Crazy Story of ChatGPT | How OpenAI’s AI Took Over Today - video Dailymotion

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The crazy story of OpenAI ChatGPT is nothing less than a tech revolution. From its secret beginnings to becoming the world’s most powerful AI tool, ChatGPT has changed how we work, study, and even live!   In this video, we break down the full journey of OpenAI’s ChatGPT — how it was created, the challenges, the shocking facts, and why it became an instant craze worldwide. 🌍   👉 Watch till the end to discover how AI is shaping our future and why ChatGPT is called the Google Killer by many!   ✨ Don’t forget to LIKE, SHARE & SUBSCRIBE for more amazing stories on technology, AI, and the future of innovation.   The Crazy Story of OpenAI ChatGPT  AI Revolution Explained in 2025   OpenAI ChatGPT Crazy Journey 🔥 | How It Took Over the World   OpenAI ChatGPT story, ChatGPT explained, ChatGPT history, ChatGPT documentary, AI story 2025, crazy story of OpenAI, ChatGPT explained in Hindi, ChatGPT OpenAI journey, ChatGPT success story, future of AI 2025, ChatGPT Story, OpenAI ChatGPT history, What is ChatGPT, Future of AI with ChatGPT, Crazy story of OpenAI    #ElonMusk #SamAltman #AIHistory #OpenAI #AIStory #ArtificialIntelligence #GPT4 #ChatGPT #ElonMusk #SamAltman #TechnologyRevolution #MachineLearning #GPT3 #OpenAIEvolution #AIInTheFuture #TechStory #AIHistory #DeepLearning #aimodels

Transcript

00:00OpenAI is the fastest-growing startup in history.

00:03An application called OpenAI.

00:06Chad GPT is now being emotional.

00:10The most highly valued private companies out there.

00:14But OpenAI's original mission was to be a non-profit

00:17and to be a safe artificial intelligence society.

00:21There will not be any ads, nor shareholders.

00:24They are working on public goods.

00:26After a while, OpenAI has billions of dollars

00:30in which companies have funded funding,

00:32and commercialized technology,

00:34such as humans and machines.

00:36This is the case of OpenAI,

00:39that the company started how to do it,

00:41and what decisions have done in their journey,

00:43and what impact of these decisions will be

00:45in the future of artificial intelligence.

00:47But all these things started a very simple question.

00:50Can machines think?

00:54In 1950, British mathematician Alan Turing

00:57had this foundational question in his influential paper

01:01on Computing Machinery and Intelligence.

01:03In many months, this paper and this question

01:06have created a groundwork

01:07about artificial intelligence field.

01:09A few years later,

01:10in 1956,

01:11in the Dartmouth Summer Research Project,

01:13some scientists have formulated

01:15the term of artificial intelligence

01:17and the term of artificial intelligence

01:19became an emerging field.

01:20After 1956,

01:21many people were very enthusiastic

01:22about artificial intelligence.

01:24In the 1960s,

01:26the ELISA programs were popular.

01:28ELISA was a natural language processing

01:30computer program

01:31which was made by MIT Joseph Weizenbaum.

01:34This program was the first chatbot

01:37but in the 1960s and the 70s,

01:40the excitement was fizzled out.

01:42People thought that artificial intelligence

01:44was a form of abstract intelligence

01:46which was abstract.

01:47Practically,

01:48what will it be used?

01:49I don't know.

01:50There is a turning point

01:51many years later.

01:52In 2012,

01:53when deep learning was popular.

01:55In 2012,

01:56Amazon and Google

01:57were used by machine learning

01:59to use recommendation engines

02:01and search algorithms.

02:03Siri,

02:04Alexa,

02:05and other digital assistants

02:06were the first sign

02:07to make AI

02:08coming to our world.

02:10But the biggest shift

02:11was coming.

02:12In 2012,

02:13Open AI was created

02:15and

02:16many powerful individuals

02:17were back.

02:18Elon Musk

02:19was one of the greatest entrepreneurs

02:21in our generation

02:22who built Tesla,

02:23SpaceX and Neural Link

02:24companies.

02:25Sam Altman

02:26was a former president

02:27of Y Combinator

02:28who was one of the most popular

02:30startup accelerators

02:31in Silicon Valley.

02:32Greg Brockman,

02:34former Stripe executive

02:35is a technology company

02:37which has made

02:38online payment processing

02:39in the world.

02:40Founders

02:41among other people

02:42attracted to Open AI

02:43vision

02:44that it is a non-profit

02:45organization

02:46which will be

02:47the main purpose

02:48to create

02:49safe artificial intelligence

02:50in society

02:51to create benefits.

