RickyWars1
Feels safer than day riding too with a 2000LM light.
Honestly just need to find one that fits YOU and is safe.
I got a Bontrager Spectre Wavecell because it felt the best on my head from all the helmets I tried and the tech is safe (MIPS is also very good).
I wear it from -15°C to +30°C and it’s good for me. The helmet is not the problem outside this range, it’s just generally too hot/cold, it isn’t the top of my head that gets way too hot/cold. As long as you don’t get an aero helmet I think you won’t have any temperature problems.
However, this decline seems to be due to the previous fiscal period being exceptionally good for FromSoftware, as it started shortly after the release of the company’s global hit Elden Ring
Kind of a nothing-burger.
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.
I expect to be able to code in it
What kind of student? Computer science? Engineering?
