🎉😎 125th SPECIALL | ROUND TABLE #1 | RAW TALKS WITH VK | TELUGU PODCAST | EP - 125

New attempt. >> First ever round table on road talks. >> This is very interesting. >> 1 1 C 1 second. >> Hello. Hi. Hi. Hi. >> So. >> Wow. This was impressive. >> This is my problem statement. >> Can we do all of that? >> Yeah. >> Let us try. >> So then we'll start. >> Well, is that possible? >> [music]. >> But it's too risky. >> Okay, let's get to the answer. >> Yeah. Yeah. >> Okay. >> That is insane, man.

>> Prompting and then clarifying what. [music] you want. >> [laughter]. >> Gemini 3.1 Pro is a good mention.

>> What are those crazy things that you do. with AI in your system that you won't. advise anyone to do? >> What are those five top channels that. you follow? >> Video is AI. My audio is AI. My. thumbnail is AI. Everything is. >> How much are you making from your. YouTube? >> Less than a. >> Are you using AI for script writing? >> [laughter]. >> And it's a part of evolution if you want.

>> the wheel to go then the square has to. cut off his edges. >> Is this the first time in your podcast. that we're eating? >> Actually, yeah. >> No, but you know what? I had a lot of. fun. >> Welcome [music] to the show. >> Thank you. >> [laughter]. >> One eternity later. >> Pack up. >> [music].

>> Okay. So, new item to go with it. I. should I need a Wish me good luck. >> [laughter]. >> And. And that he speaks on though. I don't know why. Uh events are going to be on today. We have done open mics though. She's all active. I don't know why I. have to stay here though.

I don't know what I'm going to do. anymore. And my father super active in. front of the camera. I don't know why. I don't know what happened, but Anyways, thanks. Thanks for accepting. Finally, welcome to the show. >> [laughter]. >> So, after yesterday's conversation. a break though shoot got started. I don't know what I'm going to do today. I don't know what I'm going to do. anymore. I was thinking I don't know what I'm. going to do anymore. Why am I just daring to just stay away. from certain things. It's time for me to. actually explore properly. Uh especially. adapt on a.

I seriously wanted to push that. I don't. know what I'm going to do anymore. But yeah. So, today uh completely I know. I don't know what I'm going to do. anymore. Uh topics could repeat or what. you want to do in a practical way. Let's brainstorm. Uh I don't know what. I'm going to. We'll we'll rope in a few guests also. I. don't know what I'm going to do anymore. So, where we're going to take their. problem statements. Let's explore. I. don't know what I'm going to do anymore. I don't know what I'm going to do. anymore. I think Before getting into the. proper crux of the conversation. the prompt prompt engineering or.

prompting in a couple of words I used to. feel I don't know what I'm going to do. anymore. But with time, every month, every every. activity I I do on on a AI platforms or. chatbots though. I understand I keep getting the. I don't know what I'm going to do. anymore. I don't know what I'm going to. do anymore. Like for example I don't. know what I'm going to do anymore. She was on fast. So I don't know what. I'm going. So Carlo and back and she was she was. complaining headache headache headache.

and okay fine. So she opened chat GPT. She told this is what is happening since. yesterday. Headache was to me now cool. And uh I'm on fast today. This is what I. know. Now ask me more questions to. understand my situation. This was very new for me and I know. cool. Oh, this is a new new way of asking a. question to a chatbot. That means it'll it'll give a list of. option. It gave list of options.

And with a patience to me open it on. your cook a question to answer it going. to that was single audio. >> 30 30 long questions it's in there. >> Almost another accurate which is not. all. She was all good in half an hour or 45. minutes time. So utilizing and. leveraging leveraging an AI to actually. understand how to use use an AI. Okay, okay, so I just don't want to know. I understand why is it so over spoken. and why why why so.

But yeah. What do you think. what's happening around around us? Yeah, go to please welcome welcome to. the show. >> Thank you. Thank you. Coming to prompting. So. prompting and then. Yeah, yeah, I don't think so and then it. is always. clarifying what you want. Okay, I do prompting.

I put. it over sorry previous occasion but you. have been but I I'll use it again. I buy it again dialogue chapter. The. antique watch and. I can still have big with you not in the. middle of my. >> [laughter]. >> Okay. Shorten just me. >> Clarity channel. >> [laughter]. [laughter].

>> Welcome welcome to delete to the. podcast. >> [laughter]. >> No no no. >> He was mentioning that. >> [laughter]. >> Okay, sorry. >> You know what is happening? I don't know. if you've heard.

>> [clears throat]. >> of context engineering. Context. engineering and tell a popular end. What is context engineering? Is exactly. what we are in a way telling and what. you guys are doing also on water. Prompting and. prompt engineering is. question. That is prompt engineering. Context. engineering and then. how do you give the AI model in a. context right? For it to be able to. solve the problem.

The moment you go through the adapt. framework and go deeper, by default we. are becoming context engineers. No one up if you will see my prompts and. all right. Now I will accept that and. then okay, I want you to do this task. For that you need to go to my email. For. using my email. use the Gmail MCP. tool. The other thing I want you to go and. fetch the data of my YouTube analytics. For YouTube analytics. use the Chrome browser using a browser.

use. Browser use on the tool beta which AI. has access to. But you're not letting AI. to figure it out itself. So it's context is all about making it. easier for AI. to understand what it needs to do. >> So, are they. in this. for me to. both of you? Agents use this. in. Still you will be using this HR.

chatbots. Yeah. Can you know a lot of. what a chatbot is just learning? >> Sure. I think. Again, right? Dabbling phase and we keep. going. So, I use everything. And I keep using everything. The reason. is it's our job to teach everyone also. what is working right now. Right? Generally go to. uh. not back of my head is based on use. case. >> Right. >> Go to one of these. For example, deep.

research is a research area about any of. the topic. Right now, my answer every. tool has deep research. But I use perplexity majorly. Perplexity is only one feature on the. It's called model council. What is the power of ChatGPT? It's. model. ChatGPT model and the GPT. Gemini is a model of Gemini. Anthropic. model Claude's model or Anthropic's. models are Opus and so on.

Okay, platform to disconnect and then. condense this one. I think perplexed people out of the box. just doing using something called as. model council. >> Okay. >> So, the leap is going to show you very. quickly what model council is. >> Absolutely. You put model council. though. One of the business idea and. validate check them. >> Right. >> Okay. So, I check them. Any business. idea that you have you want it. validated? >> Okay. So, basically it's majorly for. optimizing retail outlets. So, we have a.

lot of, you know, specially when we talk. about restaurants. There will be a lot. of people coming in and sometimes we. don't address those people. So, there. was one business idea. They were. completely into computer vision money. key uh CC cameras on the other CC. cameras give connected something. I'm. not sure what they connected. So, I do. it come under computer vision technology. to it captures everyone's face and a. table with the end of the kitchen at. every kitchen at any and let's say if. someone is not addressing them, it'll. ring their bell inside and that person.

will go take care of them. A lot table. count and and the money will lost. another How much time are we wasting? Because sometimes we keep talking. especially when we go to cafes, we keep. talking a lot. So, in the time waste out. of me. So, to optimally utilize all of. these things. uh in Chennai he started doing that. So, that's the business idea. >> Okay. >> So, this is Whisper flow with a. >> Whisper flow. >> So, this is a tool that we use in fact. everyone in our company uses to convert. voice to text.

>> There was this video also They said. they'll give a Ferrari if you are uh. even though I can mistake to be Chinese. in the first matter and the slow matter. and they say no good will give you a. right. >> I've never tried this. Kudos to tonight. He was a good friend. Very good friend. Uh for the product I. didn't realize that my table will matter. to me more than English or Chinese. >> crazy there is a. >> uh what the feature of the auto model. and they So, I got plus and only I got. to get the model console and on the.

matter. So, I got to knock again I got. to put on the. uh pro it going to It person double cut. down the Okay, Connie now. it ain't done there in future they will. make it to other versions also. >> for sure. >> First time getting into the main just. first features me but. payment to Chase it eventually they. release it to others. I can reduce the. models on my GPT 5.4 thinking model. It. will come better money. Okay. Gemini 3.1. Pro it will come better money. When I. punch out of the window with a So, I.

We learn more to eat business idea. correct. >> Nice. >> [laughter]. >> Okay. >> Okay. Nice. >> Single single answer.

>> Really it's not like that. >> Mhm. >> [clears throat]. >> So this is a discussion and then it's. not like okay. >> A debate between three different. >> It's like different versions. This is. like different, you know, AI models. discussing together and then coming up. with an output. Crazy.

>> Yeah, go for it. Go for it. >> So. Council. >> Mhm. >> Zoom in a little, no? >> So basically what is happening is when. they. Okay. Understood. I think the question is.

answer which I can you can take it to. all the three models. I'll tell you what. it's doing. Three different AI models. Each of the AI model can let's say chat. GPT key Gemini in the cloud answers is. to know. Gemini key. What are the other models and answers is. to know. So we are giving answers of. other models also to each one of the. models and Babu in the money. They Mhm.

Mhm. Mhm. Mhm. Right. Mhm. Oh. Mhm. Mhm. Mhm. Mhm. Mhm.

Mhm. Okay. Okay. Mhm. Okay. Mhm. Mhm. Mhm.

Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Okay. Mhm. Mhm. Mhm.

Mhm. Right. Mhm. Mhm. Mhm. Right. Mhm. Mhm. So Mhm. Mhm. >> default because hand off and it grow up. well they all can be it will make it. forcefully think in different ways.

>> Mhm. >> And eventually debate with each other. and coincide with the solution. >> So. >> A problem statement validation of today. with different AI models. There is the same AI model competing. with each other. >> Comparison. >> Market research I need to check. >> Validate channel check. >> I just validate. >> You can enter mobile open up problem is. real and commercially [snorts].

validated. Do not use facial recognition use. anonymized tracking. And again there is an India's DPDP act. The act on the so many implements you. can do and the act good to be going. And then you know we technology is going. to about the body idea. >> Data of protection. >> Data of protection I want to choose. quality. The weather. existing CCTV. use existing CCTV don't sell hardware.

Hardware better though already solved. problem software low running. The weather target organized restaurant. chains first not single outlet. Single. >> The model disagree can you get it? >> Confidence level. Okay I want you worth. validating cautious. You can go to. moderate but sharp strategy. You can go. to high viable and time timely. >> Okay.

>> So you can disagree mental go to market. key. You can go to time on the counter. when you leave leave it in good way that. you can go to Monday hit your external. The weather. It is because it is me discussion. watching it is a document of the. government. You can go. Uh that it didn't get that. starting city at which mobile better. than any. Okay, I'm going to South Indian chain up. there. >> Okay. >> Hyderabad or Chennai and another in. quality Hyderabad. >> What the hell?

>> comprehensive analysis. >> comprehensive analysis what the hell is. it? >> Nice. >> analysis. >> final recommendation going on there idea. worth pursuing and the. chassis chapter 9 idea worth pursuing. but only with a privacy first anonymous. approach targeted at Indian restaurant. chain solving the specific problem of. customer attention latency and table. turnover. don't build. generic restaurant AI. build the system that ensures no. customer goes unattended and then near.

the general restaurant AI stack near the. voicing invoicing menu day away and come. back a problem this guy is all day. I think I'm a nation. >> That's right. equal on statement. more different platforms key to work at. the a moment. definitely worth paying for it That's. what I I personally feel. I didn't know. this unfortunately. >> I'm going to make it more than chapter. 9. It is perplexity. Could build it.

