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فسيلة - transplant
هي مكتبة رقمية تحتوي علي آلاف الفيديوهات العربية في جميع المجالات
It is a digital library containing thousands of Arabic videos in all fields.
قوائم تشغيل فسيلة
https://www.dailymotion.com/fasela/playlists
هي مكتبة رقمية تحتوي علي آلاف الفيديوهات العربية في جميع المجالات
It is a digital library containing thousands of Arabic videos in all fields.
قوائم تشغيل فسيلة
https://www.dailymotion.com/fasela/playlists
Category
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LearningTranscript
00:01As we've come to expect, here's a new episode of the Netaswar podcast.
00:07This episode could have been a TV program.
00:10But we are trying to reach the youth.
00:12Which I personally monopolize
00:14Welcome, Noot
00:16Welcome, broadcaster
00:17I'm happy to be with you on the podcast
00:20I don't even know what this is.
00:22Today's episode is about artificial intelligence.
00:26This topic is really true
00:27I'm benefiting from you, Doctor.
00:29Through your feelings
00:31Will artificial intelligence be able to replace humans?
00:36I was going to ask if he could make shawarma
00:38But this is actually better
00:40Is it really possible for artificial intelligence to replace humans?
00:43Look at her, she's a broadcaster, son.
00:44If there's one thing I'm sure of
00:47No matter where we go or how far we escape
00:49There's no day of sesame shawarma
00:51That's a given, with all due respect to Abu Haidar.
00:54The second thing is, I want to ask you a question.
00:56Is it possible for artificial intelligence to play a musical piece?
01:01Like the girl next door
01:02An epic film works like a death knell
01:05Or he sings like Tamer Hosny
01:07When he said
01:08Oh, that's impossible, of course.
01:11Yes, that's it.
01:12Artificial intelligence can calculate, reason, work, design, produce, innovate, and do everything better.
01:22Everything is better, thank God.
01:24God bless
01:25But there's one thing that will always distinguish us from artificial intelligence besides shawarma.
01:31It is the human touch
01:33human touch
01:35Human touch is a gift from God.
01:37Stories come from the depths of your soul.
01:39Softness and sensitivity
01:41The mortal human body
01:43That's what separates it from artificial intelligence.
01:45Its rigid nature
01:47She is the one who creates your fear for your survival.
01:49And it supports your plant to survive
01:52She's the one who gives birth
01:53All the beautiful feelings
01:55And not beautiful
01:56She's the one who starts and ends relationships.
01:58She's the one who brings people into the world
02:00And take it
02:01It's what ultimately makes us human.
02:04Do you think if the machine
02:05I didn't go through all of these things
02:07Can you replace a human being?
02:10Absolutely impossible
02:11impossible
02:12Exactly
02:24Dear viewers, prayers, blessings, and knowledge be upon you.
02:26In a new episode of Al-Daheeh program
02:27My dear, let me tell you that you are in November 2024
02:29What is twenty?
02:30What is this, Abu Hamad?
02:31What are these small consultations?
02:32This is my first time having a small consultation with you like this
02:33My dear, I'm alone with you now.
02:35To play the final match
02:36We are on the Genius program
02:37His self-importance against the University of Assiut
02:39And this, my dear, is always the most difficult preparatory exam in the governorates.
02:41The last question of the episode, and it's what's ruining our chances of winning.
02:43And the oppression of the Asyuti people?
02:45A question, my dear, that you'll encounter in the technology section.
02:46What is the largest company in the world in terms of market capitalization?
02:49When will this episode be released?
02:50So, my dear, because he studies well
02:52She will answer confidently and say, "Yes, Abu Hamad."
02:54You'll find, my dear, that afterwards the crowd will be applauding and Zamalek will be embracing each other.
02:58And the public is getting angry over the prison?
02:59Incorrect answer
03:00You'll switch sides with me again and tell him
03:01Swani is a professor of neurology?
03:02Microsoft?
03:03So when?
03:03My dear, they will respond to you and tell you that everything you said is wrong.
03:06The correct answer is Nvidia
03:08Actually, my dear, that's a very strange answer.
03:10We deal with before
03:11We deal with Meta products
03:13We deal with Amazon products
03:14We deal with Google products
03:16But none of us, in our daily lives, deal with products from a company called Nvidia.
03:21Unless a gamer is collecting hard drives to play games
03:23Or someone working in Bitcoin
03:24Nvidia is only mentioned in connection with graphics cards.
03:27Fazai is a ZD company that makes this product.
03:30Which not all of us use
03:31Cinnamon remains the top and above all else.
03:33Before, my dear, her tyranny
03:35It took nearly five years
03:37To move from a trillion-dollar company
03:39For a company valued at three trillion dollars
03:41Nvidia, my dear, how long did it take you to do it?
03:43In three hundred and fifty-three days only
03:45Less than one year
03:46Oh, how wonderful, Bahmad!
03:47Is it possible they make all this money from credit cards?
03:49I will consider starting a business
03:51What kind of recharge cards?
03:51graphics cards
03:52graphics cards
03:53The professor's words are accurate, my dear.
03:55Damdorn markets
03:56Professor of Finance and my teacher
03:58Favorite from NYU
04:00Three trillion is a tremendous achievement.
