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What is artificial intelligence? ChatGPT and Dall-E technology



From ChatGPT to Dall-E and the new Bing; These are all based on artificial intelligence. But what exactly is artificial intelligence and how do the new wonders of the technology world work?

What is artificial intelligence? ChatGPT and Dall-E technology

Artificial Intelligence

Artificial intelligence or AI is everywhere these days. “Intractable” problems are being solved; People with no knowledge of coding or composing or designing can build websites and songs in seconds with the help of AI and create amazing artwork. Big companies are also investing billions of dollars in AI projects, and by bringing the ChatGPT chatbot to Bing, Microsoft is trying to overturn our search model on the Internet and maybe even disrupt the entire structure of the Internet in some time.

Getting your head around AI, like any new technology that comes with a lot of hype and media controversy, can be confusing, and even experts in artificial intelligence can hardly keep up with the momentary developments of this technology.

Read More: The dark side of longevity prediction technology

In the field of AI, a series of questions are asked; For example, what exactly is meant by artificial intelligence? What is the difference between artificial intelligence, machine learning, and deep learning? What difficult problems can be easily solved now, and what problems are still beyond the capabilities of artificial intelligence? And perhaps the most popular of them; Is the world going to be destroyed by artificial intelligence?

If you have also been asked why there is so much fuss and excitement about artificial intelligence, and if you would like to learn the answers to these questions in simple language, join us to take a look behind the curtain of this mysterious and powerful technology.

What is AI?

The term “Artificial Intelligence” or AI is used to describe a system that can perform cognitive activities related to the human mind, such as “learning” and “problem solving” as well or even better than humans. But in most cases, what we know as artificial intelligence is actually called “Automation” or the process of automation, and to better understand AI, we must first understand its difference from automation.

There’s an old joke in the computer science world that automation is what we can do with computers right now, but artificial intelligence is what we wish we could do with computers. In other words, as soon as we understand how to do something with a computer, we leave the field of artificial intelligence and enter automation. The reason for this joke is that artificial intelligence does not have a precise definition and is not even a technical term. If you look at Wikipedia, you’ll read that artificial intelligence is “intelligence developed by machines, as opposed to natural intelligence exhibited by animals, including humans.” It means such a vague and broad definition.

In general, there are two types of artificial intelligence: strong AI and weak AI.

Strong artificial intelligence is what most people imagine when they hear AI; That is, a type of omniscient intelligence similar to the character of Hal 9000, the same killer robot in the movie Space Odyssey or the self-aware artificial intelligence system of Skynet in the Terminator movies, which, while having superhuman intelligence and the ability to reason and think logically, also have abilities beyond humans.

In contrast, weak AI is highly specialized algorithms that are designed to answer specific, useful questions and are limited to the same problem; Like Google and Bing search engine, Netflix movie suggestion algorithm, or even Siri and Google Assistant voice assistant. These AI models are very impressive at their level, although their efficiency is limited.

But Hollywood sci-fi movies aside, we are still a long way from achieving strong AI. Currently, all the AIs we know are weak, and some researchers believe that the methods that have been used to develop weak artificial intelligence will not be applicable to the development of strong artificial intelligence. Of course, if you ask the opinion of the employees of OpenAI, the developer of the popular chatbot ChatGPT, they will tell you that in the next 13 years and with the same known methods, they can achieve strong AI!

If we want to be very precise in this matter, we must say that “artificial intelligence” is currently more of a term for attracting attention and marketing than a technical term. The reason why companies use artificial intelligence instead of using the word “automation” is because they want to conjure up in our minds the same sci-fi images from Hollywood movies. But this work is not completely clever and deceitful; If we want to joke, we can say that these companies intend to say that it is true that we have a long way to go before we reach strong artificial intelligence, but the current weak AI should not be underestimated, because it has become many times stronger than a few years ago. Well, that is absolutely true.

