1 00:00:02,160 --> 00:00:35,409 Hello everyone, how are you guys today? 2 00:00:35,409 --> 00:00:42,189 We are here for the second episode of this project podcast and we are dealing today with 3 00:00:42,189 --> 00:00:43,210 the rise of the robots. 4 00:00:43,689 --> 00:00:46,969 I'm Carlos Cid and I'm here today with Alberto Corredera. 5 00:00:47,270 --> 00:00:47,490 Hello. 6 00:00:47,829 --> 00:00:48,009 Hello. 7 00:00:48,170 --> 00:00:48,590 How are you? 8 00:00:49,369 --> 00:00:50,649 I'm Víctor Borja Martín. 9 00:00:50,869 --> 00:00:51,090 Hi. 10 00:00:51,990 --> 00:00:52,590 Okay. 11 00:00:52,789 --> 00:00:57,229 We are going to talk about many different fields related to the rise of the robots, 12 00:00:57,810 --> 00:01:01,590 such as housework, cars, space race. 13 00:01:01,590 --> 00:01:10,909 and well do you want to start with any particular point or any particular topic to deal with in this 14 00:01:10,909 --> 00:01:17,569 first block what do you guys think about the rise of the robot and the current impact as you can see 15 00:01:17,569 --> 00:01:26,810 here well i think we would like to start with a current impact or the situation right now that 16 00:01:26,810 --> 00:01:34,349 It seems to be that after the first revolution of the robots, robots today are very present 17 00:01:34,349 --> 00:01:43,109 on the news because of their advance in many, many industries like the military industry 18 00:01:43,109 --> 00:01:50,430 or, you know, in war or drones and many others. 19 00:01:50,430 --> 00:01:51,430 Sorry? 20 00:01:51,430 --> 00:01:59,189 world if military industry such as as many unfortunately we talk about war and the drones 21 00:01:59,189 --> 00:02:06,790 that we can see in the tv shows that are currently having an impact in in every war around the world 22 00:02:07,750 --> 00:02:17,039 in every world the world what do you think what do you think yes i think we've seen already 23 00:02:17,039 --> 00:02:24,919 huge impact maybe here in Europe even a little less than perhaps in America the 24 00:02:24,919 --> 00:02:31,039 US with autonomous driving for example like it seems to be the norm like I 25 00:02:31,039 --> 00:02:36,939 heard not so long ago a person that lives in San Francisco telling that is 26 00:02:36,939 --> 00:02:42,180 like taking out of a movie like how every car is driving itself in the city 27 00:02:42,180 --> 00:02:43,400 of San Francisco. 28 00:02:45,500 --> 00:02:46,099 Yeah, 29 00:02:46,199 --> 00:02:47,680 probably we'll see more 30 00:02:47,680 --> 00:02:49,800 like that here in Europe as well. 31 00:02:50,539 --> 00:02:50,699 Yeah. 32 00:02:51,419 --> 00:02:52,020 Well, 33 00:02:52,400 --> 00:02:53,460 this 34 00:02:53,460 --> 00:02:56,460 film that we have 35 00:02:56,460 --> 00:02:57,780 in the background is 36 00:02:57,780 --> 00:02:59,719 the celebration of the new year, 37 00:03:00,159 --> 00:03:01,479 the new Chinese year. 38 00:03:01,500 --> 00:03:02,180 Yeah, Chinese New Year. 39 00:03:02,419 --> 00:03:04,360 Or the Chinese New Year 40 00:03:04,360 --> 00:03:06,680 from this 2026. 41 00:03:07,360 --> 00:03:07,439 So, 42 00:03:07,659 --> 00:03:09,560 I think it's 43 00:03:09,560 --> 00:03:11,280 everyone was amazed about, 44 00:03:11,520 --> 00:03:12,080 you know, 45 00:03:12,180 --> 00:03:19,379 what the humanoid robots achieve in terms of dancing. 46 00:03:20,460 --> 00:03:26,520 They may parkour, you know, even martial arts, 47 00:03:27,199 --> 00:03:28,979 dancing with the kids and so on. 48 00:03:29,020 --> 00:03:33,639 So it was quite a demonstration, don't you think, Carlos? 49 00:03:33,639 --> 00:03:36,080 Yeah. What do you guys think about this? 50 00:03:36,620 --> 00:03:39,479 Are you guys thrilling or afraid about this situation 51 00:03:39,479 --> 00:03:41,680 with robots currently around the world? 52 00:03:41,680 --> 00:03:53,419 Because, I don't know, would you guys fancy having these robots in our current lives, in every field, at home or at work? 53 00:03:53,479 --> 00:03:54,280 What do you guys think? 54 00:03:54,439 --> 00:04:07,819 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. 55 00:04:07,819 --> 00:04:15,900 so they are perfectly developed as you can check right here what do you guys think are you guys 56 00:04:15,900 --> 00:04:23,480 thrilling with this afraid for the future first time i saw this i was a little bit scared to be 57 00:04:23,480 --> 00:04:29,540 honest because i immediately thought what what's preventing them from i don't know making an army 58 00:04:29,540 --> 00:04:36,639 of these things right then and sending them to foreign countries so i don't know but the answer 59 00:04:36,639 --> 00:04:43,360 to add is battery like right now battery is a limitation for these robots i think at most they 60 00:04:43,360 --> 00:04:49,699 can function like two or three hours it does not a problem a problem in factories maybe 61 00:04:49,699 --> 00:04:57,759 because they have their power stations where they can plug in and recharge but yeah we're 62 00:04:57,759 --> 00:05:06,180 not in danger yet i think what do you think well i'm quite a fan of the futuristic films that we 63 00:05:06,180 --> 00:05:11,540 in the past I imagine the matrix where the batteries were us the human beings so 64 00:05:13,699 --> 00:05:19,779 the machines develop a new way of turning themselves using us as energy 65 00:05:20,660 --> 00:05:31,300 well we can think about any other but the thing is nowadays these robots are programmed by us 66 00:05:31,300 --> 00:05:39,759 by humans and they are treating to imitate humans. I think we need to 67 00:05:39,759 --> 00:05:46,899 decide what we really need. I mean because if you 68 00:05:46,899 --> 00:05:56,100 have a job that is dangerous or maybe you can use a humanoid to do this 69 00:05:56,100 --> 00:06:02,699 is part of the dangerous job instead of sending a human. 