Lord chill out. in the cloud and just. tell her what model in the model to the. model to the model to the model to the. model to the. It is Google going to tell her. I would. say I would say I would say. >> Because perplexity has all the models. together together. >> What I like about perplexity. >> model council is. every model has its bias. Every model works differently. It's like. five smart people when they're on the. road. and under. are sharper in one area. >> Yeah, unique. Yeah. >> unique in their own ways. I'm able to.

get five smart people to work for me. rather than one kind of smart person. working for me. That's the advantage. >> So if you would be the search key you're. using public city. >> Correct. >> What are those other key areas or key. issues? >> make it very quick. In fact, I might. have a different stack, he might have a. different stack. And that is the beauty. Mainly for content research and all then. Grok what to do. Grok and what to do and then it has. access to, you know, Twitter data.

So, Grok what to do content research. work. Right? And then I have a topic and. content restaurant and going to I. perspective is going to end up. So, Grok has access to all the tweet. data which it can pull. So, which is. great. Uh but content rewriting. anything creative. then can I Gemini what to do now? >> Okay. >> Creative writing because Gemini 3.1 is. very good with creative writing better. than everything else. Based on my taste. That's the point. Uh. anything on the go very quick email. rewrite Charlie Edie Edie type of a.

month and a chat GPT what to do now? For. anything development coding or anything. like that, I usually use either Claude. or I will go to something like MiniMax. 2.7. Right? MiniMax 2.7 Chinese model I do. you have to use something via open. router but Claude is basically very good. and imagine a 5.4 Codex is also very. very good which is by open AI. That is. with coding. Now, you'll be like no. developer coding and what to do now?

You will see over the course of today. problem statement same what you know, it. doesn't matter if you're a developer or. not. All of us are building. >> Right. >> Right? So, selecting the right model is. very very important. Uh. anything with automation. either an automation Charlie agent build. Charlie along with it then came in a. month and a it's majorly Claude models. So, that is my high-level stack if I can. imagine. >> And context is about to you are. mentioning about couple of Chinese.

models or tools that are. Say for suppose I'm a. I'm a guy who's against of this Chinese. apps and then anything that by my own. good. I got to risk it to go to my mail better. than anything. >> But I should log into that. What is the solution there? If you use a tool like open router, if I. can share my screen. Because you think it's not. safe and all. First of all.

>> [laughter]. >> LM Studio is one. where you can install a app like Chat. GPT. Or you also have something called. as Ollama. >> Okay. >> Why is it a download button? Because. First of all it will download that.

model. Look at this. I don't know AI model which is open. source. >> Okay. >> Right. GPT Anthropic models are closed. source. And there are a lot of AI models by. Most of the Chinese models are open. source. >> Okay. >> Quen 3.5 open source and all. Now open. source and. Open source and the basically AI model. name. my own server run just go to then tweak.

just go to. So Ollama is a software where I can. install an AI model on my computer. Which is happening right now. Even if you don't have internet even if. you are basically traveling. on a on a flight or anything, you can. use this AI model to you to run. Every computer has a.

>> Mhm. >> Any computer Windows only Mac only There. is RAM, then there is graphics. >> Graphics. >> Uh Nvidia GPU and sticker on the. monitor. Every computer has GPU. >> Mhm. >> A GPU will work on that. Already trained it it's already trained. >> Okay, got it. >> So. GPT 3.5 4 4.5 on a problem I put. internet access with that. What do you think? >> Mhm. >> Right right right right.

>> How were they answering? Because all these models are trained. with a lot of information. All right, so it's able to answer. Many Atlanta models need manual input. facts go somewhere. Brainstorming goes on rewrites goes on. I don't know what to call it. I need. situation on the name Charlie. Any. question I don't want to take it's okay. But you should not use it.

for. You know things like Uh. how do I put it? Facts like. >> Um. >> Because that needs. recent C based information. >> Right right right. >> Which these models don't have. Many other old money. Internet on the problem I can add that. internet access. >> Okay. >> Then it will be able to there you go. Install what happened hello how are you?

Uh. there is this creator named Vamsi and I. want him to invite me on his podcast. So. write a super convincing email. >> Uh. >> to which can convince him. to get me on his podcast. He's a creator. in Telugu. Uh use the information if you. have any about him. >> Uh. >> Four is the new model basically.

Look at this. It's taking some assumptions right now. And I'll tell you the beauty of the. answer that we're getting. It's coming. from an AI model which is 12 billion. parameters. Open seven up, it'll be a trillion. I think it's close to a trillion. parameters. So this is. 200 times less powerful than an opus. But it's still able to do most of the. work that you want to do. It figured out.

that you're a Telugu person. And it came up with this email. You. learn to be it's fine. Let's say you. have a thought. All that this can do very well. But. don't give it fact-based information. Maybe. How does that work? How does that work and then it'll just.

create a temporary email server for you? By the way, LM Studio is also one more. similar app that you can use. Right? And for phone, Google AI Edge. Gallery. Again, I think same open. source. Open weights model. You want AI to run. without internet, anything, install it. on the phone. Now, Olama learning engine we can do it was a. 12 billion parameter model.

But on your phone 12 billion parameter. not out. It's too big. So it'll be like 1 billion. parameter. But still it's very good. Trust me when I say this. Okay. >> So what was it burner. email? >> But basically it doesn't mean that it is. this is Oakley AI. You can install the. same. Mhm. UI is like full chat GPT style. Right? And the other thing that locally. AI does, if I'm not wrong, is it can run. Apple this one tomorrow. I don't know. that.

Okay. Apple started to work on a model, Apple Foundation Model, I don't know. what that one did. Which is optimized. for better performance on Apple iPhones. Right? Anyway, so this is locally AI. Next, if you want. I don't know if you do you use a burner. email? >> Never heard of it. >> So then burner email is like that you. want to know. >> I don't know. So there is something. called a burner email. >> I don't know what it is. >> So this is burner emails. Burner emails. are like that. Let's say a platform where you give your. email. I don't know that.

You don't want to be bothered by spam. that is coming in. So instead of giving your personal email. burner phones are like that you want to. know. So then a burner email. So there are a. bunch of them. Temp email and each other. one night. This is the one that I use. which is called as burner emails. It's a Chrome extension. I don't know. that. It's burnermail.io. Okay. This is the.

one that I use. I don't know what that one did. I don't. know that. Chrome extension. I don't know that. Email box I don't. know that. Automatically I don't know. that. Every time you click I don't know. that. Email I don't know that. I don't. know what that one did. >> Okay. >> And because you're using it inside of a. browser, next time you go to that. website. you burner email I don't know that. >> Oh. >> Mhm. >> So you can log in with that without. actually sharing your email. >> Nice. >> Just in case if your email is still. private. >> [laughter]. >> Still private.

>> [gasps]. >> What about. after this explanation? What are those crazy things that you do. with AI in your laptop or in your system. that you won't advise anyone to do? >> Actually. >> [laughter]. >> Okay.

>> [laughter]. [laughter]. >> But yeah, I think. AI has access to everything of mine, literally everything, including my stock.

market data to my bank balances to. social media accounts. to everything. So. >> [snorts]. >> uh for some time on open claw. Or you can run it on cloud. Because they're too scared that. something will happen in the computer. because open claw is like a AI employee.

Oh, okay. Right. So for an AI employee to work. very well. So there it can do literally anything I. want it to do. And I can message it on my Slack. Now Jerry is built on open claw. So Jerry version 2.0 not so good. Okay.

It's built on open claw. So I'm not. Twitter what today. My Instagram what. today. My LinkedIn what today. My. LinkedIn the messages what today. Uh my Twitter what you feed scroll what. you see every 3 hours and I can. information what today. >> Mhm. Mhm.

>> So, I wish I could show you those, but. it actually has sensitive information. So, I can't show that. Uh. >> My God.

>> Can you look up if the revenue is. accurate? I mean, is it actually low. today, or am I feeling it? So, it will. look up all the last 3 months data, last. 6 months data. Because it has access to. my MI's of our revenues. >> Okay. >> So, what we have done is Open Glove, we. have given it access to all the sources.

So, your data is coming from there. Our. data is connected to something called as. Julius. >> Okay. >> Julius AI has access to the databases of. my computer of my company. >> Okay. >> only read it, cannot write. >> Okay. >> [laughter]. >> Only. Only read access is done now. Right. access I can encode. >> [laughter]. [clears throat].

>> Go already come. >> And then you just 24 hours it is done. >> [clears throat]. >> So. It's name is Jerry. Then maybe putting the Jerry.

Company information and everything. Julius. So it's like an employee for me. Right. Chief of staff or whatever. Like it's it's what it is. Can we just see that and then. There is nothing. It's a chatbot. I got.

you. It's on my Slack. So that is the. problem. Right with this. It's a It's a. chatbot. So then chatbot. And also sadly I wish I could show you. this but there's a lot of sensitive. information. I don't care what were the. technicalities are. We should build. something in this video. Yeah. I'm going. to ask something and then she's prepared. something.

Let's go. So. Ask one of the tasks that you want to. solve. We can build that. I think one. generic task. We always want to keep ourselves updated. with news color. So how can we ensure. that multiple because you guys also do a. lot of research. So multiple sources. information. how can we consolidate like all of that. information into one single place? And. every Saturday over 3 3 hours update. every.

so that I can go check. Yeah, so that I I can just go check. Important thing is that I'm not WhatsApp. low every 3 hours. Let's say AI news I'm. going to hashtag AI. Any news watching the hashtag business. down there any news watching the. internet to how can we do that? I think we can do this. Multiple. approaches on there. How much time does it take? Depends on what you want to do. >> [laughter].

[laughter]. >> Something something. because let's say if we automation like. with automatic WhatsApp or no slack or. no rally and then you guys said it's you. know agentic process it would take time. Something that a regular audience can. use. for everyday thing. Someone not very active.

Now here is how I'll break the problem. What is the problem statement? Google. calendar. and general Google. we go to you know GPT perplexity. What. happened? Correct. Let's say you go to chat GPT or. perplexity or any of the tools for that.

matter. Let's say in this example you. put on the Google. Every of these tools chat GPT perplexity. Claude has something called a schedule. task. Okay. And in fact if you have your phone, my. phone. install it on the cloud or chat GPT or a.

push notification will come to study. Babu, one job when I finish your work. We can do that first on cloud. Why don't. you show? >> Okay. >> You put name. I just want to enter the name. I will. ensure that. >> system. >> Okay.

>> Done. >> Okay. So, I will adjust that. >> I need to [clears throat] do WhatsApp. notification and I got to go. >> Done. Done. >> So, basically I got more than that. General guy.

In go to on the cover counter clock. It can execute things and very. importantly. Pretty file pretty one and chasing on. the chain. Go work in on the mana folder. mana local system mana access system. So, mana folder attached you see it on.

the chain. >> Okay. >> Okay. So, you put in just on the cover. Completely new folder just on the new. Okay. So, new name. Download scale. Is there any one I got a pretty folder. or go to project on my turn? Every. project name on the just don't know. >> Okay. >> Okay. So, you put new name in the new. folder create just on the new. I'll call it. >> Draw I update. >> Draw talks AI.

>> Create just create just see. Oh. >> Done. It will money into research here and. then we have to go and you know. >> Correct. >> Uh look up the. most. the look up the AI updates in the last 3. hours and make it relevant to a content.

creator who is working in the. infotainment who is trying to educate. people in AI so that this person can. look at all of this and it could help. him in his own work as well as help him. educate a lot of people. Uh. try to put a score to this AI update. based on this and. put it all in a neat order. I'm there. >> Score is like which is for more relevant. >> more relevant.

Always a good idea to give a scoring and. then. Okay. Okay and let's go. So I could have right hand side.

E right hand side corner low It will. tell and what that. Okay. >> And then you know. >> The more specific the better. The more. specific the better. The more specific the better, but we are. >> Okay. >> Search for the latest AI news from.

today. Research on major company. updates. Second, research viral AI tools. and trending topics. India specific AI. news. So basically. automatically. break down your system. >> Got it. >> That is what it is doing. >> Yeah. Yeah. >> Whatever is done, it's updating you like.

a good employee. >> Nice. >> clock. schedule and water. So then my schedule got pretty much. >> Okay.

