ChatGPT-4 This Week: How Will It Impact Web3?
In the previous article "GPT4 is here, can it disrupt Web3? | veDAO Research Institute", veDAO Research Institute provided a detailed analysis of the AI+Web3 concept and specific Alpha projects. This article focuses more on the macro narrative, allowing readers to have a comprehensive understanding from a top-down perspective.
I. ChatGPT-4 Arrives This Week
Recent technology media has been in a frenzy due to the arrival of ChatGPT-4. On Tuesday, March 14th (Eastern Time), OpenAI officially announced the launch of the large multimodal model GPT-4, stating that it can receive image and text inputs, output text, "be more creative and collaborative than any previous version," and "due to its broader common sense and problem-solving abilities, it can more accurately solve difficult problems."
II. Innovations of ChatGPT-4
Before understanding the innovations of ChatGPT-4, we need to start with understanding artificial intelligence, while many of us are still pondering the question "What is artificial intelligence?" The world of artificial intelligence has been advancing rapidly, and now artificial intelligence can do a variety of things for us.
But what exactly is ChatGPT and why has it caused such a sensation globally? ChatGPT's own answer is this: ChatGPT is an artificial intelligence (AI) tool designed to communicate with humans in a natural conversational manner. It can understand human language and generate responses that look like human answers. Imagine having a conversation with a truly intelligent computer program: it can answer all your questions, provide information, and converse with you. It can be used for chatbots, virtual assistants, and other applications that require human interaction.
In short, the current version of ChatGPT is an AI chatbot using the GPT-4 language model. Although it is not perfect, it can quickly generate human-like text responses based on any prompts you provide. Investors in Microsoft's ChatGPT even attempt to use it in products such as Word, PowerPoint, and Bing, so that AI can help people write better documents, make better presentations, and improve search results based on context.
The GPT-4 launched this week is a large multimodal model that can accept image and text inputs and output correct text responses. GPT-4 has made leaps in the following aspects: powerful image recognition; text input limit increased to 25,000 words; significantly improved answer accuracy; ability to generate lyrics, creative text, and achieve style changes.
OpenAI has also announced collaborations with multiple companies to integrate GPT-4 into their products, including Duolingo, Stripe, and Khan Academy. The GPT-4 model will also be provided in the form of an API to subscribers of the paid version ChatGPT Plus. Developers can register and use it to build applications. Microsoft has stated that the new version of the Bing search engine will run on the GPT-4 system. The blockbuster upgrade of ChatGPT-4 has once again made artificial intelligence the focus of attention.
III. How Will ChatGPT-4 Impact the Web3 Industry?
Web3 is a rapidly developing decentralized application ecosystem built on blockchain technology, poised to fundamentally change various industries. Integrating ChatGPT-4 into Web3 may have a significant impact on the development of decentralized applications and the overall user experience.
Combining the views of various authoritative institutions and individuals, here are our practical views on how ChatGPT-4 may impact Web3:
Improving User Experience
Integrating ChatGPT-4 into Web3 applications can significantly improve the user experience. With its ability to understand natural language queries, ChatGPT-4 can make it easier for users to interact with decentralized applications, even if they are not familiar with the underlying technology.
For example, ChatGPT-4 can be used to create conversational wallets, allowing users to execute transactions simply by stating their intentions in natural language, reducing the entry barriers to Web3. This helps make the Web3 ecosystem more accessible to a wider audience, further driving its widespread adoption.
Conversational Wallets
Wallets are the main entry point for interacting with DApps in Web3. Just as using ChatGPT-4 as a basic construct to redesign the user experience in Web2 applications, a similar trend can be speculated for encrypted wallets. The new wallet experience based on ChatGPT-4 can be described as: using natural language in a conversational manner, users can easily convey their request for information, execute transactions, or perform specific tasks.
Natural Language-Based Block Explorer
In Web3, browsers are the main way to search the blockchain and interact with it, but unfortunately, the user interfaces of these browsers are geared towards blockchain experts rather than ordinary users. With ChatGPT-4, ordinary users can ask questions in natural language such as "Have large institutions transferred funds to Binance?" "When was the last similar incident?" or "Are there any interesting patterns in recent transaction activities?"
The user's search experience can be significantly upgraded through technologies like ChatGPT-4, such as browsers. The new generation of Microsoft Bing is powered by artificial intelligence.
Intelligent NFTs
Models like ChatGPT-4 can enable a new generation of NFTs with conversational intelligence. Imagine a version of your favorite NFT series that allows you to ask questions about the creator's inspiration or specific artistic details.
Smart Contract Development Assistant
Writing smart contract programs is a complex and specialized task that requires developers to have rich professional knowledge. However, with the Codex feature of ChatGPT-4, Solidity code can be generated using natural language descriptions. Imagine having a smart contract assistant that can create code snippets for specific tasks, such as "requesting a flash loan in Aave," just by entering a natural language query.
Smart Contract Security Testing
Although smart contract security testing is crucial, smart contract auditing is known to be a slow, expensive, and tedious process. The auditing process largely relies on running tests, which are often not easily understood or significant for smart contract developers. Future web3 smart contract security testing can use a specialized version of ChatGPT-4 to conduct smart contract audits, able to receive language inputs and perform a set of tests on a given smart contract.
IV. Conclusion
Integrating ChatGPT-4 into Web3 applications is expected to have a significant impact on the development of decentralized applications and the overall user experience. With its ability to understand natural language queries, ChatGPT-4 can make the Web3 ecosystem more accessible to a wider audience. As more and more projects adopt ChatGPT and Web3, we are likely to see explosive growth in innovation across various industries. This will bring exciting new products and services, fundamentally changing industries such as gaming, finance, and education. The future of the combination of AI and web3, two revolutionary forces, is full of hope.
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