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Richard Barrell

0x2ba22e11@unstable.systems

<p>I like automata and hugs.<br />Computer programmer, in Bristol, UK.</p>

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    OH: &quot;the kind of vampire that sucks dick for bus money and then walks home.&quot;

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    @tewha@appdot.net I saw David Chisnall post something about this that I think fits very well: in general ML is useful when the cost of mistakes is low and the value of correct answers is high. For example using ML for branch prediction or for indexing into database tables on disk: if the ML outputs a correct answer the computer runs a little faster and if it outputs wrong answer the computer runs barely slower than if it hasn&#39;t tried guessing. I think code review fits that framework: failu...

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    Something that bugs me about GitHub and its competitors is that there is no clear path for messaging maintainers with positive feedback. Complaints? Yes, those go straight into the bug tracker. But there&#39;s nowhere obvious to send &quot;hey this is great, thank you so much&quot; other than filing a bug that says &quot;this project is too helpful and you&#39;re all wonderful people&quot;. (I bet this contributes to burnout.)

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    I had a pony step on my foot once when I was a kid. Didn&#39;t hurt or anything. It was a small pony, I was wearing wellington boots and I was standing on soft ground.

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    You know those little plastic compartmentalised pill boxes they make with 7 segments and weekdays written on each pill? Turns out they do work and they are really convenient.

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    I heard there&#39;s a really mysterious ongoing problem at the United States Mint. It just doesn&#39;t make cents.

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    @ariadne ah thank you. I hope you&#39;re having a good day.

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    @ariadne hi I just remembered a few years ago having a brief conversation with you about how busybox is slightly a PITA for Alpine Linux maintainers because it&#39;s a bit buggy and how there was some interest in maybe replacing it. I&#39;m just curious now: did anyone have a serious go at replacing busybox in Alpine?

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    @dashdsrdash @mhoye slightly aside from your main point here, I quite like that as a definition of &quot;big data&quot;. If it&#39;s big data then it doesn&#39;t fit on a single computer and you need to do something distributed to get it to fit. Has some nice side benefits like accurately tracking that the definition of &quot;big&quot; changes every year as new components with larger storage capacity become available. Also &quot;medium data&quot; if it fits in SSDs on a single computer, &quot;...