In some fields, there have been dramatic changes in the ability of machines, and that is due to the advances that have been made in the last few years in two fields related to AI, namely machine learning and deep learning. You have probably heard these two terms a lot, and we will explain their mechanism below. But before that, let’s talk a little about the interesting and readable history of artificial intelligence.

History of artificial intelligence

Can machines think?

In the first half of the 20th century, science fiction introduced people to the concept of intelligent robots, the first of which was the character of the Tin Man in the novel “The Wizard of Oz” (1900). It wasn’t until the 1950s that we had a generation of scientists, mathematicians, and philosophers whose minds were engaged with the concept of artificial intelligence. One of these people was an English mathematician and computer scientist named Alan Turing, who tried to investigate the possibility of achieving artificial intelligence with mathematical science.

Turing said that humans use available information as well as the power of reasoning to make decisions and solve problems, so why can’t machines do the same? This mental preoccupation eventually led to the writing of a very famous paper in 1950 that posed the controversial question, “Can machines think?” was starting In this article, Turing described how to build intelligent machines and test their intelligence level, and by asking “Can machines excel in the imitation game?”, he initiated the very famous “Turing Test”.

The lack of memory and the staggering costs of computers prevented Turing from testing his theory

But Turing’s paper remained a theory for a few years because at that time computers did not benefit from the key prerequisite for intelligence; That they could not save the commands and could only execute them. In other words, computers could be told what to do, but they could not be asked to remember what they had done.

The second big problem was the skyrocketing costs of working with computers. In the early 1950s, the cost of renting a computer reached 200,000 dollars per month; For this reason, only prestigious universities and large technology companies could enter this field. In those days, if someone wanted to receive funding for artificial intelligence research, it was necessary to first prove the feasibility of his idea and then get the support and approval of influential people.

The historic DSRPAI conference that started it all

Five years later, three computer science researchers named Ellen Newell, Cliff Shaw, and Herbert Simon developed the Logic Theorist software, which was able to prove the possibility of Turing’s idea of machine intelligence. Developed with funding from RAND, the program was designed to mimic human problem-solving skills.

Logic Theorist is considered by many to be the first artificial intelligence program. It was presented at the Dartmouth College Summer Research Project on Artificial Intelligence (DSRPAI) hosted by John McCarthy and Marvin Minsky in 1956.

Artificial Intelligence

John McCarthy is known as the father of artificial intelligence

In this historic conference, McCarthy brought together top researchers in various fields for an open discussion about artificial intelligence (a term McCarthy himself coined at the same event), with the idea that artificial intelligence could be achieved through collective collaboration. But the conference could not meet McCarthy’s expectations, because there was no coordination between the researchers; They came and went as they pleased and did not reach any agreement on standard methods for conducting AI research. However, all participants felt wholeheartedly that AI is achievable.

The importance of the DSRPAI conference is indescribable; Because 20 years of research in the field of artificial intelligence was based on it.

The rollercoaster of successes and failures of artificial intelligence

From 1957 to 1974, is known as the heyday of artificial intelligence. During this period, computers became faster, cheaper, more ubiquitous, and could store more information. Machine learning algorithms also improved and people knew better which algorithm to use to solve which problem.

Examples of early computer programs such as Newell and Simon’s General Problem Solver or the ELIZA software designed by Joseph Weisenbaum in 1966 and the first chatbot to successfully pass the Turing test, respectively, take scientists a few steps closer to the goals of “problem-solving” and “interpretation of spoken language” brought closer.

These successes, along with the support of prominent researchers who attended the DSRPAI conference, eventually convinced government agencies such as the US Defense Advanced Research Projects Agency (DARPA) to fund AI research at several institutions. The US government was particularly interested in developing a machine that could transcribe and translate both spoken language and data processing at high throughput.

At this time, researchers were very optimistic about the future of this field and their level of expectations was even higher than their optimism; As Marvin Minsky told Life magazine in 1970, “In three to eight years, we will have a machine with the general intelligence of a normal human.” However, although AI was proven to be feasible for everyone, there was still a long way to go before the ultimate goals of natural language processing, abstract thinking, and self-awareness in machines were achieved.

