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Cake day: July 10th, 2024

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  • Different waters taste differently. Tap water taste differs from region to region. Bottled water tastes differently between brands and also compared to tap water. This is also caused by varying amounts of minerals.

    If you think your sense of taste works fine, but can not tell taste differences in water, try making direct comparisons. Take some bottled water and some tap water (if it is safe for drinking whereever you live). Then take a sip, focus on the taste. Try making out differences. Repeat a couple of times.
    If you still can’t make out any differences and you weren’t impatient, it might be worth training your sense of taste first, because water does have a flavour.


  • Leitungswasser > Flaschenwasser

    In Deutschland ist Leitungswasser auch deutlich sauberer als Flaschenwasser. Für Flaschenwasser gelten weniger strenge Regulationen, was den Schadstoffgehalt u.ä. betrifft. Leitungswasser wird hierzulande auch flächendeckend gründlich und häufiger, teils täglich, kontrolliert. In Bezug auf Mineralwasser gibt es nur wenige Mineralwasser, die mehr Mineralien enthalten als Leitungswasser. (Gerolsteiner zählt afaik aber zu jenen wenigen.) Es ist auch regglär so, dass Leitungswasser sogar mehr Mineralien enthält als Flaschenmineralwasser. Dann kommen noch Umweltaspekte hinzu. Bei Leitungswasser entfällt die ganze Logistik und Vermüllung aufgrund der Flaschenabfüllung, Verteilung und Entsorgung. Damit ist Leitungswasser auch deutlich umweltfreundlicher und nachhaltiger. Günsitger ist es auch. In Bezug auf Mikroplastik ist Leitungswasser idR auch weniger belastet als Flaschenwasser.

    Leitungswasser für den Gewinn!



  • Depending on the application case and benchmark, being 0.1 to 0.3 % better than other SOTA approaches can still be statistically highly significant. Even though such a number does notmlook like much, it can mean a large leap forward in practise.

    Anyway, I wouod add a machine learning paper type that was written by an LLM and nobody cared to call that out in the peer review.




  • Can not recommend from personal experience. Their phones break easily, including electronic malfunctions. And their customer support sucks. According to them, they do not even like to have the phones to be taken outside.
    On the upside: they are usually easily repairable. Do always make backups of important data, photos etc. from day one though.

    I have been calling them Shitphone since. Feels more appropriate.













  • Is your resume clearly AI generated? (Yes means I pass) If I can’t tell it’s AI, I don’t care.

    What are your criteria to judge whether a resume was “clearly AI generated”?

    Have you been at prior jobs for more than a year. One job less than a year is fine, more is a trend

    How is that relevant? Especially if you do not know the reasons. Maybe someone had a bad luck streak and was very unhappy at the prior employers. Someone does not necessarily know things like these beforehand. That’s what probation periods are there for. Speaking of: there are multiple companies who hire people just for a short amount of time and fire them before the end of the probation. Basically exploiting the system. Then there are projects with a limited duration of time, maybe less than a year, for which one got hired for. I can think of more possibilities.

    You will never be able to infer the real reasons just by looking at a piece of paper with a list of previous work experiences. You would need to talk to those people. Otherwise this selection criterion seems arbitrary.