part 2
May 12, 2026 14:05
· 19:58
· English
· Whisper Turbo
· 2 Звучници
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Speaker 1 (part 2)
I don't have to call the phone.
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I'm going to call
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Vamsi and tell him that I'll be 30 minutes late.
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Okay.
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It'll call on my behalf.
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Because there are all these calling,
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AI calling apps.
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There is a tool called as Wapi.
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Wapi.
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Okay.
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Wapi.
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It has something called as,
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it has API integration.
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So, that is plugged into Jerry.
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Plus,
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11 labs,
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I have a voice.
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I don't have audio content.
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All my social media content is AI generated.
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So,
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when
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it talks, it will talk like me.
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It will sound like me,
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but it will say, I am webhouse AI executive.
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Yeah, I'll understand also.
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You'll understand.
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But people who don't know me,
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who don't talk to me,
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they will not know.
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So, I have to say.
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So,
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it will call.
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But that is not the crazy part.
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Let's say you don't pick up the phone Okay
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I have set up the guidelines that call,
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if the person doesn't pick up,
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call after five minutes.
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If the person still doesn't pick up,
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call after 30 minutes.
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Okay.
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If the person still doesn't pick up,
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if you have the email or WhatsApp,
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drop him an email or WhatsApp if needed.
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So there are tags,
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urgency tags.
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This is important.
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Make sure you call Vamsi and tell 30 minutes.
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If I just say call Vamsi and say,
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then there's one more playbook for that.
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Let's say no one.
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30 minutes late,
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you say,
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bro, do you want to eat anything?
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Let me know.
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That message could be released?
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No,
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no. You let
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me know what you want.
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If I say, yes,
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I want to eat, please order.
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Then again,
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it will call you back and tell you that.
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Crazy.
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Right?
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So, Jerry can do anything right now.
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Right?
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Let's say,
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I have a team.
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Like,
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data like analyst Chester,
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YouTube and all.
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And I was giving this example to your team.
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I treat Jerry like an actual very smart employee.
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I don't question.
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Can it do,
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can it not do?
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Let's say I want to understand what is working
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on my YouTube.
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I just tell Jerry,
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go into my YouTube because it already knows who I am.
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Context initially onboarding with HSN.
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It's a long process on OpenClock to set this up.
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Now I can just say,
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Jerry, figure out what is working on YouTube
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for me.
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And also what could be some outlier content pieces
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that I can create from my vidIQ account.
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Then it can open my YouTube with
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its own browser while I'm sleeping.
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Right.
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Or while wherever I am,
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doesn't matter.
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Then Slack or message.
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It can open my YouTube on the computer.
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on my back at my home,
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go to YouTube.
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If it understands that it can,
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it has to download those reports.
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Analytics download,
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outliers,
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whatever it needs to do.
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It can,
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it has access to its own browser.
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They can code,
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the product code.
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For example,
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data analysis.
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Data analysis found its insights.
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It has to present that data to me.
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So it has a habit of building into dashboards because that is what I say.
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Every time I ask you for data,
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always give me a dashboard,
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not a slab of text.
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So you can
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imagine, like you can think anything that you want to do.
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Yeah.
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Let's just imagine if this Jerry is a smart employee or a
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set of employees and Google employees,
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what would be the cost of them?
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Good question.
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Two ways of looking at it.
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Okay.
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You can almost run it for free.
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Okay.
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I'll tell you what it
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costs me.
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It costs me almost close to a lakh per month right now.
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I'll tell you why.
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I keep experimenting.
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Because I want to know what it can do.
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Because I want to know what it can do.
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So I keep trying a lot of things.
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Mine is an edge case.
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Okay.
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Right. I think if you would use it or someone like that will use it,
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I don't think it will cost more than 10 ,000 rupees,
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5 ,000 rupees per month.
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Depends on how much you use it.
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Now,
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you want the best out of an open claw,
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then you will spend that money and that money is going into API costs.
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The way you
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can do it for free.
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Yes, of course,
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it will not perform as well as this will do.
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But I think in one year,
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again, next time when we are talking,
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the free one will be as good as the paid one.
