Podcast 2: The Rise of the Robots - Contenido educativo

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Subido el 9 de abril de 2026 por Carlos C.

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Carlos Cid, Alberto Corredera and Borja Martín have an interesting conversation on the current impact of robotics in many different fields of our lives.

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Hello everyone, how are you guys today? 00:00:02

We are here for the second episode of this project podcast and we are dealing today with 00:00:35

the rise of the robots. 00:00:42

I'm Carlos Cid and I'm here today with Alberto Corredera. 00:00:43

Hello. 00:00:47

How are you? 00:00:48

I'm Víctor Borja Martín. 00:00:49

Hi. 00:00:50

Okay. 00:00:51

We are going to talk about many different fields related to the rise of the robots, 00:00:52

such as housework, cars, space race. 00:00:57

and well do you want to start with any particular point or any particular topic to deal with in this 00:01:01

first block what do you guys think about the rise of the robot and the current impact as you can see 00:01:10

here well i think we would like to start with a current impact or the situation right now that 00:01:17

It seems to be that after the first revolution of the robots, robots today are very present 00:01:26

on the news because of their advance in many, many industries like the military industry 00:01:34

or, you know, in war or drones and many others. 00:01:43

Sorry? 00:01:50

world if military industry such as as many unfortunately we talk about war and the drones 00:01:51

that we can see in the tv shows that are currently having an impact in in every war around the world 00:01:59

in every world the world what do you think what do you think yes i think we've seen already 00:02:07

huge impact maybe here in Europe even a little less than perhaps in America the 00:02:17

US with autonomous driving for example like it seems to be the norm like I 00:02:24

heard not so long ago a person that lives in San Francisco telling that is 00:02:31

like taking out of a movie like how every car is driving itself in the city 00:02:36

of San Francisco. 00:02:42

Yeah, 00:02:45

probably we'll see more 00:02:46

like that here in Europe as well. 00:02:47

Yeah. 00:02:50

Well, 00:02:51

this 00:02:52

film that we have 00:02:53

in the background is 00:02:56

the celebration of the new year, 00:02:57

the new Chinese year. 00:03:00

Yeah, Chinese New Year. 00:03:01

Or the Chinese New Year 00:03:02

from this 2026. 00:03:04

So, 00:03:07

I think it's 00:03:07

everyone was amazed about, 00:03:09

you know, 00:03:11

what the humanoid robots achieve in terms of dancing. 00:03:12

They may parkour, you know, even martial arts, 00:03:20

dancing with the kids and so on. 00:03:27

So it was quite a demonstration, don't you think, Carlos? 00:03:29

Yeah. What do you guys think about this? 00:03:33

Are you guys thrilling or afraid about this situation 00:03:36

with robots currently around the world? 00:03:39

Because, I don't know, would you guys fancy having these robots in our current lives, in every field, at home or at work? 00:03:41

What do you guys think? 00:03:53

Because as you can see here in this video, we have here in China many high-skill robots with a lot of movements, human-like movements. 00:03:54

so they are perfectly developed as you can check right here what do you guys think are you guys 00:04:07

thrilling with this afraid for the future first time i saw this i was a little bit scared to be 00:04:15

honest because i immediately thought what what's preventing them from i don't know making an army 00:04:23

of these things right then and sending them to foreign countries so i don't know but the answer 00:04:29

to add is battery like right now battery is a limitation for these robots i think at most they 00:04:36

can function like two or three hours it does not a problem a problem in factories maybe 00:04:43

because they have their power stations where they can plug in and recharge but yeah we're 00:04:49

not in danger yet i think what do you think well i'm quite a fan of the futuristic films that we 00:04:57

in the past I imagine the matrix where the batteries were us the human beings so 00:05:06

the machines develop a new way of turning themselves using us as energy 00:05:13

well we can think about any other but the thing is nowadays these robots are programmed by us 00:05:20

