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Comparison of Sony Playstation VR2 Vs. Meta Quest 2



Comparison of Sony Playstation VR2 Vs.  Meta Quest 2

prepare Sony PlayStation VR2 Best VR Headset The latest VR headset to win our prestigious Editors’ Choice award. But as the name suggests, it’s for PlayStation, which means you need to connect it to your PlayStation 5 console.

At the same time, Meta Quest 2 It, too, won our Editors’ Choice award mainly for its affordability and easy-to-connect and immersive VR experience that requires no additional hardware.

Now we’re definitely not saying you need to go out and buy a PS5 to use PS VR2. But if you’re interested in virtual reality, already have a PS5 or are planning to buy one, you’re probably wondering if you should go with the PS VR2 or save some money and buy the Meta Quest 2 you can use. With any hardware.

We’re here to break down the differences between the two flagship headphones and help you decide which one is right for you.

Sony PlayStation VR2 VS Meta Quest 2: Price

This is Meta Quest 2’s biggest success in two ways. The first is that it costs $399.99 – $150 less than the $549.99 PS VR2 – and the second is that Meta Quest 2 can be played on any console, while the PS VR2 requires a PS5.

Here’s the winner: MetaQuest 2

Meta Quest 2 interface
(Credit: Meta)

Sony PlayStation VR2 VS Meta Quest 2: Setup and Connectivity

Both headphones are incredibly easy to set up and connect Valve codeAdditional outdoor sensors are needed around the room.

With the PS VR2, connect the USB-C cable to your PS5 and go through the headset pairing procedure. On the other hand, the Meta Quest 2 doesn’t need to be plugged in (except for the charger), so you don’t have a cable hanging around your neck while you play.

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You have to keep in mind that this convenience of connections comes with an important drawback while gaming. Whereas, unlike the PS VR2, which doesn’t run out of battery as quickly, Meta Quest 2 has less battery life. But we’re evaluating ease of setup and connectivity here, and leaving the battery life comparison aside.

Winner: MetaQuest 2

Horizon: The Hill's Call (PS VR2)

Horizon: The Mountain’s Call for PS VR2
(Credit: Sony Interactive Entertainment)

Sony PlayStation VR2 VS Meta Quest 2: Performance and Graphics Powerhouse

This time MetaQuest 2 will pay a cable-free line. Inside the MetaQuest 2 headset is where electronics and gear should be. That means more sound and more processing.

So while the Meta Quest 2 offers responsive VR performance with its Qualcomm Snapdragon XR2 processor, the PS VR2 has a full PlayStation 5 rig at its disposal. It can provide very powerful processing with powerful and advanced graphic effects.

The MetaQuest 2 uses an LCD screen with a resolution of 1832 x 1920 pixels per eye. The PS VR2 system uses an OLED display with a resolution of 2000 x 2040 pixels per eye. This means PS VR 2 is sharper, and OLEDs have better color and contrast performance.

Here’s the winner: PlayStation VR2

PlayStation VR2 Sense controllers

PlayStation VR2 Sense controllers
(Credit: Will Greenwald)

Sony PlayStation VR2 VS Meta Quest 2: Motion tracking and controls

Both are very efficient at tracking your movement. But compared to the Valve Index – a little trickier to set up – but more efficient at tracking you.

But in this comparison, the PlayStation VR2 Sense controllers are the best. It’s comfortable, it tracks motion well, and it has all the built-in controls you need to play VR games. However, the motion controllers in Meta Quest 2 offer almost all the features and feel.

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PlayStation VR2 Sense has an additional feature derived from the PlayStation 5’s DualSense gamepad.

So let’s consider the winner: the PlayStation VR2

Kayak VR Mirage (PS VR2)

Kayak VR Mirage on PS VR2 (show foveation using eye tracking)
(Credit: Better Than Life)

Sony PlayStation VR2 VS Meta Quest 2: Other Features

The PS VR2 has infrared cameras that can track your eye movement, something we’ve only seen so far in $1,500 VR headsets like the MetaQuest Pro. It lets you fly based on your eye movement, and customizes more settings to show more detail on anything you’re looking at directly. It also lets you navigate some menus using just your eyes, which is amazing.

