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In this case it took roughly four years for AI to suggest a test. How should we interpret the utility of AI in this situation?
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You don't understand. They were only able to feed in information that they obtained with their human medical team. So the AI was heavily constrained in what it knew.
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AI was able to suggest a test for four years and it didn't, and I'm wondering why it didn't.
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Again, this seems more like an indictment of the American medical system than kudos for AI.

For the developers here, consider: "So our CI pipeline is super flaky, and it you have to restart it in a variety of non-intuitive ways. LLMs have been a massive breakthrough because the bot can run in an endless loop reading the confusing error messages and retrying the pipeline with different environment variables until it passes!"

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