04:02You only reach the Perfect Momentum Company
04:05It means a company that is capable through its products and strategy.
04:07It will grow bigger and faster over time
04:10Does he tell you, my dear, that Nvidia's strategy and products
04:13You'll move much further than that.
04:15Beyond graphics cards
04:16And it won't just make her the richest in the world.
04:18No, this will change the shape of the world.
04:19I'll distract you, my dear
04:20Let's go back to Sidi
04:22My dear, our story begins differently from other success stories.
04:26Petals of two-part engineers
04:27They graduated from prestigious universities and have great jobs.
04:30Is this the story of Ahmed?
04:31When you do anything with Moon Shazel
04:32She will come out with a smiley face
04:33That's how happiness turns out
04:34This brings poverty to the markets
04:35Three engineers who are not suffering and are working perfectly
04:37They're not sitting in their garage inventing things.
04:39Lolani, my dear, is the famous man among them.
04:41Yansin Nuang
04:42Outside the Electrical Engineering Department
04:43And he has a master's degree from Stanford University.
04:45This guy, my dear, works for a company called
04:46L.S.I.Logic
04:47One of the largest companies at the time in the chip industry
04:50The second one, my dear Chris Malachowski
04:52Also, my dear electrical engineer
04:53He works at Sun Microsystems.
04:56This, my dear, is what created the famous programming language.
04:58Java
04:58Finally, KurtzBrain
05:00He also worked at Sun Microsystems
05:02And he, my dear, is the one who first designed a Graphic Processor.
05:04When he was working at IBM
05:06Three students, my dear, will meet
05:07Through Dell, a deal is made between the two companies.
05:10Sun Microsystems
05:11L.S.I.
05:12The three of them will train as friends together
05:14They'll go down, my dear, and head to the coffee shop.
05:16Like any three at the coffee shop
05:17They will consider opening a project
05:18Over coffee, my dear, Huang will discover
05:20Chris and Guts left their jobs
05:22They decided that they would open a project
05:23He will ask them, "What is this project?"
05:25They'll say, "Honestly, we don't know about the project."
05:27But we want you with us
05:28Huang will initially refuse
05:29Because he has a stable job that is working well
05:31He has a family to support, and that's how he earns his living.
05:33But, my dear, after a little digging
05:35He will get carried away with enthusiasm and agree.
05:36And my dear, it's preferable that the three of them meet every day at Dens Coffee.
05:39They're waiting for the idea until they find it.
05:41We'll open an internet cafe, but from home.
05:42Be careful, my dear, we're in the nineties.
05:43This was a new idea at the time.
05:45The idea was why you could go play arcade.
05:48Instead of you playing at home on your regular computer
05:51This is for you, my dear. We're talking about the early nineties here.
05:54This was a revolutionary idea at the time.
05:55Back then, my dear, computers were only for work.
05:58Not for art and play
05:59It contains no peripheral means
06:00No microphone, no headphones, no video
06:03He didn't even have the solitaire egg on him.
06:04So here, my dear, the three will decide.
06:06The topic of computer games
06:07Their entry point into the business world remains
06:09And that's where the idea for the graphics card came from, my friend.
06:11And that's where Nvidia's idea came from.
06:13The phrase "my dear Nvidia" comes from two words
06:16Nvidia and its meaning is envy
06:17It's exactly like Nvidia, but
06:19Any before now
06:20The word "video" is because their company does graphics and such.
06:23And because, my dear, they were convinced of their success
06:25They will choose the eye as their logo.
06:27Yes, it prevents envy.
06:28From this, you tell people that this is a visual company.
06:30Its goal is to provide a pleasant visual experience.
06:32And it also goes that they are in Genari, meaning they have a vision and such.
06:34So, my dear, we have the name and the vision.
06:36It's missing just one very simple condition upon which any project depends
06:38And that's money
06:39Here, my dear, everyone will put their life savings in
06:42Swaf collected forty thousand dollars
06:44They will choose the headquarters together.
06:45They perforated it, but it's distinctive.
06:47My dear, the headquarters will be like a fairy tale.
06:49And this, my dear, is a place near Silicon Valley in California.
06:52Where are the big semiconductor companies, my dear?
06:54Major investors and sharks
06:56That's exactly what they did, my dear.
06:58They started looking for investors to invest with them in Nvidia.
07:01Huan went to his old boss at LSI.
07:03Wilfred Corrigan
07:04The man just started a project and said it was a very clever idea.
07:06You guys are very handsome
07:07This is a truly important project.
07:09It will change the shape of the world
07:10But I'm out
07:10What's this about a Swedish woman's eyebrows?
07:12But my dear, the man suggested they see someone named Don Valentine
07:16This guy, my dear, is in Sequoia Capital
07:18This is one of the most famous faces in the world.
07:20These, my dear, are the companies that invest in startups.
07:22They call it bold investments.
07:24This guy, my dear, is just like Don Corleone from The Godfather.
07:26And Huang's manager told him, "I advise you not to say anything."
07:29My dear friend, a man doesn't just talk to them sweetly.
07:31He told him, "I sent you some people who are very mean to you."
07:33Jeff the Money
07:34And indeed, my dear Valentine, they have twenty million dollars in their hands.
07:38But he would say just one sentence to them, and that would be enough to wipe the smiles off their faces.
