Bing Video Creator is a brand-new AI video production tool from Microsoft. With just a description of what they would like to see, users may now create brief AI films. The function is comparable to that of Bing Image Creator, which uses AI to generate images in response to user input.
The Sora model from OpenAI powers the video tool. Bing Video Creator is now free and accessible through the Bing mobile app. It can produce five-second videos based on text prompts. It is anticipated that desktop access will soon be available.
According to Microsoft, the new tool would enable users to make basic video clips in plain language without the need for sophisticated editing software.
Bing Video Creator puts the power of video creation at users’ fingertips, whether they are letting their creativity run wild, bringing a tale to life, or searching for the ideal video to express their thoughts, according to Microsoft’s official blog post announcement.
Steps for Users to Follow
The Bing mobile app, which is accessible to iOS and Android users, must be downloaded in order to use Bing Video Creator. He has two options within the app: either put “Create a video of” into the search field or tap the bottom-right button and choose “Video Creator”.
The new artificial intelligence video generator will start making a video that fits his description when he enters a prompt, like Otter and a capybara sipping cocktails while on vacation in Hawaii, lounging on a beach hammock.
Microsoft points out that how detailed prompt determines the output’s quality. Something like a man in a blue tracksuit running along a foggy mountain route at sunrise, in slow motion, provides the AI more to work with than a vague request like “a person running,” which might not result in a meaningful clip. Accuracy is increased by including details like tone, objects, motion, and setting.
More Offerings of Bing Video Creator
The Bing video generator, on the other hand, can produce videos up to five seconds long and in vertical format (9:16). According to Microsoft, work is underway on a horizontal format (16:9).
Up to three videos can be created by users at once; if all available slots are taken, the user will have to wait for one to finish before beginning another. He will receive a notification as soon as the video is created.
The AI-generated video can then be downloaded and shared on social media or sent as a link. For a period of ninety days, the videos will be accessible for viewing and reuse. Naturally, like other AI technologies, this new one also raises safety concerns.
Microsoft claims to have addressed these issues by incorporating safeguards into the new video production tool. Prompts identified as dangerous will be blocked by the platform, and users will be informed of this.
In accordance with the C2PA standard, every video produced by the AI tool will also include digital credentials designating it as such. Microsoft claims that in order to reduce the possibility of abuse, it is depending on both its own extra security measures and OpenAI’s safety filters in Sora.
Generative AI has created quite a buzz lately, and people are curious. Since OpenAI launched ChatGPT in November last year, it has got 100 million users putting it to good use. And believe it or not, it is doing a pretty good job for the intended purpose. As a generative AI Chatbot trained on a massive dataset of dialogue-based texts and codes, OpenAI’s ChatGPT has captured the attention of literally everyone who is even slightly keeping up tabs on new tech, and it has got 100m users to prove my point.
So, what is generative AI, how do people use it to search queries, and how does this generative AI search work?
Well, first thing first. Generative AI is a kind of machine learning (ML) that uses algorithms to create new data from existing datasets of texts, audio, visuals, and codes, that can be used for various tasks such as image generation, text summarization, audio and video generation, and natural language processing. ChatGPT is also a generative AI-based chatbot, capable of having human-like conversations, but way more powerful and efficient than Siri and Google Assistant.
At present, OpenAI’s ChatGPT is freely available for people to try out the limited capabilities of this generative AI-based conversational tool— but its newer and upgraded version, ChatGPT Plus, is not free. Users can still take a USD 20 subscription plan to use the new GPT-4 (a large language model) based- ChatGPT Plus, which offers larger context as input and can have more extensive and more creative content than its predecessor.
Microsoft also integrated OpenAI’s GPT-4 large language model customized specifically for search in its Bing Search and launched it as the ‘New Bing’. In a blog post, Microsoft says,
“New AI Bing is an AI-enhanced web search experience that can provide you with better search, more complete answers, a new chat experience and the ability to generate content.’’
Microsoft Chairman CEO, Mr. Satya Nadella, on the day of its launch, said that AI would fundamentally change every software category, starting with the largest of all being the search category. He added, “Today, we’re launching Bing and Edge powered by AI copilot and chat, to help people get more from search and the web.’’
Although, the new Bing search is not yet available for everybody to use as Microsoft is yet to roll it out for everyone.
For a moment, you’d wonder where is Google— the company which ruled web searches over the past two decades. Well, Google is not behind in this Generative AI race. It’s working on its very own Generative AI chatbot named Bard— based on Google’s large language model, LaMDA (Language Model for Dialogue Applications). Google announced it in its 2021 annual Google I/O meet.