70 00:06:02,699 --> 00:06:12,120 But I mean, this would be linked to the military industry 71 00:06:12,120 --> 00:06:12,620 as well. 72 00:06:12,620 --> 00:06:17,100 But I raise this subject of the race of the robots 73 00:06:17,100 --> 00:06:21,720 because it's kind of a new industrial revolution. 74 00:06:21,720 --> 00:06:26,319 Because in the past, you think about the, you know, 75 00:06:26,319 --> 00:06:29,180 machines in agriculture, 76 00:06:31,740 --> 00:06:36,740 teaching to multiply the work of the human beings 77 00:06:37,339 --> 00:06:42,339 by 10 times if you are going to plant 78 00:06:44,360 --> 00:06:48,379 or you are going to make this kind of task 79 00:06:48,379 --> 00:06:51,660 that you need to do in the field, so. 80 00:06:51,660 --> 00:07:01,459 And what about the batteries that you were talking about when we talk about war and space race for these robots? 81 00:07:01,459 --> 00:07:08,540 What about those battery challenges that we have with these robots related to the war and the space race? 82 00:07:08,660 --> 00:07:10,899 We are back in the moon right now. 83 00:07:11,259 --> 00:07:15,699 Yesterday, we had a spaceship again in the moon. 84 00:07:15,699 --> 00:07:26,139 But what about having a robot there in this space race that China, USA, and Russia has? 85 00:07:26,720 --> 00:07:29,420 What do you guys think about those battery challenges? 86 00:07:29,720 --> 00:07:42,980 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? 87 00:07:43,339 --> 00:07:44,300 What do you guys think? 88 00:07:44,300 --> 00:07:52,829 how may what is the pace we have for the improvement of the batteries for another 89 00:07:52,829 --> 00:07:59,129 dimension mission to the moon I think the next phase is actually the playing 90 00:07:59,129 --> 00:08:05,009 robots because they want to be able to to do research in deep space and for 91 00:08:05,009 --> 00:08:10,649 that the far side of the moon is very useful because waves are not blocked by 92 00:08:10,649 --> 00:08:17,209 the earth so they want actually to deploy a net of robots that they're going to deploy and they're 93 00:08:17,209 --> 00:08:24,410 going to they want to build like an antenna like a huge antenna that can send signals to this space 94 00:08:25,610 --> 00:08:32,490 and that's next phase so i imagine if they have that planned like they have some kind of 95 00:08:33,610 --> 00:08:40,490 research going on or some kind of solution for this for this problem but if we talk about war 96 00:08:40,649 --> 00:08:47,570 If we talk about autonomous weapons, I think it's still further into the future, I think, 97 00:08:47,690 --> 00:08:56,730 because they have battery needs, of course, and they have to be able to tell apart a friend 98 00:08:56,730 --> 00:09:00,370 from foe, you know, a friend from the enemy, and that's not so easy to do. 99 00:09:01,190 --> 00:09:06,230 So apparently that's going to take longer, but right now, I don't know if you heard, 100 00:09:06,230 --> 00:09:17,190 guys but um donald trump made a deal with open ai i think and they're gonna precisely to do research 101 00:09:17,190 --> 00:09:23,590 in autonomous weapons so that's a bit scary like donald trump right now has a deal with open ai 102 00:09:23,590 --> 00:09:32,470 just to research on this what links this subject to ai i mean robots and ai because it is this 103 00:09:32,470 --> 00:09:40,549 this new hype, let's say, of the robots comes because the intelligence that can be provided 104 00:09:40,549 --> 00:09:49,029 to these robots is bigger and they can be more autonomous, especially making decisions that 105 00:09:49,909 --> 00:09:56,549 we can program by now. Do you think both are directly connected? I mean, AI with robots? 106 00:09:56,549 --> 00:10:05,509 Do you think that if we improve the AI systems, it's going to have a huge impact on robots right now? 107 00:10:06,470 --> 00:10:07,590 Yes, absolutely. 108 00:10:08,190 --> 00:10:09,870 For instance, the battery thing. 109 00:10:10,789 --> 00:10:18,289 Once the robot is aware of itself that he needs some battery, 110 00:10:18,289 --> 00:10:27,830 He can recharge itself and even produce energy again for recharging itself. 111 00:10:28,149 --> 00:10:36,490 So, but what I mean, we have physical barriers. 112 00:10:36,669 --> 00:10:38,409 For instance, we're talking about the moon. 113 00:10:39,269 --> 00:10:42,730 There's no, you know, we can't breathe in the moon. 114 00:10:42,870 --> 00:10:46,570 We can do many other things that a robot can do. 115 00:10:46,570 --> 00:10:53,370 so uh robots are absolutely key that remember when we send the probe to mars 116 00:10:53,370 --> 00:10:59,470 and that was just a probe but uh this was um 117 00:10:59,470 --> 00:11:07,690 one of the first i was always wondering why didn't test this near in the moon 118 00:11:07,690 --> 00:11:15,269 so that we can have some more uh you know background about how they behave because 119 00:11:15,269 --> 00:11:21,990 is you know we we are insisting in mars because it's more similar to the to the earth than other 120 00:11:21,990 --> 00:11:31,990 planets but i think that the the behavior of these uh robots uh in you know in in a place where 121 00:11:31,990 --> 00:11:41,509 uh there are big barriers for the human being i think it can be tested nearby and there are 122 00:11:41,509 --> 00:11:46,730 many fields in in which we need the robots first and a space room space race 123 00:11:46,730 --> 00:11:54,830 for example is is key if we have robots over there in in in the space and many 124 00:11:54,830 --> 00:11:59,730 other fields as well as such as say I for example so we'll see we'll see what 125 00:11:59,730 --> 00:12:04,470 happened in the future with this evolution