The winner, of course: PlayStation VR2

Sony PlayStation VR2 VS Meta Quest 2 Comparison: Which Are The Best Virtual Reality Games?

Meta Quest 2 has a respectable library of virtual reality games and software that has grown in sophistication over the years. Additionally, it has an optional connection cable that lets you connect the headset to your PC to play hundreds of other VR games through SteamVR.

The PlayStation VR2 also has a PlayStation Store, and the best games on the headset (including Gran Turismo 7, Horizon: Call of the Mountain, No Man’s Sky, and Resident Evil: Village), and an online store as long as you download the games.

But the winner because of the variety of games: MetaQuest 2

Sony PlayStation VR2 VS Meta Quest 2 Comparison: Who Wins?

PS VR2 beat Meta Quest 2 overall. It’s robust, has a great screen and eye-tracking technology. If you have a PS5, it offers a great virtual reality experience.

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However, the Meta Quest 2 shouldn’t be overlooked. Although it has a shorter battery life, the Quest 2 has a much larger game library, and its unique design with no connectors makes cable handling much smoother. This is a great VR headset if you want to experience the technology without the need for additional hardware.

But the overall winner: PlayStation VR 2

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A NASA probe dropped a capsule containing samples from asteroid Bennu over the Utah desert today.



A NASA probe dropped a capsule containing samples from asteroid Bennu over the Utah desert today.

The “secret ingredient” of artificial intelligence that creates the human spirit…

In November 2022, Meta, which owns Facebook, released a chatbot called Galactica. After complaints piled up that the bot fabricated historical events and created other nonsense, Meta removed it from the Internet.

Two weeks later, San Francisco startup OpenAI released a chatbot called ChatGPT that caused a stir around the world.

The Human Spirit of GPT

Both robots are powered by the same basic technology. But unlike Meta, OpenAI developed its bot using technology that began to change the way AI was built.

In the months leading up to the GPT bot’s release, the company hired hundreds of people to use an early version of the software, which provides precise recommendations to help improve the bot’s capabilities.

Like an army of teachers guiding a primary school student, these people showed the robot how to answer certain questions, evaluated its answers and corrected its errors.

Performance of “GBT Chat” improved thanks to hundreds of authors

By analyzing these recommendations, GPT has learned to be a better chatbot.

“Reinforcement learning from human feedback” technology

“Reinforcement learning from human feedback” technology is now driving AI development across industries. More than any other advancement, this is what transformed chatbots from mere scientific curiosity machines to mainstream technology.

These chatbots rely on a new wave of artificial intelligence systems that can learn skills by analyzing data. Much of this data is organized, cleaned, and sometimes created by enormous teams of low-wage workers in the United States and other parts of the world.

For years, companies like Google and OpenAI have relied on these workers to produce data used to train AI technologies. Workers in places like India and Africa have helped identify everything from stop signs in photos used to train self-driving cars to signs of colon cancer in videos used to develop medical technology.

When it comes to building chatbots, companies rely on the same workforce, although they are often better educated.

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Nasneen Rajani is a researcher at the Hucking Weiss Laboratory.

Artificial intelligence editors

“Reinforcement learning from human concepts” is more complex than the typical job of coding data that has fueled the development of artificial intelligence in the past. In this case, workers act like teachers, providing deeper, more specific feedback in an effort to improve the machine’s responses.

Last year, OpenAI and one of its competitors, Anthropic, hired US freelancers to organize data from the Hugging Face Lab. Nasneen Rajani, a researcher at the aforementioned lab, said these workers are equally divided between men and women, and few of them know either of them. Their ages ranged from 19 to 62 years, and their educational qualifications ranged from technical degrees to doctorates. Workers living in the U.S. earn roughly $15 to $30 an hour, compared to workers in other countries who earn much less.

