We have seen a lot of advancements in technology. But one that has caught the attention of many is the rise of AI-powered search engines. Centralized search engines like Yahoo and Google have been around for a while. But with the advent of Web 3.0 decentralized AI search engines, the game has completely changed. In this article, we will explore the capabilities of Questron AI, Acent’s newest and most innovative decentralized AI search engine that is soon coming to market.
AI-powered search engines are search engines that use artificial intelligence and machine learning to give more accurate and relevant results. Not only can AI understand patterns and make predictions compared to Google Search, but it can also derive its own insights and analysis based on internet data.
To illustrate their capabilities, traditional search engines can provide a list of links in accordance with keyword searches. An AI-model search engine, on the other hand, uses algorithms such as natural language processing. The NLP is designed to understand the intent and content behind the queries. This allows them to provide more accurate responses to users who can generate even one long form article on the site such as this.
Among the popular AI-search engines on the market are Neeva AI, Microsoft‘s new Bing AI, Google’s Bard, WebChatGPT, and YouChat, among many other platforms. Microsoft is also making changes to the Edge browser to give it an AI-powered search engine. They are doing this by adding chat and compose to the Edge sidebar.
Google’s Bard and Microsoft’s new Bing are aiming to get a market share of the current AI trend. Acent’s decentralized approach aims to provide unique services from these traditional AI search engines by introducing a technology that combines the power of Web 3.0 and AI, which will empower users and content providers from all parts of the world.
Did you know that there’s a lot more information on the internet than you were shown? Some of that information could be very important for someone you know, like medical information or bad financial data that needs to be shared with everyone. And yes, centralized search engines like Google can censor or filter search results. Filtering is the act of removing some web contents to fit a particular narrative or propaganda.
Open-source, unbiased, and decentralized search engines are, therefore, the first steps toward fair information networks and true freedom of speech.
Questron addresses this concern by using the decentralized governance and architecture of the Acent Web 3.0 browser, which is a powerful search engine that uses open-source and unbiased search engines. The latter not only offers data privacy but also the power of blockchain technology.
As AI technology is added to Web 3.0 or blockchain-based search engines, it opens up a whole new world of different ways to search.
First, users of a blockchain-based search engine such as Questron AI can rest assured that any search results or answers came from a variety of sources that were not controlled or manipulated by any large corporations. Be it long- or short-form text answers, videos, or images.
Second, as part of a feature called “decentralized governance,” Questron AI gives users the option to let website owners who aren’t very popular share their information or story. In the near future, Questron will allow people to judge the trustworthiness of a popular or unpopular website based on various ratings given by other users. Likewise, users can blacklist a site so it is not included forever in his/her search list.
And third, users don’t have to worry about centralized corporations limiting policy and sources of information when they use decentralized search engines. Questron uses Acent’s meta-search engine to quickly and publicly index search results from many unpopular and unbiased search engines and content providers.
Here are some other features of Questron AI that will set decentralized AI search engines apart from other AI search engines:
The Acent Web 3.0 meta-browser promises safe and secure browsing. Questron AI combines this feature with AI’s Large Language Models (LLM).
As users enter their query, they will not only be provided with highly relevant content and synthesized results, but also real-time internet sources that are generated and indexed to provide the most accurate answer.
For instance, try searching “How can I synthesize gold?” in Google. Google will give you a long list of search results. To synthesize all these data will entail a significant amount of time and effort.
ChatGPT, on the other hand, would synthesize the data for you without attributing the sources of information.
Questron AI can provide a synthesized answer indexed with sources where it got its answers. This is very important because, in the end, as an academic researcher or a successful SEO content writer, you need to back up your texts with reliable sources.
Moreover, Questron AI gives users more ways to check its synthesized search results than just website links. It shows videos and even images that are related to the search query.
Predictive analytics is the process of using statistical algorithms and machine learning techniques to analyze data and forecast future trends or outcomes. It helps businesses make predictions about the future by analyzing historical data, identifying patterns, and making informed decisions.
Questron AI is a platform that is powered by AI and uses advanced algorithms for big data analytics to provide reliable predictive analysis. Its main feature is the ability to use machine learning models, make custom predictive models, and do predictive analysis on large datasets with indexed sources to back up its analysis. With Questron AI’s powerful tools for predictive analytics, it can help businesses make better decisions informed by accurate insights from their data.
