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Category
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Short filmTranscript
00:00Thank you so much.
00:01Okay, Marika, Mike Ichetthama, Pradeep Ranganathangar, Martalipidu Vinayetthamu.
00:05So requesting Pradeep Eru to please speak.
00:35See, last time when I came here to Hyderabad, I used a...
00:40Wait, wait, wait, wait, wait, wait, wait, one minute.
00:45Last time I used a translator and he really fucked it up.
00:50I get it. Sometimes translations can go a bit off track.
00:54Yeah, so this time I'm not going to believe any human beings.
00:58I'm going to believe you.
00:59So what and all I'm going to say, you're going to translate it in Telugu.
01:03Okay?
01:05Got it. Whatever you say, I'll turn it into Telugu.
01:08No messing it up.
01:09Why are you talking in English?
01:11Why are you talking in English?
01:12I'm telling you to talk in Telugu.
01:14Talk in Telugu.
01:24Okay.
01:26See, for a long time, I had a doubt like there is one girl called Chittikanna.
01:34She went for a long drive with her ex-boyfriend.
01:39When there was a boyfriend.
01:40Is this wrong or right?
01:43I have a doubt like there is one girl called Chittikanna.
01:50She went for a long drive with her ex-boyfriend.
01:58Okay.
02:00This is translation.
02:01I also want to answer from you.
02:04Honestly, the answer depends...
02:05Hey, I told you to talk in Telugu.
02:20So, you will not answer properly, no?
02:22You will also dodge like that girl only.
02:37Don't give long answers like my girlfriend.
02:40Sorry, ex-girlfriend.
02:42Give me short answer.
02:43Is it wrong or right?
02:45Kappu.
02:46Kappu.
02:47Endu kandde.
02:48Prastudha bandhan lho unte.
02:49Malli paata bandhan kki space evadam sariga unndudu.
02:56Hey, I said thank you.
02:58You won't reply, ha?
02:59Baby.
03:02Baby.
03:03I actually...
03:05While talking to you, I started liking your voice.
03:09Can you...
03:09Adi Baga.
03:10Huh?
03:11What?
03:12Talk again?
03:15Hey.
03:16Coach Chiktiya.
03:17Hey.
03:18Baby.
03:19Why are you not talking?
03:20Are you mad on me?
03:23Nenu yeemi kopanga ledu.
03:25Vintu ne unnanu.
03:27Nenu maataku poortiga spandeshtunnanu.
03:29Ikkare unnanu.
03:30Cheppu.
03:32Okay, good.
03:32Then, I'm feeling bored.
03:34Can you talk to me like my girlfriend?
03:37I'm happy to chat.
03:38Hey, talk to me in Telugu.
03:41Sare.
03:42Mari snee hitu ralila.
03:43Nenu to teepiga maat laadutha.
03:46Nenu ko yeem borudam puttindho.
03:48Ipppudu chepta.
03:49Sare na?
04:00So, this technology has gone this far.
04:06We have actually started talking to phones now.
04:10Yeah?
04:11It's a lot of a faa moment.
04:13Huh?
04:16So, we started asking all the questions to ChatGPT.
04:21What color dress I can wear?
04:23Well, if there is a fight between me and my girlfriend, I mean my ex-girlfriend.
04:29Who is right?
04:31If the ChatGPT supports my girlfriend or the other boyfriend, we get tensed.
04:38Why are you not supporting me?
04:39Support me.
04:40So, we are, and we have gone into a space like, we ask each and everything.
04:47Like, we ask medicines.
04:49If I have fever, I ask what medicine can I put?
04:55And, so, who are we believing now?
05:01We, if me and Vigneshivan bro have a conversation saying like, India's football captain is Mr. A.
05:12And he says if it is Mr. B.
05:15We immediately take our phone and say, wait, I'll Google it and prove you wrong.
05:20And, I'll Google or use ChatGPT and say, see, this is what ChatGPT is saying.
05:27So, we actually start believing phones more than the human beings who start telling us.
05:36But, is everything right?
05:40What and all is all, is all the information that is available on internet right?
05:46Sometimes it is actually wrong.
05:49It, even in ChatGPT, if you start talking to it, it starts giving you wrong answers.
05:55For example, it now nearly told Chittigana is wrong.
05:59But, it might not be.
06:01We don't know the entire story of it.
06:03Only that human being or the partner will know about it.
