- 11 months ago
In a session at the India Today Conclave Mumbai, 16-year-old AI innovator Rahul John Aju stated, 'AI will not replace you, but someone using AI will'. The founder of AI Realm Technologies, who developed his humanoid robot clone 'Mebot' at age 12, also addressed significant concerns about India's education system.
Aju, who is largely self-taught, argued that he is 'just another normal kid who learned AI stuff from the internet,' highlighting the need for educational reform. He also spoke about the environmental cost of large language models and the importance of developing smaller, specialised AIs.
Aju, who is largely self-taught, argued that he is 'just another normal kid who learned AI stuff from the internet,' highlighting the need for educational reform. He also spoke about the environmental cost of large language models and the importance of developing smaller, specialised AIs.
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NewsTranscript
00:00So our next session, ladies and gentlemen, meet India's youngest robot whisperer.
00:08He's all of 16, just turned 16.
00:13Raul John Aju, 16 year old from Kochi.
00:19He's a founder of AI Realm Technologies, where he creates legal bots, automation tools, and even human-eyed robots, all by casually.
00:29He does it at 16 years of age.
00:36Can we get Raul John Aju on the stage, please?
00:39And that is his own creation.
00:41Put your hands together, ladies and gentlemen.
00:46Yeah, I think somebody needs to give him a mic.
00:48There, I'll go.
00:49Okay, hi.
01:00Is that all the energy you guys got?
01:01Hello.
01:03Hi.
01:05Okay, you guys got to do better.
01:06I was speaking at India Today Conclave South, and they had much better response from the audience.
01:12So you guys got to do better, okay?
01:14Okay?
01:15Okay?
01:17And he was so good at the India Today Conclave South that we had to bring him to India Today Conclave Mumbai.
01:23Go ahead, Raul.
01:25Thank you so much.
01:26Thank you, ma'am, for coming.
01:27So this is a robot that I made four years back.
01:31So it is not in the best shape, and it is supposed to move on its own and stuff, but courier and stuff.
01:37So do you guys want me to talk to it?
01:40So the peculiarity about this robot is that it's my clone.
01:44So it talks in my voice and stuff.
01:46So I don't want to.
01:47Let me just show it to you guys.
01:49So, hi, can you hear us?
01:58Hello, can you hear us?
02:03Shy, maybe today.
02:05I think the sound is less.
02:09Hello?
02:09I think there's a small problem with the network.
02:11Hello?
02:14Okay, they are blaming it on the Wi-Fi.
02:16There is a network problem here.
02:18Yes.
02:18Or maybe just the robot's feeling a tad bit shy.
02:20You want to get on to your presentation first, and then you can circle back?
02:23But I think...
02:24Hi, can you hear me?
02:30It is giving responses, but the sound is not coming.
02:34One second.
02:35I'll just do one thing.
02:36This should work.
02:38I think the speaker is not working.
02:41Okay.
02:41Can you hear me?
02:42I think there might be a little mix up there.
02:45What can I help you with today?
02:47What is your name?
02:48I think he's having a tantrum like any...
02:55Hey there, my name is Rahul John Aju.
02:57Nice to meet you.
02:58Your name is Rahul John Aju?
03:00Okay, what do you do?
03:01My name is Rahul John Aju.
03:08What do you do?
03:09Your name is Rahul John Aju, right?
03:11Okay, that is my robot, guys.
03:16I'll show it to you guys by the end.
03:18I think there's a small network delay.
03:19I think there's a network delay.
03:20Yeah, the wife...
03:21Like I said, because he's what a reflection of you, and he's all at 16, he's just having
03:25teenager issues.
03:26What are you doing, man?
03:27My name, you ruined it.
03:29Hey there, it sounds like you might have a typo there.
03:32Let me know how I can help you.
03:33Yeah, okay, bye.
03:34Let's continue towards our presentation.
03:36We'll meet him by the end.
03:37Is that okay?
03:38Yeah, that's what we're going to do.
03:39Yeah.
03:39All right, so we're going to circle back.
03:41Does he have a name?
03:43MeBot.
03:44MeBot.
03:44Yeah, I'm not going to call him Rahul John Aju.
03:46That's my name.
03:48Rahul actually developed MeBot when Rahul was how many years old, Rahul?
03:5312 years old.
03:54When he was 12 years old.
03:55Along with doing what he does is developing robots, Rahul is also the founder of AI Realm Technologies.
