This news update for Facebook app was published a couple of days ago. That facebook is losing People’s interest in the facebook app. People are getting more features in other apps as compared to Facebook. So lets see the detailed charts and discuss on this topic.

In the modern era of social media, the ways of communicating and expressing ideas have completely changed. Many platforms have come and gone while the importance of some platforms has remained constant throughout the eras. One of the oldest and most popular platforms among them is Facebook.

Facebook Success era:

The data published by Meta Company’s advertising media shows that in the year 2022, there were 435 million Facebook users in Pakistan. Despite Twitter being the top source of breaking news, Facebook is the most popular news source after YouTube. It emphasizes the importance of providing timely content on any topic. Which makes the users aware and starts the discussion.

After the success of Facebook, two other social media applications also came out which are very popular. The first platform is the photo and video sharing application Instagram. Which is perfect for supporting photos and videos with followers. Moreover, Instagram continues to add and update its features, which clearly makes the app more interesting and engaging for users.

Another such platform is Tik Tok which is relatively new and has become increasingly popular in the last few years. It is now the world’s most popular social media platform with over 50 million monthly active users worldwide.

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Facebook has been the most popular social media platform for a long time and is gradually losing its position. Although it was predicted to end by the year 2020, today we are in 2023 and Facebook App is still alive. But for how much longer? Many people believe that there will come a day when Facebook will completely disappear. But the data of Facebook shows that this application is working best at the moment.

But it is also said that the Facebook application is rapidly losing its popularity among teenagers and young adults. If compared to people over 30 years of age, young people use Facebook less and post on it less.

An Update for Facebook app is Very necessary Now:

There are several reasons for its unpopularity, ranging from user disinterest to privacy concerns. Many users are fed up with this application. And they are looking for something new and interesting. On the other hand, many users are concerned about their privacy, especially after the Cambridge Analytica scandal. Moreover, Facebook’s News Feed algorithm has made the app very difficult to understand and use, making it difficult to find what you want. Then many users have also become worried about the increasing number of sponsored content and advertisements in the Facebook app.

Despite being an old platform, people born after the year 2000 are 26.4% of its total users. 36% of Facebook users are over 45 years old. However, Facebook’s substantial organic reach makes it one of the most financially sound advertising platforms. Its promotional features have helped companies and organizations achieve their marketing goals. Facebook usage has remained constant since 2019, although its usage has decreased by an average of 6 minutes over the past 5 years.

To compete with Tik Tok, Facebook’s Parent company, Meta is paying special attention to short videos, including Facebook Reels. Reels started in 2020 with Instagram. Even the popularity of Instagram Reels was insufficient to sustain the interest of Facebook users. Perhaps this feature was not impressive for those who use this platform only for communication. Although Facebook and other apps have similar reels features for short videos, but TikTok has taken the lead in short videos.

As social networking sites continue to change, it is imperative that these platforms adapt to technology. Of course, today’s platforms like Facebook, Instagram, and Tik Tok will continue to evolve and innovate in a race to outpace one another. Moreover, the popularity of other platforms like Clubhouse and Discord is also increasing. And it’s changing the way we communicate. It is likely that the popularity of these platforms will continue to grow and many users will turn to it in the future.

Facebook Is not Dying at the moment but May be very soon:

As for the question of whether Facebook is really dying? So it can be said that Facebook has changed the social media landscape permanently. And whether we admit it or not, there is no doubt that it is playing an important role in our lives. This is why it would be premature to declare Facebook dead. However, Facebook is a social media platform and like other platforms like MyApps, it will have its ups and downs and one day it will disappear from our lives completely.

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AI search war is still continue between Google and microsoft. In this scenario the first quarter of this year 2023 has been passed. And all the big tech giants earnings are revealed regarding this quarter. In Q1 there are some shocking reports about earnings of Microsoft, Google and Meta.

All the companies mentioned 30% more earnings because of AI. Mark Zuckerberg has also claimed more that Meta has earned more revenue after AI boost.

As we know that 2023 is the year of the AI revolution. So each company has washed its hands in this AI world. But in the last decade, Google was leading the search engine competition.

But since the AI has strengthen its presence, google is rolling back far behind in the latest technology. We can not say that google is dead but Microsoft has adopted some tricky strategies, due to which the company is rising surprisingly. Especially in the search Field.

As we all know that Google search engine is the world’s best search engine in the world. But Since the release of chatGPT, and chat GPT-4, people are more liking the AI powered chatbots.

The tech war boosted when Microsoft invested a huge amount of Dollars in Open AI, an artificial intelligence company. Microsoft fully backed the company with strong Financial Support. And also it had added the Open AI’s GPT models to its own search engine known as Bing or Bing Chat.

In this scenario, Google responded by announcing it’s own AI powered chat bot and model called BARD. But it failed to achieve what the OpenAI’s ChatGPT has done.

There are some reasons that why Google’s AI chatbot failed to OpenAI’s ChatGPT.

