GOO was already taken - it's a lisp dialect by Jonathan Bachrach of MIT. "GOO" is an acronym for "Generic Object Orientator."
Bachrach was one of the people working on Dylan, and people in language and compiler development circles (such as the creators of Google Go) would likely have known about his work (or at least know how to google "goo language" and discover that the name was already in use for a computer language).
Re:"Alice" one of the best learning languages toda
on
Land of Lisp
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· Score: 5, Informative
Common Lisp, which is what the book uses, has the first ANSI standard OO programming system, CLOS - short for the "Common Lisp Object System" - which includes multiple inheritance, generic functions, a meta-object protocol, and is in all essentials, a superset of the capabilities of the object systems of mainstream OO languages such as C++, Java, Smalltalk and Objective-C.
No one is advocating entering a time warp to the 1960s to use LISP 1.5 for the teaching of modern OO programming, least of all Conrad Barski, the author of Land of Lisp, which uses ANSI standard Common Lisp.
Re:metaprogramming FTW!
on
Land of Lisp
·
· Score: 0, Troll
Perhaps it speaks to management's desire to treat programmers like assembly line labor inputs - unskilled and easily replaceable. This approach will always lead to lower quality software, and/or project budget overruns and/or schedule slips, and/or outright project failures.
Programmers are not unskilled labor. Since management insists on treating them as such, management settles on tools that can be mastered by the least skilled programmers. Since that's what the market wants, most schools teach to that low-ball target (i.e., university education in computer science becomes mere java vocational training).
Those wise enough to understand that programmers are highly skilled labor know that they should get out of the way and let the experts choose their own tools. When that happens, such enlightened organizations will frequently choose languages other than C, C++, C#, and Java. They'll sometimes even use languages such as common lisp as ITA software does for its QPX system which powers most of the online travel search business, such as Orbitz, Bing Travel, many large arilines, etc. and which is why Google is trying to acquire ITA...
Seriously, they couldn't find a spot for a commodity 1.8" ssd (~ $550 for 256 GB on newegg)?
Not and keep it the thickness and weight it is with the battery life it has. By not going with an ssd enclosure they save a significant amount of space which allows for more than half of the total volume to be integrated batteries.
Half of all mac purchasers are current mac owners (steve said precisely this in the keynote today). This means that moving to an App Store only system will render the existing software, and probably a whole lot of the data that software generated, useless to half of all potential new mac buyers.
Apple are not going to piss off half of their potential buyers by requiring them to buy all new software and do massive data migration just because they buy a new mac.
This is not denial. It is simple economic common sense. Your paranoia is much like the oft repeated "insight" that apple should license Mac OS to other hardware vendors. The argument against both that old chestnut and the current claims that "t3h l0ckd0wn iz c0ming6!!!" is precisely the same: Apple is a for-profit corporation, and they aren't going to piss away half of future Mac sales simply to enforce software lockdown.
What Steve expects will happen is that users will choose to buy an iOS device instead. When he says that touch devices are the future and the PC is dead, he anticipates that most users will find that they can do what they need to do on an iPad or equivalent. Pro and power users will continue to buy full fledged UNIX Mac OS X devices, replete with the ability to install software any way they like. It's just that this portion of the overall market is going to shrink progressively going forward.
Like Steve said in an interview a while back: general purpose PCs are like trucks; trucks will always be with us; we need them to deliver goods, etc.; it's just that the overwhelming majority of people drive cars, not trucks. Steve expects that in the future, the overwhelming majority of users will use iOS devices, not general purpose PCs.
The user will take less time browsing apps than it does now by googling for mac stuff, surely.
These are in no way exclusive. You can have your app in the App Store, and also have a web presence that users will find by ordinary web searches. Your web presence will simply redirect users to the App Store.
Mac OS X recently turned 10 years old. The right click has been available in Mac OS X from the the beginning, so for a decade now. Not all Macs came with right mouse buttons, but you could always plug in a two (or more) button usb mouse and have it just work.
