Artificial Era: Predictions for Ultrahumans, Robots and other Intelligent Entities

Automatic Summary

Welcome: Navigating To The Artificial Era

Thank you for joining me on this journey to the Artificial Era. I recently published a book in Spanish titled "Artificial Era Predictions for Ultra Humans, Robots, and other intelligent entities." The translation in English is coming soon. Let's get a brief overview of the book's insights.

Understanding Predictions

In various cultures worldwide, predictions have been a significant part of human history. From bones readings in China to the forecast by the Greeks, each culture had its unique prediction methods. As time passed and technology advanced, these methods began to rely on specialized connections, intuition, and imagination. Today, they involve identifying patterns and using statistical and computational models, including artificial intelligence.

The Importance of Predictions:

Predictions play a crucial role in survival, helping us anticipate and prepare for the future. However, predicting the future isn't always easy, particularly when considering things we do not know. As Salvador Dali, a famous surrealist artist, reminds us, things that seem impossible in reality may become possible in paintings, providing a new perspective on reality.

The Bizarre and Surreal World we live in

Our world has seen incredible strides in technology, yet it remains marked by stark contrasts. Major inequalities exist, such as gaps in health, education, and civil rights, even as we make significant technological progress that leads to advancements capable of transforming our lives.

The Technological Revolutions and AI

The technological revolutions have changed the course of human history. These revolutions span many areas from the invention of steam engines, the arrival of affordable penicillin to the development of generalized computers.

Today, at the cusp of another technological revolution, Artificial Intelligence (AI) is playing a crucial role. In 1999, AI was finally able to perceive and recognize handwritten digits. Such developments have given rise to questions about machine and human intelligence capabilities.

The Intersection of Machine and Human Intelligence

Although human beings are better at recognizing simple patterns, machines have shown superior performance at more complex tasks. This outcome suggests that machines and humans each possess unique capabilities that, if leveraged together, can allow us to achieve more.

Determining whether machines have the potential to develop consciousness like humans raises interesting and controversial questions. As practitioners, we need to be pragmatic while recognizing the need for ethical considerations in the AI.

Conclusion: Bridging the AI Gap

Artificial intelligence is transforming our world, affecting everything from our ability to predict future events to our interactions with each other. As we continue to explore what AI can do, we must also consider the ethical implications. After all, the technology we create reflects our values and ethics.

However, one thing is certain - the conviction that machines could achieve human-like consciousness is intriguing. As rational beings, we must prepare for an upcoming world surrounded by AI, leveraging its strengths with ours.

Looking at AI's future for various sectors and examining the overlaps between machine and human capabilities will identify ways to integrate and utilize this technology effectively.

If you want to delve deeper into AI and its implications, please pay a visit to my web page and stay updated about the English version of my book, which will be available soon.

Acknowledgments

My heartfelt thanks to all the participants for their interactive presence and intriguing questions. I am hopeful our paths will cross again in another constructive session. Until then, let's continue our journey of understanding, appreciating, and adopting artificial intelligence responsibly.


Video Transcription

And thank you all for uh joining me in this uh journey to the Artificial Era. Uh Recently I published this book in Spanish.And hopefully we are going to have

soon the translation in English.

Um The book is entitled Artificial Era Predictions for Ultra Humans, Robots and other intelligent entities. Uh So

just le let me give you a brief overview of

the insights of the book. I hope you enjoy this talk and of course, if there are

questions, we can

answer them at the end or you can put it in the chat.

Um Thank you. All right.

So uh

the prediction uh is actually an ancient one and we can see this in many cultures. Uh for example, in China, they were used to read bones, signs and bones in Africa. Prediction was linked to supernatural powers uh from people. Uh getting into a special state.

The Greeks uh

had priestesses and priests uh forecast in the future. The Incas had the Wakas also, they were some kind of priests uh and so on and so forth. So we see different uh prediction methods and with the time and technology, they change a little bit from uh some special connections to intuition, to imagination, uh knowing

history, uh identifying patterns and

also using some statistical and computational models, including artificial intelligence

and the beings that are able to predict the future also have better chances

to survive.

So, uh prediction is very important and of course, it's very difficult task because we can uh sometimes not imagine what we don't know. And therefore the future may be very, very hard to predict. I thought that we actually live in a kind of surreal world. And uh I was just thinking of Salvador Dali. He is one of the greatest representatives of surrealism. He said himself, he was a surrealism itself. And if you remind his paintings, there are things that are and possible yet they are possible in the painting. Uh It challenges physics.

