You know the one thing I never see mentioned?
These systems were trained on 4Chan, Reddit, Facebook, and Twitter posts and comments. They weren’t trained on military communication, guidelines, etc.
They know more about Call of Duty than they know about actual warfare. What the fuck do you think they’re gonna recommend?
I’ve got a toddler and I’m already planning on doing that once he’s old enough to retain the memories.
So if I take a glass, fill it with cream, and put ice on top, am I now eating ice cream?
Even if I decided to call it that, you’d probably tell me that no one else would think of that as ice cream, even if I call it such or even if it’s the technically correct name, and that arguing that it is ice cream is very pedantic for no discernable reason.
The book does have that. It recommends you use some of their recipes as bases for your own.
The recipe book also isn’t that large - it has maybe twenty recipes, about half of them being ice cream (and lite ice cream) and the rest being sorbets, smoothies, milkshakes, gelatos, etc.
If you want healthy without it being high protein, look up the chocolate red bean recipe.
Tastes better than almost any full-calorie chocolate ice cream from the store while being much healthier for you. Seriously - it almost could be a meal replacement ice cream.
90kg is about the average weight of a European man.
Like the other person said, that’s not really YAML’s fault - just whoever decided to use YAML there.
If users aren’t intended to interact directly with the data, use JSON.
Or by configuring your parser.
I do agree there are plenty of annoyances that shouldn’t exist in YAML but do because someone had an opinionated belief at one point, though. For example, it shouldn’t try to guess that “yes”, “no”, “y”, and “n” are truthy values. Let the programmer handle that. If they write true/false, then go ahead and consider those truthy. Times can also be a bit of a pain - iirc writing 12:00 is supposed to be interpreted as 0.5 - but at least that’s something you can work around.
But there’s plenty in that article that are only problems because the writer made them problems. Every language lets you make mistakes, markup languages aren’t any different. It’s not a bad thing that you can write strings without quotes. It’s not forcing you to do so. Anchors also make it simple to reuse YAML and they’re completely optional. The issue with numbers (1.2 stays as 1.2 while 1.2.3 becomes "1.2.3" is very nitpicky. It’s completely reasonable for it to try to treat numbers as numbers where it can. If type conversion is that big of an issue for you, then I really doubt you know what you’re doing.
On top of all this, YAML is just a superset of JSON. You can literally just paste JSON into your YAML file and it’ll process it just fine.
I’m not saying it’s perfect, but if you want something that’s easy to read and write, even for people who aren’t techy, YAML is probably the best option.
It doesn’t have to be fire stations. But they are commonly used for a few good reasons.
They’re relatively ubiquitous. It shouldn’t be hard for someone to locate a fire station. They’re almost always staffed 24/7. They’re trained on basic first aid. Quite often, they’ll even have medics on staff.
Very importantly, though, they don’t have a lot of people coming in and out of them. One of the big benefits of this program is that there are zero questions asked and it’s as anonymous as you wish. The people who use these are often afraid they’ll be judged as a failure. The lockboxes have a built-in time delay so you can leave before the station is alerted.
Toddlers are perfect for getting in all the small fiery caverns which the grown firemen can’t fit into.
Sounds like you’re complaining more about politicians and pundits than actual economists.
It’s like saying you don’t trust geologists because they assume that the world is 4,000 years old. They don’t - just some idiots in charge do.
Calling it a fancy autocomplete might not be correct but it isn’t that far off.
You give it a large amount of data. It then trains on it, figuring out the likelihood on which words (well, tokens) will follow. The only real difference is that it can look at it across long chains of words and infer if words can follow when something changes in the chain.
Don’t get me wrong; it is very interesting and I do understand that we should research it. But it’s not intelligent. It can’t think. It’s just going over the data again and again to recognize patterns.
Despite what tech bros think, we do know how it works. We just don’t know specifically how it arrived there - it’s like finding a difficult bug by just looking at the code. If you use the same seed, and don’t change anything you say, you’ll always get the same result.