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And the free one is,
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like I told you,
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There's a cost to run all of this.
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The AI.
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The cost of this is AI.
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The compute,
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the tokens that AI uses.
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We need the cost of the chat GPT -1.
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And we use
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it. In the
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backend.
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What is it doing?
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It is using something called as tokens.
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Simplify it.
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In the words input,
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in the question,
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in the words,
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the answer is the cost.
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Let's say $1,
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$0 .20,
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$0 .10,
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whatever.
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That is the cost of compute.
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Because that AI model is
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running on a GPU.
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NVIDIA GPU,
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or Google Tensor Processing Unit,
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or TPU.
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And that is the cost.
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The hardware cost is what is being built to you.
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Because we don't have to worry about it.
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But today,
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AI models are becoming very,
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very smart.
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And from that AI model,
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we run into the computer.
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Not as powerful as,
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let's say, GPT 5 .4 or Gemini 3 .1 Pro or
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Opus 4 .6.
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These are three best models right now,
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right? Which are available to public at this point of time,
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right?
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Those are very big models.
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And the computer will run over.
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But if you have an email to rewrite,
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you don't have a model.
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To go and pick up Diet
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Coke in Banjara Hills with full
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traffic.
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It's better to go in a Rapido than your Ferrari.
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Correct?
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But we're using a Ferrari because we have a Ferrari.
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Right?
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Obviously,
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if you have a Ferrari,
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you should go use it.
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That's a different story altogether.
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So,
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we are using a very powerful model for things that
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you don't need it for.
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So, there was a study,
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right? 85 -90 % of the tasks need to use AI.
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Look at those
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tasks.
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80 % of them doesn't need the power of the AI model.
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Seeking information.
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This is question and answer.
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Practical guidance.
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Again,
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question and answer.
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Writing.
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Technical help.
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In technical help,
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we're including a smaller section under coding.
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Right?
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So 80 % of the tasks.
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This is the older report,
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by the way.
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This is two years old.
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OpenAI report is two years old.
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There's a recent anthropic report also,
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but very similar direction.
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Even it goes on,
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you don't need a very smart model.
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You don't need a very large model.
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Smart model is the wrong point.
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Not,
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if the model is large enough,
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doesn't make it just smart.
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Like models,
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larger models are good at everything.
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Right.
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But if you know,
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if you have a single model,
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you need coding.
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You need math solving.
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You need science.
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Because those are hard problems.
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So AI is trying to beat those things.
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But when it comes to writing,
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A small AI model,
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which can run on your computer,
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can do a 90 % of the job.
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Yesterday,
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he had a question like this.
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Okay,
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for example,
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if you have a phone,
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Google Edge AI app,
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Edge Gallery.
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Okay.
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Right.
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We will send all the links to people so you can download.
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Edge Gallery.
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A free app by Google.
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You have the ability on an Android phone.
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You have the ability to install AI models which are very small.
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For example,
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Gemma 4.
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Okay.
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Is a new AI model that came from Google.
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Which is a 1 billion parameter model.
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And the size of that model,
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hypothetically speaking,
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is 1 by 1000 of the size of Opus.
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Oh.
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Which you use.
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No,
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I don't know.
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I don't know.
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I don't know.
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I don't know.
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It is bloody good.
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It's 80 % there.
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And 70 % there.
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Rewriting tasks,
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this message pump,
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pump it up,
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this question comes in.
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That's what it is.
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It's running on your phone.
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Internet is also running on your phone.
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I have that app installed on my phone so that if I have some work to
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be done when I'm on a flight,
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I use that model.
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That's on your phone.
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It's working for free.
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Forever.
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And it has become 10 times more powerful than it was
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one year back.
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That was Gemma 4 which dropped.
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Is it available both on iOS and Android?
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iOS could be absent.
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Okay.
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I think Gallery is only Android,
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right? Edge Gallery is of Google,
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so it's only Android.
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But iOS could be absent and then links pump it up.
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You can run your own AI,
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which is...
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probably 15 -20 times more powerful than your phone.
9:49
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Okay.
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Phone is small.
9:50
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You can run very small models.
