Blockchain APPS by ChatGPT-4 and Training Plans for GPT-AI – Ucommune International (NASDAQ:UK)
In the current AI boom sweeping the world, “ChatGPT” is undoubtedly one of the hottest topics on the internet. From the most basic “ask me anything” to simple market analysis, or even designing a quantitative strategy to predict prices, ChatGPT’s “superpowers” have permeated every corner of the blockchain field.
Blockchain Apps for ChatGPT-4
Last week ChatGPT-4 was officially launched. OpenAI stated that “ChatGPT-4 has human-level performance in various professional and academic benchmarks”. In practical applications, ChatGPT-4 scored high on the SAT (American College Admission Test) exam and successfully monitored vulnerabilities in Ethereum’s smart contracts, and even suggests potential solutions to fix the vulnerabilities.
Coinbase’s head of engineering, Conor Grogan, confirmed this when he posted on social media that he had inserted a real-time Ethereum smart contract into ChatGPT-4 and the AI instantly found security vulnerabilities and even showed how to exploit them. With the release of this tweet, ChatGPT’s ability to detect security vulnerabilities became one of the hottest topics in the industry. This Tuesday, Coinbase officially released a comparison experiment and report results on its official blog, using the ChatGPT ERC20 token review framework to perform automated assessments and blockchain security engineers to perform reviews.
In the experiment, blockchain security engineers will use internal tools to review each function of the token smart contract and issue risk scores based on the risks flagged for the function; Similarly, to compare the accuracy of ChatGPT with the accuracy of standard reviews, ChatGPT will also generate a risk score. So how did ChatGPT perform?
Coinbase compared ChatGPT and manual security review for 20 smart contract risk scores in the experiment, of which ChatGPT generated the same result as manual review 12 times. However, in the other 8 errors, 5 were ChatGPT incorrectly labeling high-risk assets as low-risk assets.
According to the results of the experiment, ChatGPT can only be said to have a small ability to quickly evaluate the risk of smart contracts, but it does not meet the accuracy requirements of Coinbase’s security review process. Perhaps Coinbase can improve the accuracy of the ChatGPT token’s security review through further engineering design. However, at the moment it is still impossible to rely solely on ChatGPT to perform security review.
In general, ChatGPT has a broad knowledge base, and with input from specific business logic and questions, ChatGPT can achieve more in less time. In addition, for security engineers facing high costs of smart contract auditing, ChatGPT provides timely and cost-effective auditing assistance.
Training plans for GPT-AI
GPT-AI is a decentralized web3 project developed and created independently using CHATGPT artificial intelligence. The goal of GPT-AI is to enable everyone to have and train their own AI bots, eventually forming a huge scope of AI applications, transactions and rental platforms.
For example, if you are an image processor, designer, nutritionist, fitness instructor or chef, you can teach the AI robot your best skills and knowledge, continuously train it, collect data, optimize the data structure, make it more professional. Such AI will be the most popular presence in all industries of Web3, and you can serve other users by renting or selling AI robots, thus earning commissions for yourself. This is the huge demand value that has been released by the combination of Web3 community and AI, and the value generated after solving the demand is returned to the users who continue to train GPT-AI bots.
The decentralized and distributed features of Web3 provide better support for GPT-AI. In the Web3 ecosystem, all data and applications are stored on a decentralized blockchain network, which is public, transparent and immutable. The distributed data architecture makes it easier for GPT-AI to access and share data while ensuring data security. In addition, the smart contract function of Web3 can also provide GPT-AI with more flexible and efficient transaction and training mechanisms, making the application and sale of GPT-AI more convenient.
ChatGPT-4 and GPT-AI are like a boon, with their collaborative nature and more mature and humanized professional skills after training, they are more suitable for all Web3 user groups than the potential threats of automation and human replacement.
Learn more: https://gpt-ai.io/
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Company name: GPT-AI
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Country: United States
Website: https://gpt-ai.io/
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