ChatGPT by OpenAI has gone as viral as the bare buttocks of a Kardashian in 2014, but what does it mean for Web3?
Token Gamer and NFT Insider have decided to combine forces to launch a weekly podcast, Mint One (formerly WAX Lyrical). John Nichols of NFT Insider and I will discuss a new topic every week, as well as feature special guests. If there’s a topic you’d like us to cover, make sure you let us know through the Token Gamer Discord or Twitter, or the NFT Insider Discord or Twitter.
In last week’s episode, John and Saskia (in my absence) discussed what you need to do to become an NFT creator. This week, I’m back and we’re looking at the terrifying, fascinating, and impactful, ChatGPT.
Mint One, Episode 49: What Does ChatGPT Mean for Web3?
What is Chat GPT? ChatGPT is a chatbot that uses the GPT-3 language model developed by OpenAI. GPT-3 (short for “Generative Pre-training Transformer 3”) is a state-of-the-art natural language processing (NLP) model that has been trained on a large dataset of text and can generate human-like responses to a given prompt.
ChatGPT can be used to create a chatbot that can engage in conversation with users and respond to their questions and statements in a way that is similar to how a human would. It can be integrated into a chat interface, such as a website or mobile app, and can be used for a variety of purposes, including customer service, entertainment, and information dissemination.
One of the main advantages of ChatGPT is its ability to understand and generate a wide range of natural language text, making it a powerful tool for creating chatbots that can have realistic and engaging conversations with users. It can also be fine-tuned for specific use cases, such as answering questions about a particular topic or responding to customer inquiries in a customer service setting.
The last three paragraphs were ChatGPT’s answer when I asked it to describe what it is and what it does. The only issue with that answer is it doesn’t give you a good sense of what it can do. The potential of this tool is remarkable; creating written content, auditing code, and summarizing large bodies of text are three common ways it’s being used currently, but that is just scratching the surface of what’s possible.
So, what does it mean for Web3?
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