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Rohan Kumar 2023-02-18 22:44:35 -08:00
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Designing tools to make people feel convenienced (the opposite of inconvenienced) is sometimes different from designing tools to make people's lives better.
ChatGPT is _very_ useful for tasks such as re-phrasing ideas and coherently assembling scattered thoughts, assuming that's the sort of thing you're willing to outsource. But current language models are detrimental for ideation: they're designed to generate the least interesting, most obvious response to a prompt. That's not my opinion; the GPT family of language models analyzes patterns in language, and generates predictable outputs. It's often "correct" when a correct answer is the most predictable, least noteworthy response. Unfortunately, it's often convincingly incorrect: [it even defeends wrong answers](https://simonwillison.net/2023/Feb/15/bing/#prompt-leaked).
ChatGPT is _very_ useful for tasks such as re-phrasing ideas and coherently assembling scattered thoughts, assuming that's the sort of thing you're willing to outsource. But current language models are detrimental for ideation: they're designed to generate the least interesting, most obvious response to a prompt. That's not my opinion; the GPT family of language models analyzes patterns in language, and generates predictable outputs. It's often "correct" when a correct answer is the most predictable, least noteworthy response. Unfortunately, it's often convincingly incorrect: [it even defends wrong answers](https://simonwillison.net/2023/Feb/15/bing/#prompt-leaked).
Use it to think, and your ideas will be disposable. Don't live your life by a model with billions of parameters optimized to help you be as predictable as possible. It's the equivalent of sending your thoughts through a smoothing algorithm that treats interesting ideas as anomalies.