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Artificial Intelligence (AI) is currently creating a sensation worldwide, bringing transformative changes to every stage of human life. While there is a fear on one hand that AI technology might displace human jobs, it is simultaneously paving the way for the development of new skills and the creation of vast employment opportunities. India is establishing its mark on the global stage through AI summits and is making significant strides toward becoming a "Vishwaguru" (Global Leader) in this artificial intelligence revolution. To explore how this monumental technological shift will decide the world's future and impact the economy, join this intriguing discussion on Suvarna News Hour Special with host Ajit Hanamakkanavar, featuring science writers Madhu Y.N. and Gururaj Davanagere.

Artificial Intelligence India | AI Job Market | Future Technology Trends | Impact of AI on Jobs | India global AI leader | Artificial Intelligence Trends 2026 | AI technology future Outlook | Job creation vs Automation | Global AI summit Insights | Suvarna News Hour Special | News Hour Special

ಕೃತಕ ಬುದ್ಧಿಮತ್ತೆ (AI) ಇಂದು ಜಗತ್ತಿನಾದ್ಯಂತ ಸಂಚಲನ ಮೂಡಿಸುತ್ತಿದ್ದು, ಮಾನವನ ಬದುಕಿನ ಪ್ರತಿ ಹಂತದಲ್ಲೂ ದೊಡ್ಡ ಬದಲಾವಣೆ ತರುತ್ತಿದೆ. ಒಂದು ಕಡೆ ಎಐ ತಂತ್ರಜ್ಞಾನವು ಮನುಷ್ಯನ ಉದ್ಯೋಗಗಳನ್ನು ಕಸಿದುಕೊಳ್ಳಬಹುದು ಎಂಬ ಭೀತಿ ಎದುರಾಗಿದ್ದರೆ, ಮತ್ತೊಂದೆಡೆ ಇದು ಹೊಸ ಕೌಶಲ್ಯ ಹಾಗೂ ಅಪಾರ ಉದ್ಯೋಗಾವಕಾಶಗಳ ಸೃಷ್ಟಿಗೆ ನಾಂದಿ ಹಾಡುತ್ತಿದೆ. ಭಾರತವು ಎಐ ಸಮ್ಮಿಟ್‌ಗಳ ಮೂಲಕ ಜಾಗತಿಕ ಮಟ್ಟದಲ್ಲಿ ತನ್ನ ಛಾಪು ಮೂಡಿಸುತ್ತಿದ್ದು, ಕೃತಕ ಬುದ್ಧಿಮತ್ತೆಯ ಈ ಕ್ರಾಂತಿಯಲ್ಲಿ 'ವಿಶ್ವಗುರು' ಆಗುವತ್ತ ದಾಪುಗಾಲು ಹಾಕುತ್ತಿದೆ. ತಂತ್ರಜ್ಞಾನದ ಈ ಮಹತ್ತರ ಬದಲಾವಣೆಯು ಜಗತ್ತಿನ ಭವಿಷ್ಯವನ್ನು ಹೇಗೆ ನಿರ್ಧರಿಸಲಿದೆ ಮತ್ತು ಆರ್ಥಿಕತೆಯ ಮೇಲೆ ಯಾವ ರೀತಿ ಪ್ರಭಾವ ಬೀರಲಿದೆ ಎಂಬುದು ಕುತೂಹಲಕಾರಿ ಚರ್ಚೆ ಅಜಿತ್‌ ಹನಮಕ್ಕನವರ್‌ ಜೊತೆ ಮಧು ವೈ ಎನ್‌ ವಿಜ್ಞಾನ ಲೇಖಕರು, ಗುರುರಾಜ್‌ ದಾವಣಗೆರೆ ವಿಜ್ಞಾನ ಲೇಖಕರು ಸುವರ್ಣ ನ್ಯೂಸ್‌ ಅವರ್‌ ಸ್ಪೆಷಲ್‌ನಲ್ಲಿ.

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Transcript
00:00Artificial Intelligence is a very important topic in the news or special.
00:06Do you have any questions about this topic?
00:10Hello, my name is Nasir Navi Nanda.
00:14Artificial Intelligence is an advantage or disadvantage.
00:21In this case, when we use AI tools, we are free.
00:30We are free.
00:31We are free.
00:35We are free.
00:35We are free.
00:36We are free.
00:38We are free.
00:42We are free.
00:46More than the resources.
00:48Next to our company, we have paid and paid and paid.
00:56That is why people are poor and rich.
00:59Richer will be becoming richer and poor will be becoming poor.
01:02We have to occur in this case.
01:05If not, it will be a software that will be made available for us.
01:12What is the difference between digital divide?
01:16There is a lot of digital divide.
01:20If you have a lot of digital divide, you can't get rid of it.
01:24You can't get rid of it.
01:29You can't get rid of it.
01:32You can't get rid of it.
01:37There is a lot of digital divide.
01:45One thing is that you can't get rid of it.
01:52You can't get rid of it.
01:54You can't get rid of it.
01:56I don't think it's free.
02:02If we are not paying, someone else will be paying for it.
02:05You can't invest.
02:08You can't get rid of it.
02:10The government of India has made a lot of money.
02:14We have made a lot of money.
02:17We have made a lot of money.
02:19We have made a lot of money.
02:22You can't get rid of it.
02:25We have made a lot of money.
02:29You can't even invest.
02:31When we invest, there is a bubble.
02:32It's a chain of investment.
02:34There are some chipmards.
02:36LLM models.
02:37There are some startups.
02:39We are all about 100 years ago.
02:42There are some investments.
02:45Everyone is building.
02:48That's the full bubble.
02:50That's the problem.
02:50There are two bills.
02:53There are two bills.
02:55So, that's one thing.
02:59DUD is burn.
03:02Three bills are paid for tokens.
03:06Now, we don't have a bill.
03:09We don't have a subscription bill.
03:12They don't have a subscription bill.
03:12They don't have a subscription bill.
03:14They don't have a subscription bill.
03:15They don't have a subscription bill.
03:16They don't have a subscription bill.
03:22So, in the past,
03:28we can use it to be an application.
03:31We can use it to be an application.
03:34The application can use it to be an application.
03:40It is the one that can use it to be an application.
03:48It can't use it to be a condition.
03:53They will take advantage of the other phylogy.
03:55If you want to take advantage of the phylogy,
04:02you can take advantage of the phylogy.
04:04This would not be the only thing that we could take advantage of.
04:06As we can take advantage of the phylogy,
04:09it's the only thing that we can take advantage of.
04:11When AI has three years before,
04:16this job market is like a share market.
04:19It's volatile.
04:21It's unpredictable.
04:22It is predictable.
04:22If you want to see the news, I will tell you what I want to do.
04:30The first thing is that you are talking about tech companies.
04:36What is the CTO?
04:38You are talking about technology and you are talking about it.
04:42You are talking about the daily tools and models.
04:47You are talking about hands-on.
04:48It's an interesting fact that the LLM and AI models are going to talk to each other and they can
05:03invent their own language and they can talk to each other.
05:09And if it doesn't like one's opinion, it will be a Mars code.
05:14Thank you so much, Guru. Thank you very much.
05:17This is our special news.
05:19We will talk to you in the next video.
05:23This is the Asianet News Network.
05:25This is the Asianet News Network.
05:42This is the Asianet News Network.
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