Thou shalt not create a machine to counterfeit a human mind.

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Joined 2 years ago
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Cake day: December 14th, 2024

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  • So… I actually proposed a use case for NLP and LLMs in 2017. I don’t actually know if it was used.

    But the usecase was generating large sets of fake data that looked real enough for performance testing enterprise sized data transformations. That way we could skip a large portion of the risk associated with using actual customer data. We wouldn’t have to generate the data beforehand, we could validate logic with it, and we could just plop it in the replica non-prodiction environment.

    At the time we didn’t have any LLMs. So it didn’t go anywhere. But it’s always funny when I see all this “LLMs can do x” because I always think about how my proposal was to use it… For fake data.




  • WTFM is job one. Honestly WTFMs and RTFMs should just be a requirement to any computer science degree.

    CS101: RTFM - Someone has already helped you.

    CS102: WTFM - You also need to help others.

    CS103: FTFM - What to do when help isn’t provided.

    CS104: GDFL - What to do when there is no more help.

    Edit: Other courses I teach include

    CS201: WTFPM - Code Quality

    CS202: UTC - The only time that makes sense

    CS203: 1 - Counting for machines