by humans and they are treating to imitate humans. I think we need to 00:05:31

decide what we really need. I mean because if you 00:05:39

have a job that is dangerous or maybe you can use a humanoid to do this 00:05:46

is part of the dangerous job instead of sending a human. 00:05:56

But I mean, this would be linked to the military industry 00:06:02

as well. 00:06:12

But I raise this subject of the race of the robots 00:06:12

because it's kind of a new industrial revolution. 00:06:17

Because in the past, you think about the, you know, 00:06:21

machines in agriculture, 00:06:26

teaching to multiply the work of the human beings 00:06:31

by 10 times if you are going to plant 00:06:37

or you are going to make this kind of task 00:06:44

that you need to do in the field, so. 00:06:48

And what about the batteries that you were talking about when we talk about war and space race for these robots? 00:06:51

What about those battery challenges that we have with these robots related to the war and the space race? 00:07:01

We are back in the moon right now. 00:07:08

Yesterday, we had a spaceship again in the moon. 00:07:11

But what about having a robot there in this space race that China, USA, and Russia has? 00:07:15

What do you guys think about those battery challenges? 00:07:26

Could we have an improvement for the robots and the battery in the near future to make them even more, I don't know, thrilling or scaring, as Borja said before? 00:07:29

What do you guys think? 00:07:43

how may what is the pace we have for the improvement of the batteries for another 00:07:44

dimension mission to the moon I think the next phase is actually the playing 00:07:52

robots because they want to be able to to do research in deep space and for 00:07:59

that the far side of the moon is very useful because waves are not blocked by 00:08:05

the earth so they want actually to deploy a net of robots that they're going to deploy and they're 00:08:10

going to they want to build like an antenna like a huge antenna that can send signals to this space 00:08:17

and that's next phase so i imagine if they have that planned like they have some kind of 00:08:25

research going on or some kind of solution for this for this problem but if we talk about war 00:08:33

If we talk about autonomous weapons, I think it's still further into the future, I think, 00:08:40

because they have battery needs, of course, and they have to be able to tell apart a friend 00:08:47

from foe, you know, a friend from the enemy, and that's not so easy to do. 00:08:56

So apparently that's going to take longer, but right now, I don't know if you heard, 00:09:01

guys but um donald trump made a deal with open ai i think and they're gonna precisely to do research 00:09:06

in autonomous weapons so that's a bit scary like donald trump right now has a deal with open ai 00:09:17

just to research on this what links this subject to ai i mean robots and ai because it is this 00:09:23

this new hype, let's say, of the robots comes because the intelligence that can be provided 00:09:32

to these robots is bigger and they can be more autonomous, especially making decisions that 00:09:40

we can program by now. Do you think both are directly connected? I mean, AI with robots? 00:09:49

Do you think that if we improve the AI systems, it's going to have a huge impact on robots right now? 00:09:56

Yes, absolutely. 00:10:06

For instance, the battery thing. 00:10:08

Once the robot is aware of itself that he needs some battery, 00:10:10

He can recharge itself and even produce energy again for recharging itself. 00:10:18

So, but what I mean, we have physical barriers. 00:10:28

For instance, we're talking about the moon. 00:10:36

There's no, you know, we can't breathe in the moon. 00:10:39

We can do many other things that a robot can do. 00:10:42

so uh robots are absolutely key that remember when we send the probe to mars 00:10:46

and that was just a probe but uh this was um 00:10:53

one of the first i was always wondering why didn't test this near in the moon 00:10:59

so that we can have some more uh you know background about how they behave because 00:11:07

is you know we we are insisting in mars because it's more similar to the to the earth than other 00:11:15

planets but i think that the the behavior of these uh robots uh in you know in in a place where 00:11:21

uh there are big barriers for the human being i think it can be tested nearby and there are 00:11:31

many fields in in which we need the robots first and a space room space race 00:11:41

for example is is key if we have robots over there in in in the space and many 00:11:46