The first reason is that Google is a tech company whose most of the revenue comes from it’s search engine. So purely, google was not taking the AI revolution so seriously. And focusing on the improvement of the search engine business models only. While OpenAI is purely an artificial intelligence company. That had trained many AI models and all the world is using the OpenAI’s model.

On the other hand, Microsoft has also nothing to do so much with AI. But its investing strategy in OpenAI was the turning point. If you can not beat them in Technology, Invest in them and collaborate with them.

Microsoft is slowly winning the AI game:

So Microsoft purely picked up this opportunity, as OpenAI was an independent organization and it needed some investments to achieve more goals.

Here is another flaw to be mention is that Elon Musk started the OpenAI company, he funded it and the cuttoff himself from it. And now it is in Control of Microsoft. Though Elon Musk has announced another AI startup to rival ChatGPT, but the value that ChatGPT has gained is looking impossible to beat in AI field.

So, looking forward to all these things, experts are saying that Microsoft is now slowly becoming the King of AI world. But it will be decided in future that who is the king as Google is also working on its AI powered Chat bot.

And the war is not over yet. Its just the starting of AI powered tools war. The company who maintained its reputation will be the winner. But Till now microsoft has aced the war.

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Artificial Intelligence versus machine learning is not a big mystrey to solve. In the technology sector, there are two terms that are often used interchangeably: Artificial Intelligence (AI) and Machine Learning (ML). Despite their close association, these terms refer to different concepts and have distinct applications in various fields. Although the two fields are related, they have distinct differences. In this article, we will explain what machine learning and AI are, and we will compare the Artificial Intelligence versus machine learning in ten solid points.

Artificial Intelligence vs Machine Learning – Explained

The fields of Artificial Intelligence (AI) and Machine Learning (ML) have garnered considerable interest and have been hot topics in the technology industry in recent times. While both fields are related, they are also distinct from one another. Both AI and ML are transforming the way we live and work by enabling machines to perform complex tasks and make decisions without human intervention.

Artificial Intelligence (AI)

AI is the broader field of creating machines that can perform tasks that typically require human intelligence. It is the science of developing intelligent machines that can think, learn, and solve problems like humans. AI systems are designed to simulate human intelligence and perform tasks that require human-level intelligence. The goal of AI is to create machines that can perform tasks that would otherwise require human intervention. AI encompasses various techniques, including machine learning, natural language processing (NLP), robotics, and expert systems.

Machine Learning (ML)

ML is a subset of AI that focuses on the ability of machines to learn from data, make predictions, and improve their performance without being explicitly programmed. In other words, ML algorithms can automatically identify patterns in data and improve their performance over time through experience. ML is about training computers to perform specific tasks without human intervention continually.

Types of Machine Learning

There are three main types of ML: supervised learning, unsupervised learning, and reinforcement learning.

1. Supervised Learning: Supervised learning is the most common type of ML, where algorithms learn from labeled data. The data is labeled with the correct answer or output, and the algorithm learns to make predictions based on that data.
2. Unsupervised Learning: Unsupervised learning is a type of ML where algorithms learn from unlabeled data. The data does not have any predefined labels or outputs, and the algorithm must find patterns and relationships in the data on its own.
3. Reinforcement Learning: Reinforcement learning is a type of ML where an algorithm learns by interacting with an environment and receiving feedback in the form of rewards or penalties.

Artificial Intelligence versus Machine Learning – Comparison:

1. Scope: AI is a broader field that encompasses machine learning and other techniques, whereas ML is a subset of AI.
2. Function: AI is designed to simulate human intelligence and perform tasks that require human-level intelligence, while ML is focused on making predictions or decisions based on data.
3. Approach: AI is often based on rule-based programming, where the system is programmed with explicit rules for decision-making. ML, on the other hand, uses statistical methods to learn from data and improve its performance over time.
4. Complexity: AI systems tend to be more complex and require more computational power than ML systems.
5. Flexibility: ML algorithms can be easily adapted to new data or tasks, whereas AI systems are typically designed for specific tasks and may not be as flexible.
6. Human intervention: AI systems often require more human intervention and supervision than ML systems, which can operate autonomously.
7. Performance: AI systems can often outperform ML systems in complex tasks that require human-level intelligence, but ML is more effective for repetitive or high-volume tasks.
8. Data requirements: AI systems often require large volumes of data to train effectively, whereas ML can be trained on smaller datasets.
9. Cost: AI systems tend to be more expensive to develop and maintain than ML systems.
10. Applications: AI is used in a wide range of applications, including self-driving cars, robotics, and natural language processing, while ML is used for tasks like fraud detection, recommendation systems, and image recognition.

Summary (Artificial intelligence versus machine learning):

In summary, while AI and ML are related fields, they have distinct differences. AI is a broader field that encompasses various techniques, including machine learning, while ML is focused on making predictions based on data. Understanding the differences between AI and ML is essential for businesses and individuals looking to implement these technologies effectively. Both AI and ML are transforming the way we live and work, and their impact will only continue to grow in the years to come.

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