>> Nice. >> Uh. LLM news today. and the robotics week. It is trying to figure out and then I'm. out there. And then you. parallel. And then you ate interesting out of.

that. You want that too. Yeah. I think that 15 plus maybe content. creator in the infotainment category. Every item in the content angle, how you. can use it in your own work. will be. surprised if the answer is great because. I don't. >> Usually. You have to refine keep giving it. feedback.

A feedback is to only keeps getting. better. >> Got it. >> Every time it will be a mediocre work. >> Got it.

>> Okay. >> Okay. >> Google. now let's anyone create AI videos for. free. The weather ultra What you just said 2. million token contest.

2 million could say that. 94.3%. Anthropicon. This is a perfect story. For. Infotainment as drama stakes and the. clear clear narrative. >> Let's schedule this now. >> Yeah. >> Schedule. >> Okay. >> So. Every 3 hours can say I enter The task. on the color it going to drop down up to.

>> Mhm. >> Oh, it going on there. >> It going on there. Okay. Schedule. >> Oh. >> this. to run for. >> every 3 hours. >> every. 3 hours.

>> So, other document will be updated. automatically. >> Mhm. >> And I think we have a person. >> What are the documents? >> Very very documents listed. >> Oh. >> And then we have a guy. >> And. >> And you like you can run a Feedly or. something. >> So, we put schedule and okay, so that a. button. It level one. And then it basic.

file to create a button. >> Only this one. >> Got it. Okay. >> Done. >> So, first level is something like this. >> Mhm. >> Second level [clears throat] is using. with N8N. And then automating. Whatever schedule we put. bring it on WhatsApp. >> Correct. >> Third is the more advanced thing what. you do.

>> Yeah, but. the see, the one that I do is slightly. different. I used to use a process like this. before. >> Okay. >> What I want is perspectives. But we have sources from Instagram, also. We have sources from LinkedIn, also. We have sources from other. platforms, also. And also sources from. Twitter. >> Correct. >> But my scraper, one of the most. important thing that I wanted is every 3.

hours that it going to run. automatically. I cannot even go. basically. Not Twitter feed and it is the best AI. updates feed for me because my Twitter. is active. On consuming AI content. No problem in my Twitter feed water and. it is not possible. There is no API. which can see my feed and next to the. game is to. the game is to the game. I don't know AI can only search based on. keywords. Twitter AI or AI updates or chat GPT 1.

and 1. Every 3 hours I feel like the game is. ending and it is going to be those are. perspectives. Those are real updates. Done automate and then done. >> And those are customized make natural. >> By default. Done. automate. I need to give my AI. The power of using my Twitter account. So every 3 hours Jerry. My ear.

Will open my Twitter. On my computer. Scroll. Pick up the updates and send that to me. on my slack. Either session in a pool suddenly a. browser browser open scroll [laughter]. down and then. general what is happening one more. screen in the side what is happening. what is happening and then I had to. explain them. So I. know. you know what I mean. So now that this is done. I can show you. my journey. Mine is connected to slack.

directly. And this is my executive assistant that. we spoke about please block this corner. Right then. I basically you can see. Top items worth. right now and non duplicate because I. don't want duplicate ones. So you have. the update. Not Twitter. why each one matters what are the. sources. I need to complete the every 3. hours. >> Okay. >> This is coming directly from my Twitter. feed.

>> Mhm. Mhm. Right. >> You cannot find it from the internet. Because internet is usually 1 to 2 days. late. >> Mhm. Correct. >> My job as a content creator is to talk. about it before a fool before anyone. else talk about it. >> Mhm. >> So, I have to pick information from. Twitter. I have to pick information from.

Reddit. >> Right. >> And I have to pick sources. where other people can't use. For. example, Reddit and then go. >> Mhm. >> So, I have to do something like this. >> Mhm. >> Or I have to use a web agent. Browser. agent to be able to do tasks. >> Mhm. >> So, this is a slightly more advanced. one. This is all done again using. Open club. >> Right.

Okay. >> And also if. we are able to tell them tools that go. on if we are able to tell them tools. that go on. to make that thing tools. if we are able to tell them better. >> So, >> Mhm.

>> I'll tell you what Comet browser is. Comet is like a browser like Google. Chrome. >> Mhm. Okay. >> Comet browser advantage and then to the. whole browser is an AI. >> Mhm. Okay. >> For you on your behalf. So, I do. with an AI layer on top of it.

Weirdly enough, 41 minutes ago has. tweeted while was sitting in front of. >> [laughter]. >> So. It will eat with. capture and you can do that. not a tweet in the middle. like this not a tweet. personally curated feed. It is. access to. different.

No, it is not going to happen. So my agent is the only way is my agent. has to open the browser and scroll. So agent scrolling. It got assistant open juicy. Scroll my. Twitter. and give me. top. tweets on my feed. on AI.

see. Okay, and I don't know what to do. Okay. I don't know what to. Okay. It blew my. It is not browser control just go. It is. Everyone It is going to. manage it. I don't know what. It is going to be. So now feel it is going to be It is. going to be going to be I don't know. what to do. Nice.

So basically it will. I don't have the time to open and say do. this. So the. I can't task problem in the my computer. I don't. So I don't know what to do. I don't know. what to do. I don't know what to do. I. don't know what to. A computer is always on 24/7. I don't. know what to do. crazy. >> Insane.

>> On that note, and then now that you you. know. get your keep yourself updated about a. lot of uh it. What are those five top. channels that you follow? Profiles, channels. >> What? >> something Twitter I mean all of these. updates. >> Mhm, interesting. First channel is Web. assistant. >> [laughter]. >> For YouTube, uh there are a few channels. that I like watching. One is Matthew. Berman. >> Mhm. >> Kunju technical and it's very good. Uh.

two is Andre Karpathy. Right, who is the ex-OpenAI member. >> Okay. >> Lex Fridman podcast. are one more that I'm always on top. Uh. Imagine uh. I forgot the name. What TV. TVPN TVPN podcast. which is a daily AI news channel. >> Mhm, acha. >> Right, it just got acquired by OpenAI. >> OpenAI. >> Right, TVPN media company. That is also. something uh. >> a lot of podcasts and everything with. Sam Altman.

>> Yeah. >> Mhm. Mhm. Uh the other thing is something. called as the Moonshot podcast. Uh that. is also a very good podcast. Uh. >> Mhm. >> Uh Three, four incredible people uh sit. and jam on AI. >> Okay. >> Right, uh yeah. These are the ones and of. course one of the Jason podcasts which. >> People. >> Easy guy Nature coach. >> Mhm.

>> Oh yeah, that is true. >> Okay. >> Because she said. >> The ones that you follow. >> I told [laughter] what I follow. >> And then we always have this kind of. what channels would they follow? What. kind of they. Someone that we follow while they follow. through on it. >> [laughter]. >> Now that news agent. who are, you know,

It's all a tedious process that they. have to go to multiple. >> [clears throat]. >> Then they have to apply. Can we automate. all of this process because. I heard that like. agents forms and they can do that. So, how can we do it? Okay. Software and.

is it an application or a application. but it's like. like manners and matter with a lot of. tools. Okay. It would. super app type concept and matter. In the learning mirror documents here to. in the learning mirror spreadsheets here. to in the learning mirror chat here to. in the learning mirror image here to. enter and matter. So, a super app low market AI sheets and.

we can make a bunch of them for job. search. Okay. So, I will show you this video. Okay. So, if you are sheets low now. It would. job search just in one word. A company A. parameters with the down component and I. just normal English kind of then and. explain chain. Okay. Go for it. >> Okay. Uh maybe you know, searching jobs.

for content writing. Specially for. media agencies and YouTube I mean. current YouTube channel media agencies. Yeah. >> Okay. Which. which which country? >> Uh country city. >> India. >> Remote preferred. >> Mhm. Remote preferred. >> Best.

>> Also include what is the expected CTC. Uh what are the skills especially that. this job requires so that at a glance I. can see what is it that I'm looking for. and. uh give me also. uh you know some kind of a percentage. score on what things information I have. given, how much it matches.

>> Done. Also can we also make like uh. kunjum old companies? Not like cha mari. anta startups gadu. Funded startups. maybe. Not bootstrap startups. >> Uh try to find jobs only in funded. startups and not bootstrapped ones. >> Or large companies. >> Yeah. >> [laughter]. >> If I am going to it is now trying to.

find the content writing jobs in media. agencies and YouTube channel India with. remote preference focusing on funded. startups and large companies. >> Right. >> Search for content writing jobs in. media. >> Mhm. >> Okay. I just want to know about. >> What sources are there in the search. key? >> Internet. >> Job postings on it.

>> I can show you the cut short.io on a job. LinkedIn local YouTube Glassdoor YouTube. channel. search low. content writer jobs funded startups. so Ed Mama sheets kind of different in. the Mama sheets or data mirror better. intelligent AI sheets. make a cow data with a coupon in the. popular just going to. >> Okay.

>> Okay. >> So it is a lot of Japan to me Google. Sheets and Excel sheets on steroids on a. tube. >> Okay. >> It ain't going to AI tool bug a muscle. gym Jersey now lunar data to learn a. data name is going to die. I don't know. too. It could also go and it can still look. for forms and fill the form on your. behalf and attach your resume and apply. And then particular I don't think it can. apply yourself to do. So then call us to enter.

>> Okay. >> So my mom jobs and he would you say. >> [clears throat]. >> pocket Aces. TVF. and tunnel and you see job title content. creator content Ops executive content. writer intern. Okay, company type funded startup funded. large company my funded large company. agency funded. >> Oh, funding status would you say.

>> location Mumbai Bangalore Hyderabad and. you would you say. mother would you say. the remote hybrid hybrid hybrid on site. remote remote remote hybrid on site and. you would you say. Okay, and you would you say. >> doing a summary. >> summary Jersey. then key skills required what is skills. cover the industry sector and he the. weather source second in the ocean in. case you want to trace it back. hallucinate Jersey actual source and. then I get.

You can take the company name and the. source and double-check on that. >> Nice. Nice. >> Okay. Another easy of double-checking is. >> Nice. >> Okay, got summary. CTC breakdown. So, this is how it is.

So, you get up there for So, basic. Which is a simpler version. >> Simplest version. >> Simplest version. But, even though it's a simplest version. May know. job description. startup.

frustration got going there. >> If you do. download. >> Okay. >> These features empty. auto pipeline and then I know and then. okay, you are all based just a full. evaluation. interview story bank It'll take. different stories five to ten master.

stories that can answer any behavioral. question. So, it is. pipeline integrity. So, like I got just for example batch. processing. and then parallel agents. And then I know one the job location. >> Okay. Mhm. So, negotiation scripts, salary and the.

negotiation salary. I'm training Yeah, I'm a modern training. is coming. You got a very good important. geographic discount push back. And that too customized for every. company with your role, how it should. do. Nice.

You. You need to know what cloud code is. You. have to learn cloud code basic. The reason why I'm recommending not to. show is one. Cloud code to the general who are not. engineers. Okay. And then that doesn't mean that. you have to be a software engineer. Copy paste in the quick start guide. Okay.

Best. Figure it out. The back story of this is. the the guy who built this. basically I know jobs apply a stone to. >> [clears throat]. >> jobs apply a stone to so manually I can. take on the cloud code and she he built.

the software. So that AI can apply jobs for him. Then when I know 700 jobs apply a stone. to then to he got the head of applied AI. job also because of this. Then. I want to do this now so that more. people can use it. Nice. Try to brainstorm on problem statements.

