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It's not the technology. Voice transcription works great, and from the point of view of extracting meaning, even pattern matching would do better than the embarassing failure of today's voice assistants. It's a matter of product. We are living in an IT world where there are no great people able to turn the technological potential into useful things.

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I agree, but I think things will likely change soon. The main thing holding progress in this field seems to be privacy issues and sending data to the cloud. However, we already have human-level voice transcription that you can run on a low-to-moderate hardware at home, so all it takes is for the average developer to be able to run GPT-like LLMs on their machine. At this point I think the quality will improve really fast.

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