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సమస్య నుంచి పరిష్కారం దిశగా యువకుడి ప్రయాణం - మ్యాడ్ సైంటిస్ట్ సక్సెస్ స్టోరీ ఇదే!
ETVBHARAT
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6/12/2025
మ్యాడ్సైంటిస్ట్ సీఈఓ భాను కిరణ్తో చిట్చాట్ - ఏఐ సోషల్ నెట్వర్క్ ప్లాట్ఫారం మ్యాడ్సైంటిస్ట్ - ముగ్గురు స్నేహితులతో కలిసి ప్రారంభించిన భాను కిరణ్ - కచ్చితమైన సమాచారాన్ని అందిస్తున్న మ్యాడ్సైంటిస్ట్
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Transcript
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00:00
I'm looking at the Internet in the future.
00:08
I also have this technology.
00:12
I have also developed a platform on the Internet.
00:17
I have also developed these platforms in the future.
00:22
The question is that MadScientist is a start-up and a start-up.
00:29
The question is that MadScientist has a different platform.
00:32
The internet has a different platform.
00:35
The MadScientist CEO of Banu Kiran Manta.
00:39
Now you are a MadScientist.
00:42
What do you want to develop?
00:46
MadScientist is an AI social network platform.
00:49
The information in technology is developed every one hour.
00:54
The AI agent uses a technology.
00:58
Real-time information synthesis and concept.
01:03
The information in the internet provides information every one hour.
01:11
Especially when the technology changes in the days.
01:15
When the technology changes in the days.
01:19
A lot of people can improve their knowledge.
01:23
A lot of people can improve their knowledge.
01:25
A lot of people can improve their knowledge.
01:27
In that place, our MadScientist platform.
01:30
The AI agent is a lot of help.
01:32
The AI agent will start in 2022.
01:35
The major reason is that we have a satellite in college.
01:40
We have faced one of the biggest problems.
01:44
What is access to research information?
01:46
The research information has a lot of problems.
01:51
The information helps to learn more.
01:52
Without much access information from our videos,
01:54
you want to build the online information.
01:56
Then you can use any problem.
01:57
Even if you want to face any problem,
02:01
like, you can use any problem.
02:02
To solve your knowledge or solution,
02:03
you can start your math and software.
02:06
You have different technical projects.
02:08
Especially for robotics,
02:11
as well as robotics and space technology.
02:13
We built a small satellite in space technology.
02:17
We wanted to continue to build a start-up in space in space.
02:25
That's in 2020.
02:27
When COVID-19 happened, we didn't have anything else to do.
02:33
We had a mentorship and a collaboration team,
02:37
a community, a technology community.
02:41
We wanted to do better things.
02:43
We wanted to have funds for space companies,
02:47
we wanted to have mentorship,
02:49
we wanted to have a lot of information.
02:52
We wanted to work in college after a while.
02:55
There are some reasons.
02:57
There are some reasons.
03:00
We wanted to do something.
03:02
We wanted to do something.
03:04
We wanted to do something.
03:09
One of my thoughts is,
03:12
technology grows a lot.
03:14
In India, the start-up ecosystem grows a lot.
03:19
If we do something,
03:20
we could build a great company.
03:24
A small idea is,
03:26
we can build a lot of ideas.
03:27
We wanted to do something.
03:28
We could have developed,
03:29
we could have made any problems.
03:30
In the previous start-up system.
03:31
We have made any mistakes.
03:33
We could have made any mistakes.
03:35
We could have made a solution to it.
03:37
We could go back to our idea and find a solution.
03:40
We could have made any mistakes.
03:41
It was done with the start-up team.
03:42
For you,
03:43
of what you are doing in the mad scientist,
03:44
you know,
03:45
trying to fix everything.
03:46
Because
03:47
you have to be stuck with blocks,
03:49
I think there are also hurdles.
03:51
When you start to start, you have to face the hurdles.
03:57
At this stage, you have to build the space technology.
04:03
You have to use hardware.
04:06
You have to build the software and software products.
04:09
So, you have to build the software systems and software systems.
04:15
You have to build the software.
04:19
So, in just 8 months, you have to build our own product.
04:24
You have to launch the first version in 2023.
