

The primary use-case for LLMs once again appears to be gooning
The primary use-case for LLMs once again appears to be gooning
It’s mostly a skill issue for services that go down when USE-1 has issues in AWS - if you actually know your shit, then you don’t get these kinds of issues.
Case in point: Netflix runs on AWS and experienced no issues during this thing.
And yes, it’s scary that so many high-profile companies are this bad at the thing they spend all day doing
Mainlining industrial-strength copium
I think that’s what the parent comment was saying, essentially.
You prepare for these by doing specific exercises for them, sad as it may seem.
Leetcoding problems? You grind them out for a month or two to prepare for doing them during interview loops.
Mock interviews can help too, to get you better at handling the stress. You can use services/groups for these, or just go interview for random places you’re not necessarily planning to actually say yes to.
It’s cringe
No need for the likely-qualifier - it definitely won’t make a difference in perceived sound quality.
You basically need expensive gear under the right conditions and training to be able to tell. Modern audio codecs are extremely good - the main thing you will get out of lossless is more storage/data usage
Still on the Slay the Spire-train. A downright excellent game.
Also playing some Hades 2
Pick-Up Group
Definitely. The business model for basically all of the insurance industry - denying as many claims as possible directly contributing to the margin of the company - is fundamentally broken. A real pity on account of how good and beautiful the core idea of insurance is.
If your car got hit, then I’m guessing you’re dealing with the other drivers liability insurance, right?
I can’t speak for how the legal system where you are works, but I would hold the other driver liable for every single cent, involving a lawyer if necessary.
Agreed. If your commits are reasonably structured, rebasing is far more helpful.
Although these days I usually opt for one ball-of-mud commit while developing the code, which is always fairly trivial to rebase - only one commit, can’t have follow-up issues - and then I redo the commit structure from scratch as a part of preparing the code for the benefit of the reviewer.
You enable it using git config
, after that it will apply to whatever frontend you’re using.
Depending on how structured your commits have been, it can either be very difficult to get a rebase through or a complete breeze. There are some features to make it easier - rerere
being the main one I’m thinking about.
This particular station is unusually minimalistic for the Stockholm metro.
For an example of what I would call a more spectacular looking station, check out this photo of Rådhuset: https://stockholmartwalk.se/guide-to-the-art-of-stockholms-subway/the-history-of-the-art-at-radhuset-metro-station/photo-location-5/?lang=en
Hötorget station. A particularly confusing one to understand the exits, I never seem to be able to get out where I want.
What’s your mental model for a Git commit, and a Git branch?
Once I properly learned those two concepts, understanding rebases became a lot easier.
I’ll try to explain it to the best of my abilities.
When you rebase a particular branch, what you’re essentially doing is taking all of the commits that are currently on your branch, checking out the other branch, and then applying each of the patches in order on that new branch.
A rebase can be cleanly applied if the premise for each commit has not changed when applied, but if the premise has changed, you get a conflict to be resolved before being able to continue the rebase.
I mentally model a rebase a bit as a fast version of how it would look like to build the branch I was on, but on top of the branch I’m rebasing on.
Get yourself some of these for all of your bag-closing needs: https://www.ikea.com/se/en/p/bevara-sealing-clip-anthracite-dark-yellow-90524179/
Costs just above 1 EUR for a set of 6, so you can probably even afford to get 2 or 3