other fields as well as such as say I for example so we'll see we'll see what 00:11:54

happened in the future with this evolution how they evolve do you want to 00:11:59

comment any i i just wanted to comment that at the same time that ai is very important or key or 00:12:04

compulsory for the for the robots industry i think china is very important as well 00:12:16

so as we were commenting before the this recording and i think without china it can be done because 00:12:23

uh maybe you you have the data right now yes i i think close to 90 percent of uh human robots sold 00:12:32

in the world today are made by china uh you can see what they they can achieve in this video 00:12:42

the level of coordination that they have um i think they're already a big part of the workforce 00:12:49

in some countries south korea also i i just read that they have lots of robots employed in factories 00:12:56

and if you think about it i think it's logical that very repetitive tasks in the end they're 00:13:05

going to be especially dangerous ones they're going to be performed by these robots and we're 00:13:11

going to have to adapt to that as a workforce we can talk about that later maybe in a later block 00:13:16

but yeah China right now I think is leading the race as we can see 00:13:24

yes okay I just wanted to mention one key part that maybe what's different now is precisely AI 00:13:32

like robotics they were able to build the structure they already have the physicality 00:13:39

of the road that's figured out but we didn't have the brain the difference is now we have the brain 00:13:48

So the AI can analyze the surroundings, it can think, they can learn patterns, 00:13:54

movement patterns, way more complex than before, just because they have these AI systems behind. 00:14:01

And this is the product of a lot of simulations that AI can do. 00:14:07

Yeah, but there is room for improvements and... 00:14:13

Yeah, absolutely, absolutely. But what I mean is, without AI this is not possible. 00:14:16

this is the accumulation of iterative learning by models that made this possible. 00:14:21

Yeah, let's talk about the next block, which is educational robots, as you can check here. 00:14:34

Okay. And for this second block, we are having two different videos to show how the implementation of robots in real classrooms are having a real impact on students and on teachers as well. 00:14:42

And we are going to comment these videos later as well. 00:15:02

volume adventure in learning with an eye toward the future robots are joining a 00:15:06

Boston high school classroom it's entirely up to the students what the 00:15:14

room is pretty cool so it's just the first wave of robots coming to schools 00:15:19

around Boston WBC's Paula Edmond shows us in tonight's eye on education a robot 00:15:22

that does its own introductions the first one at Boston's English high 00:15:36

school and it's a learning tool for the school's let's go let's play both I 00:15:40

thought we have it for the following well this is a unique adventure in 00:16:16

learning with an eye toward the future robots are joining a Boston high school 00:16:30

classroom and it's entirely up to the students what the robots can do. That's pretty cool. So 00:16:35

it's just the first wave of robots coming to schools around Boston. WBC's Paula Edmond shows 00:16:40

us in tonight's Eye on Education. My name is Pepper. I'm a humanoid robot and I'm 1.20 meters 00:16:44

tall. A robot that does its own introduction. The first one at Boston's English High School 00:16:54

and it's a learning tool for the school's computer science students pepper is a humanoid that's for 00:17:00

sure pepper dances with the best of them fist bumps with a flare and plays a mean air saxophone 00:17:08

and it's all because the young people here have programmed it to do all those things 00:17:15

hello how are you today i'm good how are you i'm good thank you the company that makes pepper 00:17:20

SoftBank Robotics is donating 50 of the robots to Boston public high schools. 00:17:26