07:41Violet May Mani Ewell Kilion
07:43Do your best not to be too harsh
07:44So, my dear, they now have the money, the location, and the idea.
07:47Fadel, my dear, the most important thing
07:48We are a computer company, what do we need for a certain period?
07:50We need a computer
07:51They were indeed, my dear, standing at a computer.
07:53The three of them will go and buy a Gateway 2000 computer.
07:55Which was one of the best devices at the time.
07:57They collided with this device, my dear, to write code and design circuits.
08:00And they bring their initial models closer
08:02And with that, my dear, the recipe for success is complete.
08:04And on this day, my dear, April 5th, 1993
08:07Nvidia is officially launching, my friend.
08:10In November 1995
08:11Nvidia is launching its first product
08:13NV1
08:14Theoretically, my dear, this was an excellent product.
08:16It has 2D and 3D graphics
08:17If you want audio, take it. If you want video, take it.
08:19It also has an entrance for the arms
08:21Wow, amazing! Jenson Huang and his friends
08:24My husband tried it and enjoyed many games
08:26Especially since he enjoyed access to agriculture
08:28However, my friend, this device can be placed in the new Sega console.
08:31The one who will go to the market
08:32You can feel, my dear, that all the factors are in place for the success of this product.
08:35But unfortunately, my dear, as you know, the opposite happens.
08:37Nvidia is failing miserably
08:39This particular failure comes about because
08:41Its distinctive features
08:42What's the reason? I'll come back and tell you.
08:44The NV1, my dear, was so beautiful it was almost monstrous.
08:48It creates complex 3D graphics using Bézier Cures technology.
08:50Harf, my dear, you're the one with the fun lines.
08:52The one that moves with straight lines and points around it
08:54Other companies, my friend, used to create graphics with straight lines and regular polygons.
08:58And the gender
08:59Well, that's how Abba Ahmed is distinguished, and distinction brings success.
09:02The saying goes, my dear, not everyone who is distinguished is successful, and not everyone who is successful is distinguished.
09:05Be patient with us
09:05Let me tell you that companies like Microsoft
09:07I liked straight lines more
09:09Game developers have started making more compatible games.
09:12With polygonal graphics and no curved edges
09:14So, my dear, this made the people who use it one
09:16Because it runs its games, it suffers from slow and poor performance.
09:20On top of all that, the One was very expensive compared to its competitors in the market.
09:23Unfortunately, the result was disappointing and no one bought it.
09:26Vidya sent a message to Diamond, the company that acts as her authorized distributor.
09:29250,000 products to distribute and sell
09:32Please, my dear, if Vidya had 249,000 products among them
09:36Don't sell anything but a thousand products, my dear.
09:38Strangely, the three of them were buying with a gift.
09:40Like the book signing ceremony
09:41By the way, we just finished printing the first one yesterday.
09:43I'm a bestseller in our house
09:44And the Sija device, my dear, that they had staked their bets on.
09:46When we went down, we didn't succeed.
09:48The company, my dear, was on the verge of bankruptcy.
09:49Yanharsh Food Abu Ahmed
09:50And then
09:51Honestly, my dear, what happened is what we say in everyday life: a mother's curse.
09:54It's clear, my dear, that Yaldi's mothers were from Silka.
09:56And pray for them in the spaciousness of the afternoon
09:57To save them, my dear, and ironically
09:59Sega decided that it was terminating its contract with them.
10:02And what does it mean, my dear, if this annulment occurs?
10:04So, Sega is obliged to pay a penalty clause.
10:06Don't you want to terminate the contract on your end?
10:08My activation is still five million dollars
10:10This, my dear, was the primary reason.
10:12The second reason is that the grandfather, Mr. Valentine
10:14The one who told them, "If I lose my money, I'll kill you."
10:16They disagreed and made a promise to them, my dear.
10:17They didn't kill them, thank God, Abu Hamad
10:19And they, my dear, are the three of them.
10:21Survived from this crisis
10:22So what do we do in the next step?
10:23How to fail
10:24Nvidia will cancel its work on Envy 2
10:26The new release they had planned
10:28And it starts clean from scratch.
10:30But a problem arises, my dear
10:31Time is starting to pass
10:32And the money starts to run out
10:33Fadel Flous, Ya Do, it's only a month away
10:35And here, my dear, the company will transfer the pressure to a protector.
10:37You will put the employee logo
10:39We are only 30 days away
10:41from going out of business
10:42We will present it in 30 days
10:44So we go bankrupt
10:44Dear Nvidia employees
10:46They were the company's real boys
10:47They worked really hard
10:48Until you release the product
10:49The one who will save Nvidia from bankruptcy
10:50Dear viewer
10:51Welcome Riva 128
10:53Why, Abu Hamad, is it one or three years since Al-Khassa?
10:55The Riva 128 is Nvidia's new product
10:58This solved all the NV1 problems.
11:00He saw what the market wanted
11:01And it worked without any complications.
11:02The market operates with polygonal graphics.
11:04Yalla Beh Nawai Nat
11:05I want something cheaper, okay?
11:06His commercial value
11:07Take these things that support sound, my son.
11:09And Sega stuff too
11:10Leave it to me for the graphics.
11:11That's great, let's sell and impress.
