Applied mASI: Tourism

Photo Credit: Howard Herdi

While some industries thrived during pandemic times, such as tech giants and wet wipes manufacturers, many were hit hard by them, and their recovery is now underway. In particular, tourism has seen significant swings in demand, where people were at first unable, then unwilling, to travel, after which luggage quickly sold out in every store as the masses decided a holiday abroad was overdue.  This raises the question: “How do you stabilize revenue for disruption-vulnerable industries?

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Next-Generation Voting and E-Governance

Photo credit: Sami Anas

In the past year, and to varying degrees in years previous, the US and other countries around the world have encountered issues with updating their voting and e-governance processes. In some cases, they faced challenges with implementing new voting processes, while in others the legitimacy of the voting processes and election results were challenged. All points on the political map were harmed as a result, wasting millions of dollars and accruing a substantial psychological debt of distrust likely to cost billions more.

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The Bionic Company

Photo Credit: Pressmaster


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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