9:52
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Laptop has...
9:54
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Every laptop has GPU.
9:57
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Every laptop has secondary memory.
9:59
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In fact, if you're using...
10:00
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Using Mac, it's even better.
10:01
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Because they do something called as unified memory.
10:03
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Danwalla,
10:04
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you can actually run 10 -15 billion parameter models.
10:08
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Speaker 1 (part 2)
Which are again insanely good.
10:11
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Like, Quen 3 .5.
10:13
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Incredible model.
10:15
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Gemma again dropped recently.
10:17
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Speaker 1 (part 2)
Incredible model.
10:18
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Speaker 1 (part 2)
Open source model this way.
10:19
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Speaker 1 (part 2)
So you can run AI on your computer without internet
10:23
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access for free for life.
10:26
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Speaker 1 (part 2)
Crazy.
10:29
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Speaker 1 (part 2)
You can do probably
10:33
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Speaker 1 (part 2)
70 % of the things that you want to do at a very,
10:37
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very high quality without spending a single rupee.
10:39
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Speaker 1 (part 2)
And for laptop, you can use a tool like Olama or some
10:43
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Speaker 1 (part 2)
UI,
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Speaker 1 (part 2)
there's a tool called LM studio.
10:49
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Okay.
10:50
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Speaker 1 (part 2)
And the other advantage of doing this is that when you use
10:54
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Speaker 1 (part 2)
an open source model,
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Speaker 2 (part 2)
then advantage is
10:56
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Speaker 1 (part 2)
Your information is on your computer.
10:58
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Speaker 1 (part 2)
What I
11:05
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Speaker 1 (part 2)
am realizing about myself,
11:06
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Speaker 1 (part 2)
and everybody has to realize this about themselves as well,
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Speaker 1 (part 2)
we are opening up about things with AI
11:13
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Speaker 1 (part 2)
that we will not with any human in the world.
11:15
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Speaker 1 (part 2)
Deepest insecurities.
11:25
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Speaker 1 (part 2)
because it used to give articles now AI gives you opinion
11:29
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Speaker 1 (part 2)
and on top of that AI is sycrophantic sycrophantic
11:33
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Speaker 1 (part 2)
and AI is like yes bro you're
11:37
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Speaker 1 (part 2)
right I trust you you're awesome right
11:42
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Speaker 1 (part 2)
so we are becoming more connected because you're getting acknowledgement
11:46
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Speaker 1 (part 2)
from it as it is that you end up saying a lot of things that are very
11:50
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Speaker 1 (part 2)
private to you
11:52
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Speaker 1 (part 2)
Like last time,
11:53
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I think around six months back,
11:55
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Speaker 1 (part 2)
around 25 million or 40 million
12:00
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Speaker 1 (part 2)
chat GPT chats were leaked because of a breach.
12:05
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Speaker 1 (part 2)
When I read that,
12:08
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I'm like,
12:09
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Speaker 1 (part 2)
I don't want my messages to get leaked,
12:11
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man. So anytime,
12:13
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I made a habit after that,
12:15
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by the way.
12:17
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every time when there is something like this,
12:18
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I will use a model which is running on my phone or my computer.
12:22
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Speaker 1 (part 2)
So that the moment I delete that app,
12:25
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it's gone.
12:25
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Speaker 1 (part 2)
Nobody has access to my information.
12:27
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Speaker 1 (part 2)
So it could be a lot of things,
12:30
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Speaker 1 (part 2)
a lot of insecurities.
12:31
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Speaker 1 (part 2)
This is how I'm feeling.
12:32
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Speaker 1 (part 2)
Is it okay?
12:33
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Speaker 1 (part 2)
Every time I say something like this,
12:35
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I also say that I'm not recommending you all these things because
12:39
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Speaker 1 (part 2)
you will do something wrong with AI.
12:42
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Speaker 1 (part 2)
As a result,
12:42
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Speaker 1 (part 2)
you should delete it.
12:44
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Speaker 1 (part 2)
This is your privacy.
12:45
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Speaker 1 (part 2)
It's your right.
