When the Internet enters the "AI era," the way information is obtained will also undergo earth-shaking changes.
In the early morning of May 14th, OpenAI announced the official launch of its latest AI model, GPT-4o, which can achieve real-time video and voice interaction and will be phased into various OpenAI products in the coming weeks. Interestingly, the day after OpenAI released GPT-4o, Google launched a "counterattack" at the 2024 I/O conference. Sundar Pichai, Google's CEO, announced dozens of new Google and AI integrated products in a 110-minute speech, including a redesigned Google search using the customized Gemini model to compete against OpenAI and other competitors.
The release of GPT-4o once again caused a sensation in the technology field and brought more thoughts on the application of AI. After GPT-4o, the direction in which OpenAI will focus on has become the focus of attention in the industry. Combining recent events in the AI field, including Perplexity's new round of financing and ChatGPT changing its homepage to a search box, the consensus in the industry is that the AI search field is currently the strongest.
Search is one of the Internet infrastructures and is the core means of meeting rigid needs. It has nurtured a "shelf-style" trading market. With the advent of the artificial intelligence era, which has brought significant improvements in efficiency, traditional search engines can no longer fully meet users' needs. AI search engines such as Perplexity and New Bing have received widespread attention.
In 2023, traditional search engines generated $300 billion in revenue and accounted for over 50% of Internet traffic. As an important gateway to Internet information search, Google occupies 90% of global search volume. However, since the appearance of ChatGPT, Google's search volume has gradually been taken over by Bing. According to Statcounter data, in April 2024, Google's search market share was 80.74%, a decrease of about 6% compared to the same period in 2023.
Data source: statcounter
A stone stirs up a thousand waves. Faced with the increasingly fierce AI wave, AI search will undoubtedly become a battleground in the era of large models.
Analysis of the Current Situation of AI Search Engines
Due to the lack of real-time data in the training data used by ChatGPT (GPT-4 data is updated to April 2023), the results also show a certain lag. However, in the Internet age, information updates are calculated in seconds, and the inability to provide real-time data is a disadvantage of ChatGPT. Therefore, launching an AI search engine is the trend.
In addition, with the explosion of information and the changing logic of user searches, from pursuing more comprehensive information in the past to "separating true from false" in a massive amount of information, this is precisely the area where AI capabilities can be demonstrated.
AI search engines bring real-time data into the scene, use large models for fine-tuning, and incorporate the latest network data and information to solve the problem of lag in results. Moreover, AI search can balance depth and efficiency, more accurately output the information users want, and present it in natural language. For contemporary Internet users submerged in the ocean of information, it is undoubtedly a much-needed savior.
Currently, there are several general AI search engine products, mainly divided into the Web2 track and the Web3 track. For example, Perplexity, Microsoft Copilot, YouChat, Brave Search, Andi, Komo, ThinkANY, Phind, iASK.ai, Adot, PreSearch, TypoX, QnA3, Kaito, and other products.
Perplexity AI
Perplexity is currently the most influential Web2 AI search engine, based on OpenAI and API's GPT, supporting online functions and free use of GPT-4 functions. It provides search results to users through dialogue and has the ability to switch models and unlock image generation, significantly improving the performance and accuracy of the model. This greatly improves search efficiency. However, for Web3 users, its data sources are not comprehensive enough and cannot integrate on-chain data.
At the beginning of 2024, Perplexity AI received a $73.6 million investment, setting a record for financing of search engine companies in the past decade, and its valuation reached $520 million. The investors behind it include Nvidia, Jeff Bezos, and other "big shots." In early March, Perplexity AI raised about $63 million in financing with a valuation of $1 billion. On April 24th, according to informed sources, Perplexity is undergoing a new round of financing of at least $250 million, and the valuation may reach $2.5 billion to $3 billion.
Microsoft Copilot
Microsoft Copilot is Microsoft Bing's AI search engine, which can access a large amount of data and generate answers based on facts and objective data. It has a very fast response speed and supports multiple languages! However, the reference data is not complete enough, and it lacks creativity and the ability to analyze and summarize.
YouChat
YouChat can search real-time data and quickly provide accurate information and insights. The disadvantage is that it cannot understand certain complex contexts or emotional backgrounds, resulting in the inability to provide completely appropriate answers.
Brave Search
Brave Search, developed by Brave Software, is a relatively new AI search engine designed to provide a more privacy-protected and secure search experience. One of the characteristics of Brave Search compared to other AI search engines is its focus on user privacy protection and ad replacement models. The disadvantage is that as a newer AI search engine, it may still need to develop and improve the breadth and depth of search results.