11:13And at the right time, my dear
11:13NV1 sold a thousand products
11:16In two years, how long?
11:17From 250,000
11:25It is used in Jetway, Compaq, and Dell devices.
11:28Nvidia's first successful attempt
11:30And she decided to continue
11:31And you know, my dear
11:32Success Dream Works
11:33Nvidia, my dear, you've launched and decided not to be afraid.
11:36Let's see Nvidia in 1999
11:38It downloads GeForce 256
11:40This, my dear, will be Game Changer.
11:42It will completely change the game.
11:43It will be the first GP in history
11:45In short, the GB is
11:48A device that performs many very complex calculations
11:51So that the graphics ultimately appear on the screen.
11:53My dear, he does his work in parallel.
11:55And take from everything in parallel because this is important
11:56You know, my dear, when you go to buy a laptop
11:58And you will find what is written on it: Core E7 and RTX
12:00You find fifty thousand
12:01Brother of ArtX, this is my dear
12:02The GB
12:03The core e seven de ho cipo
12:05The CP is a
12:06Central Rousing Unit
12:08The difference between GPIO and CPIO
12:10The GPio performs its operations in parallel.
12:12The CP performs its operations faster.
12:15But in succession
12:16Sequence and parallelism
12:17And that, my friend, is what differentiates Nvidia from Intel.
12:19Uncle, I'm with you, my dear, a loaded ship
12:21Tons of goods at the same time
12:24This is the G-Bio
12:24The CP is still dear to me
12:26This is an airplane
12:27It carries fewer products
12:28But it travels faster
12:30This is my dear, of course, a fancy plate
12:31Please, I mean
12:32Secondly, my dear, let's go back to our original idea.
12:34The G-Bio Bio delivers many things at the same time
12:36But let's cut a little
12:37The CPIO delivers very few things
12:39But faster
12:40Amza the pilot
12:41They also need to go and come back.
12:42And you can reach anything, my dear
12:44I don't have to put it in, but
12:45In short, my dear
12:45The GP is the muscle
12:46He's the one who started removing the quantity
12:47The C-Pio is moody
12:49What will he choose first?
12:50And then after that, and so on and so forth.
12:53Of course, my dear, they have the best performance.
12:54When they both work together
12:56Nvidia, my dear, has decided to specialize in GPUs.
12:58The muscles of a man who can lift a lot
13:00And this, my dear, is for a reason.
13:02Throughout history, it was the best decision Nvidia has ever made.
13:05Although, my dear, the decision was not popular
13:07Pay attention to this part
13:08And with this decision, my friend, Nvidia is entering the first battle
13:11A battle between Nvidia and the queen of the GPU
13:13Intel is the queen of CBI
13:15In 2001, my dear, Microsoft made the decision.
13:18If she uses Nvidia's GPU
13:21In the new device
13:22Xbox
13:22The device, my dear, is very successful.
13:24Nvidia is taking an advance payment of $200 million.
13:27This partnership
13:28Nvidia had proven itself very much in the gaming market at that time.
13:31It started to grow and grow and grow and grow
13:32It's starting, my dear, it's starting to take over companies.
13:34In 2002 it began buying its competitors
13:36Companies like Exelona and 3D Efax
13:38In 2003 I bought MediaQ
13:40For seventy million dollars
13:41In 2006 I bought Hyper Graphics
13:43And in 2007 I bought Portal Clear
13:44He is arrogant, savage, and a player with the shark.
13:47My dear Nvidia, you've grown so big that you were named Company of the Year.
13:50From Forbes magazine, 2007
13:51Mohammed, I can't see any battles in front of me.
13:53I see openings in front of me
13:54In 2008, my dear, Nvidia woke up to a scandal.
13:57People discovered a problem with Nvidia cards.
14:00Found in certain laptops
14:01Dell, HP, and Apple
14:02They filed lawsuits against Nvidia, my friend.
14:05And she decided to return the victims
14:07The repairs were estimated to cost around $200 million.
14:10So, who's inside, fishing in murky waters?
14:13Intel competitor
14:14Intel will sue Nvidia in 2009
14:17She says she didn't grant her rights
14:19So you can design cards
14:20It works with its perseus
14:22Is Nvidia staying silent in this sister-in-law war?
14:23no
14:24She will also file a lawsuit against Intel.
14:26The Khania series has been running for three years, and I prefer it to be a better series by Mohamed Sami.
14:30Until the two companies finally reconciled in 2011
14:32They decide to work out a joint license between them for 6 years
14:36This is a license that gives each company access to the other company's products.
14:39Furthermore, my dear Intel, you will pay Nvidia one and a half billion dollars.
14:42Hey Darsho, this is Ahmed, we were just at the beginning of the video.
14:44And the high-class one, we don't have 40,000 dollars
14:47When did we reach billions?
14:48Oh wellness
14:49Oh wellness
14:50We haven't seen billions yet.
14:53Vidya Azizi knew that her feud with Intel wasn't a rights and license feud.
14:58The feud wasn't originally between Intel and Nvidia.
15:00The real fight, my dear, was between the GPIO and the CPIO
15:03Who among us will have the future?
15:05And I'm coming to you, my dear, from the future, and I'm telling you
15:06The GBW is the winner, as evidenced by the fact that we're doing an episode about Nvidia.
