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Why Chatbots Are Not the Future of Interfaces

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  • #ChatGPT
Amelia Wattenberger
@Wattenberger
(Author)
wattenberger.com
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When I go up the mountain to ask the ChatGPT oracle a question, I am met with a blank face. What does this oracle know? How should I ask my question? And when it responds, it is end... Show More

When I go up the mountain to ask the ChatGPT oracle a question, I am met with a blank face. What does this oracle know? How should I ask my question? And when it responds, it is endlessly confident. I can't tell whether or not it actually understand my question or where this information came from.

Good tools make it clear how they should be used. And more importantly, how they should not be used. If we think about a good pair of gloves, it's immediately obvious how we should use them. They're hand-shaped! We put them on our hands. And the specific material tells us more: metal mesh gloves are for preventing physical harm, rubber gloves are for preventing chemical harm, and leather gloves are for looking cool on a motorcycle.

Compare that to looking at a typical chat interface. The only clue we receive is that we should type characters into the textbox. The interface looks the same as a Google search box, a login form, and a credit card field.

Of course, users can learn over time what prompts work well and which don't, but the burden to learn what works still lies with every single user. When it could instead be baked into the interface.

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Geoffrey Litt @geoffreylitt · May 1, 2023
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Great post. I think the point about “hard to read edits without a diff” can be generalized too: plaintext is a suboptimal data viz for so many LLM outputs. We need diff views, weather widgets, mini maps, 2x2 charts, …
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