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Joined 1 year ago
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Cake day: June 1st, 2023

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    • General purpose LLMs are starting to replace everyday queries I used to posit to Google. Perplexity can be quite good for this.
    • Copilot as enhanced autocomplete when writing code. A particularly good use-case is writing tests: with a few test cases already written, a sufficiently good test name will most often generate a well-written test case.
    • LLMs for lazy generation of SQL queries can sometimes be quite nice.
    • Writing assistance for things I find myself struggling to get written by myself. A writing unblocking tool, if you will.

    It’s reducing the effort and time I have to put into some things, and I appreciate that. It’s far from perfect, but it doesn’t have to be perfect to be useful.











  • Well, one could probably deduce that a lower internal temperature than the instant point is sufficient to cook chicken, and use that in combination with a thermometer when cooking chicken.

    In fact, that’s what I’ve done after learning this, bringing my chicken breasts only up to ~68 C (~155 F), resulting in a vastly more enjoyable chicken breast.

    So I’d argue the opposite - this is very helpful for real world cooking.