I mean OP would be paying taxes here and spending money in our economy, while not taking an existing job. That’s pretty good.
I mean OP would be paying taxes here and spending money in our economy, while not taking an existing job. That’s pretty good.
Work computer. I’d wipe it with Linux if I could.
How do you get systemd to work properly? Maybe because I tried to follow MS’s “use your own distro” instructions instead of using something prepackaged?
Many distros (at least Ubuntu) auto-installs security updates, and here a mislabeled “security update” was auto-installed. This is not the fault of the sysadmins.
No. They have a trial of 100 one-time searches, but that’s it.
The extended support updates aren’t available to end consumers but is a paid product for enterprises that need more time to update.
The big reason I switched back to Nvidia was because I wanted to play with some local AI models, and doing that with AMD cards was quite difficult at the time (I think it’s improved a little, but still isn’t straightforward).
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 -
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.
BC United (the current opposition!) basically collapsed and stopped running. This means that there won’t be vote splitting between them and the BC Conservatives.
Out of curiosity - what laptop maker is installing Sway by default?
I pay for the Softmaker Office suite, it’s pretty good and has Linux native versions.
I had a few false starts before, but MS force-updating me to the objectively worse and user-hostile Windows 8 triggered my latest (and successful) switch.
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.
Because they aren’t overriding it - the legislation allows for these rent increases in certain circumstances. Not agreeing with the law or the decision, but the arbitrator isn’t making up some new power.
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.
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.
Not at all surprising. ChatGPT ‘knows’ a course’s content insofar as it’s memorized the textbook and all the exam questions. Once you start asking it questions it’s never seen before (more likely for advanced topics that don’t have a billion study guides and tutorials for) it falls short, even for basic questions that’d just require a bit of additional logic.
Mind you, memorizing everything is impressive and can get you a degree, but when tasked with a new problem never seen before ChatGPT is completely inadequate.
Early 90s, male, North America