Actually if you look closely enough and really know the issues involved, you'll find that *all of journalism* is like that.
NYT headline, Washington Post op-ed pieces, etc. They are all biased and they all push an agenda, albeit a little more subtly. It turns out that you think you know your stuff in the IT world and you know the Slashdot bias and so you can detect it easily.
In the book she finds a pattern in Pi (the number) that proves intelligent design of the Universe.
That bit killed the book for me. Pi is a universal number, it contains all the patterns that you want. Moreover God could not change the value of Pi even if He wanted to. (let Pi be three. Right).
Re:For ATI developers: Linux support of R200 Model
on
ATi Radeon 9800 Pro
·
· Score: 1
Yes but how fast does it really go?
Hardware TCL is the equivalent to DX7. How about some DX8 features now that 9 is out?
In math, a linear relation is one that commutes with multiplication, i.e. of the form y = a.x - In the example of the parent, x is the number of processors and y the performance. In that example a = 1.
Your example would give a relation y = a.x + b, where x and y are as above, but with a = 0.01 and b = 1. This is called an affine relation -- which is the simplest non-linear one.
You seem to imply that the parent post proved your point by in fact explaining to you in layman term what it is that he is doing. He hasn't, read his reply again. He hasn't proved either that he does not understand what he is doing, so the comment of your first paragraph is incorrect.
It is quite possible to work in a field, make contributions and still not `understand' the field perfectly in the sense that you mean (being able to explain it to lay people) - people working in quantum mechanics would have very great difficulty in explaining to anybody what an electron *really* is, because no one knows for sure.
Einstein famously remarked that he `understood' his own stuff on general relativity in "rare moments of exceptional clarity" yet no one disputes he didn't know what he was talking about.
All this to just say that your criteria about what constitues `truly knowing' is a little bit naive IMHO.
Sorry, the Gnu Compiler Collection works very well at what it was designed to do, which is to be a *portable* collection.
Now the ANSI/ISO support is one of the best, and the speed is not bad, even on ia32 compared with the state-of-the-art Intel compiler (which at best under realistic circumstances is only 5-15% faster).
Yes I know about inequality in the US. Apparently the 30,000 most wealthy families there earn as much as the 20% poorest people. There are families whose income is over $17 millions a year. Staggering.
Oh yes I love the innovations of the last 20 years in car manufacturing:
- the sealed engine block, - computers everywhere inside, just great, how easy they are to tune now. Wait, they don't need to be tuned, right? - the 6-litres engines in SUVs, love them. The noise, the pollution, the mileage. Not to mention the great view from behind the whole behemoth. - the nice soft bumper bars that need replacement if a tennis ball thrown by a 2-year old bounces into them. - the great headlight optics at $500 a pop (which also break if a bee flies into them) - The false sense of security given by ABS. Now everyone can go faster and be sure to brake on time! - The great air bag safety measure. Now even less reason to put on your seat belt. - For some reason newer cars seem to have a very poor air inflow system, so that as soon as temperature reach 25C/78F you *have* to turn on the air-con otherwise you broil.
I could go on. The fact is the Automotive industry is very conservative and that changes for the better have been evenly matched with changes for the worst. I remember reading that in America the average mpg rating hit an all-time high in 1988 or so, and has been steadily declining since (especially since SUV are so popular and must only meet a lower mpg standard). Sorry that can't be progress.
don't you think that AI as a research field has tremendously reduced its ambitions?
You write:
> the goal of AI is not to build cute robot friends > for the human race,
Well, no, the goal of AI was to build an artificial intelligence the equal or better of the human one. An intelligence that could tackle the hardest intellectual problems from the ground up: propose new physics theories, find a proof of the Riemann Hypothesis, solve the world's economic problems, understand and translate natural languages accurately.
AI has totally given up on these and has no clue where to start. Why is that?
I agree that the broad field of AI has made progress in bottom-up applications (problem with tight constraints), but this is not original AI. So the problem remains: what is intelligence, why is is that we can't reproduce it in any meaningful way and why is it that the best we can do is to solve little constrained problems with brute force approaches?
Where is the proof that achieving human-like intelligence is a pipe dream? Maybe conventional computers can't do it, but maybe quantum computers will, who knows? Why give up on the quest?
Don't use Mathematica, unless you want to actively sponsor stupendously annoying genius boy Wolfram to convice everybody he is the re-incarnation of Euclid, Newton and Einstein all in the one body.
Do what every good free software person does: use Emacs for everything, in this case symbolic or numerical math.
Maybe, unlike his former parter, Allen wants to play by the book?
