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Essays – Benedict Evans

Unbundling AI

Benedict Evans

2023-10-05 04:08:00

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Summary

In the past year, ChatGPT 3.5 has been launched, posing questions about its utility and potential use cases despite issues like machine-generated answers possibly being wrong, and the challenge of presenting and packaging uncertainty while leveraging its capabilities. The technology’s potential raises questions about how to make the most of it, how to address and manage uncertainty, and if it might require specialized interfaces rather than general-purpose ones.

Key Themes

Machine Learning: Use of statistical models to answer questions or provide outputs, which creates challenges in providing a definitive right answer.
ChatGPT: Challenges and potential use cases of leveraging the capabilities of machine learning models like ChatGPT for general web search and automated content generation.
Product Design: The product design challenges in using machine learning models like ChatGPT, including presenting and packaging uncertainty and specialized interfaces.

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