Using an LLM to generate code is not an easily traceable and explainable process. Using a DSL to same ends is. PL research has yet to meet explainability in AI head on.

As an avid designer of CS courses and curricula in the not-so-distant past, I would like for it turn into a success criterion that your course gets included in this listing.

Back when I was involved in designing the BSc education at the University of Copenhagen, I remember referring the committee to the ACM/IEEE-CS/AAAI Computer Science Curricula. Great to see that there has been an update to these recently, complete with a Generative AI section and all :-)

>> does any important software use APL nowadays? > No.

That's not a question one is able to answer objectively in this world full of closed source software.

Large parts of SimCorp (https://en.wikipedia.org/wiki/SimCorp) Dimension, a suite of software for investment management used by a fair number of European banks and pensions funds, are written in APL. That said, Dyalog exists, and SimCorp does not play any grand role in its existence. So there must be others out there. The mere existence of APL keyboards is proof that there is a market for these things.

> So there must be others out there

Indeed, quite frightening at times seeing the value of firms using Dyalog APL.

> The people who do this are likely not American or Western European

Maybe not natively, but they may be working in the US or Western Europe, making upwards 50% of a Google/Facebook salary, if not working at Google/Facebook indeed.

Plenty of companies pay a decent salary for mediocre work, and will take the less morally sound developer, because the sound one isn't willing to work with their legacy code or less moral product (e.g., oil industry, financial services). Making good money in tech != good morals.

Finally, being physically in the US/Western Europe doesn't necessarily imply that you don't think that russia deserves to be treated better.

I mean. Given the world as we know it would become impoverished overnight without them, it's hard to see how oil and financial services industries can be seen as immoral. Imperfect, certainly, but immoral?

Finance companies were doing distributed systems even before Internet existed. Yes, finance has a lot of numerical work but it has a lot more data pipeline work. The reason for this is to move market data from one geographical location to another. To make profitable investments, finance companies need accurate market data from all over the world available and processed at its datacenters as quickly as possible. For this reason in the early 1980s finance companies were laying down their own cables and writing their own link layer protocols to move data from one location to another.

Now in the 21st century this has only got more intense. There is much more competition in this space. So finance companies that can make distributed systems right and reliable stand a good chance to the most money from the markets.

Finance is a huge field. I'd say the need for mathematical modelling, in one form or another, is pretty universal no matter what you do in Finance. But there are also tons of other stuff you might need on top of that depending on what specific field of finance you work in. Distributed systems can provide the data that your model relies on, or even the platform where the model itself needs to run on.

Downtime is death, and performance is important. Distributed systems usually can help you avoid some of the types of downtime, and can help you manage throughput, although straight up latency tends to be become slightly worse.

Erlang as a programming language for writing fault-tolerant systems has quite little in common with Prolog, except the syntax. That is, the semantics of Erlang vastly differ from Prolog.

Yep, works. However, you need to magically restart the browser. Apperently, it runs some background processes whose names contain neither the character sequence "firefox", nor "mozilla", according to pgrep.

GeckoMain

pgrep -f and pkill -f probably do the trick.

Just because you can earn money on something, does not make it good.

I think that bitcoin is actually a good solution to the double spending problem in decentralized currencies.

Um, what double spending problem? Do you mean the problem that the US has with cashing paper checks?

I like QR codes, and ordering via phone. You don't have to wait around for the waiter to bring the menu, take your order, take your payment. Don't have to touch a menu that hasn't been disinfected, or is out of date.

They do need to be properly implemented however. That is maybe more a business opportunity than an inconvenience.

Aren't most smartphones dual-sim by now?

No, most aren't.

I would dispute that -- except for iPhones -- almost all the smart phones I've seen sold in Asia are dual SIM.

My understanding is that the current iPhones offer both a traditional SIM card slot along with an esim, which gives you the option of two sims provided one of the carriers supports esim.

I also believe that current iPhones sold in China support two physical SIM cards and no esim.

That could have something to do with it. I've ordered from India before when I wanted a dual sim android. Local stock for that model was single sim only.

Looked at gsmarena now and indeed most models have dual-sim versions (as well as single sim). But when I look at a local store, it seems that roughly 1/2 has dual sims (that's including eSIM).

If we're talking about tourists it definitely isn't. In fact, the phones that are sold in the US are the irrelevant ones.

Well, Asian phones too I suppose. Most Xiaomi phones if not all are dual sim.

I refuse to buy phones from Chinese government majority owned companies tho.

I own Samsungs, and they are all dual SIMS.

Only in some nations.

no