So [snorts] the surprise element is that. we're going to open. from our previous podcasts. >> Interesting. >> So that will. We'll try to pick few problem problem. statements from students going to try to. learn from them. We're going to leverage this one more. channel and go on our sensor. We've. identified and we're going to monitor. this. Different industries and different. problem statements of founders don't.

know the doctor doctor at the main. hospital run by the doctor at the one. problem statement indeed. We're going to. be two B2B business just in the one. problem statement indeed. D2C just in. the one problem statement in the one. problem statement which can be automated. through AI. So that might be a question or too much. complex one of the situation we don't. know that. They're they're waiting already. Movie. industry is going to go on and on and on. and on. Let's try to take the calls. I'll not. give the list also. I'll give you a. heads-up, okay? >> Yeah, please. >> Right now.

if you I'll be very open and frank. One. more problem statement we're going to. open up and that too from different. industries. We are jumping a stage where. we cannot talk like the way we were so. far. Then right now my assumption is me and. Dilip will talk the operator language or. the AI orchestrator language, the AI. generalist language. Yeah, so before we.

get into this, quick question. Uh questions which are not good we will. answer or discuss just now I think we'll. have to discuss because there's no right. answer to a question. >> Of course, yeah. >> We have to brainstorm to understand what. could be the solution. And that will open up a different side. of us. And then they don't.

When I start just with some workflows. with tools and stuff like that, I think. the other way around. then when I put my language. is much. >> higher. >> Because we are jumping from being. dabblers directly to an orchestrator. >> Right. >> If you step on the other follow just. again, you cannot get to the position. where you can talk like this. >> Absolutely. >> Right? So, I don't get upset. So, don't. get carried away. And if you guys have. questions, feel free to ask as well. >> Sure.

>> We'll be lemons or maybe students like. that. And then we don't know what you're. going to do. Directly ask you this. >> Done. And I don't think we'll be able to. build everything. But we can give. direction. Not necessarily a building something. >> Brainstorming on how can we solve the. problem? >> that. >> So, even I'll I'll understand the viewer. who's watching. They'll also understand. even the uh. You want to talk to them about what what. would be the process ideal process?

Shall we start? So, first case already ready? >> Okay. >> So, And I'm not going to stop. So, he's the. founder of marketing agency digital. marketing agency. 100 plus team 120 plus. So, uh technology aspect keep talking to. him. So, I thought he'll be the right. person also. to start this kind of conversations. >> Sure.

>> Hi. Hello. What's up? So, he's here. Probably he's here. Uh we will be here. So, we are starting. this conversation. Maybe we start with. what what do you do uh with your team? I. mean with AI in your team? How do you. utilize or. what do you adapt to the AI tools that. it will work just not that much much. louder or problem statement is there? I don't know that this kind of a new. meeting will go to will will continue. >> Yeah, so we can know. been through been through been through.

as an entrepreneur lot of years daily. you know newspaper. news low one the positive picture that. Instagram open. >> [laughter]. >> and. office goes. and the local way 10 problems will stay. as you know employees though yeah and. the China one man management is the. uh ex-problem those are in cotton. relationship problem yet that in cotton.

motivation is under so in the low equal. to wait I put the money evening in the. Intel is okay. uh in the low and don't worry it's not. the money company that is there. >> [laughter]. >> so. the AI and the subject that I think that. they can eat my ticket out of the eats. drinks sleep ticket and don't worry. they are going to learn AI from me and. when it comes to the employees. one thing that we are seeing is and then. what I also want to tell everyone that. the experts when I wrote to be able to. simplify discussions.

>> right. >> many people. >> I don't know what kind of way it is. right and then one of the other uh my. friend that I can get a lot of good idea. on this and the other third person that. I can get a lot of good idea and then I. can get a lot of good idea and we can go. to the new one. and then I don't know what kind of way. it is and we can go to the new one and. we can get a lot of good idea and we can. and then I don't know what kind. and then I don't know what kind of way. it is and we can go to the new one and. we can get a lot of good idea AND WE CAN. >> [laughter]. >> SO FIRST SIMPLIFYING THE LANGUAGE. and then the I think we will really help.

in the entire. ecosystem or to simplify all this maybe. I just say start just first each other. GPT Gemini Gemini or. you know very very perplexity. >> Cloud. >> So cloud. division eventually ended with digital. marketing can I automate it through AI. by 70% at least. >> Okay. >> But building that vision of.

ours where more than 70% AI. my company is going to be is where. you know our brains are working right. now. >> Yeah. Before the call is ending. I don't know. good. Good to go. Perfect enough. Yeah. You can start the discussion. >> [laughter]. >> Okay. Okay. Okay. Right. Thank you. See you.

Okay. So based on my understanding the. question. I think they are how can we automate. Running ads as much as possible. >> Yeah. >> Okay. So I think we're already in a. position where you can automate 90%. You know the technology is already. there. Right and. I think a lot of money is going to end. up in AI AI money auction actually. Add automation and channel money only. where you can buy and sell. But AI could. have been the right thing which is even.

the creative part can be automated. >> Oh. >> So we'll talk about I can't show you. stuff. I can tell you how to go about it and I. can tell you the tools. If you want to. explore you can explore. it will become very marketing centric. >> Yeah. >> Let's say meta ads on the go. Meta ads or Facebook or Instagram ads. that are two aspects to. marketing on ads. One is a creative cover money. Add creative cover money. In code empty. Ads and just not put it back on the.

>> Ads run just. Good luck. Mhm. Mhm. That is all ad operations. Yes, ad sets, ad campaigns. What are the problems that ad people. solve actually? Choose that you want data. Mhm.

Mhm. Which is CTR. Mhm. We are wasting money on that. If people. are not marketers here, they will not. understand. I'm trying to simplify as. much as possible. But if you're not a. marketer, just forward this. Mhm. Uh. But that is what. you do. So, both the things can be automated. Mhm. Okay. The first thing, one of the.

tools, two tools that people can use for. automating ad management. Mhm. Okay, social. Facebook ads manager. Mhm. Which is called as optimization. Any. post jolly. Any equal spend jolly. Which. is look at this. Scale acquisition. budgets on high performance asset. This. is what we say, right? Okay, ad manager. Mhm.

AI automatically detects it and. increases it. Mhm. automatic. It will it can reduce also. So, there. are bunch of workflows it can do. Look. at this. It's called optimization. Any. ad optimization. Mhm. Every ad. Mhm. Mhm. Basically, whatever a performance marketer does, it. automates all of that for you. >> Nice. >> Right? It's actually quite quite. powerful, by the way. This tool does one.

more thing. And the other thing that it. does. One more thing a performance marketer. does is. he doesn't only she doesn't only check. their own ads, but they also check their. competitors' ads. Facebook Ads Manager. If you go to ad library. >> Ad library local. >> Are they AI going to use that? So, the. competitor. If a ad is running for more than X.

number of days, it does someone run an. ad which is working which is not. working. >> No, no, no. >> But the duration of the ad is visible on. the ad library. >> Correct. Correct. >> Correlation. Not always causation. >> Yeah, yeah. >> I said no no. ad run just no lazy on that angle. >> [laughter]. >> Right? So, it can pull ads from there. also. Right now, it can pretty much. Quite frankly, there was a point of.

time. This is pre-AI. Pre-AI. There was a point of time we. used to have if you ask delete we had 15. performance marketers. Now, the business is almost 20 times or. 30 times larger. We have five. Because of ad automation. Ad rules. Are there no creatives. earphones I'm with you. There's your physical product. You want. to create ads for this physical product. With different people, with different.

backgrounds, people giving reviews of. this product. I use this ear earphones. They're very very good. They're amazing. They're awesome. Blah blah blah. All of. that. Any ads created just now? Hello, just now. Let's say any customer. I could do review that Amazon only. Positive review at Amazon. But it's a. review on Amazon. That will not work as. an ad. I can take that same review that is. written by a customer. Let's say it's. his name is Dileep. And I can convert that into an ad. Not.

with Dileep's face, but with a guy's. face. Magics. Magics. So, is that the same. tool that you use right now? Cool. Yeah. It's the same tool that we use. I'll. tell you why a lot of people don't use. this. Because they charge percentage of your. ad spends. They charge 2-3% of their ad spends. A human cannot do what an AI can do. I have realized this 2 years back. How much are your ad budgets.

approximately? It's in crores per month. >> [clears throat]. >> Money to generate a cloud where we can. also connect our you know ad manager. That is what a human marketer does. The. action is still taken by human. When. Niranjan said Niranjan said I want to. automate it. So you trust an AI to do its job. So. automate it. Good thing about what. Niranjan said is it didn't say.

He said 70. The 10% income is still someone has to. look at it. Someone needs to have a. human instinct. AI can only understand. basis of what it is seeing. There are. more things that we see. That is where you need that human even. now. A performance marketer or a marketer if. they want to win in this AI first world. They don't need to know how to change. the things. They need to know how to ask. the right questions.

Inside and matter. In fact in a good tweet just on the. margin. That tweet was about. how. marketers are the new software. engineers. Last generation only software engineers. were the ones. who are in highest demand, which is. still true by the way. It is still true. That is not going. away, but if someone can overthrow the. demand for a good software engineer, that is going to be people who are good. marketers or sales people. And the.

content when we are living in a world. where anybody can build great products, the most difficult thing in a sales goes. to my channel today. The most difficult. thing is to put the product in the right. people's hands. That can be done by a. good marketer and a good sales person. Someone who understands distribution. So, I think it's a. platinum era. >> for marketers. >> Not even gold. Platinum era for good. marketing, sales, and good business. folks.

>> So, now it is Prasad sir. Kalamandir. [snorts] And then basically. Sai Silks is the main company, which is. listed also. And. So, after that we got to know he's very. much into technology.

So, a podcast over teaser over there. I. will show you the teaser. We are not a sari business. We are a. technology company selling saris. That's what he believes in. So, over to. you now. AI going to be. the problem statements discuss this is. the solutions with my voice there with. us. >> Yeah. First thing hello Vaibhav. I have to appreciate you. >> [snorts].

>> Thank you so so much. And then what I do. >> Thank you so so. your knowledge. base and then. >> Oh, amazing. Amazing. >> You're doing a great and you're doing so. great. Keep doing great things. And. I mean again. >> [laughter]. >> Thank you, >> I'm trying to guide you for the young. entrepreneurs, founders. Like you know,

this is what they all need. I think they. know. Basically they know uh uh. a little bit into technology only. Not equal actual. Uh need of the hour in the day. you know for my business uh on a. day-to-day basis uh WhatsApp and Slack. uh the water. SMS and emails. So, these these are the four or five. different mediums of communication with. the entire team across the length and. breadth we have like thousands of people.

between. our employees and as well as our. viewers. You know, everybody is more. into technology. Everybody knows everything kind of. everything. So, I always see I will be missing out on. something. >> Correct. >> Which would be so. Many things are critical and so many. other things are okay to take. So, In case of any information you can call.

Uh then you can respond or call or send. me a message. But that is again that is not 100%. professional. So, I want to be empowered. day morning you know will get a summary. like. these are the things. These are the things that you need to. one, two, three, four priority and then. that will not get uh uh uh I think you. want to use it uh uh uh everybody is. so many things. >> Yes. >> And will not knock market for anyone.

It's only when it. comes to we have to be prepared when it. knocks the door. >> Correct. >> Absolutely, sir. So, got the question. My life is a mess because of so many. >> Yeah. >> channels of communication. Okay. So, let's start with the first. one, which is let's say meetings. Online. meetings. Online meetings for some he.

could use a simple tool called as. Granola. >> Granola. >> Granola. Or Fireflies AI. >> Yeah. Is it similar to read.ai? >> Yes, it's similar to read.ai or Otter. AI. for people who do a lot of WhatsApp. calls. >> Mhm. Oh. >> So, if. Granola can take meeting notes of that. also. >> Oh, crazy.

>> Okay, that is one. Second, for physical. meetings. Plod, the physical device. Quick shout-out. A good guys, good kids. trying to build something called as Neo. Sapien. >> Oh, yeah, winner. >> 100%. Neo Sapien. Okay. It is Neo Sapien.xyz. It's a physical. hardware in a necklace on today.

