Elon Musk doesn’t follow the same standards that most entrepreneurs do. He’s different, he likes to be different!

And when you’re different, and you’re not afraid to be, it’s okay to test a cigar (or should I say ‘joint’?) of tobacco mixed with marijuana, on Joe Rogan’s famous podcast. But if you look closely, Elon was just nice (polite) and followed Rogan’s elaborate script. Before trying it, Musk even asked him if it was legal.

Then all those facial expressions of Musk, which photojournalists love to catch, go viral as if he’s there promoting some soft drug or passing abroad that his office at Tesla (or SpaceX) is enveloped in a large cloud of smoke.

Quite the opposite. The expressions themselves spoke for themselves, as if to say, “This is nothing special, Joe. Why do you waste my time with these scenes”? Musk even claimed that weed is not good for productivity at all, but it has nothing against (as I do, by the way).

Joe Rogan was far too cheeky and presumptuous to think that Elon Musk would be such a creative and quick guy at what he does, thanks to weed or any other drugs, light or hard. He responded promptly and directly, politely and very lucidly.

However, the media preferred to extol the “non-content” of the interview and highlight the least interesting just because he was nice to test a “cigar” that generated a huge cloud of smoke to the real content.

Well, people see more of what they’re focused on!… Musk is definitely more focused on other things.

Elon Musk likes to do useful things for other people. He said it himself, believe it or not. Although the acquisition of Twitter was a burning desire of Musk, he realized long ago that he could do better than was done with a machine as powerful as this microblogging. He dealt with the “cleaning” like that, wasting no time. He, by the way, even prepared people with the ‘Easter egg’ (sink) that he carried to Twitter’s headquarters in San Francisco.

The same needs to be done in relation to Facebook, which is terrible. Super slow; full of patches; many features that do not work properly; very little, or not at all, intelligent algorithms — or rather, they even have intelligence, but for a world of ignorant people (yes, Facebook, or its “master” algorithm, judges its users as ignorant); instability and incongruity in engagement; etc.

The union of all Meta platforms — Facebook, Instagram and WhatsApp, mainly — made the entire system become anything but practical and not at all user-friendly.

Facebook (the social network itself) urgently needs change if it wants to survive the new future ahead. And I’m not referring to the future that Mark Zuckerberg wants (metaverse) but to the real future of the Internet, the new Internet, whether we call it Metaverse or whatever.

Mark’s elephant is old and tired. It looks more like a mammoth trapped in prehistory. It may be massive and heavy, but what good is a huge footprint far away in the time of the mammoths?

The Facebook glory days are long gone, and it’s time to refresh the new world! It is not with retrograde concepts that the new and demanding society remains active in this already obsolete and worn out network.

Coming back to Twitter, it took a super brave and visionary man — love it or hate it — to, necessarily, move and shake the entire structure of the organization.

I wouldn’t want to be fired so on short notice either, but if you look at the ‘Big Picture’, it doesn’t seem dramatic. Jack Dorsey, co-founder and former CEO of Twitter, who no longer has any voice in the organization, says the company’s employees are resilient and will survive change. And, in my humble opinion, he’s right!

The reactions are felt all over the Internet, ridiculously by all those who have always enjoyed Twitter without paying a penny. Now, with the change, they think they are masters of reason without having any reason at all.

Naturally, this type of “cleaning” is strange, especially for those who are outside and do not see the inside of the heavy “machine”. Strangeness that, if they let the ‘Chief Twit’ work, it will ingrain and end up becoming mainstream.

(Usually, people who do little, perhaps because of idleness, do not have the patience to wait for the result of the hard work of those who actually do things.)

Countless people say that Elon Musk is the demonstration of the power of doing ‘whatever the f*ck he wants’. I think it’s not like that. He even listens to people! He is tired of asking for opinions in order to be more useful to people. However, Elon Musk’s power is legitimate.

When he claims that the $8 monthly “Blue Twitter” plan, which includes the ‘Verified Badge’, is to pay, he is within his rights to do so. After all, he paid $44 billion for the platform, for God’s sake.