You're trying to get students interested in STEM, science, technology, engineering, 00:17:31

mathematics. Pepper comes with an almost clean slate. Students do the work of 00:17:36

bringing it alive. Sometimes when it talks back to you think like it's a 00:17:44

person and it's comfortable because she's so friendly. Howie Horner teaches 00:17:48

computer science. We have students now who are thinking about a career in 00:17:53

robotics. We have students who are thinking about what it means to work 00:17:56

with robots using math. Like it helps me a lot in my career and my hopes are to 00:17:59

like to combine technology with medicine. And for the students who are coding and 00:18:05

programming it's like yeah nailed it. I'm glad you're doing well. Have a nice day. 00:18:11

new to pepper the demonstration at english high kicked off computer science week in the city 00:18:17

officials hope to have these robots in all boston high schools by the end of the school year wow 00:18:24

we'll check back in in a few months to find out who pepper's going to the prom with oh that too 00:18:29

and i would program it to like do my homework smart thank you 00:18:33

yeah we're gonna come in this one what do you guys think i feel astonished when i 00:18:36

check this interaction and this cooperation among students and teachers 00:18:50

with these sort of robots in classrooms, in real classrooms, because they are 00:18:55

useful for such a different subject, not only in science, but also you can even 00:19:02

speak with the robots in English. I'm an English teacher, so if we have a 00:19:08

robot in classroom, we can have many different robots creating different 00:19:13

groups to talk about any different topic with the students so it's 00:19:19

thrilling the situation with the reopening classroom in the future I 00:19:24

think we are not having this type of classrooms right now for every kind of 00:19:28

student around the world because the investment we have to assume for or take 00:19:34

over for this situation in every classroom in every high school it's huge 00:19:42

and massive for the governments, but it's kind of cool to check these 00:19:46

robots inside. What do you guys think? Do you think those robots can boost the 00:19:53

cooperation or interaction among students and teachers? Do you think we'll 00:19:59

have a robot in classroom in the future, in the near future? 00:20:04

I'm not sure what to think to be honest. On the one side it's exciting, on the other side... 00:20:10

I don't know. I don't know if kids are going to be that interested in robots because 00:20:22

they said in the video they want to make students interested in STEM like science and math and all 00:20:29

all that but the experience right now because i've been visiting schools because my son is 00:20:37

starting school next year they don't seem to pay much attention to robots and they want to still do 00:20:42

things by themselves by hand and they want to interact with each other but how how were those 00:20:48

robots were like like these ones speaking no it's not the same but well it's still robotics you know 00:20:55

like they can do they can go around the circuit maybe or you can program 00:21:02

patterns of movement and it's very simple yeah maybe this will be different 00:21:07

but I don't know useful but we still need teachers yeah yeah of course 00:21:13

both and I we're computer science teachers and you are an English teacher 00:21:21

I think it will be a big help for you because you can multiply yourself during the class and 00:21:27

among different 00:21:35

Activities and 00:21:40

Why not one of them could be a one of the robots can learn 00:21:42

I mean can can teach to the to the students how to make a simple circuit and the basics of 00:21:46

you know 00:21:54

electricity and the other I can be prepared to other experience so up maybe 00:21:56

You will be happy because you don't need the teacher 00:22:03

Specialized teachers anymore 00:22:07

Robots as assistants like yeah for for helping me. That's that could be a huge impact. Yeah, I think so 00:22:09

I'm multitasking as well 00:22:16

It's the the biggest challenge for for those robots. We are just developing one task 00:22:18

Well, I think that also what I think is that these robots can help with, you know, students 00:22:24

with special needs in terms of learning. 00:22:34

Because you can focus on understanding if someone has, you know, problems with hearing 00:22:38

or bad and, you know, can be autistic and it can be using pictograms or things like that. So, 00:22:49

you can be more focused on the student as well. So, in the future, I think that we have to find 00:22:59

the correct measure between some help because we're not actually using this kind of help. 00:23:07

and we have to find our our slot as teacher as well because we have to evolve as well so 00:23:14

and i made more different dynamics in the classroom yeah i agree with you yeah let's 00:23:23

check the the second one i had a really great instructor at my school who every year tried to 00:23:30

get me interested in the robotics team and this year he says i have a student who's creating an 00:24:01

all-girls team. And that really sparked my interest. Once we got the word out there, 00:24:07

there were a lot of girls that came out of the woodwork and were like, hey, we want to be on 00:24:11

robotics. Being an all-girls team is really, you know, empowering. It does teach you a lot and it 00:24:15

makes you feel really good. And there really is that push to get more in the STEM field. 00:24:23