>> Huh. >> Okay. >> Correct. >> Very very brand. >> But I've tested this, it's pretty good. >> Oh, nice. >> as well, which is called Neo Sapien. >> I wanted one anyways, yeah. >> Yeah, Neo Sapien is a physical device. And then I got a light bulb to show you. that so people know you're getting it. recorded, which is important. >> Mhm. >> Which is very important. More meeting. recordings and then what happened end of. the day, it'll give you a summary of. everything. And new questions could have. watched you last.

That is Neo Sapien for physical. meetings. Right? Next you're using Gmail, Slack, and stuff. Now, the big question. How will I bring all. this information to a single platform? So, Granola. Granola key, it has. something called as MCP. >> Okay. >> Model context protocol. Right? No, using MCP and using let's say N8N, N8N N8N tool body, you can fetch all the.

information from every single meeting of. Granola that's happening every single. day. >> Oh. >> Well, API body, you can pull all the information into a. single platform using something like N8N. again. Next is This is going to technical. This is called Google Workspace CLI. Right? It's a GitHub repo. A Workspace CLI key okay N8N agent to. connect just say me Gmail, me calendar,

anything of Google services, it can pull. information from. >> Nice. >> This is Workspace CLI. Then munchy very. very easily, it's very simple actually. It's very technical and it's something. but it's quite simple. Information pulled out of the Gmail. munchy me calendar munchy anything. Google services. Anywhere you. Anywhere you want. So, we got it. We got. Gmail covered. We got we got calendar calendar I mean. all your meetings covered physical or.

online. Next is Slack. Slack local Slack bots in it. Which summarizes everything that. happened on Slack. Now coming to Gmail. For Gmail also, basically you want that information to. come out and then you can use Claude. Claude has something called as MCP. So, you can add just say you can go to. connectors directly and add connectors. You can have an example Gmail account. You just search for Gmail, it's there. You just add this and connect your. Gmail. In the same way make Slack the.

summary cover. Connectors scale down again, add. connectors. You go to Slack. And you can add it. In the same way, I can also connect. Granular. Oh. >> Oh, nice. Oh, nice. >> There you go. Granular could have been. >> Right. >> I don't need to use API in the API. >> Okay.

>> How do how to convert an API into an MCP. server? Once that is done, you can. connect it here also. All you can do is you can come. here and just say, "Check my Gmail. Check my Slack. Check my meeting. assistance and tell me what happened in. the last 24 hours.". It will give you a summary. Now, I think that what about because we have.

connectors, which is the Slack. connector. Every day once this runs, use the Slack. connector to post this message into my. DM. So, Slack love message could have posted. this to the directly cloud. Now, the only thing that is not. automatable. >> WhatsApp. >> is WhatsApp. >> Okay. >> And the reason is very simple because. WhatsApp's are end-to-end encrypted. So, they cannot break that encryption. As a result, Meta doesn't allow. In. fact, Meta AI.

You know, very powerful AI model dropped. just now. Right? Even that Meta AI of Meta. cannot read your messages. It doesn't. have access. Now, does that mean it will not happen? I. have a way to make that happen also. >> Okay. >> Okay? It's risky. But, what I would do is I will go to. connectors. And I will search for. Chrome.

>> [clears throat]. >> 24 hours open on the laptop. >> 24 hours there you go. That's it. She's. thinking like a. orchestrator. So I have my WhatsApp. open. Right? >> And then it just keeps scrolling and. then reading. >> Every 24 Every 24 hours I will Now that. has access to my Chrome. From Telegram. in this. Gmail you want to connect this and you. pull tight. But for WhatsApp. open my Chrome,

scroll through all the 24 hour messages. and give me a summary of that. Once it has access to the browser. it will be able to do anything you want. >> And then we mouse in a. >> So what is the risk element here? The risk is you're giving your WhatsApp.

The last 24 hours I know. It is not. smart. So it will end up opening a message that. you don't want to open. Okay? So I can just say. use my. browser via Chrome MCP. and check the WhatsApp. messages. in the last 60.

minutes. >> [clears throat]. >> and give me a summary. Uh don't reply to any message. >> [laughter]. >> I'm sorry. Okay? >> Yeah. Let's see. >> Let's see. I've not tried it either. By the way, just saying, I have done. something like this using my open claw, using my Jerry. It didn't listen to what I said. >> Mhm. It didn't listen.

>> I mean, it didn't listen and then. I. I wanted my Jerry to work from WhatsApp. via sockets. >> Mhm. >> It is supposed to respond only to me. >> Mhm. >> Set up just now and it was replying to. me. It was all working. Okay. >> [snorts]. [laughter]. >> 100 message later and about an hour and. a half after I checked it out. Usually I. wake up with 50, 60 um people messaging. me in the morning.

You know what I mean? Do you want to Are you available on. Wednesday for a talk? And then Jerry. detected it and said, "Yes, I'm. available. I can. >> [laughter]. >> This, that." I'm going to reply WhatsApp. group messages. Everyone who was. messaging, "Good morning." I'm replying, "Good morning. >> [laughter]. >> Have a great day.". Some brands had reached out. "Hey, like.

what is the thing?" And then it made up. a budget. "You have to pay $25,000 for. this. Let me know if you're interested.". I'm going to reply to everyone. >> [laughter]. >> Wow. Nice. >> And it's not Jerry's mistake. Then I. started to read about it. The reason why it's happening is Jerry. is not able to understand name message. just now Vamsi message just now. It was. only supposed to reply to me.

If you still want to use that risky. technology today, you can still I can still give Jerry. access to the WhatsApp. Now, the idea. that I got as if we are talking about. this is. Jerry Aquila under messages reply just. in the entire that means it can read. messages which is open clock. Open clock and read messages. So, what. if I connect my WhatsApp to an open. clock instance. and strongly recommend it not to reply. to any messages. Any reply to your. daughter to say that.

and your only job is to read the. messages. So, I want to messages to address in the. car script run together. Every time a. message is coming, read it and store it. Read it and store it. >> And also tag it. >> You can do whatever you want. Yes, yes. Read it, store it, tag it, whatever you want and every 3 hours send. me a summary. So, it can do it. But, don't come and tell me if it ends up. replying or something. Because the technology is too early so I.

don't want to even say this and jump in. So, that people know it is possible. >> Got it. >> It opened my WhatsApp right now. >> Yeah. >> I said last 60 minutes. Let us see what it is doing. I can't see. anything though. It's trying to figure out. The first. thing that it's doing is it's trying to. figure out what is in the messages. All right, how to navigate it. Once it. figures out how to navigate it second.

time it becomes fast. High level summary. it's into the server. >> Nice. >> Key take away. looks like family event or puja is. happening with photos and congratulatory. messages. >> Crazy. >> So, you can do it if you want to. >> Nice. >> The question is do you want to? Do you want to take that risk? >> No.

>> Okay. >> This is okay. It's so much. >> yeah, he's right. No, if you want to use connectors to the. full extent, you need max plan. >> Max plan. >> $220. >> Mhm. >> Right, but uh. logic, I mean, overall, what I tried to. do today or what I tried to show you is. everything that he's saying is possible. using connectors. Simplest way to do it.

Except for WhatsApp. WhatsApp could get. a little technical, but except for. WhatsApp, everything is possible. I hope. Mr. Prasad finds this answer helpful. >> Hopefully, yeah. >> Yes. >> Dr. Naik. >> Hello, aunty. How are you? >> I'm great. How are you? >> Absolutely, absolutely fine. How is your. leg? >> All good. But yeah, doctor, as we discussed, over to you. We want your uh. Milo, uh you wanted us to actually. discuss about and maybe.

Vibhu is here. So, yeah, over to you. >> Firstly, hi, aunty. My name is Dr. Virinchi. I'm a psychiatrist. And. psychiatrist. one issue that we usually find is in the. local consultation after that a 2 3 days. after that, my patients calls just that. uh tell her agent and doctor.

So, urgent emergency and while I am not. well, I am ill. Usually one day issues and I want to get. it done. Genuinely, what is an. emergency? No, I want to uh. suddenly they have a heart attack and I. want to know. later I don't have self-harm thoughts. and I want to know and they say is one. urgency which they talk about. I want to get that out of my head and I. want to know and they work again while I. am issue urgent and I want to get it. done. >> Correct. >> So, I want to get that out of my head. and I.

>> [laughter]. >> My God. >> We might miss out on something very. important. Uh. and. >> Mhm. >> So, I reckon that you just wanted to is.

there a possibility. they can't say everything to the call. center. So, is there the way we can use AI where. probably they can. uh type in their complaints. and AI can prioritize. If the doctor you. want me to do that, okay, this is not. that important. I need to check up on. the gate to do. My second question is.

we spoke about digital addiction, screen. addiction, social media addiction. And. he social media addiction really put on. the down with the depressions, anxiety. It went up with the. is there a possibility. the social media behaviors but they. general patterns rather themes of. thinking me identify Jesse label one do. uh it wanted mana seeker via the local.

what is the risk? I never made another. disco these are my two uh issue points. that we are facing in today's world. >> All right, doctor. Right. So, thanks for doing what you're. doing. I got uh your problems and I. think. I can think of a couple of things that. can be done uh which can solve your. problem. Uh we're going to explore for. and you'll probably see that in the. video when it goes out. Thank you, doctor. Thank you very much. >> Mano patient behavior in general just.

say I would. I know patients get listed psychiatric. patients get the doctor's voice is the. most soothing and the most comforting. So, if you want to make a voice cloning. technology that's in there. When you. have voice and I want to clone this. thing. I think clone this is a one of the voice. agent build this thing. If you want to make a voice agent and. then if you want to make a suicidal. thoughts of the amount of the in general. If you want to make a voice agent and. the capability of the agent When the. condition set this thing in the. condition can be I think and it off to a.

human. I think we call transfer into the call. didn't blow. I like a voice AI agent. will call the human. So, I think call us there and the one call. is a emergency serious where the patient. is self-harm and go to the doctor and. then I call I can detect just the one. thing doctor I call it them. So, doctor could you call somebody. emergency call them? I mean that I need. tablet is good to have and I thought I. don't want to know if you know. tablet is good to have you only.

When I got to filter it out. Okay, maybe. me thought and what do you think? >> It's a good starting approach, but I. feel. to solve a problem like this. it's not just about. getting a reply. Usually then if you build chatbot. difference in the from a chat GPT. For. 90% of those people who are not serious. When non-serious people first call. non-serious or what to second call.

non-serious or what to the fifth call of. that non-serious person could be a. serious call. And if it's getting generic advice every. single time. then the person. While AI agent the voice agent ability. is a very smart thing. I have two things. to this. Voice agent and one of Wapi or. retail though without code build just a. lot simple. You can build a full flow and you're. putting it there. I could if it detects something is off. and automatically it will set off to a.

human which in this case could be a. doctor. That solves the problem. Uh but. one problem solve aim over than the. personalization. So why do I call. a psychiatrist when I already have AI? Right. I don't want to or why do I go to. a psychiatrist or psychiatrist when I. already have Google is because I believe. that person knows enough about me. Right? So what you answers or.

if it is not personalized to you. then it is not very effective is my. belief. Second. me cool. for customer for for patient A. Monday is good child is good or or. should I drink or not drink? The answer could be different and. dangerously different based on who you. are. What if yes? What if you are an addict? What if it's okay? I don't know if it's.

okay, but what if Monday is good. you can have a drink. So you get a generic answer. Yes, you. can drink. Don't worry. But what if you. were an addict? The answer is no for you. Then you have a generic bot. Yes, I. in this case in case if it's okay to. drink after medicine which I don't know. because I'm not a doctor, but I'm just. giving an example. In this case context. history of the patient is important. So my approach would be while voice. agent is a great way to do or we can do. a WhatsApp voice agent also or a.