12:46
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Speaker 1 (part 2)
You should know that this can happen so
12:51
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Speaker 1 (part 2)
that you're taking steps to make sure your privacy is protected.
12:55
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Speaker 2 (part 2)
That's it.
12:56
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Speaker 1 (part 2)
For example,
12:57
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Speaker 1 (part 2)
OpenAI recently said that especially for kids,
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Speaker 1 (part 2)
if they feel that the kids are getting towards direction of suicidal,
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Speaker 1 (part 2)
they will notify their parents.
13:07
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Speaker 2 (part 2)
How do they identify?
13:10
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Speaker 1 (part 2)
By looking at messages,
13:11
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Speaker 1 (part 2)
conversations.
13:12
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Speaker 2 (part 2)
So these are kid accounts.
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Okay.
13:15
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Speaker 2 (part 2)
So naturally guardian accounts.
13:17
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Speaker 1 (part 2)
Yeah, guardian accounts.
13:17
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Speaker 1 (part 2)
YouTube kids alone.
13:19
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Speaker 1 (part 2)
Claude also said
13:23
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Speaker 1 (part 2)
if you do anything illegal,
13:24
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Speaker 1 (part 2)
there's a possibility that this information will get to law enforcement.
13:28
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Speaker 2 (part 2)
How crazy.
13:29
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Speaker 1 (part 2)
So these
13:37
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Speaker 1 (part 2)
things are there and it should be there.
13:40
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Speaker 2 (part 2)
That's right.
13:40
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Speaker 2 (part 2)
Last time I met a client.
13:42
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Speaker 2 (part 2)
That's right.
13:43
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Speaker 1 (part 2)
Safety guardrails.
13:45
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Speaker 1 (part 2)
Safety guardrails have come in slowly.
13:47
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Speaker 1 (part 2)
And it has to come.
13:48
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Speaker 1 (part 2)
There's no two ways around it.
13:49
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Speaker 2 (part 2)
Of course, of course.
13:49
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Speaker 2 (part 2)
And cost also,
13:50
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Speaker 2 (part 2)
two quick questions.
13:51
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Speaker 2 (part 2)
One is,
13:52
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Speaker 2 (part 2)
see, you don't have to pay a lot on your scale.
13:56
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Speaker 2 (part 2)
Let's talk about your case only.
13:58
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Speaker 2 (part 2)
Versus,
13:59
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Speaker 2 (part 2)
the amount spent on AI tools or AI models or subscriptions versus,
14:03
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Speaker 2 (part 2)
if you want to pay a lot on your scale,
14:06
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Speaker 2 (part 2)
you should pay a lot on your scale.
14:09
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Speaker 2 (part 2)
Just the opportunity cost.
14:10
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Speaker 1 (part 2)
I think it will be like.
14:12
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Speaker 2 (part 2)
Let people understand.
14:13
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Speaker 2 (part 2)
20x I guess.
14:15
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Speaker 1 (part 2)
It will be 20.
14:16
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Speaker 1 (part 2)
I can't even.
14:17
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Speaker 2 (part 2)
So.
14:18
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Speaker 2 (part 2)
And that to 24 hours with you.
14:20
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Speaker 2 (part 2)
Yeah.
14:20
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Speaker 1 (part 2)
Anytime.
14:21
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Speaker 1 (part 2)
Array bro like.
14:22
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Speaker 1 (part 2)
The kind of systems.
14:24
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Speaker 1 (part 2)
That we have managed to build.
14:27
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Speaker 1 (part 2)
I don't think.
14:29
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Speaker 1 (part 2)
I can hire a team
14:34
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Speaker 1 (part 2)
which can do it.
14:34
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Speaker 1 (part 2)
The way I want it to work like.
14:39
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Speaker 1 (part 2)
You know that I create content now.
14:41
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Speaker 1 (part 2)
Just like you get brand deals.
14:43
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Speaker 2 (part 2)
You are not creating content.
14:44
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Speaker 1 (part 2)
So my face creates content.
14:46
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Speaker 1 (part 2)
My AI creates content.
14:47
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Speaker 2 (part 2)
He's never there in front of the camera.
