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Is ChatGPT the beginning of the end for major search engines?

How the new AI chatbot could be calling for a redesign of Google and other search engine powerhouses

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Landing page for openai.com
ChatGPT had one million users within five days of its November release. (Photo by Openai.com)

In the latest of the AI-makes-us-all-look-like-total-idiots saga, the internet has been stumped over ChatGPT and what exactly the platform can’t do.

The chatbot has even caught the attention of the New York Times who featured this tweet in its most recent article about ChatGPT and all its strange functions:

User asks ChatGPT for biblical verse explaining how to remove a peanut butter sandwich from a VCR
One of the millions of personalized requests by users to ChatGPT (Photo by The New York Times)

So, what is ChatGPT?

In the words of ChatGPT itself:

GPT, or Generative Pre-trained Transformer, is a type of artificial intelligence model that is used for generating human-like text. It was developed by OpenAI and has been trained on a large dataset of human-generated text, allowing it to generate text that is similar in style and content to the text it was trained on.

GPT has been used in a variety of applications, including chatbots, language translation, and text summarization. It is a type of language model, which means it is designed to predict the next word in a sequence of text given the context of the words that come before it. This allows it to generate coherent and coherently structured text.

In the context of chatbots, GPT can be used to generate responses to user input, allowing the chatbot to have more natural and engaging conversations with users. It can also be used to generate content for chatbots to send to users, such as news articles or personalized recommendations.

While ChatGPT is able to produce content in seemingly record-breaking time, it may not have gotten conciseness down yet.

The key takeaway here is that ChatGPT is a language model that predicts the next word in a sentence or phrase based off the context of previous words, generating responses to user requests that are meant to be natural and conversational.

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Written by Antonio Solano

At the intersection of interaction design, data visualization and health sciences. I help make clinical data more accessible to researchers at TriNetX

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