02:52In 2015,

02:53they have clearly

02:54mentioned

02:55that Open AI

02:56is a non-profit

02:57artificial intelligence

02:58research company

02:59and specifically

03:00mentioned

03:01that their goal

03:02is to create advanced

03:03digital intelligence

03:04such as

03:05such as

03:06Humanity.

03:07Sam Altman

03:08and Elon Musk

03:09co-chair

03:10in Open AI

03:11and they have

03:12more donations

03:13from this non-profit

03:14from 1 billion dollars

03:15from other people.

03:16In April 2016,

03:17they released

03:18a free tool

03:19where computers

03:22can learn different things

03:23and try different things.

03:24Open AI

03:25had to share their benchmarks

03:26and tools

03:27with all the AI

03:28community

03:29to get benefit.

03:30In 2017,

03:31they have shown

03:32what their research

03:33is possible.

03:34They are such an AI agent

03:35that

03:36Dota 2

03:37is a complex video game

03:38master.

03:39Now,

03:40in the chest

03:41limited number of moves

03:42Dota 2

03:43is a such game

03:44where there are millions

03:45of possible actions

03:46every second.

03:47You can move

03:48or attack

03:49or use

03:50items

03:51or teleport

03:52in the chest.

03:53In Dota 2,

03:54there are new rules,

03:55heroes,

03:56and items changes

03:57so that AI

03:58can't stop

03:59and adapt

04:00to them

04:01as a real player.

04:02In August 2017,

04:03Open AI

04:04has shocked the

04:05gaming and tech community.

04:07The International

04:082017

04:09which is one of the biggest

04:10e-sports tournament

04:11is a high profile match

04:13between AI

04:14and Dendy

04:15which is a top

04:16Dota 2 player.

04:17In this match,

04:18AI has won.

04:19Okay,

04:20I give up.

04:21Are you giving up?

04:22I don't think

04:23I'm getting it back.

04:24But,

04:25training AI

04:26is very expensive

04:27and here

04:28Open AI

04:29has realized

04:30that their non-profit model

04:31is not suitable

04:32to their goals.

04:33They realized

04:34that in advanced AI

04:35breakthroughs

04:36they need

04:37very much

04:38computational resources.

04:39In 2017,

04:40they thought

04:41that they will

04:42get billions of dollars

04:43to get

04:44to advance

04:45artificial intelligence

04:46for the advanced

04:47intelligence.

04:48It suddenly realized

04:49that they are a high stakes

04:50AI arms race

04:51and if they have

04:52no money

04:53computer or training

04:54they will

04:55run

04:56to other tech companies.

04:57This is why

04:58a debate

04:59internally

05:00started

05:01that what is

05:02is

05:03Elon Musk

05:04also

05:05said

05:06that

05:07Open AI

05:08for-profit

05:09structure

05:10will

05:11adopt

05:12not

05:13Google

05:14from

05:15Google

05:16to

05:17Google.

05:18the

05:19company

05:20will

05:21become the

05:22company.

05:23But this compromise

05:24was not clear.

05:25Elon Musk

05:26offered a solution

05:27that why

05:28I will fully control open AI.

05:29Elon

05:30thought

05:31that he would have

05:32this

05:33is a

05:34individual

05:35and this

05:36is a turning point.

05:37Many

05:38leaders

05:39like Sam Altman,

05:40Ilya Sutskiver

05:41and Greg

05:42Brockman

05:43didn't accept this proposal.

05:45They believed

05:46that

05:47when open AI

05:48has

05:49a

05:50whole

05:51control

05:52will

05:53lose

05:54their vision

05:55lost.

05:56In 2018

05:57the power struggle

05:58was so

05:59that Elon

06:00was

06:01leaving

06:02open AI

06:03board.

06:04Tesla

06:05has

06:06developed

06:07self-driving cars

06:08launched

06:10a

06:11generative

06:12language

06:13model

06:14with

06:15117 million

06:16parameters.

06:17Parameters

06:18are small settings

06:19in AI's mind.

06:20The more parameters

06:21can be fine-tuned

06:22more.

06:23These parameters

06:24can be

06:25understood

06:26like grammar

06:27sentence structure

06:28and basic reasoning

06:29also.

06:30Imagine

06:31that

06:32a machine

06:33can be

06:34done.

06:35With technical successes

06:36open AI

06:37is

06:38post

06:39so

06:40the community

06:41knows

06:42how to research.