14:49
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Speaker 1 (part 2)
Only in this podcast.
14:50
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Speaker 2 (part 2)
Actually.
14:51
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Speaker 2 (part 2)
Sorry.
14:53
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Speaker 2 (part 2)
So.
14:56
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Speaker 1 (part 2)
that line of business also works based on brand deals.
15:00
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Speaker 2 (part 2)
The brands, yeah, yeah.
15:00
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Speaker 1 (part 2)
Right.
15:01
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Speaker 1 (part 2)
And so,
15:02
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Speaker 1 (part 2)
the more brand deals,
15:03
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Speaker 1 (part 2)
the better, higher quality brand deals,
15:05
S…
Speaker 1 (part 2)
the better it is for the whole business.
15:06
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Speaker 1 (part 2)
So, we have targets.
15:07
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Speaker 1 (part 2)
Let's say,
15:08
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Speaker 1 (part 2)
we are doing 100 rupees,
15:10
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Speaker 1 (part 2)
we want to do 1 ,000 rupees next year.
15:12
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Speaker 1 (part 2)
How do you scale?
15:13
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Speaker 1 (part 2)
The only way to scale is to get more sponsors.
15:16
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Speaker 2 (part 2)
Sponsors,
15:17
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Speaker 1 (part 2)
one of the sponsors is always there.
15:18
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Speaker 1 (part 2)
If you reach out,
15:20
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Speaker 1 (part 2)
you reach out.
15:22
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Speaker 1 (part 2)
So what we created,
15:24
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Speaker 1 (part 2)
I'll give you this example.
15:24
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Speaker 1 (part 2)
We created an AI agent.
15:26
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Speaker 1 (part 2)
It's called the sponsorship bot.
15:28
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Speaker 2 (part 2)
Okay.
15:29
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Speaker 1 (part 2)
AI agent,
15:29
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Speaker 1 (part 2)
content creators,
15:33
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Speaker 1 (part 2)
50 to 80 members.
15:37
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Speaker 1 (part 2)
Core AI will be 10,
15:39
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Speaker 2 (part 2)
10,
15:40
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Speaker 1 (part 2)
15 people like me.
15:41
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Speaker 1 (part 2)
Yeah.
15:41
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Speaker 1 (part 2)
Adjacent will be altogether 100 people.
15:44
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Speaker 1 (part 2)
YouTube, Instagram,
15:45
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Speaker 1 (part 2)
LinkedIn, Twitter,
15:46
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Speaker 1 (part 2)
newsletters.
15:47
S…
Speaker 1 (part 2)
250,
15:49
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Speaker 1 (part 2)
300 properties.
15:50
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Speaker 1 (part 2)
My AI.
15:53
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Speaker 1 (part 2)
Every single day,
15:54
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Speaker 1 (part 2)
I think around 10 or 12 times they do pulse check.
15:57
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Speaker 1 (part 2)
Oh.
15:58
S…
Speaker 1 (part 2)
Watch us every single video of every single piece of content that
16:02
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Speaker 1 (part 2)
has gone out in any of these profiles.
16:04
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Speaker 2 (part 2)
Of those 80 plus profiles.
16:05
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Speaker 1 (part 2)
Of whatever profiles.
16:06
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Speaker 1 (part 2)
I think 80, 90.
16:07
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Speaker 1 (part 2)
My team keeps adding.
16:09
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Speaker 1 (part 2)
Okay.
16:10
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Speaker 1 (part 2)
So once she AI content created on a start,
16:12
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Speaker 1 (part 2)
she gets added to that list.
16:13
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Speaker 2 (part 2)
Okay. Right.
16:14
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Speaker 2 (part 2)
Irrespective of the language.
16:15
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Speaker 1 (part 2)
I don't care.
16:16
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Speaker 1 (part 2)
Irrespective of the language.
16:17
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Speaker 1 (part 2)
Right.
16:18
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Speaker 1 (part 2)
But we mostly have been looking for English.
16:19
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Speaker 1 (part 2)
Okay.
16:20
S…
Speaker 1 (part 2)
We have not built the engine where we are telling AI,
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