For that kind of money you could buy a VERY large house off campus.
You couldn't buy a house for that price, at least not in the places most of these universities are.
The reason housing is that expensive is because universities require you to stay in university housing, for a few semesters at least. Is that a ripoff? Yes it is.
the standard quote for the rate of return on diversified investments in the stock market is 7%
Yeah, but it's not true. Note that you will always hear that quote from people who want you to buy things.
The real question you want to ask a fund manager is, "If I give you all my money, and you in return give me a fixed percent every year, how much would you guarantee to give me?" In those cases you'll hear a more honest 1-3%.
Why do the Oracle-owned libraries exist if they are adding zero value?
The same question could be asked of almost everything Oracle produces, including Oracle DB. Corporate customers with too much cash, who trust Oracle. Fortune 500 companies value stability and accountability over a few million here and there, and Oracle provides that.
You can see some of their corporate offerings here, it's #3 and #4. #4 is especially instructive, because if you are willing to compile OpenJDK for your device, you don't have to pay anything (which is what Google does now). But some managers don't trust their programmers (maybe with good reason), and they'd rather pay Oracle to compile it for them. It makes them feel better.
1. Do you have to go out of your way and invest significant time and effort to avoid the use of these Oracle-owned libraries when you want to develop software in Java?
No, you have to go out of your way to use them.
2. Are you able to write good software without the Oracle-owned libraries? (good = robust, efficient, secure,...)
Yes, assuming you are able to write good software at all. That is on you.
Yeah, most of them were in the Mach kernel (Apple still uses header copyright from CMU in the 90s, even in iOS), and if you're willing to just go by function definitions, not the exact same code, then some of the system calls date back to the 70s.
This 'security researcher' may be surprised to find that most of the software he uses on a Mac calls some 'antique system calls' that existed before OSX.
There's probably a level where it's hard to know if it's conscious or not, but so far we haven't even gotten close to that level.
Incidentally, if you could define consciousness, you'd probably be really close to creating it. I think it's more important to figure out how the human brain stores information, though.
but the DeepMind/AlphaGo achievements are pretty astonishing IMHO.
I thought so too, but AlphaGo is mainly just a tree searching algorithm (which is why it takes so long to move, even with such huge CPU power). As you can see from this graph, Go AI was already on a trajectory to beat humans, as better and better hardware came along. The real breakthrough was employing a Monte-Carlo algorithm, which in that graph I linked to is at the inflection point.
Google managed to leapfrog the competition in Go computing by throwing a huge cluster at it. On a single CPU, alphago doesn't do nearly as well, and other computers are close in performance.
AI means what it's always meant to researchers since the 60s (outside of SciFi): software that solves problems that can't be solved in a straightforward procedural way. E.g., voice recognition and image recognition are "AI problems" that have largely been solved (still some ground to cover in machine vision, but the core work is there).
Note that what you are referring to is called weak AI, which is a term created because people realized they weren't making any progress on actually creating real (strong) AI.
Price is still an issue though. If there were a $15k Tesla (or other electric car) with a true range of 150 miles, that thing would be selling like crazy.
I don't understand people. I can't drive to the middle of a mountain range, and charge an electric car. There's no electric grid there. I can easily fill up on fuel wherever a fuel truck can drop some off
That's not a very common use case.
If it were, the mountains would be full of people.
Slashdot Mirror
For that kind of money you could buy a VERY large house off campus.
You couldn't buy a house for that price, at least not in the places most of these universities are.
The reason housing is that expensive is because universities require you to stay in university housing, for a few semesters at least. Is that a ripoff? Yes it is.
the standard quote for the rate of return on diversified investments in the stock market is 7%
Yeah, but it's not true. Note that you will always hear that quote from people who want you to buy things.
The real question you want to ask a fund manager is, "If I give you all my money, and you in return give me a fixed percent every year, how much would you guarantee to give me?" In those cases you'll hear a more honest 1-3%.
when I learned it would be around $25k/semester the reality sunk in that I was limited to my state college.
And that doesn't include housing, which can also be $20k a semester.