Your comment highlights one of the key US mentality characteristic in a nutshell: life is not about playing, it's about winning.
Allen fell quite seriously ill shortly before he left Microsoft and nearly died. Apparently this has changed his perspective. Maybe Allen enjoys the competition and not the end result?
> NP-Complete is solvable in NP, but it cannot be > proven whether the problem is verifiable in P or not
I thought:
P is the class of problems that can be solved in polynomial time.
NP doesn't mean Non-Polynomial, it means Non-deterministic Polynomial. This refers to problems where if you could get a `computer' who could *guess* the solution (in a non-deterministic way) then you could *verify* that the solution is correct in polynomial time.
NP-Complete is a class of problems all equivalent to one another. If you can find a solution in P for one it would work for all the others.
Now the big open question is: is P==NP? It hasn't been proven either way, but AFAIK, it hasn't been proven either that the solution is unknowable, which you seem to imply.
Your legs can carry you around at 3 mph all day. Most normal persons even working in an office walk more than 5 miles a day (a little at a time).
The 12 mph is nice if the terrain is flat.
Face it, the Segway is a neat toy and they should market it as such. I thought there were lots of rich people who already had everything in the US. The Segway should still make a killing.
Slashdot Mirror
Actually if you look closely enough and really know the issues involved, you'll find that *all of journalism* is like that.
NYT headline, Washington Post op-ed pieces, etc. They are all biased and they all push an agenda, albeit a little more subtly. It turns out that you think you know your stuff in the IT world and you know the Slashdot bias and so you can detect it easily.
In the book she finds a pattern in Pi (the number) that proves intelligent design of the Universe.
That bit killed the book for me. Pi is a universal number, it contains all the patterns that you want. Moreover God could not change the value of Pi even if He wanted to. (let Pi be three. Right).
Yes but how fast does it really go?
Hardware TCL is the equivalent to DX7. How about some DX8 features now that 9 is out?
> Great, so where are the games?
http://www.linuxgames.com/
http://www.transgaming.com/
Take your pick.
`linear' is the correct term here.
In math, a linear relation is one that commutes with multiplication, i.e. of the form y = a.x - In the example of the parent, x is the number of processors and y the performance. In that example a = 1.
Your example would give a relation y = a.x + b, where x and y are as above, but with a = 0.01 and b = 1. This is called an affine relation -- which is the simplest non-linear one.
Hello,
You seem to imply that the parent post proved your point by in fact explaining to you in layman term what it is that he is doing. He hasn't, read his reply again. He hasn't proved either that he does not understand what he is doing, so the comment of your first paragraph is incorrect.
It is quite possible to work in a field, make contributions and still not `understand' the field perfectly in the sense that you mean (being able to explain it to lay people) - people working in quantum mechanics would have very great difficulty in explaining to anybody what an electron *really* is, because no one knows for sure.
Einstein famously remarked that he `understood' his own stuff on general relativity in "rare moments of exceptional clarity" yet no one disputes he didn't know what he was talking about.
All this to just say that your criteria about what constitues `truly knowing' is a little bit naive IMHO.
Publication in ArXiv doesn't count,
The paper needs to be submitted to a major Maths journal, peer reviewed, accepted, published and must remain unchallenged after this for 2 years.
No risk that these guys will collect the price in 6 months time.
Sorry, the Gnu Compiler Collection works very well at what it was designed to do, which is to be a *portable* collection.
Now the ANSI/ISO support is one of the best, and the speed is not bad, even on ia32 compared with the state-of-the-art Intel compiler (which at best under realistic circumstances is only 5-15% faster).
The rest of your comments are more on track.
Hello,
Yes I know about inequality in the US. Apparently the 30,000 most wealthy families there earn as much as the 20% poorest people. There are families whose income is over $17 millions a year. Staggering.
Still Segway should be able to find a market.
Hi,
There is a manual for the Emacs calc mode with a little tutorial, but I don't find the manual very good. You have to experiment.
Calc started as a hack but it's really useful.
Hello AC,
FYI, Linux also works on non-Intel hardware. Try the Intel compiler on Alphas for a laugh.
Oh yes I love the innovations of the last 20 years in car manufacturing:
- the sealed engine block,
- computers everywhere inside, just great, how easy they are to tune now. Wait, they don't need to be tuned, right?
- the 6-litres engines in SUVs, love them. The noise, the pollution, the mileage. Not to mention the great view from behind the whole behemoth.
- the nice soft bumper bars that need replacement if a tennis ball thrown by a 2-year old bounces into them.
- the great headlight optics at $500 a pop (which also break if a bee flies into them)
- The false sense of security given by ABS. Now everyone can go faster and be sure to brake on time!
