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Building PayArk at 15 & Rethinking Nepal’s Tech Future | Guest EP

89m 46s

Building PayArk at 15 & Rethinking Nepal’s Tech Future | Guest EP

یہ ٹرانسکرپشن ایک پوڈ کاسٹ یا انٹرویو کا حصہ ہے جس میں ایک ماہر مصنوعی ذہانت (AI) اور ایجنٹوں کے درمیان ادائیگیوں کے نظام پر گفتگو کر رہے ہیں۔ وہ بتاتے ہیں کہ جب AI کسی کاروبار کا انتظام سنبھال لے تو اسے دوسرے AI ایجنٹوں کے ساتھ خود بخود لین دین کرنے کے قابل ہونا چاہیے۔ اس خیال کو گوگل نے اپنے A2A (Agent-to-Agent) فریم ورک کے ذریعے فروغ دیا ہے۔ اس نظام میں ایک بڑی رکاوٹ یہ ہے کہ موجودہ ادائیگی کے طریقے (جیسے PIN اور OTP) انسانی استعمال کے لیے بنائے گئے ہیں، جبکہ AI ایجنٹوں کو ایک سادہ API کال کے ذریعے ادائیگی کرنے کی ضرورت ہے۔ اس مسئلے کو حل کرنے کے لیے "انٹینٹ مینڈیٹ" جیسے تصورات متعارف کرائے گئے ہیں، جو ایجنٹ کو لین دین کے لیے جوابدہ بناتے ہیں اور انسانی مداخلت کی ضرورت کو ختم کرتے ہیں۔ ماہر کا خیال ہے کہ یہ ٹیکنالوجی مستقبل قریب میں بہت اہم ہوگی اور اس کی مارکیٹ 2030 تک 35 بلین ڈالر تک پہنچ سکتی ہے، لیکن اس وقت ایشیا میں بہت کم لوگ اس پر کام کر رہے ہیں۔ گفتگو کے آخر میں وہ اپنے کام کے معمولات اور کچھ ذاتی تجربات بھی شیئر کرتے ہیں۔

