Vitalik Buterin, the esteemed founder of Ethereum, has developed a keen interest in OpenAI’s ChatGPT. This great chatbot, powered by artificial intelligence, has taken the world by storm since its launch in December. In a recent blog post, Buterin shared his experience utilizing ChatGPT 3.5 to tackle real-world challenges. His insights shed light on the immense potential of this cutting-edge technology.
As per the blog entry, Vitalik Buterin sought guidance from ChatGPT on scripting a program that could calculate the anticipated duration of public transit between two specific GPS coordinates. The AI chatbot promptly furnished him with relevant script samples and datasets to refine his inquiry. Furthermore, ChatGPT diligently collated and shared the necessary links to aid in his quest upon requesting supplementary resources.
Upon refining his search parameters and providing more specific information, the creator of Ethereum was pleasantly surprised to discover that ChatGPT had generated a scatter plot of time-distance pairs to aid in his quest to optimize public transportation travel times. Additionally, the chatbot offered a script capable of interpreting location data sourced from online resources. This impressive level of functionality and precision underscores the value of cutting-edge AI technology in solving complex problems.
Upon engaging with ChatGPT, Buterin arrived at a remarkable realization: a remarkably precise correlation governs the duration of travel from one location to another, regardless of the mode of transportation employed, be it walking, subway, bus, airplane, or even hypothetical interstellar spacecraft.
Vitalik Buterin was thoroughly impressed by the exceptional capabilities of ChatGPT in educating him about online libraries and application programming interfaces (API) that he had never encountered before. He lauded the AI-powered chatbot for its ability to bridge the gap between novices and experts, thereby reducing the entry barrier. ChatGPT has gained immense popularity owing to its user-friendly interface and proficiency in a diverse range of skills, spanning from programming to research.