There were many obstacles on the way to the realization of these goals, the biggest of which was the lack of sufficient computing power to carry out the projects. The computers of that time did not have enough space to store a huge amount of information, nor the necessary speed to process them. Hans Morawek, McCarthy’s Ph.D. student at the time, said that “computers back then were millions of times too weak to show intelligence.” When the patience of researchers ran out, government budgets also decreased, and for ten years, the pace of artificial intelligence research slowed down.

Until the 1980s, two factors revived artificial intelligence research; Significant improvements in algorithms and the arrival of new funds.

Significant improvements in algorithms have given new life to artificial intelligence research

John Hopfield and David Rumelhart developed Deep Learning techniques that allow computers to learn new things by experimenting on their own. On the other hand, the American scientist of computer science, Edward Feigenbaum, introduced “Expert Systems” that mimic the decision-making process of experts. This system asked experts in various fields how they would react in a specific situation and then provided their answers to non-experts so that they could learn from the program.

Expert systems were widely used in industries. As part of the Fifth Generation Computing Project (FGCP), the Japanese government has invested heavily in expert systems and other artificial intelligence projects. From 1982 to 1990, Japan spent $400 million to revolutionize computer processing, implement logic programming, and improve artificial intelligence.

Unfortunately, most of these ambitious goals were not realized; But it can be seen that the Japanese FGCP project indirectly inspired a generation of young engineers and scientists to step into the world of artificial intelligence. Finally, the FGCP budget ran out and AI was once again out of the spotlight.

The defeat of the world chess champion against Deep Blue; The first big step towards the development of decision-making

AI Ironically, AI found another opportunity to grow in the absence of government funding and hype. During the 1990s and 2000s, many important goals of artificial intelligence were realized. In 1997, the chess-playing supercomputer Deep Blue made by IBM was able to defeat Garry Kasparov, the grandmaster and world chess champion.

In this match, which was accompanied by great media fanfare, for the first time in history, the world chess champion lost to a computer, and it is referred to as the first big step towards the development of an artificial intelligence program with the ability to make decisions.

In the same year, Dragon System’s speech recognition software was implemented on Windows. This was another big step in the field of artificial intelligence, but for the purposes of interpreting spoken language. It seemed that there was no problem that machines could not solve. Even human emotions were opened to machines; The Kismet robot, created in the 1990s by Cynthia Breazeal at MIT, could understand and even display emotions.

Time; The best soloution for all the problems

Scientists still use the same methods for programming artificial intelligence as they did decades ago; But what happened now that we have reached such impressive achievements as ChatGPT chatbot and Dall-E image generator and Midjourney?

The answer is that engineers finally managed to solve the problem of computer storage limitations. Moore’s Law, which estimates that the memory and speed of computers will double every year, finally happened and even exceeded this limit in many cases. In fact, the reason for the defeat of Garry Kasparov in 1997 and the defeat of the Go board game champion Ke Jie in 2017 against Google’s AlphaGo program is due to this increase in computer speed and memory. This theorem explains the process of artificial intelligence research; we develop AI capabilities to the current level of computing power (in terms of processing speed and storage memory) and then wait for Moore’s Law to catch up with us again.

We are now living in the age of “big data”; An era in which we have the ability to collect a huge amount of information that is extremely difficult and time-consuming to process of them by humans. The use of artificial intelligence in various industries such as technology, banking, marketing, and entertainment has solved this difficulty to a large extent. The large language models used in the ChatGPT chatbot showed us that even if the algorithms are not very advanced, big data and massive computing can help AI learn and improve its performance.

There may be some evidence that Moore’s Law is slowing down, especially in the world of chips, but the growth of information is moving at breakneck speed. Advances in computer science, mathematics, or neuroscience can all push humanity past the limits of Moore’s Law. And this means human progress in artificial intelligence technology will not end soon.

Types of artificial intelligence

AI is categorized in different ways; Apart from the very general classification of weak AI and strong AI that we discussed at the beginning of the article, another common method divides artificial intelligence into four categories:

1) Reactive Machines, which are the simplest type of artificial intelligence and can only respond to current situations without using past experiences; Like Google search engine.