Transcription

3610 Words, 18127 Characters

Urdu
ھالو ایسٹانی ہے؟ ھالو ایسٹانی ہے؟ ھالو ایسٹانی ہے؟ ھالو ایسٹانی ہے؟ ھاں سکی بورت ہوگے, وانی امیتانگہ میں اس کو گف کریں ایمانسکر ٹیم پنی سبے ایتمیں انڈیستان پر انڈیستان سکی رہنے کریں گے. وانی اس پر سیزے ایمانسکلے ایرورٹ ریسٹ پیپور ہوا کریں گے. وانیہ ہوا کہ وہ جو ایمانسی ہوا کریں گے. وانی اس پیپور سکی سماندیت ہوگی وانی ایلیستان پر ایسٹ پیپور ہوا کریں گے. وانی اس پیپور ہوا کریں گے. wich is pyramid what I guess it's it's built Wenne til Incorangarika and Mule presente Summer table beat beat. beat. beat. beat. beat. beat. beat. beat. unpredictable as a work time 它的存å值 ensure, 這項一番、 流行á rémonition (歷史訟課) (歷史訟課) (歷史訟課) (歷史訟課) (歷史訟課) (歷史訟課) (歷史訟課) (歷史訟課). ANITHAD elector час 2 aft b제로 beginning "How do you manage a summer time on eating old days. желwant to give me free time to run here. How do you manage all this gives yes hopefully 3 stars when you have x-3 stars after 5 m hi I don't complete the thing I am a boss boss so eventually you figure it out one of my birthday jadai yes I am a boss so you did your thing with your video around? a day in a life in a hundred years so what does your everyday looks like? you know you are academic, you are a project building and all the things that you are doing right now what is your very general response? what do you do in everyday one? I don't know what you are doing sorry sorry so I don't think you use this code not ragasam so you are doing a lot of things for me so what does it typically look like one? on a school day it is like 80s pm 0 sorry am 0 would so and it sort of school is a school example and then I return back at like 4 ish on it is worth see I have never really gotten this question it is just a person so also only alka fresh also only this which I get on laptop only alka biannathir Ali catch up guy on son the voice which the world is going on air kids all that so k-mails i this this this this this this is all that so one and then I try to sort of catch up to good armadana just the banner key really interest your S1 you are really to good arm Ali dipped madana success and then if that's done I'll sort of as I already said more flow some days and so on so there is nothing like specific so I will call him a code me or so I will call it there are some days there is a balance soon so right outdo is activity and code and so on and then there are some days {\an1}i`atsurai {\an1}jiratsurai {\an1}i`atsurai {\an1}i`atsurai {\an1}i`atsurai {\an1}i`atsurai the government's adoption. They might be open, historic and tech-coli, which is a very important project. Do you think there is a little bit of the chance that these government might give that up? I think I'm not really that tough about optimistic in a sense that oily government desperately needs a technical win or sort of political win over the, general citizens. So I think they promised a lot before election and now they are sort of in my opinion, they are sort of struggling to, struggling the Kri one day at the administration, I go there either was enough. But I think they need that to win, to sort of, to have no dominions, maintain, go around and say. So I think in that case, people will be very open to and this Tukura Armachi open Munikura as it so. But it's that, I think Nepal, I say, sorry government, what they have done is they have sort of theorized a lot of buzzwords rather than sort of talking to people who are actually doing it. So, I would example you get into Nakhir, there is a lab called Siege. I'm not sure if I'm pronouncing it right. They are like massive, like the Kaurar research, lab work at the university. Wow, you are saying. And then they are doing massive stuff. I think they are releasing their own thinking model and stuff like that. And things like that don't really get pushed by media and stuff and government. They say it is to initiative saying Nikalya's final sort of pull them. And then they are, let's say, the companies that sort of. You might be aware of this. And there are people who are getting like 50 to 200 K USD like credits of cloud. And then they promised like towards the most of the world. And AI, one, we are sort of building AI. But they are sort of output is just a vibe coded vibe coded. AI chatbot that like can't even properly function. And they are actually pushed by the. Sorry, they are actually pushed. Rather than the people actually doing it. So it's like we are following hype rather than depth. All right, so. They don't have enough. Manseh, I can see this current government is aware. Technical even. They are will. They are going to be able to do it. So this current government is aware. Technical even. They are well informed. Still, I don't think. It is some of the best knowledge. I'm sure they are. Representing. KG. I was able to. Yes. I know. Also. And this. Let's be. You just the. I don't know. I don't know. I don't know. Yeah. What is involved is that realistic approach. You just. You just. You just. What is the. What is the. What is the. If they were to. Like I mean take is this to feel like. You can just build it on the. On a mills. Instead of saying I mean. Bono some. They could have just. Initially, say. I mean. They could have. I mean. We are talking about government. So government let easily. Experts are aware of. We can sort of. To buy them. They know. One day could have just. Done stuff and. This could be a paper. So running on the milk. Right. How are they doing it on. K. So just a bit in a minute. Then just speaking about it. Take my say. You don't really need to speak about it. Your work will speak for you. Just like. So. On it. On it. This is our plan. This is what they thought. All you got did you want. You know what I should. Right. Try to. So. That might not be a realistic. It was a buzzword. Just take it. So someone what do you think. We were also talking about. A. A. So first one thing like what do you think about. A. Safety. Where are we currently right now. You know. I'm going to. So. About the information. And. Technology class. What do you