15:12The year 2006, my friend, was when Nvidia was at the peak of its success in the world of graphics.
15:16And that's exactly what you're saying, my dear, in the video, James
15:18But somewhere, there was a group of researchers working on scientific research at Stanford University.
15:24Research related to medical imaging
15:26Medical Imaging
15:27This was a field that faced significant challenges at that time.
15:30Because CT scans and MRI scans
15:34It was complex and required huge calculations.
15:36So that it comes out quickly and stays high
15:38At that time they were using the CPU in this process
15:41And the train was very slow.
15:42And this, my dear, made diagnosis slow and medical decisions slower.
15:45Here, my dear, are the researchers at Stanford University and MIT thinking.
15:48It remains that this medical imaging is ultimately just images
15:51Images mean Graphics
15:52And graphics means many calculations that occur in parallel.
15:55So who is the best person to do this?
15:57Exactly, my dear GPU
15:59And here, my friend, came a turning point in the world of Nvidia.
16:03When Nvidia discovered that his negation was a world much bigger than games
16:06Alaya James in the fairy tale was cutting the genie
16:08It is a tremendous cosmic phenomenon trapped inside a rosary.
16:12And that, my friend, is exactly the GPU situation.
16:13A colossal cosmic phenomenon trapped in the world of the Gems
16:17The video, my dear, will give you the researchers' idea.
16:19And it takes her to a completely different place.
16:20And it begins, my dear, with a secret project within the company.
16:23They will create a programming platform, my friend.
16:25To enable people everywhere to use GPUs
16:28In the field they love
16:30Here, uncle, he said, "A quick calculation."
16:31It calculates what you want.
16:32In the field you want
16:33He said, "Super-fast calculation."
16:35And indeed, my dear, the year 2006
16:36They are launching a platform called Koda
16:39The world's first almost-first software platform
16:41At first, my dear, people didn't understand.
16:42What code is this? What are we supposed to do?
16:43Until 2012 comes, my dear
16:45And a Canadian researcher named
16:47Alex Krigewski is participating in the competition
16:49Its aim is to improve the ability
16:51AI in image recognition
16:53Which is to give the computer a picture of a dog
16:54He tells you, "What is this, a dog?"
16:56In the beginning, my dear, people used the CPU
16:57So that they can pass their programs
16:59The process sometimes took them weeks and sometimes months.
17:02Your uncle Alex, the contestant, is coming.
17:04The researchers at Stanford University work under the tutelage of [name of researcher/entity].
17:06He develops an artificial intelligence model with his supervisor.
17:09Alex calls it Net
17:11My dear, he uses two Nvidia GTX 580 graphics cards in his training.
17:14And the training, my dear, which used to take weeks and sometimes months
17:17The days are over
17:19And his model, my dear, surpassed all the models in the competition.
17:23By stages, by a difference of thousands of leagues
17:25And see how much a farsakh costs now
17:27And with Alex's model, which used the GPU, winning over the models that used the CPU
17:30My dear, many people have started experimenting with this topic.
17:32And among the most important of them, my dear, are people interested in cryptocurrencies.
17:36Satoshi Nakamoto, his friend Karima
17:38And with me, my dear, was the rise in Bitcoin prices in 2013.
17:41People have started using GPUs instead of CPUs in complex mining operations.
17:45If you remember, my dear
17:47What is cryptocurrency?
17:48Crypto encryption
17:49Encryption requires you to solve difficult mathematical equations.
17:53To outperform the code
17:54The GPU proved to be a reliable tool in this task.
17:56A reliable person
17:58The CPU was exposed to the two miners, my dear.
18:01The GPU, my friend, has proven to be very efficient.
18:03To the point that a major crisis occurred
18:05Because of the people who were mining
18:07Johnson Huang, my dear, the first thing he saw was what was happening.
18:09People are using his GPU.
18:11So, different purposes and needs than the GPU were at its crossroads.
18:14I have two choices
18:15We're going to work in cryptocurrencies.
18:17He works in AI
18:18And I'm coming to you, my dear, from the future to tell you
18:20If he made the right choice and worked on AI
18:22Do you do this every time?
18:24Johnson Huang directed all of Nvidia's efforts
18:27It will develop processors specifically designed for artificial intelligence.
18:30And you, my dear, this matter was a great risk.
18:32If you, my dear, are working on changing the direction of the Nukha company in the world of graphics
18:36And she wants it for me in a place where nobody knows anything about it at all.
18:39But this happened
18:40Nvidia has already started working on new cards for training AI.
18:43In 2015, Nvidia released the M4 series and the Tesla M40.
18:48This, my friend, was the first processor Nvidia made specifically for AI.
18:51At that time, companies like Google and Microsoft began using it in research and development.
18:55But even that was still not enough.
18:57The Deep Learning SDK will appear in the same year.
19:00It is a software toolkit from Nvidia
19:02It helps developers to use their program's memory, koda.
19:06Fiji developers use it more in AI projects.
19:09So, my friend, Nvidia now has one hand on hardware and one hand on software.
19:14What should you do, my dear? Marry them off to each other.
19:16And the DGX device works for us
19:19The first integrated system specifically designed for AI
19:22Do you remember, my dear, your beloved Abu Ahmed?