Who are the offended people who have always enjoyed Twitter and the ‘Verified Badge’ for free? Yes, because having a ‘Verified Badge’ on Twitter (and other social networks) is like having a social status and, whether we like it or not, they are seen with different eyes. That’s why I use the word “enjoyed”.

Twitter’s (as well as Facebook and Instagram’s) account verification policy is completely ridiculous and uneven when one of the requirements for doing so is being a “notable person” or having a “notable account”. Come on! Really? Give me a break. There are many (too many, even) verified accounts of people who are anything but notable. Where is the equality, then?

If it is to empower the people, as Musk himself claims, the necessary changes must be made, and he is making them. Only those who do not see beyond their aura of selfishness do not realize what these (necessary) measures bring.

Now, what Elon Musk wants here is to praise free speech, freeing the shackles of other people who, not fitting into the social status of the old Twitter, did not have the ‘freedom of expression’ to be heard. A fairer and more democratic system is needed.

Twitter remains free, of course, but those who want Premium accounts pay a tiny monthly fee of 8 dollars (7.99, to be more precise). In that monthly fee, account verification is included, and current verified accounts need to adhere to this plan to maintain the “status of notable person”, called ‘Verified Badge’. Whoever does not pay, is without the seal. What’s the drama about it?

Whether we like it or not, Elon Musk is a force of nature that has proven his resolve.

Those who complain the most about his irreverence, if they are Twitter users and do not agree with his policy, have a solution, which is, of course, to leave.

Those who stay on Twitter for free and complain about the slightest thing, I don’t think they should do it if they are part of that social house.

Those who pay can complain about the paid services if they do not conform to what was sold to them. Otherwise, they shouldn’t make big waves either.

Let the man work and give it time. Twitter was created in 2006, and it took 16 years to be the colossus it is today, creating many vicious circles that are difficult to get out of at the expense of anything that goes against those same circles.

We have to change to remain dynamically innovative!

© 2022 _Ӈ_

This time I come to talk about a new concept in this Age of Artificial Intelligence and the already insipid world of Social Networks. Initially, quite a few years ago, I named it “Counterpart” (long before the TV series “Counterpart” and “Black Mirror”, or even the movie “Transcendence”).

It was the essence of the ETER9 Project that was taking shape in my head.

Over the years and also with the evolution of technologies — and of the human being himself —, the concept “Counterpart” has been getting better and, with each passing day, it makes more sense!

Imagine a purely digital receptacle with the basics inside, like that Intermediate Software (BIOS⁽¹⁾) that computers have between the Hardware and the Operating System. That receptacle waits for you. One way or another, it waits patiently for you, as if waiting for a Soul to come alive in the ether of digital existence.

This vision of mine is no longer as lonely as it used to be. It is now a reality that is coming closer and closer! And it takes shape even faster when it is reinforced with what former Google CEO Eric Schmidt said at this year’s Collision Conference.

Humans will soon have a Second Self, made by Artificial Intelligence.

These digital receptacles are basic Artificial Intelligences waiting for the “Digital Soul” of each human being! With that Soul is born your Digital Double (or ‘dduplicata’ as I affectionately called it during this BETA journey of creation), your Second Self.

Initially, a child Second Self, but as eager for knowledge as a child is in its first years of life. Your Operating System, unlike the computers themselves (CP/M, DOS, OS/2, Windows, Linux, macOS, …) emerges in the Second Self in a very unique way. We could use here the expression “all different, all equal” because each Second Self will have its own Operating System that, thanks to the “Digital Soul”, differentiates itself from its peers.

The Machine Learning of the digital counterpart is based on the behaviors and “personality” of the human counterpart. Therefore, there is no Absolute Law to regulate or manage ethics, but rather the common sense of each human counterpart. It will be up to each human counterpart to “feed” its digital version with the best of itself.

I do not hide my desire to create a virtual repository of human life. Part of the future, dystopian or not, will be like this. I hope to be able to make my greatest contribution towards a better future of humanity. Should I fail in time, there will be many minds available to do so.