Mac laptops and desktops have shipped with right click capable mice and trackpads for quite a while now (e.g., on the MacBook Pro I'm typing this on, tapping the trackpad with two fingers instead of one yields a right-click; iMacs ship with an Apple Magic Mouse or trackpad, both of which work the same way - two finger tap = right click).
The total number of iPhones is a proper subset of the total number of iOS mobile devices, which also includes iPod Touches and iPads. So the figure is not impossible - it just means that nearly everyone who owns an iPhone, iPod Touch, or iPad uses the Facebook app.
Would not most of you agree that an entire person is described by the genetic data contained withing one stem cell? Or at least within one sperm cell and one egg cell?
No. That's the whole point. DNA encodes the protein ingredients needed to grow a person as well as their delivery schedule (i.e., when their manufacture is turned on and off). DNA does not encode how to assemble those proteins into a person. The assembly instructions are implicit in protein folding (unsolved), complex multi-protein interactions (unsolved), the behavior of an existing, fully functioning living cell (i.e., the egg, incompletely solved), the complex behavior of the thousands of different differentiated cell types as the person gestates (unsolved), and the environment (uterine, intercellular, etc., again, incompletely solved).
Trying to make a person from DNA is akin to building a functioning self assembling supercomputer given nothing but a Radio Shack invoice for transistors, and various low level electronic components; only a person is many orders of magnitude more complex than the most powerful existing supercomputer.
if you rtfa you'll see that the million lines of code only gives you the proteins that make up the brain - i.e., it gives you a parts list and a delivery schedule, not a set of assembly intstructions. The genome doesn't give you how the proteins interact, in usually complex ways (i.e., three or more proteins interacting simultaneously), in billions of cells in parallel, over the course of 9 months to give us an infant brain (even leaving aside the tremendous amount of development that takes place in the brain during childhood).
As the author of tfa writes: To simplify it so a computer science guy can get it, Kurzweil has everything completely wrong. The genome is not the program; it's the data.
IOW, the program is the developing organism itself, the complex protein interactions and it's (uterine) environment none of which are encoded in the genome. The organism uses the data encoded in the genome to produce proteins which interact with each other and the organism and its environment to grow cells which eventually form a brain.
The mistake in Kurzweil's thinking is the typical mistake engineers make when dealing with biology; the enviroments into which engineers place their designs do not typically spontaneously cooperate in the construction of the engineer's design. When an engineer designs a circuit board, his lab bench doesn't spontaneously start soldering connections and adding components for him and automatically complete parts of the design without his explicit instructions. But the organism does precisely this with proteins syntesised from the genome.
As a result, the genome alone cannot possibly tell you how to "make" an organism, because the genome only tells you the parts list and delivery schedule for the organism, not the assembly instructions. The assembly instructions are not explicit anywhere in the system; the assembly instructions are implicit in the combination of the complex behavior of the cells of the developing organism, the uterine environment and the very complex ways the proteins sythensized from the genome interact.
In order to extract the actuall assembly instructions we'd need a full blown molecular biology simulator that could correctly simulate: 1. protein folding (still unsolved) 2. comlex multi-protein interaction (still unsolved) 3. simultaneous behavior and development, (i.e., in parallel) of billions of living cells each undergoing trillions of chemical reactions per second (computationally prohibitive)
IOW, it's not going to happen in the next 10 years.
What I want to know is why so many people will quickly dismiss the writings of von Daniken as "crackpot" or whatever, but they never say anything about all the people who believe these religions.
Because Erik von Daniken's supporters don't number in the millions and carry guns.
They seem to agree on this, and think Flash is the way to go (see http://www.infoworld.com/print/125721). Either that is BS or this article is BS, they can't claim both. Everything they say could be said for Flash and vice-versa.
Sure they can have it both ways, just as long as it increases page hits on the infoworld website!
I think this is the first time I've heard someone as senior as [Redhat CEO] Whitehurst admit something rather profound: that open source solutions save money for customers by doing away with the fat margins for existing computer companies – and thus shrink the overall market.
Giving your work product away and hoping that someone will pay you for it ensures that you will make less money than people who demand fair pay for their work.