Google CEO Sunder Pichai on February 6, one day before the launch of Microsoft’s new Bing AI, introduced Bard in a blog post. “Bard seeks to combine the breadth of the world’s knowledge with the power, intelligence, and creativity of our large language models”, said Mr. Pichai.
Google says that it aims to bring the benefits of AI into our everyday products, and it isn’t in the race for AI first. Perhaps that is why Google is behind Microsoft and playing catch up, but there are other participants in this AI race tool. Apple Inc. is also working on its own AI model, and so is IBM.
The Generative AI Search
Search, as we know it, is simply opening our favorite web browser and search engine— Bing, Yahoo, or Google, and typing in the query we want to look for. Sometimes it’s not even a query. We simply type in the word ‘Cat’, and the search engine comes up with a list of websites that it believes have the answer to our questions (the input) accurately. Well, that is how keyword-based traditional search works.
The generative AI search, on the other hand, is a relatively new technology that uses machine learning and natural language processing to search for information. It works by analyzing large amounts of data and generating new, relevant results based on the input provided. The process involves gathering data from multiple sources such as websites, databases, or social media platforms like Twitter or Facebook. This data is then analyzed using algorithms designed particularly for the task at hand—in this case, digging through vast amounts of information quickly and accurately finding what you are looking for— all without you having manually look through each piece.
The AI-based algorithm looks at patterns in the text that indicate specific topics are related, thus, helping to narrow down your results even further before presenting them back out again as an organized list with all relevant options included within it.
The next step involves taking those generated results and running them against various other sources, such as images or videos if necessary; this allows you to get a better understanding of what exactly was found during your initial query process – giving users access not only textual but also visual content when searching online too.
Finally, once everything has been collected together into one place, then sort these items according to their relevance level – making sure that only the most relevant pieces appear first, and the lesser ones stay towards the bottom part where nobody would bother looking anyway all this while presenting it to you in a human-like output. Well, that’s the gist of it.
You must understand that the algorithm searches through all kinds of data, be it text, image, audio, or video because generative AI is not just limited to text.
Ultimately generative AI searches provide you with an efficient way of finding answers quickly regardless you know anything about the topic beforehand or not – allowing you to save time (well, time is money!) while still getting quality output every single time.
What are Generative AI models?
How Generative AI Search Differs from Traditional Web Search
Google has, time and again, emphasized that it uses AI (BERT, MUM) to give you quick and accurate results, but generative AI search is quite different from traditional searching. For one, it uses deep learning models instead of keyword-based indexing systems like those used by most popular web browsers today.
Deep learning models can understand complex relationships between data points within a dataset, allowing them to skillfully understand what users are searching for when they enter their queries into the system. For example, if someone were searching for “Italian restaurants near me” on Google or Bing, these services would typically return listings based solely on keywords entered by the user without considering any additional factors such as location or cuisine preference—but with an advanced generative AI system in place these criteria could be taken into account as well resulting in much more accurate recommendations are tailored specifically to meet per needs.
Google and ChatGPT
Generative AI Search also allows you to enhance your search results through conversation and generate the relevant answers in a human-like output while providing you with link(s) to the resources it compiled the results from. Another advantage that comes with using an advanced generative AI system over conventional ones is its ability to identify patterns amongst the vast amount of data and produce the most relevant results without requiring you to put too much effort or time into researching your query firsthand.
Generative AI searches can generate more relevant results than regular keyword-based searches because of their ability to understand natural language queries and return personalized recommendations based on user preferences. Generative AI search would certainly revolutionize web search, but what matters most is accurate and unbiased AI, as the results can only be as good as the training data set. While Microsoft has already launched its New Bing AI and Chat with its enhanced edge web browser, Google is not rushing into the AI race and improving its generative AI-based chatbot Bard.
FAQs
What is Generative AI?
Generative AI is a kind of machine learning (ML) that uses algorithms to create new data from existing datasets of texts, audio, visuals, and codes, that can be used for various tasks such as image generation, text summarization, audio and video generation, and natural language processing.
How does Generative AI search work?
The generative AI search, on the other hand, is a relatively new technology that uses machine learning and natural language processing to search for information.
The simplest yet most obvious conclusion would be that it is too early to say whether ChatGPT is a threat to search engines or not. However, we’ll admit that ChatGPT is a powerful tool that has the potential to revolutionize the way we interact with computers. In fact, with the launch of GPT-4, it has done the unimaginable— and, if it delivers on its generative AI capabilities, as promised, it will transform the job market, as reported by Goldman Sachs, an investment bank in the United States.
ChatGPT, developed by OpenAI, is a gigantic language model (LLM) chatbot. It is trained on a massive dataset of text and code and can generate text, translate languages, and write different kinds of creative content. It can answer your questions in an informative way with more context.