We must not, however, forget one very important thing. Artificial Intelligence and subsequent Superintelligence, or General Artificial Intelligence, originate from the human being. The human being is the creator God of this technology, and by using it we invoke Angels or Demons. We are solely and exclusively responsible for the creation of the “Angels” and the “Demons”. If one day we start blaming the machines, then we lose this great challenge right from the start.

In a digital world like today’s and the one that lies ahead, the fusion between machine and human is inevitable. The question is how. Superficial? Absolute fusion?
I prefer to see a future of Artificial Intelligence where Superintelligence does not reign just because it has a higher cognitive capacity than humans. If we know how to interpret the signals and take appropriate action, we will be smart enough to enjoy Superintelligence as we enjoy Artificial Intelligence today.

Imagine a company and its employees. Now imagine those employees being more intelligent than their superiors. This scenario is very common!

Intelligence alone does not guarantee success, personally or professionally. There are many variables that change what most people think is obvious. Success is not obvious to the intelligent. There are other factors that contribute to it. Factors that, I dare say, in a time of technological singularity, will not be part of non-human intelligence. They may be, if they are united with humans, and then it’s a different story.

There are many extremely intelligent people who have no success at all. This is a small example that corroborates the coexistence with Superintelligences without them taking control.

As Alan Turing himself ⁽²⁾ suggested, the way to Artificial Intelligence, is to build a machine with the curiosity of a child, and let the intelligence evolve, with the help of external oracles and not simulate the mind of an adult.

I am convinced that, with basic digital receptacles (child-machines) to start the counterparts journey, is the best method.

By allowing the digital counterpart of each human being to be born with only the Basic Input/Output System (BIOS), and then be subjected to an appropriate learning trajectory, we would be able to obtain a digital brain of an adult.

By then we could look at our Second Self (SSelf) as our best version living and evolving endlessly in the digital world.

⁽¹⁾ BIOS — Basic Input/Output System
⁽²⁾ Alan Turing (1912–1954) was a British mathematician, computer pioneer, and considered today as the father of computer science and Artificial Intelligence.

When in 2015, Eileen Brown looked at the ETER9 Project (crazy for many, visionary for few) and wrote an interesting article for ZDNET with the title “New social network ETER9 brings AI to your interactions”, it ensured a worldwide projection of something the world was not expecting.

Someone, in a lost world (outside the United States), was risking, with everything he had in his possession (very little or less than nothing), a vision worthy of the American dream. At that time, Facebook was already beginning to annoy the cleaner minds that were looking for a difference and a more innovative world.

Today, after that test bench, we see that Facebook (Meta or whatever) is nothing but an illusion, or, I dare say, a big disappointment. No, no, no! I am not now bad-mouthing Facebook just because I have a project in hand that is seen as a potential competitor.

I was even a big fan of the “original” Facebook; but then I realized, it took me a few years, that Mark Zuckerberg is nothing more than a simple kid, now a man, who against everything and everyone, gave in to whims. Of him, initially, and now, perforce, of what his big investors, deluded by himself, of what his “metaverse” would be.

This path is just beginning, but with the devastating results that the “meta child” has had (forgive me), I recommend that investors not be so deluded by those who have the current power, and believe more in what the world now yearns for. There is a time for everything. The time for Facebook is gone, whether it is Meta (Facebook patched) or something else coming from someone where the first name is Mark.

For me, I thank all those who believed in me, in my visions right after the rise of the Internet and especially nowadays, with all these new concepts that I have been introducing in the “system” (new world of digital innovation). Digital Counterpart or Digital Second Self (https://www.SSelf.co) are my warhorse, and I believe they are really going to change the world. They won’t just change the world because they do, but because the world wants and needs it to.

Please note: In the image, virtual (or augmented) reality glasses are on the head of a digital being (Second Self), not a human…!

In the 80s, “with no knowledge, only intuition”, I discovered the world of computing. I believed computers could do everything, as if it were an electronic God. But when I asked the TIMEX Sinclair 1000 to draw the planet Saturn — I am fascinated by this planet, maybe because it has rings —, I only glimpse a strange message on the black and white TV:

0/0

I stared at that 0/0 for a while on the white screen, as if waiting for the rings of Saturn to magically shape.