06:43As I mentioned,

06:44technology

06:45is one way

06:46and the mission

06:47was interesting

06:48because

06:49they said

06:50publicly

06:51will

06:52tell us

06:53in April

06:542018

06:55they say

06:56that

06:57the public

06:58pledge

06:59will

07:00follow

07:01the

07:02warning

07:03that

07:04in the future

07:05they

07:06won't

07:07openly

07:08discuss

07:09and

07:10it

07:11was

07:12the most controversial time

07:13in open AI

07:14history.

07:15February

07:162019

07:17was

07:18a

07:19unusual decision

07:20to

07:21develop

07:22because

07:23it was

07:24a good

07:25time

07:26to

07:27generate

07:28results

07:29that

07:30this

07:31tool

07:32could

07:33open AI

07:34has

07:35controversial

07:36decision

07:37that

07:38they will

07:39publicly

07:40release

07:41and

07:42release

07:43this

07:44model

07:45has

07:46124

07:47million

07:48parameters

07:49and

07:501.5

07:51billion

07:52parameters

07:53were

07:54released

07:55but

07:56the

07:57AI

07:58community

07:59has

08:00a standard

08:01of

08:02this

08:03controversy

08:04has

08:05thought

08:06that

08:07if

08:08they

08:09need

08:10funding

08:11to

08:12make

08:13an

08:14organization

08:15change

08:16Sam

08:17who

08:18was

08:19chairman

08:20and

08:21Y

08:22Combinator

08:23CEO

08:24and

08:25March

08:262019

08:27Open AI

08:28announced

08:29that

08:30Open AI

08:31limited

08:32partnership

08:33which will be

08:34for profit

08:35so

08:36open AI

08:37limited

08:38partnership

08:39which will be

08:40more

08:41profits

08:42but

08:43a catch

08:44which will be

08:45fixed

08:46which will be

08:47non-profit

08:48and

08:49non-profit

08:50use

08:51society

08:52benefit

08:53which will be

08:54control

08:55which will be

08:56non-profit

08:57board

08:58and all

08:59investors

09:00and employees

09:01will

09:02agree

09:03before

09:04join

09:05but

09:06if

09:07open AI

09:08profit

09:09will be

09:10two

09:11ways

09:12if

09:13you

09:14have

09:15a

09:16company

09:17to

09:18use

09:19API

09:20to

09:22use

09:23customer

09:24support

09:25questions

09:26answer

09:27to

09:28open AI

09:29for

09:30profit

09:31company

09:321 billion

09:33dollar

09:34investment

09:35from

09:36Microsoft

09:373

09:38years

09:39opened

09:40a

09:41billion

09:42company

09:43but

09:44Elon

09:45Musk

09:46February

09:472013

09:48has

09:50made

09:51a

09:52company

09:53basically

09:54Microsoft

09:55remote

09:56control

09:57one

09:58month

09:59sam

10:00altman

10:01has

10:02no

10:03board

10:04seat

10:05but

10:06Elon Musk

10:07and

10:08Sam

10:09Altman

10:10has

10:11many

10:12names

10:13including

10:14the

10:15government

10:16crisis

10:17has

10:18opened

10:19a

10:20non-profit

10:21board

10:22Sam

10:23Altman

10:24fired

10:25that

10:26Sam

10:27didn't

10:28do

10:29this

10:30decision

10:31from

10:32the

10:33company

10:34of

10:35company

10:36and

10:37Microsoft

10:38has

10:39basically

10:40Sam

10:41Altman

10:42hired

10:43which

10:44made

10:45decision

10:46to

10:47change

10:48Elon

10:49must

10:50be

10:51involved

10:52in

10:53February

10:542014

10:55and

10:56Sam

10:57Altman

10:58made

10:59case

11:00after

11:01Mark Zuckerberg

11:02made

11:03a letter

11:04written

11:05to

11:06California

11:07attorney

11:08general

11:09Sam

11:10Altman

11:11said

11:12if

11:13Open

11:14AI

11:15made

11:16some

11:17people

11:18will

11:19create

11:20charity

11:21and

11:22reject

11:23and

11:24told

11:25Elon Musk

11:26himself

11:27to

11:28make

11:29a

11:31email

11:32told

11:33Tesla

11:34is

11:35only

11:36which

11:37will

11:38compete

11:39eventually

11:40Elon

11:41must

11:42know

11:43and

11:44finally

11:45wrote

11:46that

11:47he

11:48said

11:49that

11:50hundreds

11:51of

11:52millions

11:53of

11:54millions

11:55of

11:56dollars

11:57in

11:58fact

11:59in

12:002025

12:01he

12:02almost

12:03$100

12:04billion

12:05offer

12:06to

12:07open

12:08AI

12:09actually

12:10but

12:11it

12:12changes

12:13in

12:142020

12:15Microsoft

12:16$1 billion

12:17investment

12:18which

12:19is

12:20advanced

12:21AI

12:22model

12:23which

12:24can

12:25imagine

