The prompts shown in this story are the same as those used to generate the corresponding examples. Chatbot makers such as OpenAI, Google, Microsoft and Anthropic also routinely update the underlying models, which can affect responses. Entering the same prompt as shown here may generate a different response, because responses can be context-dependent, personalized to users and even somewhat random. Often, finding the right prompt to generate an interesting or satisfying response required a process of trial and error, which experts say is common with today’s chatbots. But if you familiarize yourself with its strengths and weaknesses, you’ll be better positioned to fend it off, or even turn it to your advantage.įor this story, The Post used OpenAI's ChatGPT chatbot to enter the prompts and generate the responses shown above. Similarly, if chatbots show cultural biases or say offensive things, it’s a reminder that they’ve ingested some of the ugliest material the internet has to offer, and they lack the independent judgment to filter that out.ĪI may or may not be coming for your job. And if it’s acting like it has thoughts and feelings - or wants to break up your marriage - remember that it’s just playing off your prompts, drawing on billions of human interactions in its training data to predict the most likely response. So if a chatbot makes a factual claim, verify it elsewhere. It’s crucial to remember that they’re not human, and they’re not reliable sources of information, even about themselves. But understanding their limitations is at least as important as discovering their strengths, Willison says. AI chatbots can be impressive, especially once you start to learn how to coax better answers from them.
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