If you can keep 4 "Java boxes" fed with work 80%+ of the time, then sure EC2 is a good fit.

We do a lot of batch processing and save money over having EC2 boxes always on. Sure we could probably pinch some more pennies if we managed the EC2 box uptime and figured out mechanisms for load balancing the batches... But that's engineering time we just don't really care to spend when ECS nets us most of the savings advantage and is simple to reason about and use.

https://oldinsurancemaps.net/map/YK41FR

And this shows no volumes available:

https://oldinsurancemaps.net/viewer/tampa-fl/#/center/-84.77...

Same thing for Key West, FL.

Putting on my tin-foil, devils-advocate hat... AKA I don't necessarily believe this but I also have no counter-argument:

Mostly performative. When it's decided that something actually needs to pass, then you'll get some sacrificial lambs that vote across the aisle. Typically they'll be close to retirement or from a state where they won't be heavily punished for that specific vote.

As a concrete example, there is a class of problems that are well served by dynamic programming. So we would review specific examples like Dijkstra's algorithm for shortest path. Or Wagner–Fischer algorithm for Levenshtein-style string editing. But we would also learn, often via these concrete examples, of how to classify and structure a problem into a dynamic programming solution.

I have no idea if this is what is meant by "l33t code solutions", but I thought it would be a helpful response anyway. But the bottom line is that these are not common in industry, because hard computer science is not necessary for typical business problems. The same way you don't require material sciences advancements to build a typical house. Instead it flows the other way, where advancements in materials sciences will trickle down to changing what the typical house build looks like.

I imagine there's entire companies in existence now, whose entire value proposition is clean human-generated data. At this point, the Internet as a data source is entirely and irrevokably polluted by large amounts of ducks and various other waterfowl from the Anseriformes order.

I think it's still pretty impressive in its recoveries, even though there's an unnaturally large number of them necessary. About 8 seconds into the video on the homepage, it almost misses and ends up slipping off the second step. I've eaten shit at missing a couple inch curb, though I don't think "graceful" has ever been used as a descriptor for me. So the fact that it just recovers and keeps going without issue is impressive to me.

https://www.youtube.com/watch?v=iLHC2_gByQ8

IMO it's fine to pick a favorite and devote extra resources to it. But that turns less fine when one also starts working to deprive everything else of any oxygen because it's not your favorite. (And I'm aware that this criticism applies to lots of communities.)

If Apple does not control the actual subscription, but is only providing an interface for managing it, then Apple must then alert the actual owner of the subscription upon changes. There's then no guarantee that the code on the other side is properly handling that alert.

Now, maybe this is a difference between the study and the article. Maybe the study makes stronger claims here than the article does. But I didn't see anything in the article that claimed nor demonstrated causation, only correlation.

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Doesn't all the non-heat work eventually just become heat? Or am I misunderstanding your usage? Like a car with a solar panel still ends up radiating work as heat, by either air resistance (heat) or brake friction (heat).

> hell even big operations like a heart transplant or C-section are rarely done "in the moment."

Agree on the plannability, but not on the predictability. Once you are on that table, and especially if you are under anesthesia, there are an untold number of ways that procedure can quickly turn into a secondary emergency procedure. It's a miracle of modern medicine that such invasive procedures are perceived as being trivial.