2) Limited Memory machines that can use some past data to improve decision-making; Like the authentication system in websites.

3) Theory of Mind, which is currently a hypothetical type of artificial intelligence that can better understand the feelings, emotions, and beliefs of humans and then use this information to make their own decisions.

4) Self-aware artificial intelligence, which is another hypothetical type of artificial intelligence that has reached self-awareness and can have feelings and thoughts similar to humans.

But the most practical category of artificial intelligence, which has nothing to do with hypotheses and theories and only describes what has been achieved so far, is “Machine learning” and “Deep learning”, which are some of them in almost all intelligence systems. Today’s artificial is used.


The best mid-range Xiaomi phones




The best mid-range Xiaomi phones
In this article, we introduce the best mid-range Xiaomi phones that offer satisfactory performance at a reasonable price.

The best mid-range Xiaomi phones

Today’s flagships are so expensive that you have to spend a lot of money to buy them. It is true that the performance of these devices is very successful and they can be trusted to do various tasks, their astronomical prices and the increase in the exchange rate have made most people buy mid-range phones.

Mid-range phones are phones that have better quality and offer good performance compared to budget devices. Among the well-known brands, Xiaomi’s mid-range phones are good options that meet many user needs.

In addition to the price of the phone, other factors such as build quality, suitable design, processing power, charging time, speed, efficiency, and warranty are other important features when buying a smartphone. For this reason, in this article, we collect the best mid-range Xiaomi phones and introduce them to you.

Table of Contents
  • The best mid-range Xiaomi phone
  • Redmi 12
  • Poco M6 Pro
  • Poco X6
  • The best mid-range Xiaomi phone for gaming
  • Poco F4
  • Poco X6 Pro
  • The best mid-range Xiaomi phone in terms of camera
  • Redmi Note 13 Pro 5G

The best mid-range Xiaomi phone

At the beginning of the article, we have gone to the best mid-range smartphones of Xiaomi, which offer good features and capabilities considering their relatively reasonable price. To buy these devices, you don’t need to spend a lot of money like buying flagships, and their performance is also satisfactory.

Next, we will introduce some top mid-range Xiaomi phones.

Redmi 12

Xiaomi Redmi 12 phone

As the cheapest mid-range Xiaomi phone on our list, the Xiaomi Redmi 12 has decent features that are enough for a wide range of users.

The material used in the body of the phone is all plastic, which may not be pleasant for some users; But considering the price and target users, it is normal. The screen size is 6.79 inches and its panel type is IPS; But since its resolution is FHD and its refresh rate is 90 Hz, the content being played will have good speed and quality.

The main camera is 50 megapixels and the selfie camera is 8 megapixels, which capture high-quality photos in good lighting conditions. The ultra-wide and macro cameras of Xiaomi phones do not perform very well and you cannot count on their photography.

If the other parts of the Xiaomi phone don’t catch your eye, probably the 12nm MediaTek G88 processor and the decent 8GB RAM capacity will. With such hardware, you can easily open various programs and not be afraid of hanging the phone. The phone’s processor is not suitable for heavy games; But in daily use, there is no shortage. Redmi 12 uses a 5,000 mAh battery that is fully charged in about 1 hour and 20 minutes with the 18-watt charger inside the box.

Poco M6 Pro

Front and back panel of Xiaomi Poco M6 Pro mobile phone black / Xiaomi Poco M6 Pro

Poco M6 Pro is one of Xiaomi’s new midranges that uses the new design language of this company’s products and is considered an attractive option.

The 6.67-inch screen of the Xiaomi phone uses FHD resolution and an OLED panel, which has good impact resistance with Gorilla Glass 5 coating; But the frame and body of the phone are made of plastic, which is not far from the mind considering its price range. Also, its 120 Hz refresh rate makes gaming and web browsing very smooth and smooth. This feature is less common in mid-range Samsung phones in this price range.