how they evolve do you want to 126 00:12:04,470 --> 00:12:13,669 comment any i i just wanted to comment that at the same time that ai is very important or key or 127 00:12:16,549 --> 00:12:23,590 compulsory for the for the robots industry i think china is very important as well 128 00:12:23,590 --> 00:12:32,950 so as we were commenting before the this recording and i think without china it can be done because 129 00:12:32,950 --> 00:12:42,230 uh maybe you you have the data right now yes i i think close to 90 percent of uh human robots sold 130 00:12:42,230 --> 00:12:49,269 in the world today are made by china uh you can see what they they can achieve in this video 131 00:12:49,269 --> 00:12:56,629 the level of coordination that they have um i think they're already a big part of the workforce 132 00:12:56,629 --> 00:13:03,990 in some countries south korea also i i just read that they have lots of robots employed in factories 133 00:13:05,110 --> 00:13:11,909 and if you think about it i think it's logical that very repetitive tasks in the end they're 134 00:13:11,909 --> 00:13:16,950 going to be especially dangerous ones they're going to be performed by these robots and we're 135 00:13:16,950 --> 00:13:24,389 going to have to adapt to that as a workforce we can talk about that later maybe in a later block 136 00:13:24,389 --> 00:13:30,470 but yeah China right now I think is leading the race as we can see 137 00:13:32,549 --> 00:13:39,909 yes okay I just wanted to mention one key part that maybe what's different now is precisely AI 138 00:13:39,909 --> 00:13:48,629 like robotics they were able to build the structure they already have the physicality 139 00:13:48,629 --> 00:13:53,990 of the road that's figured out but we didn't have the brain the difference is now we have the brain 140 00:13:54,389 --> 00:14:01,830 So the AI can analyze the surroundings, it can think, they can learn patterns, 141 00:14:01,830 --> 00:14:07,029 movement patterns, way more complex than before, just because they have these AI systems behind. 142 00:14:07,669 --> 00:14:13,029 And this is the product of a lot of simulations that AI can do. 143 00:14:13,029 --> 00:14:16,230 Yeah, but there is room for improvements and... 144 00:14:16,230 --> 00:14:21,750 Yeah, absolutely, absolutely. But what I mean is, without AI this is not possible. 145 00:14:21,750 --> 00:14:29,509 this is the accumulation of iterative learning by models that made this possible. 146 00:14:34,149 --> 00:14:42,710 Yeah, let's talk about the next block, which is educational robots, as you can check here. 147 00:14:42,710 --> 00:15:01,870 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. 148 00:15:02,529 --> 00:15:06,750 And we are going to comment these videos later as well. 149 00:15:06,750 --> 00:15:14,490 volume adventure in learning with an eye toward the future robots are joining a 150 00:15:14,490 --> 00:15:19,129 Boston high school classroom it's entirely up to the students what the 151 00:15:19,129 --> 00:15:22,769 room is pretty cool so it's just the first wave of robots coming to schools 152 00:15:22,769 --> 00:15:36,230 around Boston WBC's Paula Edmond shows us in tonight's eye on education a robot 153 00:15:36,230 --> 00:15:40,309 that does its own introductions the first one at Boston's English high 154 00:15:40,309 --> 00:16:16,230 school and it's a learning tool for the school's let's go let's play both I 155 00:16:16,230 --> 00:16:30,500 thought we have it for the following well this is a unique adventure in 156 00:16:30,500 --> 00:16:35,159 learning with an eye toward the future robots are joining a Boston high school 157 00:16:35,159 --> 00:16:40,100 classroom and it's entirely up to the students what the robots can do. That's pretty cool. So 158 00:16:40,100 --> 00:16:44,820 it's just the first wave of robots coming to schools around Boston. WBC's Paula Edmond shows 159 00:16:44,820 --> 00:16:54,220 us in tonight's Eye on Education. My name is Pepper. I'm a humanoid robot and I'm 1.20 meters 160 00:16:54,220 --> 00:17:00,340 tall. A robot that does its own introduction. The first one at Boston's English High School 161 00:17:00,340 --> 00:17:08,759 and it's a learning tool for the school's computer science students pepper is a humanoid that's for 162 00:17:08,759 --> 00:17:15,420 sure pepper dances with the best of them fist bumps with a flare and plays a mean air saxophone 163 00:17:15,420 --> 00:17:20,720 and it's all because the young people here have programmed it to do all those things 164 00:17:20,720 --> 00:17:26,599 hello how are you today i'm good how are you i'm good thank you the company that makes pepper 165 00:17:26,599 --> 00:17:31,940 SoftBank Robotics is donating 50 of the robots to Boston public high schools. 166 00:17:31,940 --> 00:17:36,839 You're trying to get students interested in STEM, science, technology, engineering, 167 00:17:36,839 --> 00:17:44,779 mathematics. Pepper comes with an almost clean slate. Students do the work of 168 00:17:44,779 --> 00:17:48,279 bringing it alive. Sometimes when it talks back to you think like it's a 169 00:17:48,279 --> 00:17:53,240 person and it's comfortable because she's so friendly. Howie Horner teaches 170 00:17:53,240 --> 00:17:56,740 computer science. We have students now who are thinking about a career in 171 00:17:56,740 --> 00:17:59,779 robotics. We have students who are thinking about what it means to work 172 00:17:59,779 --> 00:18:05,000 with robots using math. Like it helps me a lot in my career and my hopes are to 173 00:18:05,000 --> 00:18:11,599 like to combine technology with medicine. And for the students who are coding and 174 00:18:11,599 --> 00:18:17,920 programming it's like yeah nailed it. I'm glad you're doing well. Have a nice day. 175 00:18:17,920 --> 