Perceived - i.e., how you felt about it, not what you knew about it. If your feelings contain any anxiety, it will show up as a possible lie - so heightened physiological arousal of any kind registers as a lie.
It is not a lie detector, it is a stress detector, but that sucks at distinguishing lies because many people feel stress when asked certain questions even when they answer them perfectly truthfully. Many people feel little or no stress when they tell giant whopper lies. So polygraphs are completely unreliable as lie detectors.
Not so. The control shaft only has to spin a set of planetary gears, while the output shaft has to drive the entire vehicle. Their torque requirements are orders of magnitude different.
All you'd need is strong enough brakes - if the power to the control shaft failed, the brakes would cause it to spin anyway because the output shaft would be effectively stopped by the brakes.
Of course once you release the brake the output shaft would jump immediately to highest speed...
Your Prius's CVT has limited torque because your CVT uses power transfer mechanisms other than toothed gears alone. The D-drive uses toothed gears only, not belts, not friction plates, etc. This allows for more torque than other CVT designs.
Slippage limits torque. the whole advantage of this system is that it allows infinitely variable output - from full speed reverse through neutral, to full speed forward, all with full torque limited only by the size of the toothed gears used. All power transmission in this device happens through toothed gears. There are no belts, friction plates, clutches, etc - all toothed gears and only toothed gears, with zero slippage, full torque, and infinitely variable output .
Learning is multi-sense. We recognize dogs as much from the sounds they make and their behavior as from pure visual appearance.
Attempts to do reductionist recognition (i.e., one sense at a time) are doomed to mediocrity. This system doesn't even categorize it's own training set - it has to be fed labelled (i.e., pre-categorized) images.
Slashdot Mirror
GOO was already taken - it's a lisp dialect by Jonathan Bachrach of MIT. "GOO" is an acronym for "Generic Object Orientator."
Bachrach was one of the people working on Dylan, and people in language and compiler development circles (such as the creators of Google Go) would likely have known about his work (or at least know how to google "goo language" and discover that the name was already in use for a computer language).
Planes fly from Hawaii to all over the US *every day*. Why is this the only time that one has gotten mistaken for a missile?
it isn't
Common Lisp, which is what the book uses, has the first ANSI standard OO programming system, CLOS - short for the "Common Lisp Object System" - which includes multiple inheritance, generic functions, a meta-object protocol, and is in all essentials, a superset of the capabilities of the object systems of mainstream OO languages such as C++, Java, Smalltalk and Objective-C.
No one is advocating entering a time warp to the 1960s to use LISP 1.5 for the teaching of modern OO programming, least of all Conrad Barski, the author of Land of Lisp, which uses ANSI standard Common Lisp.
Perhaps it speaks to management's desire to treat programmers like assembly line labor inputs - unskilled and easily replaceable. This approach will always lead to lower quality software, and/or project budget overruns and/or schedule slips, and/or outright project failures.
Programmers are not unskilled labor. Since management insists on treating them as such, management settles on tools that can be mastered by the least skilled programmers. Since that's what the market wants, most schools teach to that low-ball target (i.e., university education in computer science becomes mere java vocational training).
Those wise enough to understand that programmers are highly skilled labor know that they should get out of the way and let the experts choose their own tools. When that happens, such enlightened organizations will frequently choose languages other than C, C++, C#, and Java. They'll sometimes even use languages such as common lisp as ITA software does for its QPX system which powers most of the online travel search business, such as Orbitz, Bing Travel, many large arilines, etc. and which is why Google is trying to acquire ITA...
Seriously, they couldn't find a spot for a commodity 1.8" ssd (~ $550 for 256 GB on newegg)?
Not and keep it the thickness and weight it is with the battery life it has. By not going with an ssd enclosure they save a significant amount of space which allows for more than half of the total volume to be integrated batteries.
life within a prison, even if it is invisible to the prisoner, is absurd.
Life is absurd. No need to drag prison into it.