- The great air bag safety measure. Now even less reason to put on your seat belt.
- For some reason newer cars seem to have a very poor air inflow system, so that as soon as temperature reach 25C/78F you *have* to turn on the air-con otherwise you broil.
I could go on. The fact is the Automotive industry is very conservative and that changes for the better have been evenly matched with changes for the worst. I remember reading that in America the average mpg rating hit an all-time high in 1988 or so, and has been steadily declining since (especially since SUV are so popular and must only meet a lower mpg standard). Sorry that can't be progress.
Once the PCs become the mainframe, what niche is left for Unix then?
DSL is a disaster area in Australia, at least in Sydney where I live. You'll want to check cable prices when you get there.
Science fiction or otherwise.
Hello, thanks for that.
don't you think that AI as a research field has tremendously reduced its ambitions?
You write:
> the goal of AI is not to build cute robot friends
> for the human race,
Well, no, the goal of AI was to build an artificial intelligence the equal or better of the human one. An intelligence that could tackle the hardest intellectual problems from the ground up: propose new physics theories, find a proof of the Riemann Hypothesis, solve the world's economic problems, understand and translate natural languages accurately.
AI has totally given up on these and has no clue where to start. Why is that?
I agree that the broad field of AI has made progress in bottom-up applications (problem with tight constraints), but this is not original AI. So the problem remains: what is intelligence, why is is that we can't reproduce it in any meaningful way and why is it that the best we can do is to solve little constrained problems with brute force approaches?
Where is the proof that achieving human-like intelligence is a pipe dream? Maybe conventional computers can't do it, but maybe quantum computers will, who knows? Why give up on the quest?
Don't use Mathematica, unless you want to actively sponsor stupendously annoying genius boy Wolfram to convice everybody he is the re-incarnation of Euclid, Newton and Einstein all in the one body.
Do what every good free software person does: use Emacs for everything, in this case symbolic or numerical math.
Try this:
M-x calc
(now you are in command of an RPN calculator)
M-x describe-mode
(for some very basic help)
m s
(now you are in symbolic mode)
(x+1) RETURN
Q
(i.e: shift+q)
result is:
1: sqrt(x + 1)
you just have defined the function x -> sqrt(X+1)
now type:
a i
Emacs asks you the integration variable, answer
x
result is:
2:3 (x + 1)^3:2
Type d B to get a nicer display:
2
- (x + 1)^(3/2)
3
Which is the primitive of sqrt(1+x).
Nice uh?
Maybe, unlike his former parter, Allen wants to play by the book?
Your comment highlights one of the key US mentality characteristic in a nutshell: life is not about playing, it's about winning.
Allen fell quite seriously ill shortly before he left Microsoft and nearly died. Apparently this has changed his perspective. Maybe Allen enjoys the competition and not the end result?
And the spelling...
From: Australia Rules and regulations
Vehicles up to 30 years old including Forward Control Vehicles:
15% Duty + 10% Gst
4WD 'Off Road' Vehicles & Commercial Vehicles:
5% Duty + 10% Gst
Hi, I'm confused,
> NP-Complete is solvable in NP, but it cannot be
> proven whether the problem is verifiable in P or not
I thought:
P is the class of problems that can be solved in polynomial time.
NP doesn't mean Non-Polynomial, it means Non-deterministic Polynomial. This refers to problems where if you could get a `computer' who could *guess* the solution (in a non-deterministic way) then you could *verify* that the solution is correct in polynomial time.
NP-Complete is a class of problems all equivalent to one another. If you can find a solution in P for one it would work for all the others.
Now the big open question is: is P==NP? It hasn't been proven either way, but AFAIK, it hasn't been proven either that the solution is unknowable, which you seem to imply.
Are we talking about the same thing? Thanks.
Right, and you would be compiling the kernel with Microsoft Visual C++?
There is no replacement for gcc, even the Intel compiler is not up to the task, and if it were on x86, that wouldn't work on Alpha, Sparc, s390, etc.
GNU is integral to Linux. Without GNU, no Linux, at all. Moreover it's not about ego, it's about freedom, read the FAQ.
Your legs can carry you around at 3 mph all day. Most normal persons even working in an office walk more than 5 miles a day (a little at a time).
The 12 mph is nice if the terrain is flat.
Face it, the Segway is a neat toy and they should market it as such. I thought there were lots of rich people who already had everything in the US. The Segway should still make a killing.
If you are a terrorist from an islamic group:
- don't pay with a credit card
- order the normal meal (don't eat the pork)
That sound too simplistic
Each instance is a new virtual CPU. You need a licence for each one.