00:00There is a question about AI.
00:05Mr. Monish,
00:07AI is a summit of the impact of AI.
00:11The impact of AI is in Shetradar.
00:13Even in one another example.
00:14Judges.
00:16Humans are flawed.
00:17We have a lot of bias.
00:19We have a lot of bias.
00:21We have a lot of bias.
00:22We have a lot of bias.
00:23We have a lot of bias.
00:29We are going to report for social media.
00:31We have a full report.
00:33This data is used in about defect technology.
00:36This is the new way we operate.
00:39This is the AI.
00:40And political parties too.
00:43The people should regulate this.
00:45These people want to talk about this.
00:47One-party, either-one-party.
00:49The AI is even used in the AI.
00:51100%.
00:52For Amazon.
00:53You will need to talk about the recruitment of AI.
00:56We have reformed states.
00:58No one would select the end-marker.
01:00Oh, okay.
01:01There was a girl's school, a girl's college, it was biased.
01:04Yes.
01:05So, I don't know what to do.
01:07I don't know what to do.
01:08I don't know what to do.
01:09I don't know what to do.
01:10I don't know what to do.
01:14He is a PhD.
01:16He is a master graduate.
01:18He is a professor.
01:19I don't know what to do.
01:22Generative.
01:23Any tool should be trained first.
01:26Yes.
01:26My student asks for training,
01:28He does not know what to do.
01:30At the Olympics,
01:35there are many gold medals in the Paralympics.
01:38He doesn't know what to do.
01:40People get up to the road.
01:45They don't know what to do.
01:47He does not know the name of the beautiful actress.
01:51He doesn't know what to do.
01:53Racial discrimination
01:55That's it. That's what we can prove
01:57It is biased
01:59If the bias is not the same
02:01You must get in there
02:04You must get in there
02:05You have to train
02:05If you don't know
02:06If you don't know
02:10That will improve
02:12That will be massive data
02:14Yes
02:17It will improve
02:18It goes on improving
02:20So, biases are
02:22Naturally there
02:23What is the case?
02:25The case is true
02:27The case is the case
02:28When you have a nuclear reactor
02:32Any other case
02:36The case is right
02:37And the case is right
02:39The case is right
02:40The case is right
02:44It is built
02:44The case is not built
02:45It is not built
02:47It was a very difficult time to multiply.
02:54It was a very difficult time to multiply.
03:04It was a difficult time to multiply.
03:14If you have the internet, you need to be able to access the internet.
03:21If you have the internet, you need to be able to access the internet.
03:27You need to be able to protect the server.
03:31You need to be a hacker.
03:35Why is it a hacker?
03:37Because it has self learning capacity.
03:43I've used to be a hacker.
03:48You need to be able to access the server.
03:50You need to have a hacker.
03:54You can also use the hacker.
03:57You can also use the hacker.
04:01One of the reasons why this is an anthropic COO in recent years,
04:10a Nobel laureate has become AI models.
04:17That's why AI models have become AI models.
04:22That's why hackers have become a hacker.
04:25It is also a good thing.
04:27It is also a good thing.
04:32It is also a good thing.
04:35It is a good thing.
04:35I am going to support you.
04:37The International Mathematics Olympiad
04:39is a very important thing.
04:43There is a lot of time for these questions.
04:45We have to answer your questions.
04:48If you want to ask the gold medal,
04:52The question is, if you do one mark, the question is 5 marks in the next day.
05:00So, if you do other questions, you will answer questions every day.
05:04You can answer questions every week.
05:08In this, you will answer questions in 24 hours.
05:13You will answer questions every week.
05:15That's why we don't have to deal with it.
05:16Okay.
05:17The third time,
05:18we will ask all the questions.
05:29This is Asianet News Network Prasthuti.
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