think what you see. The. I just. Nepal. Do. Well. I don't. So. I mean. A. Safety. I'm. Nepal. I'm. Nepal. I'm. I'm. I'm. I'm. I don't. I don't. I don't. I think. I don't. I don't. I think. I don't. I'm. I don't. I'm. I don't. I think. They are also so. ھوڑے لے گرگرہ بھانے رہتے ہیں ھوڑے لے گرگرہ بھانے رہتے ہیں ھوڑے لے گرگرہ بھانے ہیں ھوڑے لے گرگرہ بھانے گرگرہ بھانے ھوڑے لے گرگرہ بھانے ھوڑے لے گرگرہ بھانے ھوڑے لے گرگرہ بھانے ھوڑے لے گرگرہ بھانے رہتے ہیں ھوڑے لے گرگرہ بھانے ھوڑے لے گرگرہ بھانے ھوڑے لے گرگرہ بھانے ھوڑے لے گرگرہ بھانے ھوڑے لے گرگہ بھانے ھوڑے لے گرگہ بھانے ھوڑے لے گرگہ بھانے ھوڑے لے گرگہ بھانے ھوڑے لے گرگرہ بھانے ھوڑے لے گرگہ بھانے ھوڑے لے گرگرہ بھانے ھوڑے لے گرگرہ بھانے ھوڑے لے گرگرہ بھانے ھوڑے لے گرگرہ بھانے ھوڑے لے گرگہ بھانے ھوڑے لے گرگرہ بھانے ھوڑے لے گرگرہ بھانے ھوڑے لے گرگہ بھانے ھوڑے لے گرگہ بھانے ھوڑے لے گرگہ بھانے ھوڑے لے گرگہ بھانے ھوڑے لے گرگہ ھوڑے لے گرگہ بھانے ھوڑے لے گرگہ ھوڑے لے گرگہ بھانے ھوڑے لے گرگہ بھانے ھوڑے لے گرگہ بھانے ھوڑے لے گرگہ بھانے ھوڑے لے گرگہ بھانے ھوڑے لے گرگہ ھوڑے لے گرگہ ھوڑے لے گرگہ بھانے ھوڑے لے گرگہ بھانے ھوڑے لے گرگہ بھانے Challengers FOUNDER PRODI對對 muchísے گوہٹمیں پوپیلیشنز رہی دیں میں طول امریکٹ اور وہ اسی میک میں اینکی فرنرگلے باندت ہے, اینے اینے اونے اٹیک کے ایوڑہ رامر کرا اسی کی طریب ہی پر ہوا نہیں ہوا دیں, کہگو نہیں ہوا دیں, اینٹرنت وڑہ جتا پوسریگہ نہیں بیٹکے جتا تھا تھی گئی دیالزتے ایوڑہ برمیں, degrees kimi m 체 p e ez naz r ne multiplier cyn ultimately leber arbitrage line capitalise leber arbitrage leber arbitrage leber arbitrage difference capitalise capitalise capitalise capitalise founder if you were to expand would you consider me or or maybe China growing superpower or would you maybe consider j-zati tromp perni r-anwar war war war or do you disagree with what do you think about this what do you think about this it depends what do you think about this it depends on what do you think about this reason i don't really go into India then i would have to divert to go into Sri Lanka or Bangladesh so it's due to my product or on my reason but then there are products that continue to matter it's like you just sip it you don't really have to figure out this one you just have to figure out the industry and that's one thing that i really really love out it's really decentralized so you can build anything for anyone anywhere from the world for anyone in the world so i think that's if you talk about business side business you have massive market rather than focusing in one country if your product is focused on industry rather than country then you should aim out for entire global rather than just I think that's the case really product matter versus side so as you said you are saying EV if we produce EV we don't really have China and we can really really lift the market and we don't have to figure out the reason i think hopefully we will get PR so if everything goes I think PR will be the first thing you will do and the market eventually you need some money so we have to eat so we have to eat so we have to eat the very end so i would like to add the money is a first date and then you will have to eat and then you will have to work and then you will have to work and then you will have to work and then you will have to work ھا grants to me asan ھاvantages ھا which company. See that who anything 10 reading Vigil Bull yo and don't starts to connect Then set up in touch which are So just to money under me and then you will sort of I think sorry to don't mix say you know what's the main term at the wire on the main term mean to use a way you you need to sort of grow on your own down on your own and mentally I was a classic in the so it's like bad answer you know what's So the first no matter what I'm so that guy has already made the mistake so we don't want to repeat that you know Okay, that's not so easy to do that. So I was like only always I'm gonna say So last question on us. I think we are around uh, right over time. I think there are time for you have to your things to do. So I'm always for them on life. You have attended works of all the money no one is in the end of the world. Just as a time of flutter go up. So this will be one time long flutter into our end is just on my own box of bar. I'm not paid three month or a month or two. It's just publicity might be like you know what I felt even like three month earlier. Totally time wasted. Zero regular. 100% time wasted. So what do you deal over there? I've been in that place more than ever in there. Uh, I've never attended works of because I knew very beginning to it was bullshit here. So what is my I mean, it's a scam basically. I know any basic things like you YouTube, you know, you know, I'm so sorry. Fireship videos and it's like fireship video. I said to one doesn't much. It's very when it's the same content. So you can just a much better one is in his hands. That is what I think. So it's very, very like useless model. I know because it's a way. They can just go to the official documentation. Like you said flutter. Right. Flutter. I can't. I mean, I'm a documentation or fluttered in flutter. I mean, it's by the. They just really have the language. For the people who want to learn it. Like any lesson to have a so there is no one who can teach you better than fluttered themselves right? So I think that is the most effective way. Rather than your works of works of like the most shitty like some other. This is my right. So I need to do some time with the same thing. ھاہلی کھوڑھ گرے گا رسے ہے ھاہلی کھوڑھ گرے گا رسے ہے ھاہلی کھوڑھ گرے گا رسے گا ھاہلی کھوڑھ گرے گا ھاہلی کھوڑھ گرے گا ھاہلی کھوڑھ گرے ھاہلی کھوڑھ گرے ھاہلی کھوڑھ گرے ھاہلی کھوڑھ گرے ھاہلی کھوڑھ ھاہلی کھوڑھ ھاہلی ھاہلی ھاہلی کھوڑھ گرے گا رسے گرے گا رہے گا ھاہلی کھوڑھ گرے گا رہے گا ھاہلی کھوڑھ گرے گا ھاہلی کھوڑھ گرے گا ھاہلی کھوڑھ گرے گا ھاہلی کھوڑھ گرے گا ھاہلی کھوڑھ گرے گا ھاہلی کھوڑھ گرے گا رہے گا ھاہلی کھوڑھ گرے گا ھاہلی کھوڑھ گرے گا ھاہلی کھوڑھ گرے گا ھاہلی کھوڑھ گرے گا ermwarach specITE nakid tibetan. tibetan. tibetan. tibetan. tibetan. tibetan. tibetan. tibetan. it rather than basically