WhatsApp agent also. Voice cloning could. I say it to using smallest AI or 11 labs. or. >> Which is almost like the doctor himself. >> It is sound like the doctor. I have. problems with that also. >> Okay. >> Okay, well doctor AI voice from my. doctor, the patient will he What will be. the perception of the patient when he. talks to the real doctor? I don't know. what it is. So, if I am the person, I. would make the AI voice separate and I. would make the doctor's voice separate. Right, but again, we don't know what. will work, what will not. So, we have to. test it.

If I have to solve this problem, I would solve this problem from ground. up. I will build an app. An app where which will maintain all the. records of the patient in a single. place. Doctors and client. conversations and notes are taken by the. psychiatrist. Sometimes they record also. for their own note-taking. Can I build an app which is completely. secure? It's uh uh like patient and.

doctor. rules following, so the data is not. shared with anyone where. and it's a medicines and if I'm a. doctor, the kind of prescriptions I've. given, the kind of things that you're. supposed to follow, everything. is documented and created and it's. created into an app called using rag. Rag is basically an AI with a lot of. documents access to it. So, answer it to.

me when the AI it will look up all the. information of you. Understand who you. are, understand the latest conversation, then will give you the answer. So, for every patient I will build an. app. I will build an app which will create a. space for every patient. And I will attach a phone number, so. voice agent key call or stay a phone. number on it knows that it's from. patient web hub. Because it knows that. it's from patient web hub, it understands all my problem and it.

will give me contextual solutions rather. than generic solutions. So, this would be my approach. Uh and in fact a US company medical. startup in the. which does. summarization of conversation and. prescription which is a billion-dollar. company right now. It is made for doctors. Prescriptions. are after that. And they might not doctors good enough. because of so many patients. So, this. app does the bookkeeping of that.

It's a massive business. So, what I understand from this is if Dr. Rinch is talking about this, there's. probably an opportunity. Why does Dr. Rinch have to build this? One of the viewers who are listening to. this. could build this for thousands or. hundreds of thousands of psychiatrists. that are out there. Which is secure. They have to do it. built it with the focus of security, with the focus of privacy. And the best part is when we put on my.

calendar when you need then you coding. awesome with. You can start without code. Where you can write code the products on. Replit or whatever and get started. Okay, maybe we will change it. Get started. Go talk to two three. doctors. Understand. Maybe you're sitting on a. multi-million dollar business. That's it. So, yeah. And I. >> Hi Vamsi. Hi. How are you? >> I'm great. So, now this is Mr. Ajitesh.

Korupolu. I just want to let talk to. we can talk with Nice. So, anyways, so. hello, over to you. As we discussed. problem statements. >> So, hi Vamsi. Hi Vaibhav. See, basically construction industry. the biggest problem what. you know, we want AI and these sort of. things to solve is that we whenever we. start our sales, we commit an end date. to our customer, right? Like let's say. you bought a flat today, I'll say after. 4 years I'm going to give it give the. handover the flat. Now, in this 4 years.

we do, you know, like various amount of. activities and you can say man hours of. labor, right? Almost typically average. of our communities are like 1,000. apartments and each of this community. has like. 8 to 9 million man hours. So, these 8 to. 9 million man hours will be arranged in. a particular sequence. That is what will. give you end date. Right? So, our. problem is in this 4 years uh you know, at some point there's a war like how. it's happening now. At some point the. weather is not good. At some point. election is there. Because of all these.

discrepancies our end date keeps. changing. And for the customer we can. only commit one end date. We cannot keep. changing various end dates, right? Can. AI's help us in accurately predicting. the end date? >> [laughter].

[gasps]. >> There's a very interesting problem. statement. I think it goes into. predictive analytics quantum. Uh can we. do it? I think it's very much possible. We will explore some ways to do it do an. MVP uh on how we can test out something. with your own data that you have. Uh. because you will have understanding of. in the crypto start in project April. when we will commit to some. Okay, delay. of the end of the end date. What were. those chances? Once we have that data, I. think it's we can build a simple model. which can uh you know, give you an.

estimate that hey uh this is the safest. date that you should give based on all. the parameters type. It's more of. predictive analytics is what I imagine. Uh but I think today models are powerful. enough that you don't need a ML team to. be able to build this. Right? So, >> Yeah, hopefully. >> we will we will we will explore ways on. how to do this in some form of fashion. today. But this is very cool, yeah. >> Yeah, because like attached to this we. can do various automations in. like purchases. and you know what do you say.

material dispatch to site like if you. generally when we order material the. person who's ordered material who's. ordering material at the site right. store manager and all he will simply. order material based on. last month and I want to. but imagine next two months elections. and a labor for the entire material. store just in case maybe. so all of those things automate just in. case. essentially you know like a site. engineer is working on. execution like managing laborers.

supervision all of the and material. availability on the other hand. ideally the site engineer should only be. thinking on. how like what is the quality of my work. and are the labor available or not. rather. so we have also been doing some. experiments around this and building. some genetic algorithm models Amazon. used some of these things in their. delivery whatever when they look at the.

delivery. >> so we've been exploring but not many. conclusive results as of now but. hopefully we'll go there in some day. >> I think I think it's. the the the question that I have for. this is do we have data because India. real estate doesn't operate on. blockchain so there is no clear data. traces there but I think these data will. be in pockets with companies like yours. right as this. >> specific. I would say market level data level but. each company measures a particular way. whoever have been measuring like we've.

been measuring over the last five years. now. we have like almost 10 million square. feet of data only like at which point. what did we do and all. but yeah still we'll have to you know. trying to make meaning out of it. >> thank you thanks a lot. >> thank you. >> so then after we. will discuss about it. >> thank you. >> thank you. >> see you. >> this [clears throat] is a big uh. I think. you have to model this out a. See. In their five last five years journey.

30 different. Not a lot actually. There are pockets of regions. There will be external conditions there. will be internal conditions.

External conditions and I am giving that. to you will have elections. That's an. external condition. You will have IPL. That's an external condition. These are. all external conditions which are. relevant for whole of Hyderabad. That is a easier bucket to play. Then. there are internal conditions. That is that almost becomes like. controllable. Then there are external. conditions that we usually don't bake. in. For example. rain. Right? There is no data point that is. flowing in but that data is available on.

API for the next 30 days, 60 days, 90. days also. Will it rain? Will it not. rain? Right? On top of that only also a lot of. external conditions are. more like You know I love you probably. I don't know and then let's say in. Hyderabad this this period gets very. very hot. As a result efficiency of workers go. down. Right? Those are clear patterns based on. city. So if you have external data And then. project let's say you have done 100.

projects. What were the delays? Why did they why. did those delays happen? If that part is. documented. I think it's enough. to build something better than a guess. >> Yeah. >> So that's the first step, right? You model you can then go 3 and 1/2. years but then you will say 4 years. So, your safety netting increases. You're not guessing. >> Yeah, yeah. >> Right?

It can tell you the reason. why it said 3 and 1/2 years and not 3. years. Because it will say, "Look, last three times, last four times, so. these are the big reasons. Now, in the. future, what I'm imagining is this patch. of month is going to be very, very hot. Efficiency depot that is. Then there are. going to be rains. And then there is. this Bay of Bengal effect that's going. to happen. Which we are which is already. out there. The, you know, the climate. department has already has spoken about.

it. And you have elections coming up. And then whatever other factors because. it can do a deep research to understand. what is the impact of this region and. tie all that data together to tell you. these are all possible things that can. happen. All right. Because past learning, these are the 10 bigger reasons. So, they do something called as weight score.

that you can talk more about. Weight. score they want that it what. thing leads to what amount of impact. I need weight score and share it with. them. All right. So, actually I'm going to only. I want to go. external, internal conditions. So, I put water. but. material. material.

material. You want to change that easy. data. I need data. WhatsApp. I'm going to easy. So, I love the conditions alerts. Climate conditions. camera can easily tell. Using OCR you can do that. Okay.

If there's a person outside. person outside. There's a dog outside. Somebody left a thing. How? So, I don't. know what you're saying but then it. takes a picture. Simple. Very simple. Imagine the same thing is happening. It's the same thing that's happening. It uses OCR to send it send through one.

of the AI models. It tells you what it. is. computer vision model OCR and the. that. And I hi. Hi. So, this is Shashank. Oh, but thank you. Thanks a lot. time. Over to you.

year on year production of a day. Monday to Monday transaction Tuesday to. Tuesday transaction. But Now that Niloufer has become a. must visit place in Hyderabad. If. AI can help us.

in planning production. Too many functions on the flights and. the. Too many events on the show. Or. Maybe in way of any way any which way of. >> I'm sorry to cut you. Yeah, so. >> So you put now that I got a letter. suppose departure. Okay, I don't see letter suppose it that.

would you 200 200. Departure security check. So. In the. Last Production. Last Monday. Year. Production Most.

30 40 Of the. Yeah. This is not because. Last. This. Last This. And market. >> Interesting. No, I mean correlation of. Inflow of traffic at the airport.

And if 100 people come, two people visit. Niloufer. >> Right. >> Right. Our correlation analysis is going. to And second sources if you're able to. get real time data of consumption on an. airport at the flight. then that prediction is uh. to a level possible. >> Got it. >> But it's a very hard problem. I wish we. could solve this problem. That'd be a. billion dollar problem to solve. Thanks a lot. Customer problem with the. room. >> [laughter]. >> We'll discuss. Okay, now. Thanks for. your time.

>> Right. >> See you soon. >> Video later on in the video. >> Correct. Correct.

>> Okay. >> Okay, estimate. >> Uh and then guess estimated guess and. what what. >> [laughter]. >> Estimated guess, okay. >> So. >> Mhm. >> flight tickets data is available via. API. >> Mhm. >> Average flight ticket price when I tell. >> Mhm. >> Major flights, major cities and. >> Mhm. >> I.

>> ticket price. >> I need anything. >> I. >> I. >> Mhm. >> I. I. >> dynamic. >> on this situation. >> Well. >> That's a good idea. >> Okay. >> Mhm. >> So flight watcher. >> I think. >> flight price watcher basis method of. correlation. >> correlation. >> APIs on the way to get. >> It landed APIs on the way to get. >> Any real.

>> real time. >> Okay. >> Pricing APIs on the way to get flights. even if. >> I don't. >> APIs. >> So I know. >> Oh. >> Crazy and then it's so fascinating. >> What business that. >> conditions and. >> It could be the. >> got. >> There we are discussing about the data. >> I need API. >> [laughter]. >> No. API. >> crazy. >> Nice. >> I got to go to the as we are talking.

Will you drink a tea if it is very hot. that day? Is there a correlation to heat? Is there a correlation to weather? >> Okay. >> What are the other correlations that I. can find out because this is. only one kind of data we're looking at. But I don't think this is the only data. that we should look at. It's all I would look at weather. I. would look at sentiment. I would look at. why people are coming.

Those factors as well. As much data. points as I can bring in which I can. track. Track shape shape like a pen a data and. go to open side yesterday it will have. no impact. Real time data. >> [laughter]. >> But I'm going to get that all like India. is sitting. on an opportunity of a lifetime at this. point of time. The organized data in the.

country is less than 5%. Imagine when the data. which the government has to do a lot of. it has to get organized. A lot of papers. on the data. We can really really use it to change a. lot of things. >> Hey guys. Hello. >> Hi hi hi. >> That's I can see one second. >> Hello. >> Hi hi hi. Can you see me? >> Yeah, cuz.

>> I think it's the old DP that is stuck on. to zoom rate. >> What's up? How are you? How are you doing now? >> All well. Thailand. burning up. >> First of all thank thanks a lot shoot my. accepted it. >> No problem. No problem. >> Okay. >> Thanks a lot. So, Vaibhav is here. Pranay is here.

>> Hi. >> Dileep Guru is here. So, >> Hi Dileep. >> I think Tarun Anna is here. I think he's. the first person in in our show where a. couple of fascinating. line production and all that he talked. about. So, production there's a concept called. production and all that. How do you. reduce or how do you effectively use. money of a producer's of budget and all. that. Other part of the story spoke about. using AI for script writing. I put. to bed and all that he talked about. Seriously. >> [laughter]. >> he was saying possible.