With the creation of ChatGPT and seeing its potential to answer people’s questions in a humanized way, some people now believe that ChatGPT could pose a threat to search engines like Google, Bing, and others. The premise is that ChatGPT can generate text that is indistinguishable from human-written text, and it can answer questions more quickly and accurately than search engines, so what is stopping people from not ever going back to the primitive search engines?
Another premise is the fact that ChatGPT can create longer, human-like text and that it could be used to create fake news articles, blog posts, and other forms of content that could be used to deceive people on search engines. This is quite true as there was a case of CNET, a prominent technical news websitethat wrote some AI-generated articles and published them. Google search engine also approved and ranked these articles like it usually does. The problem, however, was that these articles were full of inaccuracies, and most of them had to be revised by human beings.
One more premise is that ChatGPT can answer questions more quickly and accurately than search engines. This means that it could provide users with the information they need faster and more easily. Moreover, it is still under development— having the potential to become even more influential in the future, it could eventually become an even more reliable and efficient way to find information than search engines.
If you think about it, many of these premises are quite founded and make a good case. ChatGPT is quite good, and soon in the future, will be even better with its responses. However, there are still a few good reasons to conclude that ChatGPT is not a threat to Search Engines.
Why Isn’t ChatGPT A Threat To Search Engines?
Now that we have seen some premises on how ChatGPT can be a threat to Search Engines, let me explain how it is not happening, at least not soon.
Firstly, ChatGPT is trained on a restricted dataset of text and code, meaning it may not be able to answer questions about topics that are not covered in its training data. After all, it only knows what it has been trained on so far. Even though it is self-learning and it can improve its responses, its training is primitive in comparison to Google Search Engine (or Bing, for that matter). Google has had the hegemony in the web search area for years now and it has access to a massive dataset of text and code, including books, research papers, articles, websites, and other forms of data, which is constantly being updated.
Secondly, ChatGPT cannot understand the context of a question many times. Although GPT-4 now supports more extended context and can consider about 25000 words as input, it still may not be able to provide the most relevant or helpful answer to a question. Search engines, on the other hand, have access to a much broader range of information than ChatGPT and are better at understanding the nuances of human language. So, a search engine can provide more relevant and helpful search results than ChatGPT.
The Hegemony of Google Search
And lastly, search engines are pervasive. With smartphone penetration at 70.95% in 2023 in India and 72.17% in the USA in 2021, and 67% in 2021 globally, search engines (especially Google Search) have become the go-to option for searching anything and everything online, like it is natural. Google Search engine has a market share of 93.18%, as per Statcounter. This enormous number tells the story of Google’s hegemony over other search engines. Google launched its Android platform in 2007 and quickly gained traction with smartphone manufacturers willing to use the Android operating system. And now, Google is the most used search engine owing to the widespread use of the Android operating system in most developing countries and the most populous countries.
Google’s Market Share
The reason why search engines will remain pervasive and, ChatGPT will not pose a threat is the fact that using search engines comes naturally to people. Every smartphone user, even with little technical knowledge, knows how to use it. Frankly, that is not the case with ChatGPT.
Google Search Engine
Besides, the use of search engines and even preference for search engines also got to do with trust. Search engines like Google Search and Bing Search have been around for quite some time and have gained people’s trust. People can effortlessly look for things they need to look for and even verify that from multiple sources on the internet. ChatGPT is relatively new, and most people do not even know about it.
The last straw is that Google Search and Bing Search are attempting to incorporate AI to help users with better results. Microsoft’s Bing Search is already using GPT-4 LLM in the form of Bing Chat, and Google is launching its AI chatbot named Bard, currently available for use in a few selected countries.
So, search engines are not going anywhere and will remain the first choice for connecting people worldwide to the internet– as always. Sure, ChatGPT is quite helpful and fascinating to use. It is also quite creative with its responses and will complement many people’s works, but it is not a threat to search engines.
FAQs
What are the few premises that people have started to believe that ChatGPT might be a threat to search engines like Google, Bing, etc.?
Below are a few premises that people have started to believe that ChatGPT might be a threat to search engines like Google, Bing, etc. –
ChatGPT can generate text that is indistinguishable from human-written text, and it can answer questions more quickly and accurately than search engines
ChatGPT can create longer, human-like text, and it could be used to create fake news articles, blog posts, and other forms of content that could be used to deceive people on search engines
ChatGPT can answer questions more quickly and accurately than search engines
Why isn’t ChatGPT a threat to search engines?
ChatGPT is trained on a restricted dataset of text and code, meaning it may not be able to answer questions about topics that are not covered in its training data
ChatGPT cannot understand the context of a question many times
Bing is a search engine which is owned and operated by Microsoft. It provides a space for people to search pictures, videos, websites, locations and many more.