00:18:24,740 new to pepper the demonstration at english high kicked off computer science week in the city 176 00:18:24,740 --> 00:18:29,420 officials hope to have these robots in all boston high schools by the end of the school year wow 177 00:18:29,420 --> 00:18:33,059 we'll check back in in a few months to find out who pepper's going to the prom with oh that too 178 00:18:33,059 --> 00:18:36,900 and i would program it to like do my homework smart thank you 179 00:18:36,900 --> 00:18:50,369 yeah we're gonna come in this one what do you guys think i feel astonished when i 180 00:18:50,369 --> 00:18:55,730 check this interaction and this cooperation among students and teachers 181 00:18:55,730 --> 00:19:02,049 with these sort of robots in classrooms, in real classrooms, because they are 182 00:19:02,049 --> 00:19:08,549 useful for such a different subject, not only in science, but also you can even 183 00:19:08,549 --> 00:19:13,710 speak with the robots in English. I'm an English teacher, so if we have a 184 00:19:13,710 --> 00:19:19,170 robot in classroom, we can have many different robots creating different 185 00:19:19,170 --> 00:19:24,509 groups to talk about any different topic with the students so it's 186 00:19:24,509 --> 00:19:28,170 thrilling the situation with the reopening classroom in the future I 187 00:19:28,170 --> 00:19:34,710 think we are not having this type of classrooms right now for every kind of 188 00:19:34,710 --> 00:19:42,089 student around the world because the investment we have to assume for or take 189 00:19:42,089 --> 00:19:46,650 over for this situation in every classroom in every high school it's huge 190 00:19:46,650 --> 00:19:53,490 and massive for the governments, but it's kind of cool to check these 191 00:19:53,490 --> 00:19:59,069 robots inside. What do you guys think? Do you think those robots can boost the 192 00:19:59,069 --> 00:20:04,769 cooperation or interaction among students and teachers? Do you think we'll 193 00:20:04,769 --> 00:20:10,369 have a robot in classroom in the future, in the near future? 194 00:20:10,369 --> 00:20:19,089 I'm not sure what to think to be honest. On the one side it's exciting, on the other side... 195 00:20:22,529 --> 00:20:28,769 I don't know. I don't know if kids are going to be that interested in robots because 196 00:20:29,410 --> 00:20:37,410 they said in the video they want to make students interested in STEM like science and math and all 197 00:20:37,410 --> 00:20:42,670 all that but the experience right now because i've been visiting schools because my son is 198 00:20:42,670 --> 00:20:48,349 starting school next year they don't seem to pay much attention to robots and they want to still do 199 00:20:48,349 --> 00:20:55,329 things by themselves by hand and they want to interact with each other but how how were those 200 00:20:55,329 --> 00:21:02,349 robots were like like these ones speaking no it's not the same but well it's still robotics you know 201 00:21:02,349 --> 00:21:07,630 like they can do they can go around the circuit maybe or you can program 202 00:21:07,630 --> 00:21:13,509 patterns of movement and it's very simple yeah maybe this will be different 203 00:21:13,509 --> 00:21:21,349 but I don't know useful but we still need teachers yeah yeah of course 204 00:21:21,349 --> 00:21:27,369 both and I we're computer science teachers and you are an English teacher 205 00:21:27,369 --> 00:21:34,690 I think it will be a big help for you because you can multiply yourself during the class and 206 00:21:35,450 --> 00:21:37,450 among different 207 00:21:40,470 --> 00:21:42,470 Activities and 208 00:21:42,490 --> 00:21:46,809 Why not one of them could be a one of the robots can learn 209 00:21:46,809 --> 00:21:54,309 I mean can can teach to the to the students how to make a simple circuit and the basics of 210 00:21:54,809 --> 00:21:56,430 you know 211 00:21:56,430 --> 00:22:02,750 electricity and the other I can be prepared to other experience so up maybe 212 00:22:03,390 --> 00:22:06,529 You will be happy because you don't need the teacher 213 00:22:07,650 --> 00:22:09,650 Specialized teachers anymore 214 00:22:09,829 --> 00:22:16,930 Robots as assistants like yeah for for helping me. That's that could be a huge impact. Yeah, I think so 215 00:22:16,930 --> 00:22:18,609 I'm multitasking as well 216 00:22:18,609 --> 00:22:24,829 It's the the biggest challenge for for those robots. We are just developing one task 217 00:22:24,829 --> 00:22:34,390 Well, I think that also what I think is that these robots can help with, you know, students 218 00:22:34,390 --> 00:22:38,869 with special needs in terms of learning. 219 00:22:38,869 --> 00:22:49,309 Because you can focus on understanding if someone has, you know, problems with hearing 220 00:22:49,309 --> 00:22:58,509 or bad and, you know, can be autistic and it can be using pictograms or things like that. So, 221 00:22:59,950 --> 00:23:07,150 you can be more focused on the student as well. So, in the future, I think that we have to find 222 00:23:07,150 --> 00:23:14,430 the correct measure between some help because we're not actually using this kind of help. 223 00:23:14,430 --> 00:23:23,269 and we have to find our our slot as teacher as well because we have to evolve as well so 224 00:23:23,269 --> 00:23:30,970 and i made more different dynamics in the classroom yeah i agree with you yeah let's 225 00:23:30,970 --> 00:24:01,880 check the the second one i had a really great instructor at my school who every year tried to 226 00:24:01,880 --> 00:24:07,099 get me interested in the robotics team and this year he says i have a student who's creating an 227 00:24:07,099 --> 00:24:11,839 all-girls team. And that really sparked my interest. Once we got the word out there, 228 00:24:11,920 --> 00:24:15,400 there were a lot of girls that came out of the woodwork and were like, hey, we want to be on 229 00:24:15,400 --> 00:24:23,380 robotics. Being an all-girls team is really, you know, empowering. It does teach you a lot and it 230 00:24:23,380 --> 00:24:28,779 makes you feel really good. And there really is that push to get more in the STEM field. 