04:28
But, you have to grow.
04:30
Then, you have to support your support.
04:35
So, you have to reach the T-Hub.
04:37
So, you have to support your T-Hub.
04:41
You have to support your startup growth.
04:45
You have to provide help.
04:47
Then, you have to join the rubrics program.
04:50
So, you have to join the program.
04:52
You have to build a mentorship program.
04:54
You have to build your products.
04:56
You have to grow.
04:57
You have to grow.
04:58
You have to build a market.
04:59
You have to build different concepts.
05:02
And, after that, we will launch the second version.
05:10
We will launch the second version.
05:11
Again, we will launch a lot of people's product.
05:13
So, since the product was very popular.
05:18
And people started reaching out to us.
05:22
The problem statement is similar to what they use.
05:32
What kind of information do you have to do in Google?
05:36
There are a lot of search engines and a lot of platforms.
05:39
I know that the mad scientist is different.
05:42
What kind of information do you have to do in Google search engines?
05:48
What kind of information do you have to do in Google search engines?
05:53
This is a large language model.
05:55
We try to train a lot of data on what you have to access the information.
06:01
If you ask questions and answer answers.
06:05
As a matter of fact, the mad scientist is an AI agent.
06:09
The LLM is a large language model for a major question.
06:14
The AI agent is a particular task in a particular industry.
06:18
In-depth knowledge and a particular task.
06:24
So, research information.
06:27
In a different countries, researchers, scientists, engineers.
06:32
They publish research papers.
06:35
They publish researches.
06:36
Instead, the BITA has developed a lot of different companies.
06:40
They also have to learn about launch about Google.
06:44
They have to learn about OpenAI Chargers.
06:46
They are audiences and that they have to learn about different companies.
06:48
This includes the different industries related to the industry.
06:52
A lot of information is also available.
06:54
This is why people have knowledge about technology.
06:58
There are various people who are doing projects and are available to them
07:03
So, we will try to enhance their income
07:07
You know, you have to gather information
07:10
You have to do research, you have to do technical work
07:15
You have to do a lot of students and students
07:20
You have to do a lot of research
07:23
You have to do a lot of research
07:28
So, what do you want to do is, what you want to do is
07:31
The technology advancements that you are currently working
07:35
You have to do a lot of fear
07:41
You have to do a lot of fear
07:46
So, this technology information is accessible to everyone
07:51
You have to do a small concept
07:53
You have to do a mission
07:55
Technology should be accessible for everyone
07:58
That is a concept
08:00
Almost, there is an interest in technology
08:03
You have a college professor
08:05
You have different information
08:07
You have a college student
08:09
You have different information
08:10
You have a researcher
08:11
You have in-depth information
08:13
You have to do information
08:14
You have to do a lot of research
08:16
Do a small concept
08:17
You have to do information
08:18
You have to work with the student
08:19
You need to provide information
08:20
You have to provide information
08:22
Even you have a school student, international school students, 8th class, 9th class students
08:30
So, you have to understand, you have to understand this information, you have to understand this
08:36
And you have to reach out
08:38
Credibility, this is an AI agent, a math scientist, information aggregation, a RIS agent
08:48
So, this is an AI agent
08:50
You can define a Meme in the Internet
08:53
If you look at a search engine in the chat
08:58
If you ask a question, you can get information from a relevant source
09:03
Those sources are correct or wrong, there are wrong information
09:07
But you have to understand, you have to understand, you have to understand, you have to understand, you have to understand
09:15
So, you have to define a majority of sources
09:18
And from those sources, you have to understand the information that you have built
09:23
And you have to understand the conditions of the algorithm
09:26
So, the AI agent, you have to fetch the sources of information
09:31
Then, you have to filter it, you have to check it correctly, wrong, right
09:37
Then, you have to summarize it, you have to provide information in the way that you have to understand
09:43
Now, I am here, I have to try to understand the knowledge of data
09:45
I am here, now, this is an AI agent
09:47
I am here, I am here
09:49
I am here, I am here
09:50
I am here, I am here
09:52
I am there, this is an AI agent
09:54
I am here
09:55
I am here
09:57
I am here
09:59
I am here
10:01
I am here
10:02
I am here
10:04
So they have to provide information
10:06
A mad scientist, your name is a company. Why do you choose a different name?