04:03What all do you do, Rahul, at the great age of all of 16?
04:08So, I'm a founder.
04:09I take sessions around the world regarding AI.
04:12I'm more into the software side of stuff, like you saw, not that best in hardware, but
04:16I started with creating robots, but now I'm a content creator.
04:19I've taken sessions from IIT Madras to the India Conclave, like I think most people might
04:24know, but yeah, stuff like that.
04:26I've taught around 150,000 plus students around the world in different countries and businesses.
04:31You know, I have to do this, guys, because I looked up his resume.
04:37He's 16 years old.
04:38He developed this robot at 12.
04:40He was into AI when he was all of four years old.
04:43That is in 2013, when most of us only knew of AI through what science fiction, Hollywood
04:48films.
04:49And today, I want to take you through this.
04:52He's the founder of AI Realm Technologies.
04:54He is a three-time TED speaker on AI, future tech, and with all of 16, also life.
05:02You're a life coach at 16 years of age.
05:06He's taught in over 1,40,000 universities and students, professionals, as places like IIT
05:14Madras, Google Tech, and other companies as well.
05:19He's held sessions across the UAE, U.S., U.K. He is a twice national award winner in what
05:26is the biggest AI competition in India, which is the Buildathon.
05:31And it goes on and on and on.
05:33And that's all of that packaged in that young boy that you see right there, which I want
05:40to ask you, because I was having a chat with him behind the stage.
05:42So I was like, what does your dad do?
05:43How did you get into AI?
05:45He turns around, he tells me, my dad works for me.
05:47And I'm like, what?
05:49When he needs to be giving you, what?
05:52Pocket money?
05:53Yeah.
05:54You have employed your dad.
05:55Is dad in the audience?
05:57There.
05:58That is him.
05:58That's dad.
05:59Also my cameraman, so.
06:01All right.
06:01So while we're going to come back, you know, I'm amazed.
06:05Also, Raul, I'll tell you, you know, the last two days, the sessions that I've got,
06:08yesterday, I had this prodigy who at 20 was playing, he's a pianist, and he was playing,
06:14you know, a chop-in from one hand and Mozart from the other.
06:18And today, and he was all of 19 years old.
06:21Wow.
06:21And today, I have you.
06:22I think it's a definitive effort to make me look bad, because I keep getting these, these
06:27young prodigies as guests.
06:28But come and Raul, on your presentation, and we'll circle back to MeBot.
06:32Yes, definitely.
06:33Please work the night, please.
06:34Okay.
06:35Okay.
06:35So, hi guys.
06:37Again.
06:37Hi.
06:39Hi, Mumbai.
06:41Okay.
06:41Is that all you guys got?
06:42Okay, we'll come back to that.
06:44I'll make you guys interactive.
06:45Anyway.
06:47Yeah.
06:47Okay.
06:48Bye.
06:48Don't have your own mind about it yet.
06:50So, in short, yeah, that is my father.
06:54Say hi, Appa.
06:56Hi.
06:56Okay.
06:57So, this is a robot that I made some time back with trash that I had laying around.
07:02Right?
07:03Things that, I was like, why is it laying around?
07:05I kind of want, I was very lazy, if I'm being honest.
07:08I still am, kind of.
07:09But that time, I wanted to take sessions.
07:13I was taking sessions in US and all, but I wanted to take sessions after 12 o'clock in
07:17the night, even though I had school the next day, but I was not able to get their questions
07:21answered.
07:22I was never able to do that.
07:24So, what I did is that, I created a kind of a clone of me, a game of me that talks in
07:31my voice that explains concepts like me and describes what is EA and stuff like that, just
07:38like I do.
07:39Because when you Google it, I don't understand anything.
07:42Okay?
07:43So, I need it to be understand like a five-year-old.
07:45So, this is why I created a clone for those US kids, so they can understand concepts, just
07:52like how I explain it while I'm sleeping.
07:55So, I'm still teaching while I'm sleeping.
07:56So, that is what I put into my robot.
07:59Now, there is a Jetson Nano and all inside.
08:01I can show it later.
08:02But, in short, that is my robot, MeBot.
08:06Now, this kind of, this robot is actually one of the best in another nation, my imagination.
08:14But, like, but going from imagination to reality, right?
08:20We have been using AI for a very long time.
08:23How long?
08:24Do you guys know?
08:26How long have you guys been using AI?