Bing is an internet based search engine which was unveiled as a one stop platform of Microsoft after it compiled all its search engines into one namely MSN search, Windows live search, and Live search.
market share of search engines worldwide
It can be inferred from the graph above that Bing is the second most used search engine worldwide. However, the share of the same is substantially low. Microsoft is working gradually and rigorously to capture the most part of the market.
Bing Search Engine
With the monopoly of Google in the market, it becomes tougher for any new brand to attract the consumer base. And doing this would definitely have been a task for Bing. Bing’s marketing journey is a story to know. Let us see how Bing grew to earn billions of dollars working in a highly competitive space.
A decision engine: Microsoft Bing when launched was titled as a decision engine because of its efficiency and relevant search results for the query typed. It provided search results for the original query. It enabled the consumers to rather bing than google in the initial phase. Hence it definitely brought the users for Bing.
No Captcha: Many times we come across Google verifying if we are a robot which can be an advantage for Bing if a user is a compulsive search engine user. Bing allows users to search as many times as he/she want.
Related searches bar: It was Microsoft Bing that came up with the idea of displaying related searches when a user enters any query. It made tasks a lot easier for a user to surf through a list of search results and click on the most relevant one.
Microsoft-Yahoo tie up: In July 2009, Microsoft Bing came into an agreement with Yahoo where it allowed Bing to power search on Yahoo portal which was for 10 years. With the two giants tieing up to fight the monopoly of Google, it resulted in the favour for Microsoft as well as Yahoo.
Microsoft-Facebook collaboration: In the year 2012, Microsoft thought of partnering with Facebook which was the most used social networking site after Google with around 400 million user base to show Bing search results over world wide web (www) portal. It helped Microsoft Bing to acquire a decent percent of the market during that time. Google still remained the top player in search engines.
Microsoft-Apple partnership: In the next year, Microsoft Bing partnered with Apple and Apple decided to make Bing their search engine in apple products by nudging google out. It announced siri would leverage bing and not google in the year 2013.
Integrated windows search engine: Microsoft after launching its windows store to download apps, it integrated Bing as its search engine which again is a marketing strategy.
Option to personalize: Microsoft understands that people prefer to make their digital space personalised to get rich experiences and relatability. Bing allows a user to change the display, privacy, and suggestion settings to make them as his/her preference.
Bing ads service: Like Google, Microsoft Bing also provides the ad services on its search engine for people to market their products and services over the internet.
Bing Ads
Similar to Google ads, Bing ads give businesses a platform to run their ad campaigns to attract traffic and generate sales. Bing ads are one of the many tools of digital marketing. When we compare the market share of Bing search engine, we tend to ignore the importance of advertising there. But Bing gets over a billion unique users every month. So it is a mistake to ignore the power of Bing. With Microsoft Bing providing its independent ad services to businesses is another pros for Bing as it is relatively cheaper than google ads. It apparently has higher conversion rates, lower cost per click, cheaper conversions, lesser competition and many more than that of Google. The ad services again makes it attractive for people who are earning through digital marketing, affiliate marketing etc. And digital marketing as we all know is a growing sector.
Good user interface/experience: Microsoft Bing has a better user interface than Google with more colorful wallpapers, vibrant visuals, quality display, and easy accessibility to those features. It provides good user experiences as
It has integrated other Microsoft applications like PowerPoint, MS office, MS excel, MS edge etc. within the search engine.
It has better images displayed with horizontal layout so that users do not have to visit the host website unnecessarily like in Google when he/she just wants to preview the image.
it has advanced video search options as it will not direct you to YouTube to watch a video. Instead, it will let you watch it then and there.
It has an option of ‘My saves’ which provides users with a dedicated tab of their favorite searches and results.
However, Bing lags in the areas where Google is way ahead of the league like quick loading, bug detecting,data loading etc. which directly hampers the user experience. Some digital marketers may get annoyed because it may lead them to lose their potential conversions.
Conclusion
Microsoft Bing still has a task to do to compete with giants like Google. But because it is continuously working to make it more efficient in terms of user experience, advanced features, and ads services so that it can attract a good number of users in its basket, it has a bright future. It definitely has a decent share of the US market but it has a long way to travel to acquire decent global market share to become comparable with Google search engine. The innovative step of Microsoft Bing is being friends with the enemy’s enemy. It kept on partnering with the giants which were already in competition with Google which helped it to get the little exposure it currently has.
FAQs
What is Microsoft Bing used for?
Microsoft Bing is a search engine used widely to search over network. It ranks second most widely user search engine.
How effective is Bing advertising?
Bing Ads reach more than 60 million searchers that aren’t reached with Google AdWords.