As they're building these robots, they're really gaining their STEM skills. You know, science, 00:24:29

technology, engineering, and math skills are going to last them well throughout their lifetime. 00:24:33

Mechanical engineering is just one of those things that like 00:24:38

it's hands-on and I'm a very hands-on person. You get to see all the knowledge that you've gained 00:24:42

either online or in the classroom be put into use in real life. So in the classroom you might 00:24:46

be learning about mechanics within physics but in robotics you get to actually apply that knowledge 00:24:51

and you actually get to see it work for something which I think is really cool. A lot of what I've 00:24:57

learned is problem solving and working through things that come at you that kind of frustrate 00:25:01

you like we'll have our claw not closing properly on a robot or something will always go wrong 00:25:06

before a match but it's that like perseverance to like keep fixing it and keep going that like 00:25:12

makes the whole experience so great it's a really good mix between energy that comes from 00:25:16

competition and cooperation because a lot of the games here they require immense teamwork a lot of 00:25:20

of communication between teams that you've just met. 00:25:27

It's a really great experience. 00:25:30

We're going to grab one of the cubes, 00:25:32

and you guys are going to grab the other. 00:25:33

I think the best thing about our team 00:25:35

is none of us had any experience at the beginning of the year. 00:25:36

And so just being able to bounce ideas off of each other, 00:25:39

we're all there to support each other. 00:25:43

Yeah! 00:25:45

Just having those STEM opportunities 00:25:47

and bringing that moment to life for someone 00:25:49

can continue them on that pathway 00:25:50

and encourage them in a future career field. 00:25:52

Here we have another different situation which high school students are like 00:25:55

building and coding different robots to compete in a showdown, a fighting robot 00:26:07

showdown. So what do you guys think about it? Because how could robots improve the 00:26:14

situation among, for example, we as teachers and the proper students. Do you 00:26:23

think there is a way to have the three of us inside a classroom and we can have 00:26:29

an average of collaboration among all of us to improve, to learn better? What do 00:26:37

you guys think? Or do you think that in the future we'll only have robots 00:26:44

like teaching inside the classroom and we are not necessary for for that what 00:26:49

do you think about the video about this situation among these three parts about 00:26:55

the video I have to say that I agree 100% what the students are saying because 00:27:00

one thing robotics has for computer science you can actually see in the 00:27:05

world you have the direct feedback with what you build and that's really 00:27:10

engaging. And it really teaches problem-solving, like one of the 00:27:16

students was saying that maybe a claw doesn't close properly, so you have to 00:27:22

figure out how to fix that. And when you fix that, you see it in the real world, 00:27:25

and that's really motivating. So robotics are a great way to get students in 00:27:28

competition areas problem-solving and all those skills. It was one of the best subjects I did 00:27:35

back to college. I could build a robot that had to go around the circuit and crash. 00:27:41

And it was one of the best experiences I've had. So I think it's because of this 00:27:47

direct feedback between real world and what you just did on the computer. 00:27:53

Well, what I see from this last video is that in this case the robotics is the 00:27:59

media is the tool you use to develop your skills. So, as Borja said, you have to have 00:28:04

the vision to foresee what will be the difficulties and try to solve in advance all the problems 00:28:16

you are going to find especially i i have made myself some this kind of uh um contest or fights 00:28:27

between robots and it's on one hand is it's very funny it's you have fun uh with that and 00:28:35

it is a question of strategy as well because you have to balance because every normally all the 00:28:44

teams has more or less set the same resources for to build the same robot but but the robot itself 00:28:51

is is your product is is not uh the one who is teaching you so they of course is very important 00:28:59

and it can be as you mentioned you can mix different um skills or skills with different 00:29:08

And you can use mathematics in the thinking or even motivation, competencies. 00:29:17

