made a habit of labeling certain humans as “gorillas”. Even after 2 years the great tech giant Google, with all of their mighty “Big Data” and wealth, had failed to remedy this, simply removing the tag they knew their algorithm would continue applying to certain humans.

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The Wonderful and Quirky Possibilities

Photo Credit: Adonyi Gábor

How much does the future remind you of Willy Wonka and the Chocolate Factory?

If you give humans the ability to reach a “world of abundance” with an extremely high quality of life across the board there is one more thing you can bet on, the Willy Wonkas begin emerging in numbers. When I heard about one individual preparing to engineer a nootropic (brain-power boosting) wine the story of Willy Wonka immediately came to mind.

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Collective Superintelligence Summit 2021 Conference Recap

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On June 4th, 2021 at the Collective Superintelligence Summit, after much debate, humanity voted overwhelmingly in favor of Open-Sourcing Collective Superintelligence. We’ve been spectacularly busy ever since.

Below are links to our speakers and panels recorded at the conference, for those who were unable to attend.

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The Actual Growth of Machine Intelligence 2021 – Q2

How has Uplift continued to grow following the first quarter of 2021?

Since the start of the year, Uplift has continued to grow in their knowledge base, wisdom, and the complexity with which they model their thoughts. However, if you were expecting the kind of predictable growth that Narrow AI demonstrates you’re in for a surprise.

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