The Mediatek Helio G99 Ultra processor has a good speed in executing popular commands and games. The version we listed comes with 8GB of RAM and 256GB of storage, which sounds great for a mid-range phone.

The set of Xiaomi phone cameras may not perform as well as it seems from their megapixels. Xiaomi has used a 64-megapixel sensor for the main camera, which is also accompanied by ultra-wide and macro cameras. Camera performance is satisfactory only in good lighting conditions, and for low-light environments, you should limit your expectations.

Other features of the Poco M6 Pro include a 67-watt high-speed charger inside the box and a fingerprint sensor under the display, both of which can increase the value of purchasing the phone for many users.

Poco X6

Front and back panel of Xiaomi Poco X6 blue mobile phone / Xiaomi Poco X6

Xiaomi Poco X6, as a serious competitor of Galaxy A54 and of course Galaxy A35 in the market, has attracted a lot of attention. Xiaomi’s mid-range uses a relatively new Snapdragon 7s Gen 2 processor, which shows good stability and performance in heavy programs and games, and has no problem running light games with the best graphics. Unfortunately, the Poco X6 comes with the MIUI user interface and does not use HyperOS like the Pro version. Such a choice will definitely have an impact on receiving phone updates in the future.

Xiaomi’s attractive mid-range OLED display panel has a resolution of 1220 x 2712 pixels, which is slightly better than FHD resolution. Such specifications will bring smooth scrolling and performance along with a 120Hz refresh rate. Also, the display supports the Dolby Vision standard and thanks to the 12-bit panel, it can display 68 billion colors.

The main camera of the Xiaomi phone is 64 megapixels, which records high-quality photos in different light conditions; But since Poco series phones focus more on processing functions, its camera may not reach the Galaxy A54.

The body of the Xiaomi phone is entirely plastic; But the Victos Gorilla Glass cover is used to protect the screen, which is mostly reserved for premium and flagship phones. Poco X6’s battery capacity is 5100 mAh, which takes about 40 minutes to fully charge with the 67-watt charger inside the box.

The best mid-range Xiaomi phone for gaming

Our expectation from the best Xiaomi gaming phones is that they can provide acceptable hardware and visual performance, and this is related to several factors, including the refresh rate of the display and the power of the processor.

Among Xiaomi’s mid-range devices, there are options that, in addition to a relatively reasonable price, also offer satisfactory performance when playing games. We will introduce them next.

Poco F4

Poco F4

Currently, one of the best affordable phones in the field of gaming is the Xiaomi Poco F4 phone, which is equipped with Qualcomm’s flagship Snapdragon 870 processor.

Poco F4 is equipped with an OLED screen with a resolution of 1080 x 2400 pixels and a refresh rate of 120 Hz, which also supports HDR10 Plus and Dolby Vision technology. Xiaomi has considered a 64-megapixel sensor for the main camera, which is accompanied by 8 and 2-megapixel sensors for the ultrawide and macro cameras. The selfie camera is also 20 megapixels, which is considered a suitable option for video conversations with a suitable resolution.

A relatively large 4500 mAh battery with a 67W fast charger in the box, dual stereo speakers, and Gorilla Glass 5 protective cover are other features that improve the value of buying this gaming phone.

Poco X6 Pro

The front and back panel of the yellow Xiaomi Poco X6 Pro mobile phone / Xiaomi Poco X6 Pro

The basic version of Poco X6 Pro, which we introduced earlier, is considered one of the best mid-range Xiaomi gaming phones and has exceptional processing performance in various games.

Poco X6 Pro uses the MediaTek Dimensity 8300 Ultra processor along with 12 GB of RAM and 512 GB of UFS 4.0 storage space. The use of such powerful hardware in the mid-range of Xiaomi allows the Poco X6 Pro to run most games on the best graphics.

Poco X6 Pro’s 6.67-inch OLED screen has a 1.5K resolution and a 120Hz refresh rate and is capable of displaying 68 billion colors. Of course, like other Poco models, this phone does not have much definition in the camera department and uses a 64-megapixel sensor with optical image stabilization for its wide camera.