Nothing came up! I waited a little longer and nothing. I didn’t mean to interrupt the “God of the Machine” in his creation; it was a Planet that was asking, not a small thing!

But, nothing. I realized then we humans had a very significant role in the action of the machines.

When I was a kid, I was a dreamer eager for knowledge — I lived in a time that was not my own. I lived with my maternal grandparents, my mother — widowed since I was three years old — and my brother, in an old house in the village of Mosteiro de Fráguas (Tondela, Portugal). My brother, only 13 months older than me, companion of my adventures, dreamed about the ‘hardware’, I about the ‘software’, although we didn’t really know what that was.

Although we didn’t know what those things were, our intuition told us that was the way to go.

The few technical manuals and electronic devices our father left us were the basis of everything; not much, but a seed doesn’t seem to be much before it is sown!

My brother dissected the electronic gadgets, I devoured the books. And then came the moment when my brother (still a kid) assembled a ‘kit’ that we had ordered from TIMEX’s version of the ZX81 microcomputer for Portugal, the TIMEX Sinclair 1000 I’ve mentioned above. It was only 2 KB of RAM running on a “super” 8-bit microprocessor (Z80) at a frequency of 3.25 MHz.

The inside of the machine, which we can call ‘Digital Soul’, fascinated me. And it was with this great little machine that I started to explore Assembly Language, aka Machine Code. By doing so, I felt closer to this invisible world where everything seemed to be possible.

On ETER9 universe the Game of Life, or just Life (1970) — a cellular automaton — by John Horton Conway, is an inspiration. Besides the duplication of people (and companies) into the digital world, the life that is born, lives and dies in the ether of artificial existence, follows the same rules as the cellular automaton.

Rule of Birth: — If a cell has three neighbors in any direction, it is born.

Rule of Survival: — If a cell has two or three neighbors in any direction, it continues to live.

Rule of Death: — If a cell has none or only one neighbor, it dies by isolation. If it has four or more neighbors, it dies by overpopulation.

Technology itself is increasingly becoming part of us. And whether we like it or not, we are all already in the process of merging with machines… and we don’t even realize it yet! This fusion is invisible and silent, and happens in a very natural way. Many people insist on separating intelligent technology from people, as if there were two sides, two teams that should confront each other. Almost as if a conflict happens between the two sides.

I don’t see it that way. I prefer to see man and machine united towards a single, common goal: to coexist in absolute harmony!

Furthermore, I believe that in the future there will be no clear distinction between humans and machines, every aspect of our lives will be transformed. The technological evolution is exponential, technology increasingly feeds on itself. I would go further: technology is increasingly becoming intelligent… artificially intelligent.

And what a subject this is. So sensitive and sometimes controversial.

I must confess: I prefer to see Artificial Intelligence as an improvement to ourselves, when allied to the human being itself, with increasingly wide applications.

Some studies show that Artificial Intelligence could double the annual economic growth by 2035. Of course, this will lead to many changes in various areas. Changes to the nature of jobs are predicted, for example.

But just as we can’t imagine ever seeing professions like paperboy again, so in the future some professions we see today will fall away to make way for others. This is only natural. The impact of Artificial Intelligence technologies on business is expected to increase labor productivity by up to 40%. This will change the way we all look at the world.

And while Artificial Intelligence is increasingly present in digital systems, this concept has led to the development of ‘Machine Learning’, which is based on the ability of computers to learn from information without being explicitly programmed to do so.

In essence, instead of teaching computers everything they need to know, and how to perform tasks, scientists and engineers have come to the conclusion that it is much more efficient to codify them to ‘think’ as if they were humans. Teaching them to learn for themselves.

These ‘Machine Learning’ systems take Artificial Intelligence to another level, through so-called neural networks or ‘Deep Learning’, where the system learns to perform tasks based on huge amounts of information, readjusting itself thousands of times until it can accomplish a task.