Half of all mac purchasers are current mac owners (steve said precisely this in the keynote today). This means that moving to an App Store only system will render the existing software, and probably a whole lot of the data that software generated, useless to half of all potential new mac buyers.
Apple are not going to piss off half of their potential buyers by requiring them to buy all new software and do massive data migration just because they buy a new mac.
This is not denial. It is simple economic common sense. Your paranoia is much like the oft repeated "insight" that apple should license Mac OS to other hardware vendors. The argument against both that old chestnut and the current claims that "t3h l0ckd0wn iz c0ming6!!!" is precisely the same: Apple is a for-profit corporation, and they aren't going to piss away half of future Mac sales simply to enforce software lockdown.
What Steve expects will happen is that users will choose to buy an iOS device instead. When he says that touch devices are the future and the PC is dead, he anticipates that most users will find that they can do what they need to do on an iPad or equivalent. Pro and power users will continue to buy full fledged UNIX Mac OS X devices, replete with the ability to install software any way they like. It's just that this portion of the overall market is going to shrink progressively going forward.
Like Steve said in an interview a while back: general purpose PCs are like trucks; trucks will always be with us; we need them to deliver goods, etc.; it's just that the overwhelming majority of people drive cars, not trucks. Steve expects that in the future, the overwhelming majority of users will use iOS devices, not general purpose PCs.
iOS is not a registered UNIX product
(unlike Mac OS X 10.5 and 10.6).
The user will take less time browsing apps than it does now by googling for mac stuff, surely.
These are in no way exclusive. You can have your app in the App Store, and also have a web presence that users will find by ordinary web searches. Your web presence will simply redirect users to the App Store.
Mac OS X recently turned 10 years old. The right click has been available in Mac OS X from the the beginning, so for a decade now. Not all Macs came with right mouse buttons, but you could always plug in a two (or more) button usb mouse and have it just work.
Mac laptops and desktops have shipped with right click capable mice and trackpads for quite a while now (e.g., on the MacBook Pro I'm typing this on, tapping the trackpad with two fingers instead of one yields a right-click; iMacs ship with an Apple Magic Mouse or trackpad, both of which work the same way - two finger tap = right click).
The total number of iPhones is a proper subset of the total number of iOS mobile devices, which also includes iPod Touches and iPads. So the figure is not impossible - it just means that nearly everyone who owns an iPhone, iPod Touch, or iPad uses the Facebook app.
Would not most of you agree that an entire person is described by the genetic data contained withing one stem cell? Or at least within one sperm cell and one egg cell?
No. That's the whole point. DNA encodes the protein ingredients needed to grow a person as well as their delivery schedule (i.e., when their manufacture is turned on and off). DNA does not encode how to assemble those proteins into a person. The assembly instructions are implicit in protein folding (unsolved), complex multi-protein interactions (unsolved), the behavior of an existing, fully functioning living cell (i.e., the egg, incompletely solved), the complex behavior of the thousands of different differentiated cell types as the person gestates (unsolved), and the environment (uterine, intercellular, etc., again, incompletely solved).
Trying to make a person from DNA is akin to building a functioning self assembling supercomputer given nothing but a Radio Shack invoice for transistors, and various low level electronic components; only a person is many orders of magnitude more complex than the most powerful existing supercomputer.
if you rtfa you'll see that the million lines of code only gives you the proteins that make up the brain - i.e., it gives you a parts list and a delivery schedule, not a set of assembly intstructions. The genome doesn't give you how the proteins interact, in usually complex ways (i.e., three or more proteins interacting simultaneously), in billions of cells in parallel, over the course of 9 months to give us an infant brain (even leaving aside the tremendous amount of development that takes place in the brain during childhood).
As the author of tfa writes: To simplify it so a computer science guy can get it, Kurzweil has everything completely wrong. The genome is not the program; it's the data.
IOW, the program is the developing organism itself, the complex protein interactions and it's (uterine) environment none of which are encoded in the genome. The organism uses the data encoded in the genome to produce proteins which interact with each other and the organism and its environment to grow cells which eventually form a brain.