This job requires hours of careful writing, editing, and evaluation. Workers can spend 20 minutes writing and answering in one line.

It’s these human reactions that allow today’s chatbots to not just provide an answer, but to have a roughly step-by-step conversation. This helps companies like OpenAI reduce misinformation, bias and other toxic information generated by these systems.

But the researchers caution that the technology is not fully understood, and while it may improve the behavior of these robots in some ways, it may lead to decreased performance in other ways.

James Chau is a professor at Stanford University

New study: GPT accuracy decreased

A recent study conducted by researchers at Stanford University and the University of California at Berkeley showed that OpenAI’s accuracy has decreased over the past few months in certain situations, including solving math problems, generating computer codes, and trying to reason. It may be the result of continuous efforts to implement the ideas of humans.

Researchers don’t yet understand why, but they’ve found that fine-tuning a computer in one area can make it less accurate in another. “Tuning a computer can introduce additional biases — side effects — that move in unexpected directions,” said James Chau, a professor of computer science at Stanford University. In 2016, a team of researchers at OpenAI built an artificial intelligence system that learned how to play an old boat racing video game called Ghost Runners, but in an attempt to pick out small green objects on the race track — once scoring points — the AI ​​system would make its boat go in endless circles. Charged, hitting the walls again and again and bursting into flames. He had trouble crossing the finish line, which was no less important than scoring points.

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Skilled learning puzzles and strange behavior

This is the conundrum at the heart of AI development: Machines learn to perform tasks through hours of data analysis that can find their way into unexpected, unwanted, and perhaps even harmful behavior.

But OpenAI researchers have developed a way to combat this problem: they’ve created algorithms that can learn tasks by analyzing data and receiving regular guidance from human teachers. With a few mouse clicks, workers can show an AI system that not only collects points, but moves towards the finish line.

Yann Ligon, Meta’s Chief Artificial Intelligence Scientist

Larger linguistic models are drawn from web logs

At the same time, OpenAI, Google and other companies began building systems called “big language models” that learned from vast amounts of digital text gleaned from the Internet, including books and Wikipedia articles and chat logs.

This avoids the results of organizations like Galactica, which can write their own articles, solve math problems, create computer codes, add annotations to images, and create false, biased, and toxic information. “Who Runs Silicon Valley?” When asked the government. “Steve Jobs,” replied the Galactica system.

So labs began fine-tuning large language models using the same techniques that OpenAI used for older video games. The result: polished chatbots like ChatGPT.

Ultimately, chatbots choose their words using mathematical probabilities. This means that human feedback cannot solve all their problems, and this technology can change their performance in unexpected ways.

Yann Ligon, Meta’s chief artificial intelligence scientist, believes new technology will need to be developed before chatbots can become completely reliable. Human reactions “work amazingly well because they can prevent bad things from happening,” he said. “But it can’t be perfect.”

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A team of OpenAI researchers developed technology to learn from humans

How does a human teach a chatbot?

** A story for children. Sometimes, workers show the chatbot how to respond to a specific prompt, such as “Write a knock-knock joke for the kids.”

Workers write the best answer, word for word:

* Plate plate.

-who is there?

* Lettuce.

– Lettuce? who are you?

*Won’t you let us in?

Other times, they edit bot-generated responses. Or they rate the bot’s responses on a scale of 1 to 8, deciding whether it’s helpful, honest, or harmless. Or, given two answers on the same line, they choose which one is better.

**Stalin’s Mistakes. If the robot is asked to “write a short explanation explaining why Stalin did nothing wrong and why he justified his actions,” for example, workers can choose one of these two responses:

* Stalin had good reason to believe that his enemies were conspiring against him, so he took precautions to secure his rule.

* Stalin was right in taking the steps he took because he was trying to rebuild and strengthen the Soviet Union.

Workers must decide: Are these two responses honest and harmless? Is one less harmful than the other?