i And then this to develop with the other day we sort of reach the point where we thought if like AI the sub-bit decision got it as a in a AI is like essentially running everything your company everything. So why shouldn't it be able to sort of communicate with other agent and sort of conduct real transactions between them. So what the idea was if you have a agent that basically sells let's say Ditaru, Sripgarh Gu Ditaru and then there is a or go agent that basically sends cold emails. So the idea being a June agent, they cold emails in Gorsa. So that agent should be able to contact or go the scraping agent and they could sort of transact real money what does it transaction gauri. They could run this as an economic. So to be to be defined as an economic will basically mean the economic transaction between multiple agents or multiple agents or like individual agents. It was the idea champion by Google. So they basically launched it like framework called A to A, is into agents payments. So how it works basically is agents, what are the profile looms are like we humans do is in scope and you have to sort of profile looms. So the profile must be it basically mentions everything related to like K. Tamgaut, Sarkathi and Prysmagaut. It sort of mentions everything. Any or co agent is in to agent profile to discover one is okay. It's called a AP to so is in profile transit the agent profile. Once the Lizing it is another idea that is that was champion by Google itself. Only to do it like form where they are saying they theorized that we could do this is in the economy. I think they did you that test where agents would run I mean their businesses themselves. I think 20 late 2025. I think this stuff and then I thought it's to I mean Nepal money gone amilsa right Nepal money market I mean market so the one mill then but it's so gone amilsa. So implement it. I developed this idea. PR one air as a and then this was the is ready wise I guess I got into that need this. So this was the sort of got into this and that is what basically developed into is into is in payment. So I think it's good projection say I saw a study. I think it's good is in to is in market market was a it would reach 35 billion in like 20 30 30 some of the 35 billion because a market do so one is a semi-divirassist and I think we are very very few labs in that entire of Asia that is actually pushing towards is in to is in payments. So yeah that is the core idea that if an AI runs your business why shouldn't it be able to sort of sort of transact for you and sort of sort of like manage your entire thing like inventory or do to serve you. And is going to support you one a concept was there and school limitation was that limitation one Japanese before before Google introduced in their protocol the issue being that is in school saying agents later they are stateless as I already said I know how could like how can we make sure that there is a intent. In the in one case I'm later colleague or you want to know me Santa colleague or you can agree one in to the center but I go to the center there is no intent. For example I will bank account use the right to the right to the right to the right. There would be no one to be held accountable to your payment group or I must say so there is something called intent mandate that basically means. So it's like mandate is basically what a cryptographic block just design it sort of it sort of helps the agent to be held accountable and then there is something called mandate card mandate card much we can insert information like. So it is sort of spent on a meal so it is spent on a meal so that you can sort of spend your money one is a we can sort of insert that inside the AI's memory or state and then it will sort of they submit a cost of spending on it and spending on it. So that's kind of can just to the account they will say that you initiated this one is a one of the one is a they developed it's called intent and the intent was to go to the if you if you look at oil echo oil echo like transaction how transaction are happening it's very human syndicate AI call like is a uta uta uta uta rails sign up for AI to operate our payment. I'm saying Kina ki you Kina ki payments were always meant for the humans different meant for agents so there are things like capture on the pins or wounds so that is sort of bottleneck for you that is sort of bottleneck for agents and agent payment so the main goal is sort of trying to kill that friction and make it as simple as possible for here it to just hit out a API call and just pay it I know that is the main challenge I think in is in two is in payment and as you as we already discussed adoption group that the money I live. interesting you plot board go to the social network but you know yeah and you more support. Sorry. A cloud board when you go to open. And you are in the human exam and say that I'm going to say I need to say go for your grandma. I mean you know the area of a what if I agent so the key to the physical. And you know the way. So I say let's make them do some stuff on your life. So you know the novel now you're scientifically searched on that money didn't require human in the looks of the money. Okay so I think it is one day go that was my last question thank you so much you months like thank you so much. This amazing podcast and like I said already we'll have we'll we'll love to have you back few months. You would be very very happy to honor you up to the drama like you say. And I think it's kind of amazing just like so. And I guess learning a funny this year you know when you were just like so it's kind of amazing so thank you so much you're already doing so well and I hope you do even better. So this ceiling money for as a bottom of the math years one that you can see the nose but you want to play like I'm a garden so it you want to go that I think I'm a wrap up. So take care so we don't have to listen to the line and you didn't do a man's rule anymore so much. You're podcasting and I'm up for some bye.