231 00:24:29,279 --> 00:24:33,619 As they're building these robots, they're really gaining their STEM skills. You know, science, 232 00:24:33,619 --> 00:24:37,940 technology, engineering, and math skills are going to last them well throughout their lifetime. 233 00:24:38,660 --> 00:24:41,299 Mechanical engineering is just one of those things that like 234 00:24:42,019 --> 00:24:46,819 it's hands-on and I'm a very hands-on person. You get to see all the knowledge that you've gained 235 00:24:46,819 --> 00:24:51,859 either online or in the classroom be put into use in real life. So in the classroom you might 236 00:24:51,859 --> 00:24:57,220 be learning about mechanics within physics but in robotics you get to actually apply that knowledge 237 00:24:57,220 --> 00:25:01,940 and you actually get to see it work for something which I think is really cool. A lot of what I've 238 00:25:01,940 --> 00:25:06,819 learned is problem solving and working through things that come at you that kind of frustrate 239 00:25:06,819 --> 00:25:12,180 you like we'll have our claw not closing properly on a robot or something will always go wrong 240 00:25:12,180 --> 00:25:16,019 before a match but it's that like perseverance to like keep fixing it and keep going that like 241 00:25:16,019 --> 00:25:20,980 makes the whole experience so great it's a really good mix between energy that comes from 242 00:25:20,980 --> 00:25:27,539 competition and cooperation because a lot of the games here they require immense teamwork a lot of 243 00:25:27,539 --> 00:25:30,539 of communication between teams that you've just met. 244 00:25:30,539 --> 00:25:32,480 It's a really great experience. 245 00:25:32,480 --> 00:25:33,819 We're going to grab one of the cubes, 246 00:25:33,819 --> 00:25:35,119 and you guys are going to grab the other. 247 00:25:35,119 --> 00:25:36,519 I think the best thing about our team 248 00:25:36,519 --> 00:25:39,920 is none of us had any experience at the beginning of the year. 249 00:25:39,920 --> 00:25:43,559 And so just being able to bounce ideas off of each other, 250 00:25:43,559 --> 00:25:45,660 we're all there to support each other. 251 00:25:45,660 --> 00:25:47,339 Yeah! 252 00:25:47,339 --> 00:25:49,019 Just having those STEM opportunities 253 00:25:49,019 --> 00:25:50,880 and bringing that moment to life for someone 254 00:25:50,880 --> 00:25:52,660 can continue them on that pathway 255 00:25:52,660 --> 00:25:55,019 and encourage them in a future career field. 256 00:25:55,019 --> 00:26:07,859 Here we have another different situation which high school students are like 257 00:26:07,859 --> 00:26:14,339 building and coding different robots to compete in a showdown, a fighting robot 258 00:26:14,339 --> 00:26:23,099 showdown. So what do you guys think about it? Because how could robots improve the 259 00:26:23,099 --> 00:26:29,859 situation among, for example, we as teachers and the proper students. Do you 260 00:26:29,859 --> 00:26:37,319 think there is a way to have the three of us inside a classroom and we can have 261 00:26:37,319 --> 00:26:44,579 an average of collaboration among all of us to improve, to learn better? What do 262 00:26:44,579 --> 00:26:49,440 you guys think? Or do you think that in the future we'll only have robots 263 00:26:49,440 --> 00:26:55,680 like teaching inside the classroom and we are not necessary for for that what 264 00:26:55,680 --> 00:27:00,759 do you think about the video about this situation among these three parts about 265 00:27:00,759 --> 00:27:05,700 the video I have to say that I agree 100% what the students are saying because 266 00:27:05,700 --> 00:27:10,779 one thing robotics has for computer science you can actually see in the 267 00:27:10,779 --> 00:27:16,559 world you have the direct feedback with what you build and that's really 268 00:27:16,559 --> 00:27:22,000 engaging. And it really teaches problem-solving, like one of the 269 00:27:22,000 --> 00:27:25,579 students was saying that maybe a claw doesn't close properly, so you have to 270 00:27:25,579 --> 00:27:28,559 figure out how to fix that. And when you fix that, you see it in the real world, 271 00:27:28,559 --> 00:27:35,519 and that's really motivating. So robotics are a great way to get students in 272 00:27:35,519 --> 00:27:41,920 competition areas problem-solving and all those skills. It was one of the best subjects I did 273 00:27:41,920 --> 00:27:47,920 back to college. I could build a robot that had to go around the circuit and crash. 274 00:27:47,920 --> 00:27:53,920 And it was one of the best experiences I've had. So I think it's because of this 275 00:27:53,920 --> 00:27:59,920 direct feedback between real world and what you just did on the computer. 276 00:27:59,920 --> 00:28:04,920 Well, what I see from this last video is that in this case the robotics is the 277 00:28:04,920 --> 00:28:16,000 media is the tool you use to develop your skills. So, as Borja said, you have to have 278 00:28:16,000 --> 00:28:27,099 the vision to foresee what will be the difficulties and try to solve in advance all the problems 279 00:28:27,099 --> 00:28:35,180 you are going to find especially i i have made myself some this kind of uh um contest or fights 280 00:28:35,180 --> 00:28:42,700 between robots and it's on one hand is it's very funny it's you have fun uh with that and 281 00:28:44,299 --> 00:28:51,099 it is a question of strategy as well because you have to balance because every normally all the 282 00:28:51,099 --> 00:28:59,099 teams has more or less set the same resources for to build the same robot but but the robot itself 283 00:28:59,099 --> 00:29:08,140 is is your product is is not uh the one who is teaching you so they of course is very important 284 00:29:08,140 --> 00:29:17,900 and it can be as you mentioned you can mix different um skills or skills with different 285 00:29:17,900 --> 00:29:29,440 And you can use mathematics in the thinking or even motivation, competencies. 