The mistake in Kurzweil's thinking is the typical mistake engineers make when dealing with biology; the enviroments into which engineers place their designs do not typically spontaneously cooperate in the construction of the engineer's design. When an engineer designs a circuit board, his lab bench doesn't spontaneously start soldering connections and adding components for him and automatically complete parts of the design
without his explicit instructions. But the organism does precisely this with proteins syntesised from the genome.
As a result, the genome alone cannot possibly tell you how to "make" an organism, because the genome only tells you the parts list and delivery schedule for the organism, not the assembly instructions. The assembly instructions are not explicit anywhere in the system; the assembly instructions are implicit in the combination of the complex behavior of the cells of the developing organism, the uterine environment and the very complex ways the proteins sythensized from the genome interact.
In order to extract the actuall assembly instructions we'd need a full blown molecular biology simulator that could correctly simulate:
1. protein folding (still unsolved)
2. comlex multi-protein interaction (still unsolved)
3. simultaneous behavior and development, (i.e., in parallel) of billions of living cells each undergoing trillions of chemical reactions per second (computationally prohibitive)
IOW, it's not going to happen in the next 10 years.
Wilhelm Richard Wagner was born in 1813 and died in 1883 which makes him a 19th Century German composer, not an 18th c. German composer.
Remember, here in 2010 it's the 21st century; in 1910 it was the 20th c.; in 1810 it was the 19th c., etc.
Only post to this article that should be modded +5 informative, and it's scored +1.
Please mod parent up!
What I want to know is why so many people will quickly dismiss the writings of von Daniken as "crackpot" or whatever, but they never say anything about all the people who believe these religions.
Because Erik von Daniken's supporters don't number in the millions and carry guns.
They seem to agree on this, and think Flash is the way to go (see http://www.infoworld.com/print/125721). Either that is BS or this article is BS, they can't claim both. Everything they say could be said for Flash and vice-versa.
Sure they can have it both ways, just as long as it increases page hits on the infoworld website!
I think this is the first time I've heard someone as senior as [Redhat CEO] Whitehurst admit something rather profound: that open source solutions save money for customers by doing away with the fat margins for existing computer companies – and thus shrink the overall market.
Giving your work product away and hoping that someone will pay you for it ensures that you will make less money than people who demand fair pay for their work.
Perceived - i.e., how you felt about it, not what you knew about it. If your feelings contain any anxiety, it will show up as a possible lie - so heightened physiological arousal of any kind registers as a lie.
It is not a lie detector, it is a stress detector, but that sucks at distinguishing lies because many people feel stress when asked certain questions even when they answer them perfectly truthfully. Many people feel little or no stress when they tell giant whopper lies. So polygraphs are completely unreliable as lie detectors.
Not so. The control shaft only has to spin a set of planetary gears, while the output shaft has to drive the entire vehicle. Their torque requirements are orders of magnitude different.
All you'd need is strong enough brakes - if the power to the control shaft failed, the brakes would cause it to spin anyway because the output shaft would be effectively stopped by the brakes.
Of course once you release the brake the output shaft would jump immediately to highest speed...
At that point, I'd just shut the engine ;^)
Your Prius's CVT has limited torque because your CVT uses power transfer mechanisms other than toothed gears alone. The D-drive uses toothed gears only, not belts, not friction plates, etc. This allows for more torque than other CVT designs.
Slippage limits torque. the whole advantage of this system is that it allows infinitely variable output - from full speed reverse through neutral, to full speed forward, all with full torque limited only by the size of the toothed gears used. All power transmission in this device happens through toothed gears. There are no belts, friction plates, clutches, etc - all toothed gears and only toothed gears, with zero slippage, full torque, and infinitely variable output .
watch the video half way down TFA- it shows in pretty fair detail how the d-drive transmission works.
Learning is multi-sense. We recognize dogs as much from the sounds they make and their behavior as from pure visual appearance.
Attempts to do reductionist recognition (i.e., one sense at a time) are doomed to mediocrity. This system doesn't even categorize it's own training set - it has to be fed labelled (i.e., pre-categorized) images.