08:30Four years?
08:30Say yes.
08:33Three years?
08:35The more louder the answer, the better the answer.
08:37Two years?
08:39Yes.
08:39Okay.
08:40More two years.
08:41How much years has it been since you guys have used keyboard or autocorrect or YouTube?
08:47Ten years?
08:49It has AI, right?
08:50What got popular was Gen AI.
08:52Let me explain.
08:53So, when there was autocorrect, it predicts what you want to type next.
08:58It predicts the next sentence or the next word in a sentence.
09:02That is AI, right?
09:05I'll explain.
09:06Even how this robot works, all is same.
09:09I'll explain how I think, how my robot thinks, all in this PPT.
09:13Okay?
09:13So, this is how AI brain looks.
09:16I know it looks like some chemistry, something very boring.
09:19But this is how a human or AI brain looks like.
09:25I know it doesn't make sense at all.
09:27People side it.
09:28I'll explain.
09:29Okay?
09:29This is, imagine this.
09:32What if I say, what is your name?
09:37Right?
09:37I didn't hear anything else.
09:39Only name.
09:40Why?
09:40That is what is most commonly said.
09:43That has the probability, the chapter I hate most in my maths.
09:46But that has the probability to come the next in a sentence.
09:51Right?
09:51What is your dash is name.
09:53It predicts what's coming next.
09:55Probability.
09:56Now, that is the same thing that AI uses.
09:58So, I love cats.
09:59So, the cat, I also like dogs.
10:01No partiality.
10:02But the cat likes to sleep in the bed.
10:05Box.
10:06Zebra.
10:07Okay?
10:07Bed.
10:08In short, 0.52 chances of that coming.
10:11Right?
10:11Not on top of a zebra.
10:13No one would say that.
10:14So, it has that prediction.
10:16Now, so, this is how even, just like autocorrect, chat GPT also responses to your question.
10:22It takes in your question, understands that, and just predicts what's coming next.
10:27Just understands what's coming next in the sentence.
10:30It doesn't even know what it's talking about.
10:32It can even say, Rahul Janaju is the Prime Minister of India.
10:34Right?
10:34It can say a lot of stuff that is wrong.
10:38Right?
10:38So, that is what hallucination and all is.
10:40Anyway, that is why even you are not responding.
10:42I don't know why you are not responding.
10:43I don't like you.
10:44Okay.
10:44Now, see, pictures are also created in a very similar way in AI.
10:49For example, it is, again, the game of boring math and data.
10:55Okay?
10:56It just explains, kind of, look at this.
10:58Okay?
10:58This is a really, really blurry picture.
11:01And it goes to a picture of a cat.
11:04What does this mean?
11:05Why am I showing pictures of a cat now?
11:07It's not an Instagram reel.
11:09Okay?
11:09In short, imagine I have a blank canvas.
11:12Okay?
11:12And I want to teach AI how to draw cats, like I said, obsessed with them.
11:16So, I will teach it how to go from a blank canvas to a picture of a cat.
11:22I'll do the reverse voice as well.
11:24I will teach it how, I'll give it 10 million pictures of cat.
11:28And I'll teach it how to go to a picture of a blank canvas.
11:32So, what happens?
11:33So, when it goes from a picture of a cat to full noise, it can also learn how to go from noise to a cat.
11:40When it hears the word, cat.
11:43So, that is how kind of AI creates pictures as well.
11:47So, that is how we work.
11:49Right?
11:49From the time we are born, we might see a lot of cats.
11:52Do you guys see a lot of cats?
11:53Like, whatever, chair or anything.
11:55Now, even seeing this robot, you might, next time I tell you to draw it, you might have a very vague data.
12:00But, if I show it to you 10 million times, will you ever be able to forget it?
12:04No, right?
12:05Sorry, I'm showing you that many times.
12:06But, you will never be able to.
12:07You will be able to redraw it.
12:09Right?
12:10That is kind of how AI works.
12:14It just predicts what's happening based on previous data.
12:18It just draws it.
12:19That's how AI creates pictures as well.
12:21Now, including our YouTube, it predicts what we want to watch.
12:25That is AI.
12:25So, we've been using AI, not for 4 years, not for 5 years, but for 10 years.
12:31Right?
12:31Okay, guys?
12:34Thank you, ma'am.
12:35Can we get big laughs so bad?
12:38I mean, guys, you guys have to respond to my questions as well.