286 00:29:29,740 --> 00:29:32,279 That's the word I was looking for. 287 00:29:32,279 --> 00:29:41,740 So, yeah, here we have so many different skills that children develop thanks to educational robot. 288 00:29:41,740 --> 00:29:57,519 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. 289 00:29:58,299 --> 00:30:05,339 And we can improve with the students those competencies and those skills with the help of the robots. 290 00:30:05,339 --> 00:30:10,099 or building or coding robots to create a fighting showdown 291 00:30:10,099 --> 00:30:13,359 or whatever you want to code or build. 292 00:30:13,980 --> 00:30:18,380 So there are many, many rooms for improvement 293 00:30:18,380 --> 00:30:22,359 in many different fields, as you can check here. 294 00:30:23,460 --> 00:30:26,700 I don't know if all of them that we have here, 295 00:30:26,839 --> 00:30:29,440 I don't know if, for example, self-esteem, 296 00:30:29,680 --> 00:30:32,420 you can improve, well, maybe you can improve your self-esteem 297 00:30:32,420 --> 00:30:34,740 when you are building or 298 00:30:34,740 --> 00:30:36,279 cooperating with other 299 00:30:36,279 --> 00:30:38,599 students. It's a good feeling when you build 300 00:30:38,599 --> 00:30:39,579 something that works. 301 00:30:40,140 --> 00:30:42,039 If it works, indeed. 302 00:30:42,880 --> 00:30:44,019 No, but in the end it works. 303 00:30:44,339 --> 00:30:45,539 You just work on it, you 304 00:30:45,539 --> 00:30:48,160 put your time and then it works 305 00:30:48,160 --> 00:30:49,339 and it feels great. 306 00:30:50,059 --> 00:30:51,019 That's the thing about 307 00:30:51,019 --> 00:30:53,539 robotics and computer science. 308 00:30:54,079 --> 00:30:56,160 When you solve something that's complex, 309 00:30:57,079 --> 00:30:58,599 you feel great about it afterwards. 310 00:30:59,059 --> 00:30:59,400 So, yeah. 311 00:30:59,400 --> 00:31:06,779 yeah you can take that and put it in many other fields as well yeah you you learn from mistakes 312 00:31:06,779 --> 00:31:12,700 you solve these problems and then i mean this this feeling of uh you know 313 00:31:12,700 --> 00:31:21,700 absolutely uh uh reaching the goal or uh achieving the goal that you 314 00:31:21,700 --> 00:31:27,799 uh have them from the very beginning or even i mean it's the best way of of learning something 315 00:31:27,799 --> 00:31:31,200 Just understanding what is wrong. 316 00:31:31,420 --> 00:31:32,480 Practical way, yeah. 317 00:31:33,259 --> 00:31:34,559 I agree with that, yeah. 318 00:31:35,180 --> 00:31:36,079 Definitely, yes. 319 00:31:37,039 --> 00:31:40,339 Well, that's all for the second block of education. 320 00:31:41,059 --> 00:31:45,180 Yes, let's move to the third part, which is employment and future. 321 00:31:46,059 --> 00:31:47,079 Jobs in general. 322 00:31:48,099 --> 00:31:50,819 What do you guys think about the, I don't know, 323 00:31:50,859 --> 00:31:56,779 implementation of robots in every kind of job or work that we have now? 324 00:31:57,799 --> 00:32:03,980 in every sector, in every factory or whatever, the school, what do you guys 325 00:32:03,980 --> 00:32:09,740 think about the implementation of robots? Do you think we need to focus these 326 00:32:09,740 --> 00:32:15,740 points in the future, in the long future, near future? What do you guys think? Do 327 00:32:15,740 --> 00:32:22,559 you think that the key question will robots replace us as humans in the 328 00:32:22,559 --> 00:32:32,700 future in any particular job what do you guys think well I think that almost 329 00:32:32,700 --> 00:32:39,240 everything that can be automatized you know someone like the AI or the robots 330 00:32:39,240 --> 00:32:48,359 will take place and and and and we with less error than a human so and and 331 00:32:48,359 --> 00:32:55,960 faster and so on. I think we have to change our minds about the, you know, the robots menace that 332 00:32:55,960 --> 00:33:06,680 they are going to take out our jobs and so on. Even for us teachers, we thought that this cannot 333 00:33:06,680 --> 00:33:16,039 be automatized and the truth is that it can be automatized and it can be more accurate in some 334 00:33:16,039 --> 00:33:22,839 cases but the combination i think that this is something that we need to find because uh we need 335 00:33:22,839 --> 00:33:32,039 to use these kind of tools as tools okay to improve the learning for of our students and even 336 00:33:33,160 --> 00:33:41,640 our learning because uh we have to be up to date as as the physicians and many other professions 337 00:33:41,640 --> 00:33:46,079 We have to be, especially nowadays, 338 00:33:46,440 --> 00:33:49,900 that everything is evolving and changing so fast. 339 00:33:50,400 --> 00:33:53,519 So this is more or less my view. 340 00:33:53,900 --> 00:33:57,200 Don't be too afraid to lose your job, 341 00:33:57,559 --> 00:33:59,579 but prepare for changes. 342 00:33:59,720 --> 00:34:00,519 I don't think so. 343 00:34:00,740 --> 00:34:02,960 Everything could be automatized, as you said, 344 00:34:03,200 --> 00:34:05,539 but we as teachers, I don't know, 345 00:34:05,640 --> 00:34:08,380 we and some other jobs as well, 346 00:34:08,380 --> 00:34:11,579 we need the empathy with the students 347 00:34:11,579 --> 00:34:25,500 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. 