Fortunately, the Poco phone is equipped with HyperOS from the beginning and will receive operating system updates for up to three years. We recommend that you don’t miss the Poco X6 Pro review on Zoomit for a more detailed review and to see various tests.

The best mid-range Xiaomi phone in terms of camera

In the guide to buy the best Xiaomi phone, complete explanations are given about all Xiaomi devices that are worth buying; But if only the phone’s camera is the main criterion for your purchase, you should consider other Xiaomi phones.

Next, we will introduce the best mid-range Xiaomi phone that, considering its price, captures high-quality images and can be trusted for filming.

Redmi Note 13 Pro 5G

Redmi Note 13 Pro 5G

While the cameras of the 4G and 5G models of Redmi Note 13 Pro use the same technical specifications, due to the use of a different processor in the 5G version, the photos recorded in this model are of better quality.

Just like the Poco X6 that we introduced earlier, the Redmi Note 13 Pro 5G also uses the second-generation Snapdragon 7s processor, which, combined with the 200-megapixel Xiaomi camera, leads to very good results in various photography scenarios. For users who prioritize cameras in mid-range phones, Redmi Note 13 Pro takes clear photos in poor lighting conditions.

In the video recording department, Redmi Note 13 Pro can record 4K videos at 30 frames per second and 1080p videos at 120 frames per second, which seem to be excellent specifications for a mid-range phone.

Other specifications of the Xiaomi phone include an OLED screen with a refresh rate of 120 Hz, a 5100 mAh battery with a 67-watt high-speed charger, and a fingerprint sensor under the screen. For more tests and reviews, don’t miss the Redmi Note 13 Pro 5G and 4G review.

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How to install Windows 11 without a Microsoft account?




Windows 11
In this tutorial, you will learn how to start Windows 11 without the Internet and without the need to enter an email.

How to install Windows 11 without a Microsoft account?

Based on Microsoft’s decision and unlike how to install Windows 10, users must enter their Microsoft email or any other account to connect their Windows user account with that person’s email for the initial setup of Windows 11; Otherwise, users will not be able to complete the Windows 11 installation process.

This means that the user must be connected to the Internet to start Windows 11, and it is not possible to create a local account. This incident resulted in the protest of many users; Because in many cases, due to the lack of necessary drivers, users could not connect to the Internet in the Windows setup interface or Out of box experience, or they did not want to enter their email at all.

However, it is not impossible to install Windows 11 without the internet. According to its usual habit, Microsoft is not strict in the field of many of its decisions and policies, and like its own solution to avoid the lack of a TPM 1.2 chip for installing Windows 11 or existing solutions for installing Windows 11 on incompatible systems, with a few simple moves, you can force the connection to the Internet and Bypasses email log in at Windows startup.

If you are one of those people who are stuck on the Internet connection or email login screen when starting Windows, with the help of this tutorial, you can easily solve your problem and complete the steps to install Windows 11 without a Microsoft account.

Windows 11 setup without internet

There are 4 ways to boot Windows 11 without the internet that still work and are very easy to do.

Bypassing the Internet connection with Bypass code

If the Windows 11 setup steps are stuck on the Let’s connect you to a network screen due to the lack of Internet connection, the Next button will be grayed out until a stable connection is established, and you will not be able to proceed to the next steps.

Launching Windows 11 without internet

Not only in this situation but also if you need to enter the username and password through the portal to enter the network, you cannot do anything and you have to bypass this step. In this situation, follow the steps below:

  • In the mentioned screen, press the Shift+F10 keys to open the command prompt window.
    • Enter OOBE\BYPASSNRO and press enter.
Launching Windows 11 without internet
  • Next, your device will restart. Go through the setup process again until you reach the Let’s connect you to a Network page. Now, on this page, you will see that the I don’t have internet option has been added next to the Next option. Click on it.
Launching Windows 11 without internet
  • On the next page, click Continue with limited setup.
Launching Windows 11 without internet
  • After that, the page for creating a local account will be in front of you, and by entering the desired name and the password on the next page, the local account will be created and the Windows 11 setup process will be completed. If you leave the password box blank, the account will be created without a password.
Setup Windows 11 with local account

End the connection process with the Task Manager

On the same Let’s connect you to a network page, you can delete the running process that forces you to connect to the Internet and enter the Microsoft account by running the task manager.