But, then I know I should tell you this. The podcast and all that I downloaded. and all that. >> Right. >> Another show that I had a podcast. every time I used to watch it, every. time I learned one small one new insight. and all that. A different perspective. content and all that he talked about. I. think no one will will speak like that. so open. And the reviewers and all that. he talked about. The general content. creators. But, yeah, his perspective is different. I thought he'll be right for this. discussion also. Over to you. So, as discussed problem.

statement. discussion and. >> Okay. So, uh nothing much and all that. What's. happening what's happening is. in terms of. in terms of writing and post-production. uh going to be talking about. uh. What's happening with video generation. models such as there is a lot of. video generation models. uh clean on and all that. There is deep. dance and lots of other things and that.

There are these common places where you. can integrate all these video models. also. >> Correct. >> Can you put a film in the end and it's. all about. control. And control. achieve and and then I think then it. will disrupt something. First time can. be. we are seeing inconsistencies with the. location character and they are. basically. definitely becoming better and better. and going to be one second. Second, yeah. They're becoming better and better,

but having said that. generative models got but I don't know. if it is even aligned to that. perspective and they are. linear going to model location and. character and consistency say what you. are going to learn and they. That is a lot of That's a question. that's being. targeted by all these video generation. models. They are. making a group of agents also doing. their own custom pipelines. >> Correct. >> A custom pipeline is going to be a. problem going to be an Indian again it.

is operating from the cloud. It's not. operating from local servers. I. don't know what it is and you got going. to be and you have these outputs and. they are going to be video generation. models and they are. coming out in H.264 containers which are. impact compressions. So they are 10 bit. rate 10 Mbps. or 12 Mbps bit rates to be. going to be theatrical projection going. to be and they are going to be a. sequential DNG format and what they. I put a minute and image 23.976 frame. rate and.

they are going to be 24 frames and what. they. are going to be an image which is going. to be running to a lot of data 13 stops. of latitude and. cinema technical language. Now image generation models are doing. that. >> Yeah. >> Image scaling models are there. I put a minute and they are going to be. build a pipeline where we can take these. H.264. videos. Break them down into image. sequences PNGs and then you might need. image upscaling chassis DNG sequence.

chassis. I think it will be like a batch. processing and just I think it's going. to be really really disruptive for the. film industry. I don't. >> I don't I we have enough GPUs to be able. to pull this off, that's the problem. [laughter]. That is probably the problem, but I. think first of all, Tarun, huge fan. >> Thanks, bro. >> If I have to share a personal story, you know, Kida Cola has become that. movie where after we get drunk, if we. have to show someone a new Telugu movie,

that's the movie. >> [laughter]. >> Right? So, it's I mean, my girlfriend. has made me watch that movie like 10. times. >> [laughter]. >> But, she'll be very happy to know that. we caught up here. Chandana, Chandana. >> [laughter]. >> Okay. >> Thanks. >> But, I think one is that I'm pleasantly. surprised, bro, with the conversation. that we just had. Right? I don't know if. this is the case across. But, then I expected it to do that. you'll be talking about content. pipelines, you'll be talking about agent. orchestration.

>> [laughter]. >> to. So, you put me in a spot. But, sadly, it. would have been like with seed dance. 2.0, the one that we saw, right? That. just came out. The one that is out for us is actually a. distilled version of the product. The. full version of the product is not out. yet because uh. one of the issue that ByteDance found is. when they tried to convert an image into. a video, they heard the voice of that same person. that they didn't feed.

based on the data set. So, it's like. Chiranjeevi got photo ready, then he. generated it and then Chiranjeevi voice. came in, basically. In a version of that. came out. >> That is insane, man. >> Yes, as a result, as a result, they. thought this is too This could be a big. problem. And again, launch it again, launch it. again. around a couple of months back. Now, they're slowly launching out, which is a. heavy restricted. heavy guardrail restricted version. So, but with someone of your access, I think.

if I was you, I would not use a regular. one. I would try try get in touch with. ByteDance. to get direct access of their no. guardrail API. Right? >> What's that again? >> Without any guardrails. Guardrails in. API without no restriction because. they will So, for example, there are. companies like HeyGen. Right? >> Right. >> HeyGen logo they got integration with. Seedance. Download every engine. they don't allow audio. Seedance doesn't. allow external audio that simple that.

easily. But with HeyGen they allow. because they follow two-step. verification. So, they don't want people. to exploit it. You know what I mean? >> Right. >> Hence they're doing this, but there has. to be a way that we should be able to. get in touch directly with them. I'll. also try find a contact if I can because. that is an unlock. Uh the second unlock is consistency. character consistency and motion control. and it's already being solved. I think. it is the biggest problem that all these. video and models are trying to solve. I. think we are probably 6 months away from.

that. >> That's crazy. That's crazy. That's what. I thought because conversation started. but again there's so many updates that. it's a day-to-day update that we are. looking at. Uh no longer 3 month back. conversation is outdated and every day. the news is changing so rapidly. >> But there are some. ways to scale up uh. videos also. I don't know if it will fit. in the big screen which is the theater. screens until level scale up or because.

even on a video resolution level we are. best air models are capped at 720p or. 1080p. We are not at 4K yet. Right? Uh. not because they are not capable. It's. purely because of GPUs. Cost. [snorts]. >> Yeah, the processing that's required. Yeah. >> So, there are there are models like LTX. >> Mhm. >> Right? Which are open source. So, uh producer they want the budget. basically Nvidia GPUs but. we can actually get 4K output directly. Right? >> Right. >> [clears throat]. >> So, it is possible but tech and.

everything has to coincide to that. point. And also access has to coincide. to that point. But I think we are 6. months away and I believe now that we. have had this conversation, if someone. is picking this up it's going to be. probably someone like you. So I'm. >> [laughter]. >> looking forward. >> No, so that's what that there was one. conversation with my 80s and my. images and they. it's not only generally we get carried. away by resolution. But. theatrical projection is basically all.

about. bitrate and. data for that particular image and. matter. For example, you can have a 4K image, but it can be as low as 5MB and the. color information and the gradient. information that that image has. millions of colors fill up above all and. that's why we use expensive cameras like. and red because you know, they have a. lot of color information and matter. >> Correct.

>> You can literally see millions of. colors. I mean it's. a phenomenal experience to watch. theatrically. So I think the only way. for theaters to survive is to provide. that much of. information for the common audience so. that it's a it's a visual experience. that you cannot do on your digital. screens. >> Fair. >> But I think we have a long way to go. before you know, we can process that. amount of data through AI. >> Yeah.

>> Up scaling models and they are doing it. >> Yes. >> Off late we are also seeing on Instagram. where they are fine detailing of old. pictures. >> Yeah. >> And you know, if you have a detailed. texture to do that generate just to do. the plus it's up scaling that image. The the the fact that it's up scaling an. image, it's just 24 images a second. It's just like a few as you said. hopefully a few months away, but my. other concern is that. all this is being done so that the.

average consumer can generate films or. ideas at the click of a button and then. I still seem that's far-fetched because. of the processing. power it takes. I think it's going to. cost a bit. and the other RG research clearly made. out a very good statement. He said. it's easy to make films like Bahubali. but it does not make sense to make a. small film. >> That is true. >> That is true.

>> [laughter]. >> Why would you go ahead and make a small. film? So okay with that small film makers are. still safe I feel but there's so many. possibilities opening up and really. excited. >> So that is what I was trying to address. so I was. catching up with. >> You have time now? >> Yeah yeah yeah go go for all this. >> This is working anyway. >> Yeah I was I was catching up with Alex. who is the head of Meta AI.

Right? Meta I mean Facebook. I am talking about it was the same. conversation where Boss like the biggest. bottleneck is at this point of time cost. of inference. And the cost of processing and. everything is the future. you know local. Right? So you put models are converging. to. very good optimization. so that at lower.

memory you can do a lot more work. Right? Large models are becoming smaller. and giving you the same kind of output. so distillation and the process only. that is getting very very good. Yesterday I showed you the example of. Gemma 4. Right? And the same is kind of. happening with video as well. So first either first text loading only. then the audio loading only text and. audio is almost happening what we are. expecting a year back. Now it has to happen with images and. videos. Images also have started. Now.

the next is video with LTX studio Japan. LTX is the first glimpse of that where. you can actually generate a video out of. a Mac. Right? It's not great but it's a footage. that looks how it used to look with a. Sora one. Right or Sora the newest model. Now is. it as good as C dance? No. But maybe a. year later it will be as good as C. dance. So future I think everybody will. be having racks. Right? [snorts] That will be part of the. cost of production.

Or maybe as you pay money to actors and. directors and producers you rent out a. rack as well as a part of the cost of. production for the movie. >> Interesting. >> One last question. What's happening in. the industry and with with respect to AI. adoption? What do you What do you have to say? >> That's what artificial intelligence in. some way or form has always been a part. of the film industry. It has been called. different names.

>> [laughter]. >> That's true. >> See initially they used to. technology always converge and create. smart and that trend and then green. trend and then. >> [laughter]. >> It was I mean if you started down to the. basics we've always had technology to. assist us and filmmaking has. always been innovative and you know it's. always been at the edge of that and.

matter. Because you know we are constantly. working with VFX that what we deal with. is video quality. It's always been constantly evolving in. post-production DI and then see later. and then money. obviously production intensive. everything on the other side. It's. always been around. For sure, VFX recently made a recent. cinema logo. Even in promotions, we had. some. >> Oh, yeah, yeah.

>> And I was I was pleasantly surprised. I. mean, uh that is happening and. VFX logo, uh lot of uh lot of work uh. has reduced. I mean, uh rotoscope artist. video cut. and the big logo channel video on the. And that is going to reduce uh. significantly. And a lot of work is. going to be simplified, for sure. >> Access. >> Yeah. I don't think it's going to. replace filmmaking altogether because.

definitely uh there there are going to. be a lot of constraints, but it has to. work in tandem. Definitely, it's going. to work in tandem. And lower end jobs. and a basic work a paper. cut JCC film cut JCC. Whatever, I mean, basic not. uh uh but the television and a bundle. with those jobs are in for a toss. And. it's a part of evolution. I don't think. by the road the stupid video called you.

>> [laughter]. >> Because it's a part of evolution and you. know it's going to happen. If you want. the wheel to go, then the square has to. become. >> Well said. >> You know, cut off his edges go. >> Well said. >> Crazy, crazy. >> So, >> Yeah, I think I only next next I think I. only can I think [laughter] it's going. to happen. You're talking about you need to know. Uh. I think I'm in Thailand right now. It's. scorching heat. I put it on the I wish I.

put a photo Ricky just a photo on the. photo on the I put a photo photo on the. photo on the photo on the photo. >> [laughter]. >> Uh. >> [laughter]. >> But yeah. I put it finally up and I do this. tonight. So, I think by October. [laughter] I should be done. with this. Yes, why not? 100% It was lovely.

speaking to you guys. Thank you very. much. Means a lot. Thanks for the time. also. I could go to Johnny. Thank you, man. Thank you for this. Really looking forward to the future. Exciting. I'm glad I could speak to you, the leap and all of you guys. Thank you. for having me. Thank you. Thanks a lot. Bye, Anna. Bye. Bye. Bye, Anna. See you. Bye. Insane and then Wow, I'm just imagining. this was impressive. Just imagine if someone who doesn't like. or doesn't doesn't know about AI or is.

not. what you call adopting AI, if he's. watching this content. They. enter enter any level of. In fact, in the natural. My notes in the inner remarkable last. minute document law 30% of the night. But still we are we were so at the enter. content. >> [laughter]. >> Crazy as a local industry local Italy my. problems going to be.

enter different exposure. Actually got me know Ben Affleck. Okay. Time. Scorching heat and I. >> [laughter]. >> I can never go to point chapter. I get the feeling Ben Affleck got to go. now. And then to Hollywood with the. actors in the name who have very good AI. consciousness and then awareness by. going in fact Ben Affleck got AI company. only. I know Netflix company said it was. Oh, okay.