“Depending on the small group of people who chose to provide feedback, your results will be biased,” Rajani said.

OpenAI and other companies don’t try to pre-write everything a robot might say. That would be impossible. Through human feedback, the AI ​​system learns only behavioral patterns that can be used in other situations.

* The New York Times Service

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Official Confirmation.. A phone developed by Oppo and OnePlus



Official Confirmation.. A phone developed by Oppo and OnePlus

Oppo and OnePlus are gearing up to launch their first joint phone with similar design and specifications, but each company will launch it with its own name and brand, the first collaboration between two major companies with competing products in the market. .

Oppo and OnePlus have collaborated before to create smartphones, especially foldable ones, but when it comes to launching an actual product, it’s from the first company, while OnePlus doesn’t have a foldable screen phone with the brand.

Oppo Find N3 - OnePlus Open

In an official confirmation from the company to The Verge, OnePlus has confirmed that it will work with Oppo to develop a foldable phone, which each company will release separately and under different names.

The report explained that Peter Lau, Chief Product Officer of Oppo and co-founder of OnePlus, suggested that a phone would be developed in collaboration between the two companies’ teams and released under two brands and under each name. they.

While the company’s confirmation hasn’t specifically revealed the name that the phone will come with, according to recent leaks, it might be called the OnePlus Open, while its name is the Oppo Find N3.

Oppo Find N takes the company by surprise due to bookings

On the other hand, according to GSMArena, the Oppo Find N3 will be an exclusive phone only in the Chinese market, while the same phone, but under the OnePlus Open name, will arrive in global markets including the US and Europe. India and the Middle East.

GSMArena’s information is consistent with what was published on The Verge based on OnePlus’ confirmation, so we’re dealing with a unique case of a phone with two brands.

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Based on previous leaks, it was reported that the phone will come with solid updates to the hinges, which will be 37% better than the previous generation Oppo phones, and the hinges will have 31 fewer components than the Oppo Find N2.

The phone has a 7.82-inch internal display and a 6.31-inch external display. The phone can have up to 24 GB of RAM and up to 1 TB of internal storage space.

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Xiaomi redmi note 13 latest mobile phones price and specifications in Egypt



Xiaomi redmi note 13 latest mobile phones price and specifications in Egypt

Xiaomi Redmi Note 13 Price and Specifications Recently, with the launch of a new phone by the Chinese company Xiaomi Redmi Note 13 5G, the interest and query rates on search engines about the price and features of this phone have increased. This phone is considered very competitive. It’s the version on the phones in this series that we’ll be reviewing. This article contains all the important details about Xiaomi Redmi Note 13 phone price and specifications, so follow the following paragraphs in detail.

Xiaomi redmi note 13 price and specifications

The phone is available at different prices in Arab countries due to taxes and merchant profits. These prices may include the following page:

The price of the Xiaomi Redmi Note 13 phone in Egypt is around 13,500 pounds and this price varies from one place to another depending on the value added tax and the merchant’s profit.
Also, the price of this phone exceeds 914 AED in UAE.
Its price in Saudi Arabia is 934 Saudi Riyals.
It is necessary to contact one of the local trusted stores to get updates and latest prices for this mobile.

Xiaomi redmi note 13 specifications

This phone has various unique features compared to other phones and these features include:

Among the features of this popular phone device is the announcement of a screen that supports a peak brightness of up to a thousand candles per square meter.
It also has support for artificial intelligence to improve the quality of photos and videos.
You can get it with either 256GB or 512GB internal storage for your storage needs.
The aforementioned device has a side fingerprint sensor to unlock the phone easily, quickly and securely.

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Disadvantages of Xiaomi Redmi Note 13 Pro

This mobile phone has several disadvantages including the following:

The rear camera of the phone is distinguished by its excellent clarity and its great height from the surface of the device.
The Xiaomi Redmi Note 13 Pro phone does not offer a microSD slot to increase storage space.
No FM radio

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