348 00:34:25,780 --> 00:34:41,059 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. 349 00:34:41,059 --> 00:34:43,539 What do you think, Borja? 350 00:34:43,539 --> 00:34:46,420 I think it's tricky. 351 00:34:46,420 --> 00:34:49,380 What you said, like professions that require empathy 352 00:34:49,380 --> 00:34:51,139 and require a human presence, I think 353 00:34:51,139 --> 00:34:55,019 they're going to be, quote unquote, the safest for now. 354 00:34:55,019 --> 00:35:00,739 But even in professions that demand very mechanical tasks, 355 00:35:00,739 --> 00:35:04,900 for example, they were saying x-ray technicians 356 00:35:04,900 --> 00:35:07,619 in hospitals, people who do the x-rays, 357 00:35:07,619 --> 00:35:10,219 they were going to disappear, because robots can do that 358 00:35:10,219 --> 00:35:15,840 perfectly and we don't need a human but what ended up happening is we need more technicians now 359 00:35:15,840 --> 00:35:23,320 because we can do way more x-rays and we need people that fixing the machines people who 360 00:35:23,320 --> 00:35:29,900 manages all that amount of work we can produce now that we couldn't produce before because we 361 00:35:29,900 --> 00:35:36,039 didn't have the ai or the robots so it's very hard to predict like there are a lot of people 362 00:35:36,039 --> 00:35:40,159 say no this is going to disappear but then happens the opposite you know like we need more people 363 00:35:40,159 --> 00:35:46,940 because now we can produce or no different jobs yeah and we create exactly a different job that 364 00:35:46,940 --> 00:35:53,519 we didn't have before but we need it now because we need someone to to fix the or to check the 365 00:35:53,519 --> 00:36:00,360 what he's doing you know we need experts so yeah we just have to see what happens but 366 00:36:00,360 --> 00:36:08,659 very hard to predict yeah well in this case uh we all leverage the improvement of uh making 367 00:36:08,659 --> 00:36:16,239 a better diagnostics in in x-rays because this is uh that's one of the science and the 368 00:36:16,239 --> 00:36:25,559 the physicians will be you know more accurate that in you know diagnosing the diagnostics of 369 00:36:25,559 --> 00:36:28,460 new diseases and so on 370 00:36:28,460 --> 00:36:30,579 and detect anomalies 371 00:36:30,579 --> 00:36:31,900 save more lives 372 00:36:31,900 --> 00:36:33,820 we'll see 373 00:36:33,820 --> 00:36:36,360 do you want to comment anything on 374 00:36:36,360 --> 00:36:38,139 the cinema or films or 375 00:36:38,139 --> 00:36:39,500 any 376 00:36:39,500 --> 00:36:42,639 comment about the robots 377 00:36:42,639 --> 00:36:44,679 in any film 378 00:36:44,679 --> 00:36:46,019 or any movie that we have seen 379 00:36:46,019 --> 00:36:48,260 to predict the future 380 00:36:48,260 --> 00:36:50,260 or in every topic that you 381 00:36:50,260 --> 00:36:52,380 like to comment anything 382 00:36:52,380 --> 00:36:55,519 I don't know what to 383 00:36:55,519 --> 00:37:01,460 being here. Do you have any favorite movie that you've seen play out nowadays? 384 00:37:01,460 --> 00:37:11,179 I don't have a favorite movie but I have many movies that have influenced me in this way 385 00:37:11,179 --> 00:37:23,539 because I mean as soon as you develop autonomous entity intelligence that can 386 00:37:23,539 --> 00:37:32,900 be taking you know making certain sort of certain decisions for others like humans 387 00:37:34,820 --> 00:37:46,579 we need to trust this and about that we have seen many many examples in the in the cinema 388 00:37:46,579 --> 00:37:52,059 that comes more from the human fears than reality. 389 00:37:52,059 --> 00:37:54,059 But I don't know if... 390 00:37:54,619 --> 00:38:03,940 Because imagine when Isaac Asimov wrote, you know, 391 00:38:06,239 --> 00:38:08,940 The Robot Dreams and I, Robot, 392 00:38:09,300 --> 00:38:12,719 and the other books related to robots, 393 00:38:12,719 --> 00:38:22,619 and there was no robot over the over the air so it was uh 1950 something it was an imagination yes 394 00:38:22,619 --> 00:38:28,360 but so but now it's coming true like some of the things that uh are in in that book in iRobot for 395 00:38:28,360 --> 00:38:34,179 example right now you can yep you can have it in reality yeah we have checked a video at the 396 00:38:34,179 --> 00:38:39,820 beginning of the podcast in which they are moving and having some skills that are pretty similar to 397 00:38:39,820 --> 00:38:42,159 the ones we can check in the field inside a robot. 398 00:38:42,420 --> 00:38:43,860 You remember one of the rules was 399 00:38:43,860 --> 00:38:45,880 a robot cannot harm any humans? 400 00:38:46,199 --> 00:38:46,400 Yeah. 401 00:38:47,360 --> 00:38:49,639 Is that a real rule right now? 402 00:38:49,780 --> 00:38:50,099 Exactly. 403 00:38:50,619 --> 00:38:51,800 All AI systems, 404 00:38:52,059 --> 00:38:55,119 they need to have barriers to protect human beings. 405 00:38:55,739 --> 00:39:01,300 Even chat GPT, every model has guards or barriers. 406 00:39:01,719 --> 00:39:04,659 So programmers are coding the robots with that rule? 407 00:39:04,960 --> 00:39:07,679 Without that, I don't know what would happen. 408 00:39:07,679 --> 00:39:27,599 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. 409 00:39:27,599 --> 00:39:36,760 But if you are in front of a real intelligence that is able to be autonomous, at some point... 410 00:39:36,760 --> 00:39:39,400 Artificial general intelligence, right? 411 00:39:39,400 --> 00:39:57,639 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. 412 00:39:59,000 --> 00:40:03,400 But it could be a liability, it could be a risk. 413 00:40:03,400 --> 00:40:12,820 I think that we have, with different things, I mean, imagine the big failures of humanity. 