“we had this idea, no idea if it’s possible, we may not make it, but fuck anyone else who tries to do this”

Correct, JSON can handle any precision, because it’s just dumped as a string anyway, just not enclosed in the "". However, as you mentioned, as soon as it comes through the parser it’ll put it into an underlying float value. In C# I create a save high precision attribute that will take the value and put it directly into a decimal. In JS I’m sure there’s some way to do that, but that parser is way less extensible compared to C#. However, this also all assumes you know the client will parse it correctly, overriding the default behavior. Safest is to just send it as a string, and then create your parsers to automatically send to and from strings

Until you get to multi currency, which is why I don’t support using ints or longs, and strings are still the only way. There are currencies that have no precision, and others that have 3 or more digits of precision - and then you’re looking at doing calculations each time. Strings are the safest way to make sure you’re representing exactly what you want to when sending data over the wire or persisting

The fun differences between the perfect world of theoretical and the realistic. Everyone thinks of computers as perfect - but it’s not until you’re asked to solve “How do you store decimals using only 0s and 1s?” does it start to click. Not as easy. It’s why I’m hesitant to hire bootcampers into my roles. Bootcamps are great, and they get more people coding, but you don’t learn that theory behind the scenes - you don’t really know what the computer and operating systems are doing. For 90% of the time it doesn’t matter, it’s abstracted away - but that last 10% man, that can really fuck up an entire system.

Long and short, floating point math is imprecise, and when dealing with currency you must be 100% precise. One of those rules of programming: Never store (or let currency flow through) a float. That includes doubles too.

In javascript, the number type is imprecise, it is contained by a float under the hood, meaning precision can be lost. So even just parsing JSON to a number, even if you mean to move it into something like BigNumber, the precision is already not guaranteed when it finally gets to BigNumber. The safest thing to do is pass the numeric values as strings, which are guaranteed of course to represent their exact precision and value, and then use a proper precise parser to the value, like BigNumber.parse(strValue). (Even then, there’s an argument that it’s very rare that you ever need an amount outside of a string in a UI. Most calculations should be handled by a server that’s the single source of truth in calculations, think sales tax and shipping, so a string is just a value that is presented to a user).

In C#, float and double are imprecise and not guaranteed, especially with arithmetic. Decimal is the best way to store an exact value.

In databases, it’s usually best practice to store the string value of the amount for exact precise recordkeeping, with a decimal field next to it labeled something like AmountImprecise that you can use for aggregating, sorting, grouping, whatever.

Every language will have it’s quirks, but essentially, take this from me, a senior fintech engineer. If you see currency amounts, think precision, and know you’ll need to take extra extra care about how it’s stored. You don’t want to accidentally office space yourself, especially when auditors come around.

All of us fintech devs however, know the true horrors. Make everything a string, lest ye end up in precision hell

bingo. Timezones became easier when I learned that all apps and databases should have all times be in UTC. Let the UI do it’s thing and accept local time and convert it, and vis versa.

FemShep is the best way imo.

I’ve heard the weirdest excuses for why not though, worst ones were “why would I want to play as a woman, I’m a man”. Now, on your first playthrough absolutely but after that?

This is all over a GitHub stars badge? Developers probably want to encourage people to star it. It’s a huge stretch to say they’re trying to track people

Hot take. All Americans lost last night.

You’ve been sitting in the drive through for 10 minutes how do you not know what to order?!

Me, 16 years old, on the other end of the speaker

I like to do things cost per hour. A $60 dollar video game that gives me 120 hours of content is $0.50 an hour. Pretty good if you ask me.

Going to the movies is $20 for 2 hours. $10 an hour. Pretty high, sometimes worth it. That’s about my gauge.

This is $21 an hour. For that I better be having just an amazing time, I better be at Disneyland or something.

I know it’s weird here on the fediverse, but I’ve been through it. If you want, DM me anytime, or DM me and I can give my mastodon. Should probably start a community sometime. It’s been good talking to you too!

I wish you luck, but be prepared for anger in response. Just be ready for it. Make it not about the politics but instead the hate, the anger. Hell try to make it about politics but instead make it about the hate. It’s not about Biden or trump, it’s the anger.

By then the startup ceos will have made their money and ran though. Just like Blockchain

I was just thinking yesterday how the rest of the country’s conservatives look at Seattle as a burning liberal hellscape, but we actually have a lot of conservatives here. What do the conservatives here think when fox news says that capital hill is still under riots?

Costs is the key thing. People know it’s nice, so people move here, and costs go up. Expect 2000/month rents, and that’s the low side in some areas

For me it’s useful, depending how it’s implemented. Being able to say “summarize this article” or “summarize this ToS and call out anything that’s anti consumer” is how I use chatgpt

Edgy McEdgerson is checking in!

Which is why as an engineer I can either riddle with a prompt for half an hour… Or just write the damn method myself. For juniors it’s an easy button, but for seniors who know how to write these algorithms it’s usually just easier to write it up. Some nice starter code though, gets the boilerplate out of the way

This was exactly my experience. Freaked myself out last year and decided best thing was to dive headfirst into it to figure out how it worked and what it’s capabilities are.

Which - it has a lot. It can do a lot, and it’s impressive tech. Coded several projects and built my own models. But, it’s far from perfect. There are so so so many pitfalls that startups and tech evangelists just happily ignore. Most of these problems can’t be solved easily - if at all. It’s not intelligent, it’s a very advanced and unique prediction machine. The funny thing to me is that it’s still basically machine learning, the same tech that we’ve had since the mid 2000s, it’s just we have fancier hardware now. Big tech wants everyone to believe it’s brand new… and it is… kind of. But not really either.