A few days ago, some interesting news was announced in the field of Web3/Crypto Artificial Intelligence (AI). Three AI projects – SingularityNETAGIX, Fetch.aiFET, and Ocean Protocol – have announced their intention to merge their tokens and create a megaproject together, the SuperIntelligence Alliance. In my view, this represents an effort by the Web3 AI project to challenge the Web2 AI companies. This challenge is currently extremely difficult, as the combined market value of these projects is just over $7 billion, while Nvidia alone has a market value of $2.25 trillion. However, I believe that the Web2 AI company and the Web3 AI project are not competitors, but partners. In particular, Web2 AI companies improve AI productivity and Web3 AI companies transform AI production relationships.
Web2 AI company improves AI productivity
From the introduction of ChatGPT to Google Gemini, GPT-4, GPT-4 Turbo, and the upcoming GPT5, people have deeply felt the impact of AI on their lives and work. Just as we can't live without smartphones today, our lives will be affected by various AI services in the next 3-5 years. Web2 AI giants such as Nvidia, Google, OpenAI, and MicrosoftMSFT have reached a fiercely competitive level in the development of Large Language Models (LLMs). This includes ChatGPT (November 30, 2022), ChatGPT Plus (February 1, 2023), GPT-4 (March 14, 2023), ChatGPT Plugin (April 23, 2023), GPT, etc. This is evident from the rapid evolution of AI model products. -4 Turbo (November 6, 2023). AI has greatly increased human productivity by performing tasks more efficiently. Therefore, the job of these Web2 AI companies is to continuously enhance the capabilities of AI as a production tool, thereby increasing human productivity. But it's nearly impossible for Web3 companies to keep up with these efforts. First, Web2 AI companies are high-tech companies with long-term technology development, world-class talent, robust enterprise architecture, and deep financial resources. Nvidia was founded in 1993, Microsoft in 1975, Google in 1998, and OpenAI in 2015. Developing and operating an LLM requires high human and financial resources. For example, OpenAI's operating costs are around $3 million per month, and his daily cost to maintain ChatGPT is $700,000. This is mainly due to the large amount of computing resources and server costs required. Therefore, it is impossible for Web3 AI companies founded within the past 10 years to compete with Web2 companies in terms of AI productivity gains in terms of talent and funding.
Web3 AI companies transform AI production relationships
Although Web3 AI companies are relatively young and lack the financial and human resources of Web2 AI companies, they are leveraging blockchain and cryptography to leverage Bitcoin's decentralized and transparent nature. By adopting , AI is rapidly changing the production relationship. Companies like OpenAI and Google operate in a highly centralized manner, leveraging their own data centers and running opaque processes with AI solutions. To gain trust in an AI service, a user needs to know how each stage of his AI development is accomplished and the data used to train and fine-tune these models. The Web3 AI company proposes a new method of AI development that ensures the entire AI lifecycle is open and transparent, including key stages such as data collection, preprocessing, model design, training, fine-tuning, and deployment. I am. By inviting the community to participate in these steps, the Web3 AI company aims to move beyond the opaque “black box” view of AI and foster deeper understanding and collaboration in its creation. Why can't Web2 enterprises rapidly change their production relationships? First, large-scale Web2 enterprises already have very mature and centralized business models. They have a complete set of mature processes for data collection, model design, development, and training. It is difficult to fundamentally change this process so that everyone in the world can participate. Moreover, using blockchain and crypto to change AI production relationships is a strength of Web3 companies, just as Bitcoin BTC changes the financial system. Crypto here mainly encourages people around the world to contribute to AI development. These big Web2 companies in the US need to be careful with cryptocurrencies, so they have a lot of compliance work to do, like Facebook's Libra project being shut down by Congress, and blocks to optimize current AI development. It has become difficult to integrate chains and cryptocurrencies. Proceed with the process in the short term.
Web3 AI projects to watch in 2024
Finally, here are some active Web3 AI projects. Each project focuses on changing one or more aspects of the AI development process, including data collection, data storage, AI data marketplace, and AI model marketplace. RNDRRNDR, GRTGRT, TAOTAO, AGIX, AKTAKT, FET, AIOZAIOZ, GLMGLM, OORT (my startup), PAAL, OCEANOCEAN, CGPT, CTXC.
disclosure: I'm the founder and CEO of OORT.
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