414 00:40:13,699 --> 00:40:21,400 Think about Chernobyl and many other human error is more powerful than any machine or AI. 415 00:40:22,199 --> 00:40:31,820 And if we instill, and we are very able to do this, instill these errors inside an AI, that could be catastrophic. 416 00:40:31,820 --> 00:40:41,420 this is my my opinion so we this kind of barriers you know as soon as uh this 417 00:40:42,619 --> 00:40:47,739 autonomous entity realizes that our barriers that they are going to 418 00:40:50,139 --> 00:40:58,300 uh i don't know make a kind of work around of uh finding uh how to prevent this virus so 419 00:40:58,300 --> 00:41:10,199 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. 420 00:41:10,619 --> 00:41:18,539 We'll see. But it's an amazing era to live on and it's an amazing time to be alive. 421 00:41:18,539 --> 00:41:38,059 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. 422 00:41:38,699 --> 00:41:41,340 Did you guys watch this movie, Project Hail Mary? 423 00:41:41,940 --> 00:41:42,940 Yeah, I've watched that. 424 00:41:43,440 --> 00:41:44,480 Yeah, last week. 425 00:41:44,480 --> 00:41:48,940 There is a robot in there that can heal anything. 426 00:41:49,460 --> 00:41:51,599 There are some robot arms that, 427 00:41:52,320 --> 00:41:55,460 as soon as they detect something wrong with the person, 428 00:41:55,599 --> 00:41:58,239 with the protagonist, they fix it. 429 00:41:58,539 --> 00:42:02,659 But you mean the robot in the film, or another different one? 430 00:42:02,780 --> 00:42:03,840 No, the robot in the film. 431 00:42:05,039 --> 00:42:07,420 And it's the same robot that gives... 432 00:42:07,420 --> 00:42:07,800 The rock? 433 00:42:08,179 --> 00:42:09,039 No, no, no. 434 00:42:09,360 --> 00:42:13,719 There's a robot in the spaceship that gives coffee. 435 00:42:14,480 --> 00:42:17,699 I'm feeling bad 436 00:42:17,699 --> 00:42:18,320 give me something 437 00:42:18,320 --> 00:42:21,780 and that now seems 438 00:42:21,780 --> 00:42:23,460 possible like you're watching that 439 00:42:23,460 --> 00:42:25,539 and you say okay this is 440 00:42:25,539 --> 00:42:27,920 realistic like I don't know if it's 441 00:42:27,920 --> 00:42:29,500 too far away in the future maybe a few years but 442 00:42:29,500 --> 00:42:31,639 it's possible and before 443 00:42:31,639 --> 00:42:32,679 when I don't know 444 00:42:32,679 --> 00:42:35,400 the previous movies from 445 00:42:35,400 --> 00:42:36,019 I don't know 446 00:42:36,019 --> 00:42:39,579 2001 447 00:42:39,579 --> 00:42:41,579 Space Odyssey or something like that 448 00:42:41,579 --> 00:42:43,699 you watch that and you're like this is impossible 449 00:42:43,699 --> 00:42:50,380 Yeah, but now yeah, that was it. Now you realize that those achievements could be possible. Yes 450 00:42:51,380 --> 00:42:52,420 Yeah 451 00:42:52,420 --> 00:42:53,599 you have 452 00:42:53,599 --> 00:42:57,599 these topics all around these kind of movies and 453 00:42:58,639 --> 00:43:05,199 You can strike these topics and many mix it all together and these these all are our fears 454 00:43:06,039 --> 00:43:08,039 for the future so 455 00:43:08,300 --> 00:43:10,300 in 456 00:43:10,300 --> 00:43:18,539 2001, the space odyssey, you know, there's an autonomous computer that finally decides 457 00:43:18,539 --> 00:43:26,539 that, you know, it makes the decisions, or Kahl makes the decisions. 458 00:43:26,539 --> 00:43:30,579 He becomes evil, right, in that movie, he becomes evil. 459 00:43:30,579 --> 00:43:35,340 This is one way of seeing this, I think that it's not evil. 460 00:43:35,340 --> 00:43:46,820 I think it's a program to avoid liabilities, and the human being at some point was a liability. 461 00:43:46,820 --> 00:43:53,519 So that was an easy decision for him because we are very... 462 00:43:53,519 --> 00:43:55,519 He didn't have the rule in place. 463 00:43:55,519 --> 00:43:56,519 Yes. 464 00:43:56,519 --> 00:44:01,400 Or maybe he had the rule, but he went, okay, I don't know about this rule. 465 00:44:01,400 --> 00:44:05,019 Well, it's a question of reward, you know. 466 00:44:05,019 --> 00:44:13,179 you do more than these rules or barriers you have to reward certain decisions like you know 467 00:44:16,219 --> 00:44:23,099 making the good for the humans it should be rewarded for them and what happened if we have 468 00:44:24,219 --> 00:44:31,980 people scientists programming robots without that rule i mean the the worry right now the danger 469 00:44:31,980 --> 00:44:37,980 is that you have Nobel Prizes right now saying it doesn't matter what rule you put in. 470 00:44:37,980 --> 00:44:43,980 The machine is too smart, you know, it's gonna be smarter than the scientists that are writing the code or whatever. 471 00:44:43,980 --> 00:44:51,980 So that's the situation. There are professors right now that is just designing these rules, 472 00:44:51,980 --> 00:44:56,980 designing these safeguards for AI models that are really, really well paid. 473 00:44:56,980 --> 00:45:11,579 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. 474 00:45:11,579 --> 00:45:19,579 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. 475 00:45:19,579 --> 00:45:24,739 well we'll see what will happen in the future 476 00:45:24,739 --> 00:45:34,039 any other comment or that's all for now i think this is an amazing subject that it could be 477 00:45:34,039 --> 00:45:40,940 you know we can be talking hours and hours uh because there are many angles yeah of these 478 00:45:40,940 --> 00:45:47,420 many different topics to deal with yeah for sure thank you very much for your attention and that's 479 00:45:47,420 --> 00:45:53,239 all for now for the second episode stay tuned for for the following one and that's all thank you bye