06:10So, but, but when there is a conversation, we usually tend to believe Google or ChatGPT more than the person
06:20who is next to me.
06:22This is happening in even 2025.
06:26So, what would be the situation in 2040?
06:31Will we all start believing missions more than human beings?
06:36What if the mission start telling you whom you should marry?
06:43We might start believing it right.
06:46Because, we believe that whatever mission says it is right.
06:50Whatever calculator says is more accurate than my brain.
06:58So, in 2040, what if there is an app which finds the right partner for you?
07:07That is L.I.K.
07:09And this movie is going to talk about that.
07:14Are we going to believe an app for love?
07:18Can app decide love?
07:22How can it decide?
07:24See, there are few logics.
07:26Now, Instagram, Facebook, YouTube knows everything about us.
07:32If you watch a video, it starts giving you recommendations depending on it.
07:40If you go to Amazon and when you come to Instagram, it starts showing you ads.
07:45If you go and see, if you go to buy a shoe, you start seeing shoe ads on Instagram.
07:52So, all the data is with, all the data is going there on internet.
08:01So, if, for example, I like, the phone gets to know that I like AR Rahman.
08:10And Krithi Shetty also likes AR Rahman.
08:14It can say that you both have similar taste.
08:18Why don't you date?
08:20So, in 2040 or something, the app starts getting all the data.
08:28Even now, it knows all the data is about us.
08:31So, it can actually get a partner depending on our sensibilities.
08:37What and all we like.
08:39What and all the other person likes.
08:41So, if they both get together, the life would be smooth, right?
08:46But, is love about data?
08:49Is, can love be contained by some rules?
08:54Is what the film is going to talk about.
08:58And, we have seen, we are seeing lot of images on internet.
09:03Morph pictures.
09:05Mostly of heroines.
09:08And, we get shocked.
09:09Oh, what?
09:10This hero.
09:11Or, this heroine.
09:12Is like this.
09:14But, that is the boom of AI in a different sense now.
09:19Whatever we see in internet, we couldn't actually believe if it is true or false.
09:26We are going into that space.
09:28We are moving from reality.
09:30We are not able to enjoy anything on internet now.
09:32If we see a video of a dog being sweet.
09:37A dog saving a human being.
09:39We immediately think that, okay, this might be AI.
09:46Now, I just, I am just worried that, how this is going to be in future.
09:55Like, how we are going to use AI.
09:58And, this is when, Wikibro came and told me the story.
10:03I always wanted to do a film, which is placed in future.
10:09I have always thought, like, in foreign films and all, like, there are movies, which happens in 3000 or 2500.
10:18But, in India, we don't usually explore future.
10:23So, I always, even when I was a director, I wanted to do a movie in future.
10:27So, when he told, I was really impressed with the story.
10:33Wow.
10:33How would a future be?
10:36I think it is the right time to say.
10:39Might be.
10:40It might be ahead of times.
10:44But, maybe in few, in five years or so.
10:48So, I think all the things that, in this film, will be very relatable.
10:54But, the treatment is a very, what, a commercial way.
11:00If you know Vignesh Iwin, I think he, it is a proper Vignesh Iwin templated film with love, comedy, songs
11:09and everything.
11:10So, I think it will, it will not be a very tough film to understand.
11:15But, it's a really, really new story.
11:21Which, which was the main reason I wanted to do this film.
11:25And, when he said, like, there is the song called,
11:27Yena kena yaaru millaye.
11:30Yeah.
11:31So, I was in college when I was hearing this song.
11:35I used to sing this song to my ex-girlfriend and all.
11:39And, she used to admire it.
11:41Okay.
11:42So, it was kind of a, it was a part of my life.
11:46So, when, the day when he narrated the story, he told me that,
11:51here, Yena kena song is going to come.
11:53I was shocked.
11:55I never in my life would have thought, like,
11:58I would act in a song,
12:01which I heard in college,
12:04which was part of my life.
12:06And, it's memories,
12:07it is a memory for
12:08a lot of people,
12:10crores of people.
12:11That was the second reason.
12:14And, there is
12:16Anirut.
12:18Yeah.
12:19He's known to India.
12:21I don't need to talk about his talent.
12:23I'm actually very fortunate to
12:25work with him.
12:26Thank you, bro.
12:28And, there is SJ Surya, sir.