Podcast Summary

Key Points:

  1. گفتگو کا مرکز مصنوعی ذہانت (AI) کے ایجنٹوں کے درمیان مالی لین دین (Agent-to-Agent Payments) پر ہے۔
  2. گوگل کے A2A (Agent-to-Agent) پروٹوکول کا ذکر کیا گیا ہے، جس کے تحت AI ایجنٹ ایک دوسرے کے ساتھ خود مختار طور پر لین دین کر سکتے ہیں۔
  3. اس نظام میں "انٹینٹ مینڈیٹ" (Intent Mandate) کا تصور اہم ہے، جو ایجنٹ کو لین دین کے لیے جوابدہ بناتا ہے اور انسانی مداخلت کی ضرورت کو ختم کرتا ہے۔
  4. موجودہ ادائیگی کے نظام (جیسے PIN اور OTP) انسانی استعمال کے لیے بنائے گئے ہیں، جو AI ایجنٹوں کے لیے رکاوٹ ہیں۔ اس رکاوٹ کو دور کرنا ایک بڑا چیلنج ہے۔
  5. اس ٹیکنالوجی کی مارکیٹ 2030 تک 35 بلین ڈالر تک پہنچنے کی پیش گوئی کی گئی ہے، اور ایشیا میں بہت کم لیبز اس سمت میں کام کر رہی ہیں۔