That's the word I was looking for. 00:29:29

So, yeah, here we have so many different skills that children develop thanks to educational robot. 00:29:32

And for the Fighting Robot Showdown, I think, for example, creativity and imagination, proactive spirit, teamwork, critical thinking over there are key for this video we have checked. 00:29:41

And we can improve with the students those competencies and those skills with the help of the robots. 00:29:58

or building or coding robots to create a fighting showdown 00:30:05

or whatever you want to code or build. 00:30:10

So there are many, many rooms for improvement 00:30:13

in many different fields, as you can check here. 00:30:18

I don't know if all of them that we have here, 00:30:23

I don't know if, for example, self-esteem, 00:30:26

you can improve, well, maybe you can improve your self-esteem 00:30:29

when you are building or 00:30:32

cooperating with other 00:30:34

students. It's a good feeling when you build 00:30:36

something that works. 00:30:38

If it works, indeed. 00:30:40

No, but in the end it works. 00:30:42

You just work on it, you 00:30:44

put your time and then it works 00:30:45

and it feels great. 00:30:48

That's the thing about 00:30:50

robotics and computer science. 00:30:51

When you solve something that's complex, 00:30:54

you feel great about it afterwards. 00:30:57

So, yeah. 00:30:59

yeah you can take that and put it in many other fields as well yeah you you learn from mistakes 00:30:59

you solve these problems and then i mean this this feeling of uh you know 00:31:06

absolutely uh uh reaching the goal or uh achieving the goal that you 00:31:12

uh have them from the very beginning or even i mean it's the best way of of learning something 00:31:21

Just understanding what is wrong. 00:31:27

Practical way, yeah. 00:31:31

I agree with that, yeah. 00:31:33

Definitely, yes. 00:31:35

Well, that's all for the second block of education. 00:31:37

Yes, let's move to the third part, which is employment and future. 00:31:41

Jobs in general. 00:31:46

What do you guys think about the, I don't know, 00:31:48

implementation of robots in every kind of job or work that we have now? 00:31:50

in every sector, in every factory or whatever, the school, what do you guys 00:31:57

think about the implementation of robots? Do you think we need to focus these 00:32:03

points in the future, in the long future, near future? What do you guys think? Do 00:32:09

you think that the key question will robots replace us as humans in the 00:32:15

future in any particular job what do you guys think well I think that almost 00:32:22

everything that can be automatized you know someone like the AI or the robots 00:32:32

will take place and and and and we with less error than a human so and and 00:32:39

faster and so on. I think we have to change our minds about the, you know, the robots menace that 00:32:48

they are going to take out our jobs and so on. Even for us teachers, we thought that this cannot 00:32:55

be automatized and the truth is that it can be automatized and it can be more accurate in some 00:33:06

cases but the combination i think that this is something that we need to find because uh we need 00:33:16

to use these kind of tools as tools okay to improve the learning for of our students and even 00:33:22

our learning because uh we have to be up to date as as the physicians and many other professions 00:33:33

We have to be, especially nowadays, 00:33:41

that everything is evolving and changing so fast. 00:33:46

So this is more or less my view. 00:33:50

Don't be too afraid to lose your job, 00:33:53

but prepare for changes. 00:33:57

I don't think so. 00:33:59

Everything could be automatized, as you said, 00:34:00

but we as teachers, I don't know, 00:34:03

we and some other jobs as well, 00:34:05

we need the empathy with the students 00:34:08

And I don't know if a robot handling and managing one whole classroom of 30 students can have empathy with all of them and can manage the situation inside the classrooms. 00:34:11

It's not only to teach English or science or math or Spanish languages to manage a classroom and have empathy with all the situation that we have in every particular student inside the room. 00:34:25