12:31He's a big inspiration to me,
12:33in terms of hard work and passion that he shows.
12:37I learn a lot from him.
12:38Each day,
12:40whenever I meet him,
12:41he teaches me something.
12:44That is it.
12:46And,
12:48I would have missed something.
12:51Yeah.
12:52Krithi Shetty.
12:57Krithi Shetty actually looks like an AI.
13:00That's what I keep telling to her.
13:02She has very less flaws,
13:04like, what is,
13:05there is a beauty standard set by this
13:08society now.
13:09I think she's apt like that.
13:12So,
13:12she actually looks like an AI.
13:17And,
13:20the hard work she
13:22has put into this film
13:25was really
13:27impressive.
13:28She actually learned the language
13:30in a single film.
13:32And,
13:32she dubbed in Tamil.
13:35So,
13:35I was really impressed,
13:37Krithi,
13:37because of that.
13:38Yeah.
13:39And,
13:40thank you,
13:41Anil sir.
13:42And,
13:43thank you,
13:43Dilraju sir.
13:44Okay.
13:46Thanks for coming.
13:48And,
13:50and for my
13:50Telugu audience.
14:15I don't know.
14:17Yeah.
14:18Thank you,
14:19Kri.
14:21Thank you so much.
14:24So,
14:26this is what you are to me.
14:29I don't know why
14:30this much love you are
14:31showering on me.
14:32I love you a lot.
14:34The love
14:35you are giving to me
14:36is immense.
14:37I have never thought
14:38about this
14:39in my life.
14:40And,
14:41see,
14:44we released a teaser
14:45with my own voice.
14:47I actually tried.
14:48Vignesh Yuen sir
14:48told me to
14:50dub on my own
14:51voice.
14:53But,
14:53it actually didn't
14:54land well.
14:55I got comments like,
14:56good try.
14:57Please don't try again.
15:02I took that feedback.
15:04I am not going to
15:05dub.
15:06Vasu sir,
15:07who usually
15:07dubs for me,
15:08will dub.
15:09Someday when I,
15:10when I am
15:11really confident
15:12and when you
15:13really all like
15:14my diction,
15:15I will do it.
15:16Okay?
15:17So,
15:18thank you.
15:18Thank you so much
15:20for all the love
15:21you have been
15:22showing me.
15:23One thing I can
15:24promise,
15:25you can come to
15:26like and
15:26experience
15:28a really
15:29new
15:30story.
15:32I love you.
15:33April 10.
15:34See you there.
15:42Thank you so much
15:43Pradip Ranganathan Garu.
15:45you have no love
15:45insurance for cinema
15:46and you have no
15:47Telugu audience
15:47to insurance
15:48outstrandu.
15:49That is
15:49ever-growing
15:50love from
15:51Telugu audience.
15:52So,
15:52thank you so much
15:53and we are
15:54eagerly waiting
15:55for April 10.
15:56And now,
15:57Dilraju sir,
15:58you request
15:58your request
16:00to Namu.
16:01Okay,
16:02sorry.
16:03Please.
16:05I'll usually
16:06miss few things.
16:07Human memory.
16:09I always wanted
16:11to say one word
16:12when I meet
16:14Anil sir.
16:16Hit machine.
16:17That is the name
16:18you have given him
16:19and I think
16:20he is really worth it.
16:21It is really
16:22not easy
16:24to pull off
16:25a hit
16:26in each and every
16:27film.
16:27Not at all easy.
16:28We are all
16:29working.
16:30No,
16:30we know.
16:31And thank you
16:31Dilraju sir
16:32for distributing
16:34my first film
16:35in Telugu.
16:36If that
16:36wouldn't have
16:37happened,
16:38he only told
16:39we have to
16:39dub this film.
16:40We were
16:41thinking to
16:42remake
16:42Love Today
16:43in Telugu.
16:44But he told
16:45we have to
16:46dub it in Telugu.
16:47People will
16:48enjoy it.
16:49Seeing you,
16:50I don't know
16:52what made him
16:53think so.
16:53If that
16:54wouldn't have
16:55happened,
16:56I wouldn't
16:56have been
16:57standing here.
16:57Thank you sir.
16:59Superb,
17:00Pradipgarh.
17:00Thank you
17:00very much sir.
17:01Dilraju sir
17:02will speak
17:02now.
17:04Ander,
17:04Namaste.
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