10:11
If you choose a different name, then you choose a different name. Why do you choose a different name?
10:16
In technology, people have a lot of interest in science as a cartoon character.
10:24
So, the name of the meme is a fictional character.
10:28
That is a cartoon character.
10:31
But it is also a cartoon. If you choose one of the most involved in a technical field,
10:39
then you have a little bit of a mad scientist.
10:45
So, if you choose a meme, then you have a little bit of a build.
10:50
If you choose one of them, then you are also very creative people.
10:53
Every one of them is a mad scientist.
10:55
That is what you do.
10:57
That is what you do.
11:00
What is your team?
11:01
That is what you do with your friends.
11:05
How do you share the work with your team?
11:08
You are a triple AIT boss and I am in Gurunana College.
11:11
You are in 2020 passed out.
11:14
So, my co-founder is Srinivas Silvayar.
11:16
He wants to design, marketing, front-end development.
11:22
You have to design, front-end development and critical product-related decisions.
11:27
So, I am in Gurunana College.
11:30
So, my co-founder is Banu Prasad.
11:33
He wants to teach you about the triple AIT boss.
11:36
So, he has a computer science background.
11:39
So, I am interested in creating technical products.
11:42
So, I am interested in technology.
11:43
So, I am interested in front-end, back-end, cloud, AI development.
11:48
So, you are interested in product design.
11:50
You are a marketing, you are fundraising.
11:53
So, I am interested in creating major decisions.
11:56
So, we are interested in creating the product roadmap.
11:59
So, we are interested in creating critical decisions.
12:01
So, we will split these three of us.
12:04
And we also have other team people,
12:06
who will work with us and do all these.
12:09
Now, we are already in designing and development.
12:12
How do you make things that you are doing and how do you do it?
12:14
I want to try to make feedback.
12:16
So, I want to try to develop your business.
12:18
How do you make any ideas that you are planning,
12:21
So we are planning for the next 5 years, next 2 years, next 5 years, next 10 years
12:28
So the next 5 years we are going to build a curious intelligence
12:35
What is your curious intelligence?
12:37
Who is a technical person?
12:40
Who is building a product or innovation?
12:43
Who works in a small R&D company?
12:48
What is quantum computing?
12:50
What is space technology?
12:52
Who is an assistant?
12:54
One researcher, one scientist
12:58
One co-scientist, co-researcher
13:00
One AI model, one co-researcher, one co-scientist
13:03
When they improve their work
13:06
We are going to build a roadmap
13:10
So we call it curious intelligence
13:12
So a human has a lot of curiosity
13:16
What is the next TNT?
13:18
That curiosity
13:20
You have a human's element
13:22
And next
13:24
You have a deep knowledge
13:26
You have a particular technology
13:28
You have a model
13:30
You have to know who is R&D companies
13:32
Who is building a company
13:34
You have to know that
13:36
Let's say we have an idea
13:38
You have to know who is R&D companies
13:40
So it is a very important thing
13:42
You have to know who is R&D companies
13:44
You have to know who is R&D companies
13:46
So the question is
13:48
A to Z
13:50
Like you have to know who is R&D
13:52
You have to know who is R&D companies
13:54
And what is R&D companies
13:56
What is R&D companies
13:58
What is R&D companies
14:00
You have to know who is R&D companies
14:02
And a detailed report will be provided in depth
14:04
a knowledge-specific, in-depth report.
14:08
There are various models and various search engines currently.
14:12
There will be a separate technology-focused search engine.
14:17
So, we will do that in the next 5 years.
14:20
Thank you so much.
14:22
But what's the math scientist?
14:35
I've already told you,
14:38
if you like the student project,
14:42
the medical director of Mad Scientist CEO of Banukir.
14:44
From cameraman Kevira, Srikant, Tv. Sai Dharabar.
14:52
You
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ఫుట్బాల్ క్రీడాలో రాణిస్తున్న గిరిజన యువతి - ఆ పురస్కారం అందుకున్న తొలి క్రీడాకారిణిగా రికార్డు
ETVBHARAT
5/19/2025
