Tag: Ethereum
Browse our exclusive articles!
Vitalik Buterin Solving Problem with ChatGPT by Benzinga
Vitalik Buterin recently revealed in a blog post that he employed ChatGPT 3.5 to optimize public transportation. AI is helping eliminate mundane tasks and playing a role in revolutionizing our lives, as proven by Ethereum founder's successful use of ChatGPT to reduce travel times and enable more efficient decentralized organization. Buterin believes ChatGPT bridges the gap between amateurs and professionals. With Goldman Sachs predicting AI will soon replace 300 million jobs, we can only see the effects this technology will have.
Uncovering the Capabilities of ChatGPT with Vitalik’s Tests
ChatGPT is a natural language processing tool that helps bridge communication between professionals worldwide. With ChatGPT 3.5, Vitalik Buterin, the creator of Ethereum, was able to bridge language barriers and support cooperative ventures. ChatGPT stands out with its human-like conversational responses and understanding of different languages. Openai, the tech firm behind ChatGPT, is backed by companies like Microsoft, Amazon and Samsung. This one-of-a-kind model is a great tool for discovering new ideas and excelling in technological research.
Evaluating Vitalik Buterin’s Results on ChatGPT’s Trading Ability
ChatGPT is AI-powered trading assistant developed by AI research unit of Microsoft. It saves time by generating strategies & evaluating market conditions. Vitalik Buterin, Ethereum co-founder, conducted experiments to explore its potential. Via APIs, he was able to work with travel time & distance functions to generate trading strategies & use Satowi to advise users. AI-bot has limitations, such as complex market conditions, so traders need codes to get accurate responses. Buterin found that AI tools can still help in automating certain tasks.
Evaluating Vitalik Buterin’s Results on ChatGPT’s Trading Ability
ChatGPT is a reliable AI tool for developers to rapidly create customized tools for traders. Vitalik Buterin tested its capabilities for suggesting APIs for crypto trading and it exposed amateur traders to a multitude of software libraries. Moreover, it even wrote a script to interpret publicly-available data. However, more research is needed to improve its accuracy and avoid incorrect results.