12:42Because, if I can come here and talk, you guys can definitely can.
12:45Okay?
12:45So, so, okay.
12:48Now, what got recently popular?
12:50Right?
12:50So, if someone asks you, how many years has it been since you're using AI?
12:54You could actually say, I've been using it for 10 years.
12:55You know, not 2 or 3 like you.
12:57You could actually say that.
12:58But, when it comes to generative AI, that is what occurred in the last 3 years.
13:05Like, generating text, generating pictures and all the stuff.
13:07I already explained it.
13:08Why am I talking about it?
13:08But still.
13:09Right?
13:10That is generative AI.
13:12Being able to generate something new.
13:13And that is the AI that everyone says is going to take your job.
13:16That is the AI that says that is going to kill us all.
13:19That is the AI that says is going to do everything.
13:23You know, kind of kill our curiosity, do this, all the bad things about AI goes to our sad
13:29generative AI.
13:31But, here is where I am going to support it.
13:33Okay?
13:33Because I don't want it to kill me first.
13:35But, imagine this.
13:37Okay?
13:37The big companies in the world like Google, Apple, Microsoft, all those are computer companies.
13:44Right?
13:44Because when computers, see, the same thing I talked about in the other conclave as well.
13:48Just recapping that.
13:49But, when first computers came, everyone was like, oh no, it's going to take a job.
13:53Type write a job.
13:53This, that, job, job.
13:55Did it actually take those jobs?
13:56It did, actually.
13:57But, in the next 10 years, we actually got a lot of jobs back.
14:01That similar thing is going to happen with AI.
14:04That's what I believe in.
14:05Don't come after 10 years later saying, Raul, you told all the jobs will be back.
14:08Where is it?
14:09Don't do that.
14:09But, but, with computers, that is what happened.
14:14Right?
14:15And, I was talking about a quote where AI will not replace you, but someone using AI will.
14:20For the next 10 years, you will lose a lot of jobs.
14:23And, after that, you will get a lot of jobs back.
14:25Because, when the internet came, everyone was like, it's going to take our jobs.
14:28What do we do?
14:29But, after that, we got a lot of jobs back.
14:31Right?
14:31So, very similar to that, that's what I feel is going to happen as well.
14:35And, the jobs that are, so you'll be like, what do I next for the next 10 years?
14:39Do I stay unemployed?
14:40Well, no.
14:41For example, managers.
14:43Those kind of jobs.
14:44Right?
14:44Which are going to be in very high demand.
14:46The job that is able to manage everyone.
14:49Manage human.
14:50Manage AI.
14:51That is going to be more peculiar.
14:53That is going to be more in demand.
14:55Right?
14:56Because, AI can't manage people.
14:57It's very hard to do that.
14:58Right?
14:59So, those jobs like managers and all are going to come next.
15:02Now, in the future of AI, how we'll be teaching AI, the future of, not humans, but AI, is that, in short, by showing it, like humans.
15:13For example, my father gives me a lot of shows, guys, help me.
15:16But, in short, when I kind of wash my clothes or, for example, when I clean my dish, I can actually teach AI how I do it and I can tell it to replicate that.
15:29Very much like that, I can make it do a lot of stuff.
15:32Right?
15:32Imagine you're a barber.
15:33You can teach it.
15:34Now, this is not imaginary.
15:36I can actually show it and make it do stuff.
15:38NVIDIA released a glass where you can, glass is spectacles, where you can teach AI to do stuff by showing it stuff.
15:46That is the future.
15:47Right?
15:47Because, first, everyone is like, AI is going to take curious, AI is going to do jobs, boring jobs, like be in factories and all.
15:54But, what job did it do first?
15:56It actually took us curiosity.
15:58Like, it did all the creative stuff.
16:01Right?
16:01Like, create pictures and all.
16:02But, in reality, pictures like this, like, not pictures, it doing real life stuff, that was most special.
16:09Now, in a world where a developer of $200 needs to compete and reduce their amount of AI being able to develop that same thing for $20 a subscription, how are you going to compete?
16:22That is why I'm talking about all this of how you should use AI to make it much more simpler.
16:28Now, actually, I was hearing the last presentation.
16:30Sir was already talking about narrow AI and stuff like that.
16:34That's why I went slow in the first half.
16:35But, I don't want to go over it.
16:37The Chinese room argument and stuff like this.