12:26we can

12:27imagine

12:28can

12:29write

12:30and

12:31code

12:32simple

12:33instructions

12:34in

12:35social

12:36media

12:37gpt3

12:38use

12:39this

12:40is

12:41just

12:42beginning

12:43January

12:442021

12:45release

12:46DALI

12:47which

12:48you can

12:49create

12:50like

12:51herd

12:52of

12:53elephants

12:54flying

12:55in the

12:56blue

12:57skies

12:58DALI

12:59immediately

13:00DALI

13:01immediately

13:02DALI

13:03immediately

13:04DALI

13:05immediately

13:06DALI

13:07immediately

13:08DALI

13:09immediately

13:10DALI

13:11DALI

13:122

13:13which

13:14images

13:15are

13:16accurate

13:17in

13:18this

13:19controversy

13:20hallucination

13:21which means

13:22gpt3

13:23can

13:24confidently

13:25answer

13:26then

13:27November

13:282022

13:29defining

13:30moment

13:31open

13:32AI

13:33launch

13:34gpt3.5

13:35advanced

13:36model

13:37but

13:38it's not

13:39a model

13:40but

13:41a chatbot

13:42release

13:43suddenly

13:44every user

13:45can chat

13:46users

13:47shock

13:48in

13:49few days

13:5010,000,000,000

13:51people

13:52sign up

13:53and

13:54in

13:55one

13:56month

13:57chat

13:58gpt

13:5910,000,000,000

14:00people

14:01use

14:02chat

14:03gpt

14:0410,000,000

14:05people

14:06use

14:07this

14:08product

14:09after

14:10google

14:11like

14:12panic

14:13mode

14:14and

14:15release

14:16google

14:17unfortunately

14:18bard

14:19a

14:20public

14:21w

14:22market

14:23value

14:24majors

14:25bay

14:36into

14:37space

14:38We have taken photos of a planet outside of the planet, but this is actually another telescope.

14:44Chris Harrison, who is a researcher, also says that you don't have to share your example before sharing your example.

14:51Now, there is such a big arena, so there are many new players in this arena.

14:55There are many OpenAI researchers who make Anthropics,

14:58which will become the biggest competitor in the upcoming time.

15:02Here, OpenAI GPT-4 release, which is a multi-model model, which can be used by text and images.

15:08In this video launch, OpenAI's co-founder shows how they can make a rough sketch of a website,

15:14which can make GPT-4 a functioning website.

15:18Now, OpenAI's products are advancing, but inside it is not bad.

15:23OpenAI's leadership is asking many tough questions.

15:26OpenAI's co-founder, Mira Murati, created a startup called Thinking Machines Lab,

15:31which has billions of dollars of funding and competes with OpenAI.

15:36Illya, who has a very big contribution behind OpenAI,

15:40they make their own company.

15:42Safe Super Intelligence.

15:44And these startups are not the biggest technology companies,

15:46such as Tesla, Microsoft, or Google,

15:49they also make their own model investments.

15:52Now, when there is a debate about how openAI actually is open,

15:55they have launched their latest model, GPT-5.

15:58But it doesn't mean that OpenAI's competitors are not open.

16:01Google DeepMind is their own research.

16:03Elon Musk's ex-AI,

16:05they recruit their talent and publish their models.

16:08Mark Zuckerberg's meta has reportedly millions and billions of dollars

16:13offered the best researchers to recruit their best researches.

16:16Now, this is just about the US.

16:18China, too.

16:19In China, too.

16:20In China, too.

16:21In China, there are deep-seek models released,

16:23which have been released in many benchmarks,

16:25openAI and Google models.

16:27So, this is the race of AI.

16:29This is an existential race of many companies.

16:32So, Mark Zuckerberg is okay paying 100 million and even 1 billion dollars

16:37to the top AI researchers.

16:39Now, for most people,

16:40OpenAI currently is leading the race.

16:42But what will happen next?

16:43It depends if OpenAI is able to attract capital and talent.

16:47But most interestingly,

16:49it depends if OpenAI's original mission,

16:52they don't follow it.

16:54And that will decide,

16:55will society benefit from all the AI innovation taking place?

17:00may background Audacity

17:19We will talk about it.

17:24May audience

Crazy Story of ChatGPT | How OpenAI’s AI Took Over Today

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