Hmm, interesting. I always write Markdown unformatted, so where I put the asterisks in myself. So, that's a decent reality check, I guess.
trem
joined 4 months ago
If they wanted to make a specific part of the command bold, that still wouldn't work.
Could underline the part, I guess, like this:
ls -la
###
(# starts a comment in shell syntax, so doesn't get run, in case someone pastes the whole thing.)
I mean, Markdown was specifically designed to be convertable to HTML. So, it is structurally rather similar. It's basically just a bunch of aliases for a subset of HTML tags.
Having said that, it is also designed to be plain text. You don't have to convert it, and even when you do convert it, there's a good chance that what you've written in plain text will look fine in converted Markdown as well.
For the purposes of this meme, I would certainly group it with plain text.
Nope, it is quite a literal Fallout 3 reference: https://www.pcgamer.com/heres-whats-happening-inside-fallout-3s-metro-train/
One time I was in the next town over where they have a grocery store chain that I can't normally shop at. So, I figured I'll get the big shopping cart and grab everything that looks interesting.
Went through the whole store and in the end, I stood at the checkout with a pack of cookies and some vitamin tablets. That almost felt worse than walking out without buying anything. It felt like I was insulting their product selection.
Although, to be fair, it was absolutely terrible.
Oh, hmm, no idea. I certainly wouldn't put it past them to choose even more confusing naming, though...
You're doubly confused. You're thinking of GitHub Copilot, when this is about M365 Copilot. Last I heard, they have 78 different products called Something Copilot, so confusion is understandable.
But then what you're actually thinking of is the "GPT" series of large language models, developed by OpenAI.
GitHub Copilot is merely a GUI and a harness for large language models. It defaults to the GPT models, and is probably somewhat optimized for them, but it can use other models as well.
This harness can influence the quality quite a bit, as it decides which source code files to feed into the model for context. I'm not aware of people saying that GitHub Copilot is particularly good at that, but it's available as an extension for IDEs, so it automatically knows which files you're editing, which can be useful.
And yes, the GPT models have fallen quite a bit behind since the start of the year.
I imagine, the problem comes in from there being wildly different sizes of both, dogs and chocolate.
I once heard a story, where a small dog had eaten chocolate, so the owner called the vet. And at first, the vet told them that it's probably fine, but wanted to know how much chocolate the dog ate.
And when they then told the vet, that the dog had eaten a full-size chocolate bar, suddenly it was treated like an emergency. As in, they had to bring the dog to the vet immediately, got treated before everyone else still waiting, and the dog was given a drug to make it puke out all the chocolate.