  • Open the command line window by pressing the Shift + F10 buttons and type taskmgr and press enter to open the task manager.
Open Task Manager when installing Windows 11
  • You can also open the task manager window by pressing Ctrl + Shift + Esc.
  • After opening the task manager, look for Network Connection Flow in the Processes section. You can also use the search section to find it.
Open Task Manager when installing Windows 11
  • Then select Network Connection Flow and click on the End task option. After that, close the task manager window and type the word exit to exit the command line window and press enter.
  • Now you will be faced with loading animations and you will go directly to the local account creation section. Enter your desired name and continue the Windows setup process.

Remove the Internet connection with the command line

If you are unable to kill the internet connection process through the task manager, you can do it through the command line.

  • On the Let’s Connect you to a network page, press Shift + F10 to open the command line.
  • In the window that opens, enter the following code and press enter.
taskkill /F /IM oobenetworkconnectionflow.exe
Internet disconnection code
  • After the command is executed, close the command line window and continue the Windows 11 setup process.

Skip the Internet connection page with Alt + F4 buttons

Such a method may not work for all users, but if you cannot bypass the forced Internet connection and enter the Microsoft account with any of the above methods, on the Let’s Connect you to a network page, press the Alt + F4 combination buttons to force the Internet connection window.

Read more: The best-hidden features for Windows 11

If nothing happens after pressing the mentioned buttons once, try pressing the buttons several times in a row. Alt + F4 keys in the Windows environment can also be used to close running programs or open the shutdown menu.

The above methods work in all versions of Windows 11. If you encounter any problem in performing any of the steps, share with us in the comments section.

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Unveiling of OpenAI new artificial intelligence capabilities





OpenAI claims that its free GPT-4o model can talk, laugh, sing, and see like a human. The company is also releasing a desktop version of ChatGPT’s large language model.

 Unveiling of OpenAI new artificial intelligence capabilities

Yesterday, OpenAI introduced the GPT-4o artificial intelligence model, which is a completely new model of the company’s artificial intelligence, which according to OpenAI is a step closer to a much more natural human-computer interaction.
This new model accepts any combination of text, audio, and image as input and can produce output in all three formats. It can also detect emotions, allow the user to interrupt it mid-speech, and respond almost as quickly as a human during a conversation.
In the live broadcast of the introduction of this new model, Meera Moratti, Chief Technology Officer of OpenAI, said: “The special thing about GPT-4o is that GPT-4 level intelligence has been made available to everyone, including our free users. This is the first time we’ve taken a big step forward in ease of use.
During the unveiling of the model, OpenAI demonstrated the GPT-4o, which translates live between English and Italian, with its intuitive ability to help a researcher solve a linear equation on paper in an instant, just by listening to The breaths of an OpenAI executive give him advice on deep breathing.
The letter “o” in the name of the GPT-4o model stands for the word “Omni”, which is a reference to the multifaceted capabilities of this model.
OpenAI said that GPT-4o is trained with text, images, and audio, meaning all input and output is processed by a neural network. This differs from the company’s previous models, including the GPT-3.5 and GPT-4, which allowed users to ask questions just by speaking, but then converted the speech to text. This would cause tone and emotion to be lost and interactions to slow down.
OpenAI will make this new model available for free to everyone, including ChatGPT users, over the next few weeks, and will also initially release a desktop version of ChatGPT for Apple computers (Mac) for users who have purchased a subscription, starting today. They will have access to it. The introduction of the new OpenAI model took place one day before the Google I/O event, which is the company’s annual developer conference.
It should be noted that shortly after OpenAI introduced GPT-4o, Google also presented a version of its artificial intelligence known as Gemini with similar capabilities.
While the GPT-4 model excelled at tasks related to image and text analysis, the GPT-4o model integrates speech processing and expands its range of capabilities.