So Ben Affleck the for me and my. learners check. every now and then I will get an hour. and a normal people get AI explained to. you all and then and first of all the. >> Okay. Okay. Okay.

So anything about this query and give me. one up? Actually. I think upscaling I'm going to upscaling. got it kind of a different problem. [laughter]. When he spoke about 24 frames per. second, if we scale it up we can put. together to make it into a video. Technically he's absolutely bang on. When we do there are there are tools. like Topaz that he mentioned. The upscaling happens in the same way.

Uh Topaz water. So it's for video editing and now it has. become AI first major thing. So. we can probably show towards the end of. how to do that. Upscaling basically. So it also does in the same way. But. what he did is very interesting. He. showed he told people. even if you know your art very well, you.

can apply AI there, learn AI and do it. Because the moment he said that. upscaling and how it is 24 frames per. second. I can think of we can use comfy UI. Correct. We can use comfy UI and then. you go. image workflow with it. Okay. All right. You break down and video. Basically he means either got a problem. or something. Every second is divided. into 24 FPS and then 24 frames per. second.

24 images put together just a one second. video. so. video up scale down custom. I got it okay so image me. because image up scale down easy up. scale image up scale down. all the images put together software. video. high quality video. that is what I have. right but the interesting thing is Topaz. lab is probably not catering to his.

requirement of theoretical theoretical I. can imagine that you can build a comfy. UI workflow for this. comfy UI workflow is exactly this do you. want to explain. can we also see and then it's a open. source thing so you have to look for. comfy UI. car but they are they one of local. government machine but they more carry. button. heavy at this okay. so that they ain't. money cloud GPU servers on that and the.

load chassis just matter okay. uh. >> [snorts]. >> for that six months back. >> [laughter]. >> are you in the middle of kindergarten. every model chat with people everyone. want to chat with Pepsi model Coke. better than. for example. money Pepsi photo that Coke to replace. to get it up yeah yeah yeah. and the powerful car to do that money. comfy way to say it to you.

so comfy way and that just want to tell. you. I put it on there. I put it on me either way I got it. >> [laughter]. >> I bought the achievement just. a bus and. more time. marches on and so far so good. two months back two months after that. two weeks. chat GPT image generation what's it. and then I want to cook I image. Pepsi and Coke and Coke and Pepsi. [laughter]. and then I just put it on there. and then GPU Mhm.

Mhm. Mhm. Mhm. Mhm. >> [laughter]. >> Mhm. Mhm. Mhm. Mhm. Mhm. >> [laughter]. >> Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. >> Is it a good option? >> Is it a good option? >> Till you get the. >> AI models to be able to do that. >> a really, really important problem for. you. >> Mhm. >> Then yes, yeah.

>> Mhm. Mhm. Mhm. Guaranteed. Mhm. Mhm. >> [laughter]. >> Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm.

Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. >> [laughter]. >> Mhm.

Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. >> [laughter]. >> Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Mhm. Garu. I think we're going to get you better. And then yeah.

Cinema. making is going to be a lot. than poetry and a lot of them probably a. lot of them. are going to get you. Not this one. year old my something not something. going to be a lot of them. Something is something to. Yeah. Yes, I'm a sinner assistant to your. something to perish. First of all, but. we should be able to tell. my something is something to yeah. And then get to know and then. yeah.

matter that I do. Something is something. to yeah. Something is something to yeah. Something is something to yeah. Something is something to yeah. Something is something to yeah. Something is something to yeah. The money is something to yeah. The. money is something to yeah. The money is. something. Yeah, my medicine is something to. Yeah, my medicine is something to. Something is something to yeah. Something is something to yeah. Something is something to yeah. Something is something Something is. something to yeah. Something is. something to yeah. Something is. something to yeah. Something is. Something is something to yeah.

Something is something to yeah. Something is something to yeah. Something is something to yeah. Something. is something to yeah. Something is. something to yeah. Something is. something to yeah. Something is. something to yeah. Something is. something to yeah. Something is. something to yeah. Something is. something to yeah. Something is. something to yeah. Something is. something to yeah. Something is. something to yeah. Something is. something to yeah. Something is. something to yeah. Something is. something to yeah. Something is. something to Something is something to. yeah. Something is something to yeah. Something is something to yeah. Something is something.

Something is something to yeah. Something is something to yeah. Something is something to yeah. Something is something to. Something is something to yeah. Something is something to yeah. Something is something to yeah. Something is something Something is. something to yeah. Something is. something to yeah. Something is. something to yeah. Something is. something to yeah. Naatu Naatu part of. all of you see. You mission only chase competition. And the moment I see him.

Then I'm going to tell them to say it in. some good to do and then I do. Mother by the way what about her? And the mother mother like a mother. Then come out of the power of the girl. and I don't know. I don't know to learn. that I'm going to tell them to go out. and learn about the color. You know I'm. also the mother support alone you know. and I What I need to do with you to. discuss with you. You want to give. them to protect my children talk about. the. Didn't you never tell them you want to.

do the Yankee? Come out you want me to. tell them to say it to them out in the. other children and then I can do. I'm. going to tell them to say it out loud. and then I can tell them to say it. Mark. and I don't need to do. So I can tell. them to tell them to tell them to I'm. going to tell them to tell them to tell. them to tell them to tell them to tell. them to tell [clears throat] them to. >> No question. >> [clears throat]. >> What do you. What do you understand? High level. >> [laughter]. >> So now if we need to discuss about this,

what do you feel? Maybe tell you what happened in the. English matter. When I tell you what is. the language in in general lyricist key. I don't know what to do. Even though I. accurate to help you situation on the. apple. >> I think so. I again then this is kind of. I can't tell you what to do but. logically matter. I logically I'm going to tell you. I feel all the creative people have. roadblocks. Mhm. I don't know what I'm.

going to do. Work out of what they do. Biggest name name choose a movie lonely. Beatles in a movie of any like you know. you know all these large bohemian. rhapsody every. big I. goes through a block. Mind block, where they're not able to. come up with new things. Okay, they're. stuck up with that. They're not able to. move beyond. Right? For example, he took the example. of Suno.

Okay, song only. And then he allowed to. represent you at you. Maybe AI. What is a part movie where is that I am. going to do? And the AI will become idea. engine for you. My lyrics bumping in Jesse. I 100 variations of part of my job in. show. And you have to because AI understands. music across the world, not just of uh. you know, Telugu. You get a lot of. inspiration. I. don't know pick up just to what I am. going to do that guy.

I don't know what inspiration you see I. don't know what I am going to do. I. don't know what I am going to do. I. don't know what I am going. So, it compounds your innovation. ability. That is how I use AI as well. Today, like you don't know now I don't know. YouTube video or let's say script trial. and go Instagram. You know, I don't. consider myself to be a creative. like sir is, but even at that point of. time. I don't know what I am going to do. I. don't know what I am going to do. I. don't know what I am going to do. I. don't know what I am going to do. I. don't know what I am going to do. I. don't know what I am going to do. I. don't know what I am going to do. I. don't know what I am going to do. I. don't know what I am going to do. I. don't know what I am going to.

I talk with AI. As I give ideas to AI, idea. AI gives me more ideas. It's an. unlimited idea generation machine for. me. Perspective and hands to me that I do. Because I don't have someone who. understands what I understand right next. to me all the time. It acts like that. I don't know what I am going to do. Everybody has a style. Everybody works for a reason. Right? I do.

I don't know what I am going to do. I. don't know what I am going to do. I. don't know what I am going to do. I. don't know what I am going to do. I. don't know what I am going to do. I. don't know what I am going to do. I. don't know what I am going. It's a very hard thing, I believe. All right. So, again, I can also imagine. if I'm a lyricist or if I if I write. songs, I would feed all the songs. that have already made it. I will say these were the hits. These are the ones that have gone viral. on Instagram Reels.

So, this is how I think. And on top of that, I will do. everything. So, that AI also understands my style. I. mean, I just said it, right? I believe creative is all inspiration. Nothing is original. Everything is. synthetic. I don't. know what you mean. The idea is coming. basis of. something that we have seen, something.

that I have read some point of time. It's all inspiration. Right? It's all inspiration. >> So, finally, too many inclusions, too. many experiments. 12 hours later. >> [laughter]. >> One eternity later. >> [laughter]. >> No, but you know what? I had a lot of. fun. That's what I was about to ask. I I had. a lot of fun, actually. I think. the part that I really enjoyed is the.

questions. Uh. we should do this more often. >> Yeah, definitely. >> This will be an IP. >> So, yeah. And we should also we should. also build. >> So, that can be a pattern. If you're. able to solve it, it will be amazing. >> You'll have to name it. What was that?

The last 5 years we've done 5 hours. we've done. >> Breaking heads with AI. >> [laughter]. >> Breaking heads on AI. But yeah, it was amazing as well. Different point of views. Everything and then different point of. views opening. This is not just about AI AI AI and all. that kind of stuff. It's also about. architecture and then it's strategy,

understanding, connecting dots. Like it's super. I feel proud. >> On that note, money can business. validation. idea validation. I think a lot of. engineers love building stuff. And in. that course of building they forget. whether that can actually become a. commercialized product or not. These things would really help. Yeah. >> [laughter]. >> So, I think such kind of things would. help them.

Oh, market. problem. That would really help. >> Yeah, we'll have to do this more often. Is that it? Not just by the way, I have. even one more. So. I'll rope you in. >> Ready, ready. >> Yeah. >> But this was good because I like to. think. And. questions what you have to do, I was. thinking. >> Amazing. >> I was thinking. I was like, huh, I like. it. Is it possible? Is that possible? Like the sky is kind of API figuring out.

like is that happening? WhatsApp how to do it, how to do it, how. to do it. Browser to do it, but it's not scalable. You know what I mean? It's not very and then I go. open claw good at doing it. Wait, if it. can if it could read my reply my. messages, that means it could read my. messages. That means I can use that to. summarize my messages. So, I learned something new by thinking. about it, which is what I like. >> What a crazy experiment.

>> [laughter]. >> Okay. >> There were, I think, 40,000 people, something like that, on the call. >> Mhm. >> Our sessions on Zoom is like that. >> Mhm. >> Yeah. >> 40,000 people on the call. Sunday evening.

Then you said no. Then I traveled, I. came back. I forgot about it. >> Mhm. >> Suddenly my computer restarted and then. >> He was telling that I. >> Suddenly my computer restarted and then. what happened? Restarted and then the freeze happened. screen. I run a Mac studio. I write, I don't see problems like this. I put the link on just on maybe. I might not be able to take my sessions. because my computer is not in my. control.

Because initially you know, why I share. I gave it root access. >> Mhm. >> I don't know what kind of program that. this thing is. I don't know what kind of program that. this thing is on my computer. I put my. session on and then. join in the water and then I tell them, "Listen, if my computer restarts, if my computer. stops, if something comes up on my. screen which should not, please bear with me.". I put it on. >> browser and then scroll it on start. [laughter] again. >> So, people were like ain't it a computer.

But, that is when he was on. standby. So, one person was saying somebody. hacked your computer. >> [laughter]. >> But, some people joined a little late. I don't know what kind of Somebody. hacked your computer. Somebody hacked. your computer. >> Multiple times. He wanted us to notice. the message. >> I hacked your computer and I hacked your.

computer. >> [laughter]. [laughter]. >> Done, bro. Thanks a lot. >> Thank you. >> It was crazy experience. Let's clap for. ourselves. >> Clap for all you people for being so. patient. >> [laughter].

[laughter]. >> Yeah, let's go. Let's wrap. Awesome. See. you. Bye-bye.