There’s a new AI bot in town: ChatGPT, and you’d better pay attention, even if you aren’t into artificial intelligence. ChatGPT is an AI chatbot system that OpenAI released to show off and test what a very large, powerful AI system can accomplish. You can ask it countless questions and often will get an answer that’s useful. For example, you can ask it encyclopedia(百科全书) questions like, “Explain Newton’s laws of motion.” You can tell it, “Write me a poem,” and when it does, say, “Now make it more exciting.” You ask it to write a computer program that’ll show you all the different ways you can arrange the letters of a word.
ChatGPT is a big deal. The tool seems pretty knowledgeable in areas where there’s good training data for it to learn from. It’s not smart enough to replace all humans yet, but it can be creative, and its answers can sound authoritative(权威性的). A few days after its launch, more than a million people were trying out ChatGPT. And it’s becoming big business. Microsoft promised to invest billions of dollars into OpenAI, saying it’ll build features into cloud services. OpenAI announced a $20 per month ChatGPT Plus service that responds faster and gets new features sooner.
But ChatGPT is an AI that’s trained to recognize patterns in mass text harvested from the Internet, then further trained with human assistance to deliver more useful, better dialog. The answers you get may sound reasonable and even authoritative, but they might well be entirely wrong, as OpenAI warns. Sometimes, helpfully, it’ll specifically warn you of its own shortcomings. For example, when I asked it who wrote the phrase “the squirming facts exceed the squamous mind,” ChatGPT replied, “I’m sorry, but I am not able to browse the Internet or access any external information beyond what I was trained on.” (The phrase is from Wallace Stevens’ 1942 poem Connoisseur of Chaos.)
The fact that it offers an answer at all, though, is a remarkable development in computing. Computers are famously literal, refusing to work unless you follow exact syntax(句法) and interface requirements. Large language models are revealing a more human-friendly style of interaction, not to mention an ability to generate answers that are somewhere between copying and creativity.
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