16:39I'm just going to skip over it.
16:40But, what I want to focus on is nothing, you know, what about the future of AI or anything like that.
16:47Not even the future of him.
16:49But, in short, the future of AI.
16:52Because, I talk so much good about AI.
16:54But, what is the dark side?
16:55Is it really going to take a job?
16:57Is it really going to kill us all?
16:59That is not the real problem.
17:01There is a problem that we are facing right now that people should resolve.
17:05That is SLMs.
17:08Let me explain.
17:09Okay.
17:10Right now, when you ask a question to AI, more than, it is taking 20 times more carbon footprint or it's taking 20 times more energy than a Google search.
17:21It's hurting our planet.
17:23Right?
17:23So, isn't it better than just doing a Google search?
17:26Why are we asking chat GPT?
17:27Right?
17:28It's hurting our planet a lot.
17:29Because, the servers, the computers are on 24 hours.
17:33The energy, the coal is burned.
17:34A lot of carbon dioxide.
17:35It's not the best.
17:37Okay?
17:37And, to solve that, at least even in my company, AIRM Technologies, what we do is that we are not trying to build the next chat GPT.
17:43We are trying to build the next rescue AI or the next ZapGap.
17:48Because, we are trying to focus on deep, vertical stuff.
17:51Right?
17:52It's for them.
17:53Just them.
17:54So, when you ask a question about medical, it doesn't need to go over AI, blockchain, and it doesn't need to look at law.
18:00It can just be about medicine.
18:02Right?
18:02Those are the tools that we need.
18:04And, for example, in LLMs, it's one of the ideas that I had, one of my mentors gave me this idea was, there were LLMs.
18:10Right?
18:11Where it's large language models, where you can give it a lot of information.
18:15But, what if we could have LLMs?
18:17It's smaller, but made for that specific task, and it answers questions way better.
18:22That's SLMs.
18:24Have you guys heard about it?
18:25Chances are less.
18:26Have you guys?
18:27Okay.
18:27Yeah.
18:27So, because one of my mentors did tell me, and we should try to implement this more.
18:32Now, personally, I know the time is up.
18:34So, I think even I, whatever I do, wherever I go take a session, even the PPTs I use here.
18:41But, the problem is, I want to talk about the education system, because wherever I go, everyone asks me, where do you learn all this?
18:47What do you do?
18:49My school actually has helped me, not going to lie.
18:51Okay?
18:51But, I feel our education system as a whole needs to be changed, because it should not teach us to memorize stuff.
18:57It should not, it should prepare us for the real world.
19:00And it should be fun to learn, not just sitting in a class and listening to lectures.
19:03Because, personally, even my friends and me, most of them, I showed them everywhere, because they, he has a company of around 1,700 crores, guys.
19:14And he's not going to school, and he lives in Mumbai only.
19:16And, and he is 14 years old.
19:19Right?
19:20Pariniti, all of them, they, they don't go to school.
19:23Luckily, I do.
19:23Just to be with my friends even.
19:25Right?
19:25That's the only reason.
19:26To socialize.
19:27Because our education system needs to be improved.
19:31Right?
19:31And, trust me, there's another section where, did you know, more than 8% of suicide cases in India are from academic stuff.
19:41Because, academic pressure.
19:43And that really needs to be improved, because I'm a person who self-learned most of the stuff.
19:47And that is not supposed to be happening.
19:49Our education system should be teaching us this stuff.
19:52Right?
19:53And I say it everywhere, because everyone is shocked.
19:55I think first 10 minutes, most people were not answering, because most of the people were shocked.
19:59Like, who is he coming and teaching?
20:01You know, it's so tiny.
20:02Most people do tell me that.
20:04But, it's not because I learned I'm a special prodigy or anything.
20:08I'm just another normal kid who learned AI stuff from the internet.
20:12Right.
20:13That's it.
20:13Anyway, that's it.
20:14Thank you, guys.
20:15Hope it was not too boring.
20:17Well, thank you.
20:18We wish we had more time, especially with the robot.
20:21But, thank you so much, Raul.
20:23It was a pleasure having you.
20:24How many of you went to school to socialize?
20:28That's what Raul does.
20:29Raul, thank you so much.
20:31Thank you so much.
20:32It was great to have you.
20:33Great to have you.
20:34I wish I could show you.
20:34Ladies and gentlemen, please, a round of applause for young Raul John Ajua.
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