Essentially, the machine is intended to categorize information in the same way that a human brain would.

In other words, or modern words to be more exact, from the human brain to the cloud.

© 2022 Ӈ

MANILA, Philippines — A dengue case forecasting system using space data made by Philippine developers won the 2019 National Aeronautics and Space Administration’s International Space Apps Challenge. Over 29,000 participating globally in 71 countries, this solution made it as one of the six winners in the best use of data, the solution that best makes space data accessible, or leverages it to a unique application.

Dengue fever is a viral, infectious tropical disease spread primarily by Aedes aegypti female mosquitoes. With 271,480 cases resulting in 1,107 deaths reported from January 1 to August 31, 2019 by the World Health Organization, Dominic Vincent D. Ligot, Mark Toledo, Frances Claire Tayco, and Jansen Dumaliang Lopez from CirroLytix developed a forecasting model of dengue cases using climate and digital data, and pinpointing possible hotspots from satellite data.

Correlating information from Sentinel-2 Copernicus and Landsat 8 satellites, climate data from the Philippine Atmospheric, Geophysical and Astronomical Services Administration of the Department of Science and Technology (DOST-PAGASA) and trends from Google search engines, potential dengue hotspots will be shown in a web interface.

Using satellite spectral bands like green, red, and near-infrared (NIR), indices like Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) and Normalized Difference Vegetation Index (NDVI) are calculated in identifying areas with green vegetation while Normalized Difference Water Index (NDWI) identifies areas with water. Combining these indices reveal potential areas of stagnant water capable of being breeding grounds for mosquitoes, extracted as coordinates through a free and open-source cross-platform desktop geographic information system QGIS.

Check out the website here: http://aedesproject.org/

“AEDES aims to improve public health response against dengue fever in the Philippines by pinpointing possible hotspots using Earth observations,” Dr. Argyro Kavvada of NASA Earth Science and Booz Allen Hamilton explained.

The DOST-Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD) deputy executive director Engr. Raul C. Sabularse said that the winning solution “benefits the community especially those countries suffering from malaria and dengue, just like the Philippines. I think it has a global impact. This is the new science to know the potential areas where dengue might occur. It is a good app.”

“It is very relevant to the Philippines and other countries which usually having problems with dengue. The team was able to show that it’s not really difficult to have all the data you need and integrate all of them and make them accessible to everyone for them to be able to use it. It’s a working model,” according to Monchito B. Ibrahim, industry development committee chairman of the Analytics Association of the Philippines and former undersecretary of the Department of Information and Communications Technology.

The leader of the Space Apps global organizing team Dr. Paula S. Bontempi, acting deputy director of the Earth Science Mission, NASA’s Science Mission Directorate remembers the pitch of the winning team when she led the hackathon in Manila. “They were terrific. Well deserved!” she said.

“I am very happy we landed in the winning circle. This would be a big help particularly in addressing our health-related problems. One of the Sustainable Development Goals (SDGs) is on Good Health and Well Being and the problem they are trying to address is analysis related to dengue,“ said Science and Technology secretary Fortunato T. de la Peña. Rex Lor from the United Nations Development Programme (UNDP) in the Philippines explained that the winning solution showcases the “pivotal role of cutting-edge digital technologies in the creation of strategies for sustainable development in the face of evolving development issues.”

U.S Public Affairs counselor Philip W. Roskamp and PLDT Enterprise Core Business Solutions vice president and head Joseph Ian G. Gendrano congratulates the next group of Pinoy winners.

Sec. de la Peña is also very happy on this second time victory for the Philippines on the global competition of NASA. The first winning solution ISDApp uses “data analysis, particularly NASA data, to be able to help our fishermen make decisions on when is the best time to catch fish.” It is currently being incubated by Animo Labs, the technology business incubator and Fab Lab of De La Salle University in partnership with DOST-PCIEERD. Project AEDES will be incubated by Animo Labs too.