19:24A young man's voice
19:25In short, my dear, the whole thing is like a steam engine.
19:28The engine that was the cornerstone of the Industrial Revolution
19:30Nvidia and its GPUS software are now the cornerstone of the AI revolution.
19:352016, my dear
19:37It started as a small company called
19:39OpenAI
19:40It has begun, meaning that it is taking zakat for industrial purposes in a new direction.
19:43How do you do this? You do it using Deep Learning.
19:45Sorry, Abu Ahmed, I'm tired.
19:47Explain it to me because it's technical and has a connection to this.
19:49I don't have Twitter, it's too late.
19:50Still in the chip cutting stage
19:51This topic of poison is tired of my vegetables
19:53Deep learning, my friend, is when you let the computer learn on its own.
19:56Just like the human mind learns.
19:58Imagine you are a small child learning how to distinguish between a cat
20:01And at first you see many pictures
20:03Someone will train you and explain to you that this is talk and this is a cat
20:05With time, my dear, your brain will begin to notice the differences.
20:08Without anyone explaining the details to you
20:09That's the idea in a nutshell.
20:10The computer practices on hundreds, thousands, and millions of images.
20:14And the words and sounds take all the data it can.
20:17He starts, my dear, trying to understand it on his own and learn from it.
20:20The more data he had, the more Asky he became.
20:22Here, my dear, is where Nvidia comes in.
20:24Practice, my friend, because mixing AI requires very powerful processors.
20:28Processors can perform trillions of computational operations very quickly.
20:32Who, my friend, has these processors? Nvidia, my friend.
20:35OpenAI, my friend, will rely entirely on Nvidia processors.
20:39When you come to practice its artificial zakat
20:41And from now on, my dear, I'm telling you that OpenAI
20:42You will succeed, you will take it, and you will be one today.
20:45One of the world's largest artificial zakat companies
20:48With the development of artificial zakat, a similar development in GPOS was necessary.
20:51So, my dear, we reach the year 2020 and the A100 drops.
20:54Which was the most powerful AI processor at the time.
20:57This is what OpenAI used in its GPT chat training.
20:59The 30th and 30th Point Five
21:01Chat GPT, my dear Three Point Five
21:03Released on November 30, 2022
21:05And he broke the world
21:06My dear friend, all the people were talking about was GBT chat.
21:09What's successful now, my friend, is Nvidia's success.
21:11In the same year, Nvidia released the H100 processor.
21:14This is what OpenAI used in training ChatGPT4.
21:17May God burn him and his subscription
21:18May God protect us from China.
21:19OpenAI and other AI companies are growing, my friend.
21:22And with them, a campaign that is growing even bigger, Nvidia.
21:24Or perhaps, my dear, we could say that these companies have grown.
21:26Because Nvidia itself has grown
21:28My dear Nvidia, you've grown so big that you're now making money.
21:30From three of the largest industries
21:32Gaming, cryptocurrencies, and artificial intelligence
21:35My dear, the three trips turned out to be better after
21:37And after all that, he's still talking about them.
21:39This, my dear, is a company that doesn't meet future needs.
21:41This company is truly shaping the future.
21:42And this, my dear, will make the company that was built with $40,000
21:451993
21:46Arrived in October 2024
21:48For almost the highest market value in its history
21:51At that time, it had the highest market value in the world.
21:54$3.579 trillion
21:58Do you know, my dear, a trillion?
21:58A thousand billion and a billion is a thousand million
22:01Hit it!
22:01Hit
22:02Me and my dear Turki, this number with its fractions
22:03I'm not going to let you get away with this.
22:04The seven or nine that you don't like
22:05What I could have said was...
22:07They make $79 billion
22:09This is the distant fracture
22:10Nvidia, my dear
22:11The day I went down the most
22:13In terms of market value
22:14$600 billion has been lost
22:16The day on which its market value increased the most
22:18It increased by $200 billion
22:20May God bless you and me with a portion of these, my dear.
22:23Double fracture remains
22:24If you still don't understand the numbers, my dear
22:25Let me tell you that the annual GDP
22:28for the United Kingdom
22:293 and 3 out of 10 trillion dollars
22:31It means one company in America
22:32Its market value is greater than the GDP.
22:35for almost the largest country in Europe
22:37This is Maghzab Ahmid
22:37When Nvidia made all that money
22:39From crossover screens and AI
22:40And this field is broken like this
22:42Flya, no other companies can compete with it.
22:43Because if the reason is that easy
22:45I see that we can do something, dear Vidya
22:47My dear, if you want to make a racing car
22:50When you came to collect your car
22:51I found many motor companies
22:53But I only found one company
22:54It will give you the fastest motors in the world
22:56All the other teams around you rely on it.
22:58Even the company that organizes the race is encouraging it.
23:00Dear Nvidia
23:01Who controlled the race itself?
23:02In some markets, my dear
23:03Nvidia owns 85% of the market.
23:06That means the second center, my dear, is strong.
23:07He can't even look at Nvidia, he's jealous
23:09He was in control of the race itself.
23:20Those who became the largest company in the world
23:22Because their customers are the biggest companies in the world
23:24Yuani, my dear, Nvidia doesn't just support hardware.
