I got my PhD in 2008 and my room-mate was doing a PhD in object recognition. Fei-Fei Li (who now is a bigshot at Stanford now) was a professor at UIUC in the same group. In the pre deep-learning days, object recognition was tedious, boring and un-cool. Semantic web etc was hot then!! And look at things today.
At least in sciences, US universities don't typically even offer a MSc program; people can get MSc by enrolling into PhD, which is typically the only available graduate program, and quitting it after completing the coursework.
MSC’s aren’t offered as much anymore because they had the same problem as PhDs (it could take 4 years to finish one) without the prestige of a PhD at the end. They don’t even guarantee much of a jump start on a PhD. These programs have mostly been replaced by professional non-thesis or thesis-light options, along with “5th year” programs at universities that tack on a few courses and a straightforward thesis to an undergrad program (MIT is famous for these, many universities have copied that).
European universities often have the latter 5th year programs as well where they are considered even more crucial because many of them have only 3 year undergraduates.
Some students leave the school after that point, but it doesn't invalidate their MSc, nor their MSc gets converted to M Phil or whatever. It's not a common thing, but I've seen students drop with MSc mostly because of issues with their supervisors (tenured faculty without much incentive to do research at a good pace).
Edit: I looked it up, and apparently, you're making a blanket statement based on a niche practice in a handful of US universities: https://en.wikipedia.org/wiki/Master_of_Philosophy#United_St...
"Although most American universities do not award the MPhil, a few award it under certain circumstances."
Some of the more academically-focused (private) schools don't have much of an MSc program but they're atypical, and they don't dominate research like they do in other fields.
So what ? It has great value to history and humankind.
The analogy I've always used is that researchers are like miners in a gold rush. Most workers take their pickaxe, labour at the rock face, and come away with little more than sore muscles. A lucky few will strike gold (sometimes by looking in the right place, sometimes by working hard, and sometimes by being lucky). You need all those hundreds of people labouring away to find the gold, but the efforts of a single worker matter less than you might think.
If your goal is to maximize your lifetime income, academia is clearly not for you, but neither is the Peace Corps, the clergy, civil service, or anything like that. However, if you can afford to spend a few years trying to make the world a better, more interesting place then grad school isn’t a terrible option; you can always do something else afterward.
- Some do, and we're really bad at figuring out which ones the are, especially ahead of time.
- It's a collective effort. Your thesis and my thesis might not be particularly groundbreaking or influential individually, but each one is a tiny step, more or less in the right direction, towards understanding something. It's mostly a myth that "geniuses" make huge leaps forward, while everyone else muddles around. Most ideas are presaged in the literature for a while before someone puts them together and runs with it.
The large majority of phds collect fewer than 20 citations. Most papers are ready by only a handful of people. "Screaming into the void" is a pretty accurate representation of many phds (including my own).
It might sound similar, but it is not. Let me explain the difference:
A person performs a study creating lots of data. If he wanted to contribute to human knowledge he would publish the data with no comments, as he is probably not the best person in the world to analyze this data. If on the other hand he was a PhD he would not publish the data, instead he would publish some pet theories related to the data so that he can build his brand, and most of all he will absolutely not publish the data since it could possibly be used to prove that his pet theories are not relevant or maybe even wrong which would be disastrous for his brand.
Now there are of course PhD's who do the right thing but it doesn't benefit their career at all.
I do hope you're not referring to the google leak. That result is merely unreproducible with classical computers. It isn't currently useful for anything except PR.
At least that's the impression I get from a lot of PhDs. I don't have one myself, and I used to regret that, but not anymore. PhD work is hard, thankless, underpaid work that has little to no value in industry. Although it does open up opportunities to even more hard, thankless, underpaid work in academia.
The one exception is Machine Learning. A PhD in ML can apparently get you paid millions in the industry.
But if you already consider 9 months a huge hurdle, consider what a hurdle 4 years will be.
[0] https://en.wikipedia.org/wiki/May_you_live_in_interesting_ti... (It's apparently not based on any actual Chinese proverb or curse.)