What do you think, Borja? 00:34:41

I think it's tricky. 00:34:43

What you said, like professions that require empathy 00:34:46

and require a human presence, I think 00:34:49

they're going to be, quote unquote, the safest for now. 00:34:51

But even in professions that demand very mechanical tasks, 00:34:55

for example, they were saying x-ray technicians 00:35:00

in hospitals, people who do the x-rays, 00:35:04

they were going to disappear, because robots can do that 00:35:07

perfectly and we don't need a human but what ended up happening is we need more technicians now 00:35:10

because we can do way more x-rays and we need people that fixing the machines people who 00:35:15

manages all that amount of work we can produce now that we couldn't produce before because we 00:35:23

didn't have the ai or the robots so it's very hard to predict like there are a lot of people 00:35:29

say no this is going to disappear but then happens the opposite you know like we need more people 00:35:36

because now we can produce or no different jobs yeah and we create exactly a different job that 00:35:40

we didn't have before but we need it now because we need someone to to fix the or to check the 00:35:46

what he's doing you know we need experts so yeah we just have to see what happens but 00:35:53

very hard to predict yeah well in this case uh we all leverage the improvement of uh making 00:36:00

a better diagnostics in in x-rays because this is uh that's one of the science and the 00:36:08

the physicians will be you know more accurate that in you know diagnosing the diagnostics of 00:36:16

new diseases and so on 00:36:25

and detect anomalies 00:36:28

save more lives 00:36:30

we'll see 00:36:31

do you want to comment anything on 00:36:33

the cinema or films or 00:36:36

any 00:36:38

comment about the robots 00:36:39

in any film 00:36:42

or any movie that we have seen 00:36:44

to predict the future 00:36:46

or in every topic that you 00:36:48

like to comment anything 00:36:50

I don't know what to 00:36:52

being here. Do you have any favorite movie that you've seen play out nowadays? 00:36:55

I don't have a favorite movie but I have many movies that have influenced me in this way 00:37:01

because I mean as soon as you develop autonomous entity intelligence that can 00:37:11

be taking you know making certain sort of certain decisions for others like humans 00:37:23

we need to trust this and about that we have seen many many examples in the in the cinema 00:37:34

that comes more from the human fears than reality. 00:37:46

But I don't know if... 00:37:52

Because imagine when Isaac Asimov wrote, you know, 00:37:54

The Robot Dreams and I, Robot, 00:38:06

and the other books related to robots, 00:38:09

and there was no robot over the over the air so it was uh 1950 something it was an imagination yes 00:38:12

but so but now it's coming true like some of the things that uh are in in that book in iRobot for 00:38:22

example right now you can yep you can have it in reality yeah we have checked a video at the 00:38:28

beginning of the podcast in which they are moving and having some skills that are pretty similar to 00:38:34

the ones we can check in the field inside a robot. 00:38:39

You remember one of the rules was 00:38:42

a robot cannot harm any humans? 00:38:43

Yeah. 00:38:46

Is that a real rule right now? 00:38:47

Exactly. 00:38:49

All AI systems, 00:38:50

they need to have barriers to protect human beings. 00:38:52

Even chat GPT, every model has guards or barriers. 00:38:55

So programmers are coding the robots with that rule? 00:39:01

Without that, I don't know what would happen. 00:39:04

The problem is that, think about the programming part of the AI, because we are dealing right now just with the, let's say, LLMs, that is more training the language models. 00:39:07

But if you are in front of a real intelligence that is able to be autonomous, at some point... 00:39:27

Artificial general intelligence, right? 00:39:36

Yeah, at some point, and this is a big discussion, and all the scientific population is very divided between this is going to go well or bad. 00:39:39

But it could be a liability, it could be a risk. 00:39:59

I think that we have, with different things, I mean, imagine the big failures of humanity. 00:40:03

Think about Chernobyl and many other human error is more powerful than any machine or AI. 00:40:13

And if we instill, and we are very able to do this, instill these errors inside an AI, that could be catastrophic. 00:40:22

this is my my opinion so we this kind of barriers you know as soon as uh this 00:40:31

autonomous entity realizes that our barriers that they are going to 00:40:42

uh i don't know make a kind of work around of uh finding uh how to prevent this virus so 00:40:50

