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51
Joined
2 yr. ago

  • Well it doesn't seem like there's been another Reddit exodus, especially from looking at the user numbers for Lemmy. There hasn't been a big screwup lately like with Meta or Twitter (but I think Bluesky is absorbing the Twitter refugees currently).

  • For existing customers, the price hike won't be kicking in until plan renewal, and there are options to downgrade the plan. Those who want to avoid using AI can downgrade the plan to the "Classic" or "Basic" Microsoft 365 plans.

    Thankfully we can roll back to the "Classic Family Plan" without the AI features. But annoying that they automatically switched plans and I had to switch back. If I didn't see this article I'd be up for a big price hike when it renewed.

  • It's totally obscene. I traveled to the USA recently for 5 days and my options were:

    i) Pay Telus $14/day * 5days = $70 (plus tax)

    ii) Buy a US 30GB 10-day esim for $11.27 taxes included.

    Plus in option i) I'd be using the data from my own data plan. Unless you really need to be able to use SMS and receive calls, it's really a no brainer. Especially with how easy esims are to setup, I just had to switch a setting in my phone when I crossed the border. Crazy part is, if it was ``only" twice the price, I'd probably have just paid Telus.

  • The $38.9 million fine Cineplex has now been handed is equivalent to the amount it collected from consumers through the $1.50 online booking fee between June 2022 and December 2023.

    This is already way harsher than corporations usually get but I can't help but wish it was more that all they got because they come out with no actual loss.

  • Everyone's hating but honestly fair enough move.

    On the whole, nobody uses Bing or takes it seriously anyways and so I guess they have to find their niche. It's certainly not aimed at us (Lemmy/Fediverse users) who are generally more privacy conscious. If it can attract some mainstream users (e.g., Google users, people like your parents, etc) or stop some users from immediately switching their search engine to Google, then it might be a good decision for them.

    Bing providing the exact same service as Google but worse clearly wasn't working for them.

  • Certainly not limited to IT. One of my professors from many years was an aerospace engineer1. He recounts to us the time that he busted his ass on some design for a long time and managed to make some huge cost savings. And then after it was done he realized that all he really did with his extra hard work was help some executives and stockholders get a bit richer. Not long after that he switched to education.

    1Not in the defense industry

  • Ok then. I'll echo what some others are saying about 16GB being sufficient. If you were in engineering every now and then it's not enough but I don't think its the case for comp sci. I'd leave the door open and get one in which you can upgrade the RAM though.

    One thing to look out for is CPU performance. I find the laptop CPU market is a disaster right now in which you really don't know what you'll get. LTT has a recent video on the topic. For most courses it won't actually matter that much. Some examples of the ones where it could make a difference are numerical linear algebra courses, machine learning (classical, not neural networks), and computer vision (again, classical). In some of these extra RAM might also be helpful but I'd prioritize a better CPU over the RAM. You may look at CPU benchmarks to get an idea of their performance.

    In terms of GPU... I don't think you'll get anything capable enough for training neural networks at this price point, which is the only thing you may need it for in comp sci. But it'll help with light gaming (but I imagine integrated graphics is good enough for minecraft these days—but dont quote me on that).

    Also lastly, I would still recommend finding something with decent Linux support even if you dont want to use it (yet), you may choose to install it down the line. My Dell XPS/Precision has pretty poor linux support with buggy trackpad issues which has caused issues for me in the past. Many comp sci students end up switching to Linux/dual booting for a good reason.

  • Great read. Even in STEM research as a grad student I'm very tired of every saying "let's try machine learning on this problem" to get something that works marginally better than some conventional models but requiring huge amounts of computation and data.

  • Canada @lemmy.ca

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    95% sure this is accurate

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    How do you guys have your music streaming setup?