Wonderful. Along with original MIT Scheme it is a great teaching language and an example of clarity, brevity and conciseness which comes from a rigorously trained mind.
Education (and inflated government) is a new way of signaling a higher social state, similar to scholastic priesthood of the past.
It is entirely a social construct (aside from practical, concrete-math-based STEM and engineering).
Another real-life aspect is that passing through a really decent schools like MIT or Caltech (or Yale, as an exception) is a proof (by example) that one is capable of self-discipline, concentration, self-improvement, able to do research and learn on by doing.
Aside from that a degree is just and merely a social status certificate, a certificate of belonging to a higher social class (no matter actual skills and abilities).
I myself am from a third-world social shithole and never went to a high school. I could, however, beat a vast majority of so-called liberal arts majors and even some Stanford grads, which I regularly did on this very site before CoCs and bans for use of an "inappropriate" language.
So, there is nothing much to talk about. A crappy degree is a social status certificate, and obsession with language usage, long-words and polit-correctness and fancy abstract terminology is merely a signaling of assumed, self-proclaimed (and almost always absent) virtue.
Having a self-contained single JAR that doesn't even depend on the host's ABI or OS and requires exactly one system dep - a JVM - is even nicer. And if you do want a statically linked self-contained ABI-OS specific binary Java give you that too now.
In asia, especially in rural areas, it is common to wake up early, between 5:30 and 6:00 and do a lot of things, including playing football, before reaching school at 9 am. And, you see, they are perfectly healthy and smart.
Of course, almost everyone is going to bed about 9 or 10 pm.
Failure to take into account cultural and social differences plague so-called studies all the time.
Rice as the cause of health problems is another example. Almost 2/3 of humanity consume rice on a daily basis, sometimes few times per day.
That the notion of intelligence requires the notion of instincts and hardwired self-preservation, so that training/learning phase would be more efficient and meaningful.
Basically, we should try to build an animal, which has an astonishing amount of intelligence (unattainable by any ML yet) in the evolved to match the shared environment brain's structure) first, before trying attacking a human-like intelligence.
Animal mind first. All the pattern-matching on hardwired pre-build structure, augmented (transformed) by learning is here.
Love Pirsig's analogies and can't resist to point out that a "classic approach" will always beat an ignorant hype-driven bullshit in the long run.
Informix (now dead?) vs. Oracle is another classic example from the past.
Oracles's domination absolutely does not imply its technical superiority, actually popularity is usually a bad thing (hello, Ayn Rand) - Java and junk food are insanely popular.
It is useless to cowardly downvote an unpopular opinion without giving any reasons or because you don't like the style of a comment. Cosplay of political-correctness huts the truth and sometimes a form (wording) matters a lot.
Well-researched thing will always beat fast-coded-to-market crap. Erlang (despite all its syntactic ugliness), Go (especially stdlib and runtime, which is hard), Scala, Redis, nginx, Haskell (monad-madness aside), Clojure etc, etc.
Ability to produce a lot of crappy code quickly is not a substitute for a decent academic research with proper attention to details. This is the point. Postgres was a research vehicle in the past, now polished to a state-of-the-art product, just like SQLite.
How is MongoDB, by the way? Still a default choice or it has been recently obsoleted by a blockchain?
Location: India/Nepal/Sri Lanka
Remote: yes, only
Willing to relocate: Sweden/Norway only
Technologies: Functional Programming, Erlang, Haskell, Ocaml, Scala, Clojure, etc
Résumé/CV: https://karma-engineering.com/lab/wiki/TitleIndex
Email: lngnmn1@gmail.com