Below is the difference between ChatGTP’s general answer to the query and Questron AI’s more definite answer based on reliable sources.
Questron AI uses natural language processing to understand the context of the queries and language models, which allow it to provide more accurate answers to users. What is even more exciting is that Questron AI is being further designed to understand the intent behind searches in different languages. See an example below.
Questron AI is being made to have a built-in translator that will translate results and websites into different languages. This is expected to expand the user base of this decentralized AI app, especially in countries where most people use monopolized search engines as their source of information. Questron AI will allow everyone, even those from non-English-speaking nationalities, to access the world’s knowledge in their own languages.
What’s more, Questron can be used to ask queries in English language and answer it in other languages or vice-versa.
The Acent developers are currently designing Questron AI to have a built-in voice search feature that allows users to search using their voice. The combination of this feature and the ability to recognize different languages will make this conversational AI feature really outstanding.
Another breakthrough feature is its capability to integrate its conversational AI feature with NFT characters.
Remember how Alexa and Siri have become so popular around the world because of their ability to provide a chat experience that responds to your questions like a human?
Questron AI is being designed as that, but this time in your favorite NFT characters. So, imagine having your own NFT character trained to have some level of artificial intelligence to be your AI companion. That would be superb!
Web 3.0 internet infrastructure has provided a significant opportunity for users to monetize content. Many companies and individuals have benefited from the monetization features of Google Ads, Facebook, and YouTube. The latter two are probably also one of the most popular platforms, providing millions of dollars in earning potential for their growing number of users. But what if users can also access and maximize the monetization potential of decentralized AI-powered blockchain-based search engines? Questron AI has many capabilities that can allow an individual to monetize his or her skills, such as the ability to write instant blogs, video scripts, and even outstanding predictive and data analysis. There are other monetization projects in the pipeline, which will be disclosed soon on Acent’s SNS channels.
The features above are the major features that can be disclosed at the moment. But there are a lot of features that we will announce in the next coming days as we progress in further enhancing Questron’s capabilities.
The above figure summarizes the difference between decentralized search engines such as Acent’s Questron AI and centralized search engines like Google and Yahoo, as well as AI search engines such as ChatGPT.
Google searches use keywords, which unavoidably deliver irrelevant results to users. They also provide links to sources; however, they have minimal regard for user preferences. Users are expected to synthesize their own findings from the long list of relevant and irrelevant web results.
With ChatGPT, the main difference between Questron AI decentralized search engine and ChatGPT is that Questron AI can filter highly relevant website links to answer questions based on trustworthy internet sources. You can also use its answer for any academic research because it conveniently indexes the sources from which it gets the relevant information.
Like any other AI search engine, Acent’s Questron uses AI and machine learning to deliver more relevant and accurate results to users. However, as a decentralized network, it does not confine itself to limited web resource information. Instead, it is open to a whole gamut of internet sources. It is not affected by the censorship or blacklisting of large corporations when it comes to information filtering.
Also as part of Web 3.0 or blockchain-based search engines, Questron AI applies a decentralized governance system that enables many users to decide which sites to blacklist or rate as trustworthy. This system allows users to have a say in and power over the information being fed to the AI.
In conclusion, there is no doubt that AI-powered search engines will change the way people and businesses search the web. But with the power of blockchain technology and a decentralized network, Questron AI can outrun existing AI search engine tools on the market by allowing personalized search results with a source of index, providing peer support to its community via ratings on trustworthy sources, and providing value by allowing users to access other decentralized services such as monetization features (to be disclosed in details soon).
Acent’s Questron will deliver more than what existing AI can do nowadays. First, as the only decentralized search engine in the market, it does not limit itself to only a few web resources. The internet is a very large sea of information, and Acent’s Questron AI as a decentralized internet will change the game by tapping some of the unpopular web resources that have some more valuable information.
Second, as a decentralized search engine, it implements a decentralized governance system, which allows users to become transparent about their level of trust in a particular website. Users will not only see indexed search results, but in the future they will also see the varying trust ratings of users on that website.
Overall, the combination of Acent’s Web 3.0 and AI are powerful tools that make it easier for users to navigate the web and find the information they are looking for securely and accurately. The future of AI-powered search engines is bright, and we can expect to see more advancements in conversational AI and the machine learning capabilities of Questron AI in the future.
Keep an eye out for the launching of Questron AI soon and experience the benefits of a decentralized AI meta-search engine for yourself!
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