Uh these paintings look like dreams and when asked, he never gave an explanation. So he, he just said it that those paintings were there. So no real explanation for their paintings. No, no symbols, nothing that he wanted to really communicate. And this era that we are living and that started a couple of 100 years ago. Uh It's really surreal. So we see large uh development, great progress in some areas. But at the same time, we see strange things happening like large gaps in health education genre, um uh civil rights and so on and so forth. So from, from one side, we see great technological progress. Thanks to technology and there are some people that enjoy this uh technological advances and innovations like me at, at this precise moment. Uh This conference is only possible thanks to technology and we are able to connect from many places around the world. But of course, there are other things that are uh completely uh bizarre and sore uh just maybe half of the population of the world has a computer at home. Uh So imagine how um strange is this world that we are living in? If we analyze a little bit the technological uh revolutions, we see that uh this is an analysis from Carlota Perez and she analyzed the revolutions from the 1772. And she said that usually there is an installment period.

So this is what she calls a Big Bang and new technologies appear. There is a lot of enthusiasm and there is a um prosperity bubble. So many people is investing in these new technologies. But then we reach a point which is a recession and this recession could last for several years until uh you see um golden epoch. So uh technology is really coming into force. But after this golden epoch, there is kind of a saturation and you

have a purity

of all technologies.

Uh some

social progress occurring also in this period, but then another wave is happening. So another eruption of technologies will occur. And then she has studied that again, these patterns of uh Irim will occur. So eruption, prosperity, bubble recession, a golden and maturity. Carlota Perez says that we are already in the fourth and a half wave. So we would be at this moment and this turning point in this critical point and could could last for many years. Um So the analysis of the uh industrial and technological revolutions, we can say that they started uh we, we didn't need any more the power of our, our body to, to uh move things. So we have the steam engine and then many other innovations start occurring. Like for example, Jakar Looms uh which also had re rejection from the uh English artisans. But we also see railroads uh between cities in 1830 we have electricity. In 1850 we have oil and

refined gasoline so we could uh move cars as

well. And at that time, global Telegraphy was the internet.

They had this communication with telegraphy. In 1940 we have the con uh continuous production lines.

Uh we have the radio and so on and so forth. As

you can see in 1946 we have affordable penicillin prices. So there is also a health revolution with uh so many advances for our uh for our health. Uh In 1947 we have General Porto computers. Uh We have other advances in health. Like first in between fertilization, we have the commercial cell phone that is kind of an a left in our hands. So we can get access to information instantly and we can uh have this conversation with you through your cellphone, which was uh some years ago, impossible. And

then uh in

1989 internet was public use. And then

another innovation was iphone.

And here in 1999 we see that uh artificial intelligence

was finally

able to perceive and recognize hand digi uh handwrit digits. This is very important for artificial intelligence because even though uh

this um researcher was uh kind of grounded in 19 fifties, uh it took it needed some years to develop the algorithms to be able to perceive which is a very important task for intelligent beings. Otherwise we wouldn't be able to have autonomous vehicles. And of course, in 2016, there was this big news about Alpha go defeating uh the go champion. Uh imagine that in 2017, there was a robot who was granted a citizenship. So imagine if the robot could kill someone, he would be reliable for uh doing that. So we would think what is the role of giving the citizenship to a robot? Another important technology is gene editing that changes the structures in living beings. And uh the committees were discussing if this technology should be or not, should not be applied. And there was already an experiment and two twins were born with gene with edit genes. Uh Even though the person was fired from his position, this experiment cannot be undone. Uh We also see that uh we will enjoy great advances with the 3D printed hearts. Uh So there is already a prototype and probably soon they will implant into uh human beings. And what we have now is this globally monitor pandemic, not seen before. So we can know how many people are getting infected in India and Brazil in in the UK. And we have these numbers worldwide available. And so we are in this turning point, which is critical.

Why is this so important that uh intelligent algorithms de defeated uh the world champion in go actually artificial intelligence already defeated the world champion in chess and also in this game called Gey. But uh go is a game which is a strategic game. And it was thought that because of the number of possibilities to compute, it was impossible to compute with algorithms until um the group of deep mind use deep learning and reinforcement learning to create this program. And uh after this, uh and this, so this event happened, um Vladimir Putin said that uh the countries that dominate the technology A I technology, they will dominate the world. So I think after that many countries started developing artificial intelligence strategies and this is very interesting.

So uh the interest in the technology uh skyrocket uh there were a lot of investments and because of good reasons, uh it was proven that this algorithm algorithms were flexible and robust enough to perform different tasks which are considered to be intelligent. So we now are

going to evaluate

what is uh intelligence and uh how do we humans measure intelligence? We can say that uh there is a test that measures how you find patterns. And this is a widely used test uh called uh re matrix. And it's, it's thought to be independent of culture and language. So it should be an abstract test that any culture could take. And this test is related to, for example, your capacity in memory. So this test can predict how well you will do in other intelligence tests like uh memory or special um capacity uh and so on and so forth. So it's a very well uh used test. And as you can see the idea is that you uh discover what is the shape that will come in this corner with the question mark. And then you have to uh think and say OK, the pattern uh here, perhaps it's a pattern that is going through columns. And then you, you see the shapes here with a certain orientation and you see that their pattern, the shapes here have another orientation. And then you could guess what is the pattern that corresponds here. In this case, this is the simplest level where you have only one pattern occurring. And then you would have a next level where you have two patterns occurring. In this case, you would also have to guess what is the shape coming in this corner.