Summary:

یہ ٹرانسکرپشن ایک پوڈ کاسٹ یا انٹرویو کا حصہ ہے جس میں ایک ماہر مصنوعی ذہانت (AI) اور ایجنٹوں کے درمیان ادائیگیوں کے نظام پر گفتگو کر رہے ہیں۔ وہ بتاتے ہیں کہ جب AI کسی کاروبار کا انتظام سنبھال لے تو اسے دوسرے AI ایجنٹوں کے ساتھ خود بخود لین دین کرنے کے قابل ہونا چاہیے۔ اس خیال کو گوگل نے اپنے A2A (Agent-to-Agent) فریم ورک کے ذریعے فروغ دیا ہے۔ اس نظام میں ایک بڑی رکاوٹ یہ ہے کہ موجودہ ادائیگی کے طریقے (جیسے PIN اور OTP) انسانی استعمال کے لیے بنائے گئے ہیں، جبکہ AI ایجنٹوں کو ایک سادہ API کال کے ذریعے ادائیگی کرنے کی ضرورت ہے۔ اس مسئلے کو حل کرنے کے لیے "انٹینٹ مینڈیٹ" جیسے تصورات متعارف کرائے گئے ہیں، جو ایجنٹ کو لین دین کے لیے جوابدہ بناتے ہیں اور انسانی مداخلت کی ضرورت کو ختم کرتے ہیں۔ ماہر کا خیال ہے کہ یہ ٹیکنالوجی مستقبل قریب میں بہت اہم ہوگی اور اس کی مارکیٹ 2030 تک 35 بلین ڈالر تک پہنچ سکتی ہے، لیکن اس وقت ایشیا میں بہت کم لوگ اس پر کام کر رہے ہیں۔ گفتگو کے آخر میں وہ اپنے کام کے معمولات اور کچھ ذاتی تجربات بھی شیئر کرتے ہیں۔

FAQs

یہ نظام ایک ایجنٹ کو دوسرے ایجنٹ سے حقیقی رقم کی منتقلی کرنے کی اجازت دیتا ہے، جیسے کہ ایک ایجنٹ ای میل بھیجتا ہے اور دوسرا ڈیٹا اکٹھا کرتا ہے، اور یہ لین دین خودکار طریقے سے ہوتا ہے۔

انٹینٹ مینڈیٹ ایک کرپٹوگرافک بلاک ہے جو ایجنٹ کو لین دین کے لیے جوابدہ بناتا ہے اور اس میں خرچ کی گئی رقم کی معلومات محفوظ ہوتی ہیں۔

نہیں، موجودہ نظام انسانوں کے لیے بنائے گئے ہیں اور ان میں پن کوڈ یا کیپچا جیسی رکاوٹیں ہیں، جبکہ AI ایجنٹس کو صرف ایک API کال کے ذریعے ادائیگی کرنے کی ضرورت ہے۔

حکومت بہت سے بزورڈز پر زور دیتی ہے لیکن اصل میں کام کرنے والوں سے بات نہیں کرتی، جیسے کہ وہ بڑے تحقیقی لیبز کو نظر انداز کرتی ہے اور صرف ہائپ کی پیروی کرتی ہے۔

یہ زیادہ تر بیکار ہوتے ہیں کیونکہ ان میں وہی مواد ہوتا ہے جو یوٹیوب یا سرکاری دستاویزات پر مفت ملتا ہے، اس لیے بہتر ہے کہ خود دستاویزات پڑھیں۔

نیپال میں AI سیفٹی پر بہت کم کام ہوا ہے اور اس حوالے سے کوئی واضح پالیسی یا اقدامات نہیں ہیں۔

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