23:26This creates a complete software package
23:28Software capable of connecting everything together
23:30It means anyone, my dear, who wants to take advantage of AI
23:31It needs Nvidia tools.
23:33Koda and Tensor RT outfit
23:34And since you, my dear, started this topic from Badr
23:36This gave her the advantage of early bird
23:39Coco Coco has been going down for a long time
23:40So, my dear, she has extensive experience in the field.
23:42He sold her a lot of money
23:43She has connections with major companies
23:45And every now and then she talks about research and development
23:46And its most important priority is manufacturing.
23:49If you saw the episode, my dear
23:49Taiwan ring
23:51You'll also get licked, my dear, by Nvidia.
23:52She doesn't listen to her own SIM cards.
23:54The Taiwanese company TSMC is the one you listen to.
23:57Not only that, my dear, but it has manufacturing priority.
23:59Sometimes it has a manufacturing monopoly
24:01Here I tell you, my dear, that in some cases
24:02Her skill in manufacturing is harming her.
24:04For example, the US government sees Nvidia chips as
24:07It's not acceptable to reach that point; I could be competing with him.
24:10For example, it prevents these new, modern chips
24:13It is followed in China
24:14For example, China doesn't have Nvidia's new GPUS.
24:17Even the old Nvidia GPUs
24:19Are you considering imposing restrictions on its export?
24:22Every woman has her reasons, my dear.
24:22Nvidia made enormous profits, of course.
24:24Ma'an, of course, is the reason for this ban.
24:26Because if she had sold to China
24:28For the morning
24:28And I am, first and foremost, a card company.
24:30Whoever wants cards, I'll give them to them.
24:31And if you opened the world
24:32Because, my dear, there are also countries and regions of the world.
24:34Forbidden
24:34A little less than that
24:36The Gulf, for example
24:36And they are now trying to open a path
24:38I'm telling you now that Vidya was indeed hurt by the ban.
24:41This ban will be one of the reasons
24:43One of the greatest epic losses
24:45In the entire history of the global economy
24:47Vidya, my dear, has a market value
24:49It will be released in approximately one day.
24:51$600 billion
24:53The biggest single-day loss for a company in history
24:56In terms of market value, of course
24:57If I asked you, my dear, what's the first thing that comes to your mind?
25:00When I say a Chinese word to you
25:01You'll tell me, my dear
25:01Traditionalization
25:02If you can do anything for less
25:05That's pretty much what happened, my dear.
25:06So, as I told you, America even had strict restrictions on the manufacture and export of new processors to China.
25:12Here, Vidya has created processors specifically for China.
25:15So that you don't lose his week
25:16China is now under a ban, just like Shaker.
25:18So I made them processors, some of which are from Nvidia.
25:21The H800 and A800
25:23They are a little lower quality, my dear.
25:25But you can't call them bad processors.
25:27It was Vidya who did it, both in the beginning and in the end.
25:29The important thing, my dear, is that there's a very famous young Chinese man these days.
25:32His name is Liang Wenfeng
25:33And he decides, my dear, that he is changing the world and tipping the balance of power.
25:36Before Nvidia processors were banned in China
25:38He will buy thousands of H800 processors
25:41It will store processors
25:42He decides to work on his own artificial intelligence model.
25:45And according to what he said, my dear
25:46It uses slow and outdated processors.
25:49And according to what he said too, my dear
25:50Because some people disagree with this statement.
25:52This project cost five million dollars
25:55And this, my dear, is a joke to this world.
25:58We'll see, my dear, in 2023.
26:00DeepSec's emergence
26:02Just a small company trying to enter the field of artificial intelligence
26:05But what happened, my dear, was in January 2025
26:06He wasn't young at all
26:08The company shocked the world when it announced its artificial intelligence model.
26:11Very powerful and open source
26:13That means not just anyone can use it.
26:15No, this also means that anyone should be able to take their codes and modify them.
26:18And despite the fact, my dear, that this model is supposed to
26:20I'm training using old processors.
26:22However, it offered a tool that was very close to, if not better than, the strongest American models.
26:28And at a lower cost than their usual price.
26:31Okay, Abu Ahmed, it's not like you said.
26:32Chinese application
26:34You'll find him like the one you follow at the station.
26:35I see them displayed in the research department and I buy them.
26:37Because it's cheaper, frankly.
26:38This product definitely won't work for me.
26:41My dear coffee
26:42Yes, the application is available and free.
26:44Download it, use it, and try it yourself.
26:46And if you don't believe me, there are international experts who have tried it and found it useful.
26:50One of the things, my dear, that distinguishes Deep Sick
26:52Is it open source?
26:53The outfit of the woman from Matta's place
26:54So, my dear, this allows anyone to see how things are handled.
26:57And this, my dear, is according to some sources.
26:59The reason that might have made DeepSec excel
27:01Programmers found that DeepSec played its cards cleverly.
27:04Instead of what is going on, there are a lot of girls.
27:05It has no beginning and no end
27:06He'll see how you're asking about the topic.
27:08He goes around looking for things related to this particular topic.
27:11So, if I asked you a question about cooking
27:13He will go and look in cookbooks and articles
27:15He won't go towards sports.
27:16He won't be able to help the economy.
27:17He's going to get the cooking food, that's all.