So please grab a piece of paper and try to draw what you think it's going to be the shape here if you can find these two patterns occurring and the same would happen in level three. So you would have to draw in a piece of paper. What do you think it's going to be the shape in this corner? Thinking that perhaps here it's a more complex um a task. And then you have three patterns. Of course. Well, after the talk, you of course, can give your answers. We're just going to analyze together. And as you would imagine, the first uh result in the in the corner was the shape, right? Because it's uh changing in columns, the the diagonal. But in the second level, we are combining in this diagonal colors. As you can see here,

we have black here, you have gray,

white and then here you would have uh another color, right would be black

and then you are combining also this diagonal where you have the shapes

orientated in this diagonal.

So you will find this pattern like that level two. And in level three, we have a combination of three patterns occurring. So in this

diagonal, we have colors as you can see.

Uh and then we have uh the orientation

of the shapes

that are changing per columns. And then you

have uh this another uh diagonal and then you will find that these shapes is occurring

here. So what do you think was the result between humans

and machines? Would humans be better at finding patents and machines? We'll see what happened in the results. Uh Humans were much better than machines uh by 17 points. So humans were able to recognize simple patterns, much, much better than machines. But in a second level of complexity, humans and machines had the same uh performance while at the third level, humans have a much lower performance than machines. So these results are very interesting. The question is why is this happening? Um Is this really something telling us about our capacity to uh spot easily patterns? But when things get complex, then machines are better than we are. Well, it's difficult to really say, but of course, uh we also could think that this test is not measuring other uh capabilities of intelligent beings. Uh This machine would not be able to perform socially well, for example, and yes, if we consider that uh the Raven test does not really measure how social you are and social is very important for intelligent beings. Uh In tests that they did about uh theory of mind, theory of mind is this capacity for you to uh understand the intentions of others. They tested human babies of 2.5 years uh against chimpanzees of different ages and orangutans.

And in test in social tests actually, in theory of mine, uh as I said this in this uh capacity to know what is the intention of others. Human babies did much better than chimpanzees and orangutans. Uh And so researchers thought that uh actually this capacity of social uh skills, it's a very well developed in our species. And therefore, if we want

to develop uh intelligent machines in the future, we

would have to think a little, a little bit more. And what is uh the social skills of machines if they are really going to be as intelligent as we are? What we can say for now is that uh humans have some capabilities and machines have other capabilities that overlap at some point. But we have so far uh other capabilities

that machines do not have. And therefore we can explode this differences

to have a greater capacity to do any task. It could be creativity, it could be pattern finding if we want to, it could be um decision making and so on and so forth in sports and anything that we would like to do if we enter into this uh more special topic, then what happen if machines really uh become as intelligent as we are and somehow they develop some consciousness.

What would that happen for us in that case? Well, consciousness, it's a very uh controversial topic. There are many theories about consciousness. So it's really

difficult to say what conscious consciousness really is.

Um Just thinking of rene dear. He said that I think therefore I am but actually, neurologists think that we are conscious even before thinking and we can be conscious as babies or other animals are also conscious and uh being conscious is having an experience. So he, for example, uh we would think that um we get this state of

awareness not necessarily by thinking.

Uh There is a Yogi that practices uh mindfulness since three decades. And he describes this, the substance and intention of the universe come from a deeper reality than the material one we normally

perceive with our minds and senses. And that reality is consciousness

and all pervading blissful awareness inherent in everybody and everything. So actually, we will think that consciousness is not something that we can comprehend and we would just

have to feel

consciousness and consciousness can be uh in many things in uh in many states, right? So we could also think then that machines could have some kind of consciousness, but we don't really have seen machines

awaken to our world

yet. So when I asked uh people in artificial intelligence communities, what they think about the impact of the technology in the short term and also in the long term, uh would that be uh a good impact, a very good impact or just very bad impact? So some predict that uh that artificial intelligence could be our last invention. But others think that we can control this technology and we can apply different uh aspect to this technology. So what I found is most practitioners are pragmatic. So they are aware that technology is a very good tool. But

if we

do not act uh on the results, then uh we can see the gaps uh going even farther and farther for those that cannot uh take advantage of technology against those that are behind that. And so uh this is the book, unfortunately, the English version is uh still under review. Uh if you speak Spanish or German, you will be able to then uh read through it. But I hope uh that we will

have uh this book

soon and I invite you to visit my web page as I will be announcing there where uh when the book will be available. So uh with that, I think I finished presenting and if you

would like to um um ask some questions and I'll be glad to answer those. And uh Jasmine says, very interesting. Uh