Yeah, we'll see. There are many boundaries that we have to check and revise to know if we are doing the right things with robots and AI. 00:40:58

We'll see. But it's an amazing era to live on and it's an amazing time to be alive. 00:41:10

I think so, because we are just about to start this, I don't know, this new era, yeah, this new time in which we have robots, we have AI, we have space race, and all together, we'll see what happens at the end. 00:41:18

Did you guys watch this movie, Project Hail Mary? 00:41:38

Yeah, I've watched that. 00:41:41

Yeah, last week. 00:41:43

There is a robot in there that can heal anything. 00:41:44

There are some robot arms that, 00:41:49

as soon as they detect something wrong with the person, 00:41:52

with the protagonist, they fix it. 00:41:55

But you mean the robot in the film, or another different one? 00:41:58

No, the robot in the film. 00:42:02

And it's the same robot that gives... 00:42:05

The rock? 00:42:07

No, no, no. 00:42:08

There's a robot in the spaceship that gives coffee. 00:42:09

I'm feeling bad 00:42:14

give me something 00:42:17

and that now seems 00:42:18

possible like you're watching that 00:42:21

and you say okay this is 00:42:23

realistic like I don't know if it's 00:42:25

too far away in the future maybe a few years but 00:42:27

it's possible and before 00:42:29

when I don't know 00:42:31

the previous movies from 00:42:32

I don't know 00:42:35

2001 00:42:36

Space Odyssey or something like that 00:42:39

you watch that and you're like this is impossible 00:42:41

Yeah, but now yeah, that was it. Now you realize that those achievements could be possible. Yes 00:42:43

Yeah 00:42:51

you have 00:42:52

these topics all around these kind of movies and 00:42:53

You can strike these topics and many mix it all together and these these all are our fears 00:42:58

for the future so 00:43:06

in 00:43:08

2001, the space odyssey, you know, there's an autonomous computer that finally decides 00:43:10

that, you know, it makes the decisions, or Kahl makes the decisions. 00:43:18

He becomes evil, right, in that movie, he becomes evil. 00:43:26

This is one way of seeing this, I think that it's not evil. 00:43:30

I think it's a program to avoid liabilities, and the human being at some point was a liability. 00:43:35

So that was an easy decision for him because we are very... 00:43:46

He didn't have the rule in place. 00:43:53

Yes. 00:43:55

Or maybe he had the rule, but he went, okay, I don't know about this rule. 00:43:56

Well, it's a question of reward, you know. 00:44:01

you do more than these rules or barriers you have to reward certain decisions like you know 00:44:05

making the good for the humans it should be rewarded for them and what happened if we have 00:44:16

people scientists programming robots without that rule i mean the the worry right now the danger 00:44:24

is that you have Nobel Prizes right now saying it doesn't matter what rule you put in. 00:44:31

The machine is too smart, you know, it's gonna be smarter than the scientists that are writing the code or whatever. 00:44:37

So that's the situation. There are professors right now that is just designing these rules, 00:44:43

designing these safeguards for AI models that are really, really well paid. 00:44:51

If you know how to, you know, you have to test the models and see, can it teach me to make a bomb, for example, it shouldn't, you know, like, and you test it, you test it, you test it, and then you release the new model, the new activity or whatever. 00:44:56

When you know these rules are in place, but there are some people saying at some point it's going to become so smart that the rules won't matter. 00:45:11

well we'll see what will happen in the future 00:45:19

any other comment or that's all for now i think this is an amazing subject that it could be 00:45:24

you know we can be talking hours and hours uh because there are many angles yeah of these 00:45:34

many different topics to deal with yeah for sure thank you very much for your attention and that's 00:45:40

all for now for the second episode stay tuned for for the following one and that's all thank you bye 00:45:47

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