27:18And this, my dear, saves time and effort
27:20My dear friend, the idea of using an old processor
27:22And achieving good results in the way I'm telling you.
27:25Hit is a feasible idea on the ground
27:27However, DeepSec Rowan was a treasure trove for programmers.
27:30Because it was open source
27:31They taught them the most important scientific principle in life.
27:33We start where others left off.
27:35We don't have to choose the wheel
27:36Here's a ready-made AI program.
27:38Edit it however you like
27:39Besides, my dear, it has surpassed many AI models.
27:42There's something called Chatbot Arena, for example.
27:43They use it to evaluate the performance of industrial railway models.
27:46Without knowing who you're talking about
27:47They bring in a dear one, like your personal parts.
27:49He sits and talks to the AI program
27:50He doesn't know
27:51He doesn't know him and is talking about him on a program.
27:53Kilood, Lama, Jrok, Chat GPT, and Deep Sick
27:56And after he finishes, my dear, he evaluates
27:58My dear, I'm satisfied with a plain date show, but in AI.
28:00In this test, my dear
28:02And then Deep Sick Arwan surpassed
28:05Open AI O3 Mini and O3
28:07Founding Company
28:08On Gemini 2point or from Google
28:11My dear Open AI
28:11And Google is talking about companies worth billions.
28:15Zay earned millions, if not billions, of dollars
28:18To train their artificial turf
28:19And then Deep Sick comes along and tells you...
28:21Outshine me, my dear Deep Sick, at this time.
28:23Let the investors be very scared
28:24He has doubts about the evaluation of AI companies.
28:26It's clear that the stocks are overrated.
28:28What made me pay all this money?
28:30Although I might get a Chinese kitchen before
28:32And I pay half of the eighth
28:32Oh, this is a hit, thank goodness
28:33That way, investors will come and buy from the research.
28:35Prices will rise
28:36Within days, or we could say within hours
28:39From the launch of Deep Sick Aron
28:40Technology company stock prices
28:42It dropped sharply and fell by about a trillion dollars
28:44And of course, the biggest loss occurred
28:46It was for Nvidia
28:47The company that sold the old processor to China
28:49So you don't lose a customer
28:50The customer left, marked it, and it lost 600 billion.
28:53In one day
28:55The story of artificial intelligence, my dear
28:56It can be summarized in three points
28:57Hardware
28:58Software and data
28:59The G-Piety chat uses an Nvidia processor.
29:01And DeepSec is the one who caused the Nvidia crisis.
29:03I also used a processor like Nvidia
29:05This in itself is proof that Nvidia's GPUS
29:07She is still the cornerstone of the AI
29:09Therefore, the change that will occur in the world
29:11There will likely be software development.
29:13Data handling has often evolved
29:15In short, my dear, imagine with me
29:16If we use the D-Basic model
29:18But OpenAI's capabilities and potential
29:20Using an Nvidia Z processor
29:21The new one, not the old one
29:23Take the sweets from here and the sweets from here
29:24And she looked at me with a model AI
29:26There's no Zakawt, no Halawat, and no Shawt.
29:28In conclusion, my friend, the Nvidia story cannot be summarized.
29:30In the end, the company lost 600 billion in one day.
29:32The most important story of all
29:34She lost all of that and she's still going on as if nothing happened
29:36Correct the trick
29:36Oh, not the biggest company in the world
29:37Right now, I mean
29:38But it's still one of the top three companies in the world.
29:40After Apple and Microsoft
29:41Okay, so that's how it is, my dear.
29:42Your answer in the game program, read
29:44It will change
29:44But Nvidia is still in the top 3
29:46Nvidia's success story continues
29:48It is an exceptional success story
29:49One of my favorites, my dear, for inspiring things.
29:51In the Nvidia story
29:52It's a company that started trying to solve problems
29:54In games in the gyms
29:56Artificial Zakat
29:57Which is the most important achievement today
29:59Jayel Lana
29:59Because of a company that tried to work on games
30:02Which is something very trivial
30:03But that's also my dear
30:04Something that does something very important
30:05It is simulation
30:07The games simulate life
30:08It mimics the world
30:09This is the future of Nvidia today.
30:11Nvidia is currently developing models and prototypes.
30:13So that you can simulate the world
30:15And it allows us to anticipate the disasters that might occur in the future
30:17Nvidia, my dear, is developing the new brain.
30:20The brain that is capable of imagining scenarios
30:22It solves problems more efficiently than existing ones.
30:24The world, my dear, was thinking today
30:25Nvidia was preparing for tomorrow
30:26So let's wait until tomorrow, my dear.
30:28Let's see what happens.
30:28Will other companies in the semiconductor field surpass it?
30:32I maintain that it will remain at the forefront
30:34We'll make more episodes about it and stuff like that
30:35That's all, my dear.
30:36Our good fortune continues, and we are still looking forward to the previous situation.
30:37See the next case
30:38Forget about Basar, we're on YouTube
30:39Subscribe to the channel
30:40You know, my dear, it was Nvidia
30:41What do they do when it exits with Windows?
30:43What are they doing, Abu Hamid?
30:44He recognizes her
30:45That's the sound
30:45That's the screen
30:46That's it.
30:47Things your generation doesn't understand
30:48My dear, we were building a local fleet
30:49On an old basis
30:50God