TypoX AI
TypoX AI provides an intuitive Web3 knowledge search and learning experience. It integrates scattered information sources and Web3 protocols on one platform, effectively breaking down the barriers to entry into Web3. It has user-friendly interactive experience, rich on-chain and off-chain data, and supports multiple languages. The disadvantage is that it has a relatively single function and cannot solve the illusion problem of AI models.
Clab.ai
Clab.ai's main feature is that it is an AI product in the Web3 vertical field, capable of processing a large amount of non-standard data, thereby expanding the sources of data. It also includes a large amount of information from Twitter. According to official information, Clab's data is updated at the minute level, which is also a major feature, and it ensures the accuracy of the results through cross-validation of information.
Clab.ai was launched in 2023, and the official X was stopped updating in November 2023, and no public beta was released as promised.
Kaito
Kaito can provide reliable answers to users by searching mainstream Web3 information channels such as Twitter, Discord, Mirror, and Medium with one click. In addition, Kaito ranks and provides personalized recommendations for results, supports transcription of images, voice, and other information into text to integrate into content.
However, the reliability of the data content transcribed through secondary processing is relatively reduced, so other data sources still need to be cross-validated.
AI Search Engines are a Web3 Necessity
We are in the era of information explosion, and Web3 alone generates massive amounts of information every day. Many people spend hours each day browsing and searching for the latest news on various platforms, hoping to find early investment opportunities or valuable information! However, this process is filled with a large amount of false, hype, and junk information, which wastes a lot of time and energy and greatly reduces our efficiency and returns.
For ordinary investors and users, obtaining key information from it requires a lot of time and effort. Although we are submerged in the ocean of information, information hunger is always plaguing us. Creating a comprehensive Web3 AI search engine is an urgent problem to be solved.
Web2 AI search engines are the battleground for giants like Google, OpenAI, and Perplexity. Web3 vertical AI search engines have not yet been widely adopted. Although there are projects starting to reconstruct Web3 vertical AI search engines, such as Adot, TypoX AI, PreSearch, Kaito, etc., there is still a long way to go before widespread adoption.
AI has also made significant progress in the Web3 field. According to CoinGecko data, the total market value of 139 AI sector projects has reached $27.5 billion and has become a leading sector in the cryptocurrency market multiple times. Conservatively estimated, by 2030, the Web3 AI market has the potential to grow to tens of billions of dollars. There is undoubtedly a place for Web3 AI search engines in this market.
In the wave of the AI era, our opportunity as ordinary people is to seize and follow some early projects, especially the emerging Web3 AI search engine track. In the wilderness era, the chances of encountering Alpha are even higher!
Free AI Search Engine - Adot
The Web3 AI search engine Adot is currently available for free. It can effectively solve the illusion problem of AI models, integrate multiple valid data sources, and provide users with efficient and accurate responses. Adot has introduced the innovative concept of "Search to Earn," allowing users to earn rewards through searching. It is a Web3 track AI project worth paying attention to!
On April 25, 2024, Adot announced the successful completion of its Pre-A round of financing, totaling $3 million. This round of investment was led by Hash Global, with gCC (gumi Cryptos Capital) and the Liang Xinjun family office participating.
So far, Adot has raised a total of $6 million in funding, with other investors including SevenX Ventures, Mask Network, Var Capital, MixMarvel, and other investment institutions and individual investors. These funds will be used to promote the development of decentralized AI search engines.
Adot was founded by former Google engineers and AI experts. Adot's founder, Dr. Wei, is a former Google core engineer and AI expert with over 20 years of experience in search engines and AI technology.
The core team of Adot also has rich industry experience, with an average of over 10 years of experience in the search engine and AI fields for each member. Its product partner has held key product positions in Meituan, Ctrip, and an AI company acquired by ByteDance; the search algorithm leader has a master's degree from Peking University and has 15 years of search engine experience; the backend technology leader has built a platform system with over 200 million users from scratch.
Adot's vision is to create a decentralized search network that surpasses traditional search engines and opens up all high-quality data to every user and developer. Users can locate accurate, scalable, and indexed data in seconds and receive rewards for their contributions to the data sources. Developers can build their own search engines and recommendation systems based on Adot's SDK and API.
Currently, users can earn Adot (a.xyz) platform's Agems points rewards through daily check-ins, daily searches, and inviting friends. Agems can be used to participate in lottery activities, redeem prizes, and exchange platform tokens at a certain ratio, and so on.
Final Thoughts
For Web3 users, using AI search engines can save 90% of their time. The time saved can be used for learning, entertainment, fitness, etc., improving the quality of life while increasing investment returns.
New tracks represent new opportunities. The decentralized and community-driven nature of Web3 often allows early participants to receive good returns due to their contributions and participation. The Web3 AI search engine track is still an undeveloped virgin land, and it is worth closely following its development and changes to seize early opportunities and dividends!
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