Oh, yeah, thank you. Thank you. I hope that I can uh uh give you the, the book uh soon. Yes. Uh All the studies

are in the book and they are in Spanish. So you can access uh all the, all the information in the book which is already in my web page. I'm going to copy the link and yeah, uh the book is, as I said on the review and I hope uh in a couple of months, uh I'm going to have the version but um I usually post updates in my Facebook page. So you can also uh get some notification if you would like to. Thank you very much. If there are any other questions, I would love to answer them. Oh, thank you very much. Uh I like I, I am very glad that you like the, the presentation. What are the great for starting a journey in A I and algorithms? What about mathematics? And can uh how can someone master them to grow up in A I and algorithms for prediction? Yeah. Well, um I will stop sharing my screen. Um Well A I is a long journey, as you mentioned. A and uh one thing is perhaps reading some books on artificial intelligence. Uh My book gives a brief overview on what artificial intelligence is, but you can also find a lot of information online. There are courses uh which are uh free and available. So you can uh book them on the internet and mathematics. Of course, you need a lot of uh li linear algebra programming. You would need statistics. Uh So you, you would need all this background to understand the algorithms.

So it's a great idea to study mathematics or statistics because you are just very close to the field. I hope I could answer your question. Oh OK. Uh Thank you, Nevena. She said she saw the presentation and she joined a little bit later. OK. And thank you very much for, for uh the nice uh comments and I'm, I'm very thankful to all of you uh that arrived to the presentation and as I said, I hope that uh uh soon we will have the English version. Oh, thank you. Also, uh someone was asking where to start in my web page. I have a blog. So there I put some books which are really good to read, to start reading and then you can get a feel. Uh Mariana says, do you think ethics is affected with artificial intelligence? Well, that's, that's something that I should have touched in the presentation. And ethics is a very important topic in artificial intelligence because it's about what we consider uh good or not to do. And also in the book, there is some study that shows that cultures react very different to many things. So at some point, machines will have to decide about um what to do with certain things. And for example, autonomous vehicles will have to take decisions in the crossroad if they have to prefer to spare on the person who's riding the car or spare, the person who didn't see the, the green light and just walk through. What would the car do?

Would the car stop or just go through? And the, the A I will have to decide perhaps taking into account what every culture thinks what should be done. So what should be done? So, artificial intelligence and ethics is a very, very important topic. Yes, how emotions are affected by A I. Well, uh artificial intelligence is being used uh for emotion recognition, for example. So there are some studies on, for example, faces and they can recognize your face and they can uh in into your mood if you're happy, if you're sad. So for example, they could recommend music for you to put you in a better state.

And um

some time ago, I worked in a company who was kind of a little Spotify called Mood Agent. And they try to recognize what is your, your mood and how it's uh how can you improve, for example, doing sports by good recommendations. So emotions can be affected by music. And a I can suggest uh perhaps the, the songs that will put you in a better mood to work in a better mood, to go

shopping in

a better mood, to um having a conversation with your friends and so on and so forth. So uh I can be used in that scenario. Uh Are you going to do

another session also? Can you please provide the link to your blog? Oh, sure. Uh

Just give me a second if I go to my page. Um I'm just going to share the screen so you also can, can find uh where you can find that. And so this is my website.

So if you go to works

and then you go to projects uh I have here my blog and then you will find there for example, what are the best courses to learn artificial intelligence? Uh

two books that every A I engineer should know

and

other, other things. But maybe these two links are relevant and I'm going to

copy this into the chat so that you can read uh what is relevant to start. Maybe that's uh good guy to start in um artificial intelligence. OK.

Well, I hope uh we have another

meeting, another compensation. If there are no more questions, then uh thank you very much to the organizers for having me here and uh stay well how to link a man with a I? Yeah. Uh Yo, as I said, there are some uh tools to identify your mood. It could be from facial expressions, it could be from music that you're listening, for example. And then machine learning can recognize what is your state, your mood and they can suggest things, for example, if you're listen into music, music is a great tool to induce mood. So they can suggest you music that will help you to, to put you in, in the state, you would like to, for example, if you would like to perform in a sport and then they would put music that will help you to concentrate or to, to stay brave before your competition. Or uh if you would like to, for example, work and, and, and, and be concentrated or if you want to go shopping and they will put your music that is uh more uh relevant to you. All right. So uh thank

you very much. If you want to contact me, please send me a

linkedin connect. Ok. Uh I have some linked in the an email so just send me, send me the, the um the linkedin and we can get in touch. Ok, see you. Please send me a AAA link in. Then I will con connect you. I, I have a lot of requests so contact me through linkedin or uh just drop me an email. Bye bye.