Why do the Oracle-owned libraries exist if they are adding zero value?
The same question could be asked of almost everything Oracle produces, including Oracle DB. Corporate customers with too much cash, who trust Oracle. Fortune 500 companies value stability and accountability over a few million here and there, and Oracle provides that.
You can see some of their corporate offerings here, it's #3 and #4. #4 is especially instructive, because if you are willing to compile OpenJDK for your device, you don't have to pay anything (which is what Google does now). But some managers don't trust their programmers (maybe with good reason), and they'd rather pay Oracle to compile it for them. It makes them feel better.
1. Do you have to go out of your way and invest significant time and effort to avoid the use of these Oracle-owned libraries when you want to develop software in Java?
No, you have to go out of your way to use them.
2. Are you able to write good software without the Oracle-owned libraries? (good = robust, efficient, secure, ...)
Yes, assuming you are able to write good software at all. That is on you.
Uh, the page you linked to says they were trying to get Snowden, not Assange.
Everyone knows who wants Snowden.
That has nothing to do with Java the language. It has to do with some libraries owned by Oracle.
What is so difficult about getting a two-speed transmission? I feel like that's something we have a lot of experience designing.......
Yeah, most of them were in the Mach kernel (Apple still uses header copyright from CMU in the 90s, even in iOS), and if you're willing to just go by function definitions, not the exact same code, then some of the system calls date back to the 70s.
Yes, OSX has an executable /tmp by default.
I just checked.
This 'security researcher' may be surprised to find that most of the software he uses on a Mac calls some 'antique system calls' that existed before OSX.
Yeah, that's true. Hopefully that car sells well.
just not in the US.
That's unfortunate. It looks a bit small, though.
the software was able to accurately predict patients who would still be alive after a year around 80% of the time
WikiLeaks said it would agree to a US extradition request for the site's founder, Julian Assange
Seeing as how the US hasn't asked to extradite him, Sweden has, that seems improbable.
There's probably a level where it's hard to know if it's conscious or not, but so far we haven't even gotten close to that level.
Incidentally, if you could define consciousness, you'd probably be really close to creating it. I think it's more important to figure out how the human brain stores information, though.
Go AIs weren't expected to beat humans for another 10 years [wired.com] though - if that
They weren't expected to get that much computing power, either.
We specialize even more, just like we always have.
but the DeepMind/AlphaGo achievements are pretty astonishing IMHO.
I thought so too, but AlphaGo is mainly just a tree searching algorithm (which is why it takes so long to move, even with such huge CPU power). As you can see from this graph, Go AI was already on a trajectory to beat humans, as better and better hardware came along. The real breakthrough was employing a Monte-Carlo algorithm, which in that graph I linked to is at the inflection point.
Google managed to leapfrog the competition in Go computing by throwing a huge cluster at it. On a single CPU, alphago doesn't do nearly as well, and other computers are close in performance.
AI means what it's always meant to researchers since the 60s (outside of SciFi): software that solves problems that can't be solved in a straightforward procedural way. E.g., voice recognition and image recognition are "AI problems" that have largely been solved (still some ground to cover in machine vision, but the core work is there).
Note that what you are referring to is called weak AI, which is a term created because people realized they weren't making any progress on actually creating real (strong) AI.
And now it's a marketing term.
All I can find are a million articles citing the median income and saying the average (meaning mean) price of a car is too high.
Yeah me too.
Our Nobel Peace Prize President dropped 26,000 bombs (real bombs, not little hand grenades) last year on various brown people
Brown people? It sounds like you're saying our president is racist. Do you know who our president is?
It might be time to update your cliches.
This is a case where you probably want to look at the median, not the average.
Price is still an issue though. If there were a $15k Tesla (or other electric car) with a true range of 150 miles, that thing would be selling like crazy.
I don't understand people. I can't drive to the middle of a mountain range, and charge an electric car. There's no electric grid there. I can easily fill up on fuel wherever a fuel truck can drop some off
That's not a very common use case.
If it were, the mountains would be full of people.