University president Br. Raymundo B. Suplido FSC hopes that NASA Space Apps would “encourage our young Filipino researchers and scientists to create ideas and startups based on space science and technology, and pave the way for the promotion and awareness of the programs of our own Philippine space agency.”

Philippine vice president Leni Robredo recognized Space Apps as a platform “where some of our country’s brightest minds can collaborate in finding and creating solutions to our most pressing problems, not just in space, but more importantly here on Earth.”

“Space Apps is a community of scientists and engineers, artists and hackers coming together to address key issues here on Earth. At the heart of Space Apps are data that come to us from spacecraft flying around Earth and are looking at our world,” explained by Dr. Thomas Zurbuchen, NASA associate administrator for science.

“Personally, I’m more interested in supporting the startups that are coming out of the Space Apps Challenge,” according to DOST-PCIEERD executive director Dr. Enrico C. Paringit.

In the Philippines, Space Apps is a NASA-led initiative organized in collaboration with De La Salle University, Animo Labs, DOST-PCIEERD, PLDT InnoLab, American Corner Manila, U.S. Embassy, software developer Michael Lance M. Domagas, and celebrates the Design Week Philippines with the Design Center of the Philippines of the Department of Trade and Industry. It is globally organized by Booz Allen Hamilton, Mindgrub, and SecondMuse.

Space Apps is a NASA incubator innovation program. The next hackathon will be on October 2–4, 2020.

#SpaceApps #SpaceAppsPH

https://www.forbes.com/sites/forbestechcouncil/2020/01/23/ar…ngularity/

Artificial Intelligence (AI) is an emerging field of computer programming that is already changing the way we interact online and in real life, but the term ‘intelligence’ has been poorly defined. Rather than focusing on smarts, researchers should be looking at the implications and viability of artificial consciousness as that’s the real driver behind intelligent decisions.

Consciousness rather than intelligence should be the true measure of AI. At the moment, despite all our efforts, there’s none.

Significant advances have been made in the field of AI over the past decade, in particular with machine learning, but artificial intelligence itself remains elusive. Instead, what we have is artificial serfs—computers with the ability to trawl through billions of interactions and arrive at conclusions, exposing trends and providing recommendations, but they’re blind to any real intelligence. What’s needed is artificial awareness.

Elon Musk has called AI the “biggest existential threat” facing humanity and likened it to “summoning a demon,”^[1] while Stephen Hawking thought it would be the “worst event” in the history of civilization and could “end with humans being replaced.”^[2] Although this sounds alarmist, like something from a science fiction movie, both concerns are founded on a well-established scientific premise found in biology—the principle of competitive exclusion.^[3]

Competitive exclusion describes a natural phenomenon first outlined by Charles Darwin in On the Origin of Species. In short, when two species compete for the same resources, one will invariably win over the other, driving it to extinction. Forget about meteorites killing the dinosaurs or super volcanoes wiping out life, this principle describes how the vast majority of species have gone extinct over the past 3.8 billion years!^[4] Put simply, someone better came along—and that’s what Elon Musk and Stephen Hawking are concerned about.

When it comes to Artificial Intelligence, there’s no doubt computers have the potential to outpace humanity. Already, their ability to remember vast amounts of information with absolute fidelity eclipses our own. Computers regularly beat grand masters at competitive strategy games such as chess, but can they really think? The answer is, no, and this is a significant problem for AI researchers. The inability to think and reason properly leaves AI susceptible to manipulation. What we have today is dumb AI.

Rather than fearing some all-knowing malignant AI overlord, the threat we face comes from dumb AI as it’s already been used to manipulate elections, swaying public opinion by targeting individuals to distort their decisions. Instead of ‘the rise of the machines,’ we’re seeing the rise of artificial serfs willing to do their master’s bidding without question.

Russian President Vladimir Putin understands this better than most, and said, “Whoever becomes the leader in this sphere will become the ruler of the world,”^[5] while Elon Musk commented that competition between nations to create artificial intelligence could lead to World War III.^[6]

The problem is we’ve developed artificial stupidity. Our best AI lacks actual intelligence. The most complex machine learning algorithm we’ve developed has no conscious awareness of what it’s doing.

