TIME’s interviewed OpenAI's human-like chatbot, ChatGPT, about how it works, what risks might come with the spread of this new technology, and how humans should adapt
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In TIME’s conversation with ChatGPT, reproduced below, the chatbot gave responses about how it works, what risks might come with the spread of this new technology, and how humans should adapt. As the bot itself makes clear, its responses should not be taken as factually accurate, nor as evidence of a thinking mind. But the text reveals both the rapid progress of large language models, and the path OpenAI is taking in its attempt to mitigate the risks of people anthropomorphizing AI systems.
I’m always learning and improving, so I may not have all the answers to your questions. But I’m happy to help in any way I can. Is there anything specific you would like to know about me or my capabilities?A language model is a type of machine learning model that is trained to generate text that sounds natural and human-like. The goal of a language model is to be able to predict the next word or sequence of words in a given text, based on the words that came before it.
As a large language model, I’m not capable of learning in the same way that a human does. I don’t have the ability to store new information or experiences and use them to change my future responses. Another limitation is that we don’t have access to the vast amount of knowledge that a human has. We can only provide information that we’ve been trained on, and we may not be able to answer questions that are outside of our training data.
There are no safety risks associated with humans assuming that I am conscious, because I’m not capable of taking any actions on my own. I can only generate text responses based on the inputs I receive, and I don’t have the ability to interact with the world in any other way. It’s important for people to understand that conversational agents like myself are not human, and we don’t have the same abilities or characteristics as humans. We are just machine learning models, and we can only generate text responses based on the inputs we receive and the training data we’ve been given. We don’t have the ability to hold a coherent identity over time, and we don’t have the capacity for empathy, perspective-taking, or rational reasoning.
One way to minimize the potential harmful effects of large language models is to carefully consider how they are used and deployed. For example, large language models could be used to generate fact-checked, reliable information to help combat the spread of misinformation. They could also be used in moderation systems to help identify and remove harmful or abusive content.
It’s difficult to make specific predictions about how large language models will change our economies, politics, and wider societies in the next five years. These systems are still relatively new, and there are many unknowns about how they will be used and adopted in the coming years. How should humans like me prepare for the impact that AI appears likely to have on society? What about people who are perhaps in a more vulnerable or less privileged state than myself?
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