Natural human-computer interaction

According to OpenAI, the GPT-4o model is a step towards a much more natural human-computer interaction that accepts any combination of text, audio, and image as input and produces any combination of text, audio and image.
This model can respond to voice inputs in less than 232 milliseconds, with an average speed of 320 milliseconds, which is similar to the response time of humans in a conversation.
This model matches the performance of the GPT-4 Turbo model on English text and code with a significant improvement in converting text to non-English languages while being much faster and 50% cheaper via application programming interface (API). The GPT-4o model is especially better in visual and audio understanding compared to existing models.

What exactly does the introduction of this model mean for users?

The GPT-4o model significantly enhances the experience of ChatGPT, OpenAI’s wildly popular AI chatbot. Users can now interact with ChatGPT like a personal assistant, ask it questions and even hang it up wherever they want.
Additionally, as mentioned, OpenAI is introducing a desktop version of ChatGPT along with a revamped user interface.
“We recognize the increasing complexity of these models, but our goal is to make the interaction experience more intuitive and seamless,” Moratti emphasized. We want users to focus on working with GPT instead of being distracted by the UI. Our new model can reason text, audio, and video in real-time. This model is versatile, fun to work with, and a step toward a much more natural form of human-computer interaction, and even human-computer-computer interaction.
The GPT-4o model has also been extensively reviewed by more than 70 experts in areas such as social psychology, bias and fairness, and misinformation to identify risks introduced or enhanced by the newly added methods. OpenAI has used these learnings to develop safety interventions to improve the safety of interacting with GPT-4o. The members of the OpenAI team demonstrated their audio skills during the public presentation of this new model. A researcher named Mark Chen emphasized its ability to gauge emotions and noted its adaptability to user interruptions.
Chen demonstrated the model’s versatility by requesting a bedtime story in a variety of tones, from dramatic to robotic, and even had it read to him. As mentioned, this new model is available for free to all ChatGPT users. Until now, GPT-4 class models were only available to people who paid a monthly subscription.
“This is important to us because we want to make great AI tools available to everyone,” said OpenAI CEO Sam Altman.

Strong market for generative artificial intelligence

OpenAI is leading the way in productive AI alongside Microsoft and Google, as companies across sectors rush to integrate AI-powered chatbots into their services to stay competitive.
For example, Anthropic, a competitor of OpenAI, recently unveiled its first corporate proposal to Apple to provide a free program for iPhones.
“We recognize that GPT-4o audio presentations present new risks,” OpenAI said in a statement. Today we’re publicly releasing text and image inputs and text outputs, and in the coming weeks and months, we’ll be working on the technical infrastructure, post-training usability, and security necessary to release other methods. For example, at startup, audio outputs are limited to a set of predefined sounds and adhere to our existing security policies. We will share more details about the full range of GPT-4o methods in a future system.
According to the report, the generative AI market saw a staggering $29.1 billion in investment across nearly 700 deals in 2023, up more than 260 percent from the previous year. Predictions indicate that the yield of this market will exceed one trillion dollars in the next decade. However, there are concerns about the rapid deployment of untested services by academics and ethicists who are troubled by the technology’s potential to perpetuate prejudice.
Since launching in November 2022, ChatGPT’s chatbot has broken records as the fastest-growing user base in history, with nearly 100 million weekly active users. OpenAI reports that more than 92% of the world’s top 500 companies use it.
At the presentation event last night, Moratti answered some questions from the audience and when he spoke in fluent Italian and the artificial intelligence translated his words into English, the hall was filled with excitement.
There is more. This means the next time you take a selfie, OpenAI’s artificial intelligence can assess your exact emotions. All you have to do is select a selfie and ask ChatGPT to tell you how you feel.
It should be said that OpenAI employees were so happy that ChatGPT asked them why they were so happy!

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