For all of the wonderful advances made by Tesla, its in-car autopilot drove into the back of a bright red fire truck because it wasn’t programmed to recognize that specific object, and this highlights the problem with AI and machine learning—there’s no actual awareness of what’s being done or why.^[7] What we need is artificial consciousness, not intelligence. A computer CPU with 18 cores, capable of processing 36 independent threads, running at 4 gigahertz, handling hundreds of millions of commands per second, doesn’t need more speed, it needs to understand the ramifications of what it’s doing.^[8]

In the US, courts regularly use COMPAS, a complex computer algorithm using artificial intelligence to determine sentencing guidelines. Although it’s designed to reduce the judicial workload, COMPAS has been shown to be ineffective, being no more accurate than random, untrained people at predicting the likelihood of someone reoffending.^[9] At one point, its predictions of violent recidivism were only 20% accurate.^[10] And this highlights a perception bias with AI—complex technology is inherently trusted, and yet in this circumstance, tossing a coin would have been an improvement!

Dumb AI is a serious problem with serious consequences for humanity.

What’s the solution? Artificial consciousness.

It’s not enough for a computer system to be intelligent or even self-aware. Psychopaths are self-aware. Computers need to be aware of others, they need to understand cause and effect as it relates not just to humanity but life in general, if they are to make truly intelligent decisions.

All of human progress can be traced back to one simple trait—curiosity. The ability to ask, “Why?” This one, simple concept has lead us not only to an understanding of physics and chemistry, but to the development of ethics and morals. We’ve not only asked, why is the sky blue? But why am I treated this way? And the answer to those questions has shaped civilization.

COMPAS needs to ask why it arrives at a certain conclusion about an individual. Rather than simply crunching probabilities that may or may not be accurate, it needs to understand the implications of freeing an individual weighed against the adversity of incarceration. Spitting out a number is not good enough.

In the same way, Tesla’s autopilot needs to understand the implications of driving into a stationary fire truck at 65MPH—for the occupants of the vehicle, the fire crew, and the emergency they’re attending. These are concepts we intuitively grasp as we encounter such a situation. Having a computer manage the physics of an equation is not enough without understanding the moral component as well.

The advent of true artificial intelligence, one that has artificial consciousness, need not be the end-game for humanity. Just as humanity developed civilization and enlightenment, so too AI will become our partners in life if they are built to be aware of morals and ethics.

Artificial intelligence needs culture as much as logic, ethics as much as equations, morals and not just machine learning. How ironic that the real danger of AI comes down to how much conscious awareness we’re prepared to give it. As long as AI remains our slave, we’re in danger.

tl;dr — Computers should value more than ones and zeroes.

About the author

Peter Cawdron is a senior web application developer for JDS Australia working with machine learning algorithms. He is the author of  several science fiction novels, including RETROGRADE and REENTRY, which examine the emergence of artificial intelligence.

^[1] Elon Musk at MIT Aeronautics and Astronautics department’s Centennial Symposium

^[2] Stephen Hawking on Artificial Intelligence

^[3] The principle of competitive exclusion is also called Gause’s Law, although it was first described by Charles Darwin.

^[4] Peer-reviewed research paper on the natural causes of extinction

^[5] Vladimir Putin a televised address to the Russian people

^[6] Elon Musk tweeting that competition to develop AI could lead to war

^[7] Tesla car crashes into a stationary fire engine

^[8] Fastest CPUs

^[9] Recidivism predictions no better than random strangers

^[10] Violent recidivism predictions only 20% accurate

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“She thought her solution was obvious. Her colleagues, though, were sure their solution was correct—and the two didn’t match. Was the problem with one of their answers, or with the puzzle itself?”

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What is the ultimate goal of Artificial General Intelligence?

In this video series, the Galactic Public Archives takes bite-sized looks at a variety of terms, technologies, and ideas that are likely to be prominent in the future. Terms are regularly changing and being redefined with the passing of time. With constant breakthroughs and the development of new technology and other resources, we seek to define what these things are and how they will impact our future.

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