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Posts
4
Comments
267
Joined
2 yr. ago

  • That's hard for me to answer because I'm usually at home plugged in, and I set the max charge in the bios to only 65% so the battery will physically degrade slower (I don't need the charge). A few hours is really all I can say with any accuracy. Worth noting a few things -

    1. Since I bought my laptop they came out with an improved battery I could upgrade to, so you'd get a better experience.
    2. I believe(?) battery life is improved a fair bit at least with the AMD ones; less sure on the newer Intel ones.

    I will say that if long battery life is your #1 concern this may not be the laptop for you.

  • I have a 12th gen Intel Framework running Arch. I love it, although as others have pointed out the battery life could be better. Early kernels shortly after release had some incompatibility issues that required specific kernel arguments to fix. Also I had to blacklist the light sensor as it conflicted with the brightness function keys.

    The Arch wiki has a page with details on Framework laptops you may appreciate looking at.

  • Relative to other countries, the US has much more competive industries and space for new entrants to grow. In Canada for instance many industries (banking, grocers, telecom, media, etc.) are each dominated by a handful of uncompetitive companies that exploit consumers.

    To be clear I know that the US has this issue too to some extent, but it's better there than elsewhere.

  • If I were to play devil's advocate, it would be that capped rent increases is to prevent predatory landlords from increasing rent more than their costs, but that if their costs go up more then they have a way to cover that without losing the property / going bankrupt.

    That provision is maybe more acceptable when you're talking about families renting out their basement suite, but I have zero sympathy for investors who took a risk and lost. And even in the case of non-investor landlords, I'm skeptical that it's appropriate to make the tenant shoulder all the increased costs.

  • I switched jobs earlier this year for a 47℅ 'raise' - I'm absolutely loving my new role.

    My understanding is that a potential sale of my previous employer fell through because I was basically the brains that developed / maintained the only innovative thing they had done in the past 15 years, and given their lack of investment in anything else there was nothing else of value for the buyer.

  • Permanently Deleted

    Jump
  • Other way around - the AI is writing a letter "from" the daughter to be sent to the athlete. Still BS though, and I'm sure famous people just love getting spam fan mail where the person couldn't be bothered to draft it themself.

    • He could be an Arab Israeli
    • He could be ultra-orthodox
    • He could have had a medical exemption
    • He could have received Israeli citizenship later in his adult years after conscription.
    • He may have served but in a role that isn't committing human rights abuses (say working on missle defense)
    • He may have served but his political views have since developed and he's now pro-peace / anti-apartheid.

    To generalize and assume that nearly all Israeli men are war criminals is to generalize on the basis of national origin which in most jurisdictions is rightfully assumed to be racist.

  • I think it really strongly depends on what you're programming - I know in some instances Julia's performance can be nearly identical to languages like Rust. I suspect in my case it related to Julia being a garbage collected language, as my algorithm involved creating very large dynamic structures in memory before serializing them, clearing the memory, and building another one. Since Rust has no garbage collector it knew exactly when and what to drop from memory. In my case I had roughly a 10x(!!) speed-up. Funny enough an even earlier version of that algorithm was programmed in Java, and Julia was roughly 10x faster that it, so Julia isn't the worst of the pack.

  • So at my previous employer I developed using Julia a custom ML model which ran, but the performance just wasn't good enough for what I needed despite trying to aggressively optimize. I ended up rewriting in Rust (and calling through R) which ended up being like 10x faster. At my current job I program a mixture of Rust and Python.

    If Julia were more peformant then it could potentially be an alternative to Python/R users having to learn Rust - but if you're looking for top performance, some of your codebase is already written in R/Python, and you're already willing to learn another language, then learning something like Rust naturally seems the better choice over Julia.

    The one thing I did like about Julia - it took barely anytime at all to build a working prototype.