One upon a time they did that with USB. We had the same argument about ADB/Printer/Modem port being combined. Everyone whined. And look how that turned out. Proprietary USB never took off and everyone loves their PS/2 mice and Parallel port printers.
Wow. Android Fanboy much? Apple puts considerable time into their software development and it comes across polished. While I'm fine installing Cyanogenmod to get rid of carrier shit most people aren't. They use their iPhones and their Macs and they Just Work.
people are beginning to see that they aren't that great after all.
I wish I had Apple stock for every time I've heard this for the last 2 decades.
Invariably you'll get the slashdotters whining that N+1 is only an incremental improvement over N without looking at the fact that some people are still on N-5. Skylake may not be the end all be all but if you're coming from Core or Nehalem it's a noticeable improvement.
New owners, you should know by now this isn't the stuff Slashdot is made of. At the minimum tack it on to the actual release story.
And those were great 19th & 20th century trades. The 21st century trades are IT, networking, programmers, etc. Part of what makes it hard to get modern trades started is people like most Slashdotters that insist programming requires a 4 year degree.
facebook and engineering aren't something I'd put into a sentence together.
And how do you think they got to handle the amount of data they did? The same comments rolled in when Walmart released its cloud service. Of course they have an engineering department.
Facebook engineers are working on a scale that most people will never see.
What's this World coming to when twitterbook has to be protected from natural disasters.
A ubiquitous service that most people have access to is one that speeds up disaster recovery. People have already used groups to organize disaster recovery efforts on small and large scales.
No one says you have to use it to upload food selfies.
There's always something. Just like there always has been. I could train a 16 year old to do 80% of my job. It doesn't mean I'd be out of a job it means I'd get to work on the other 20%.
We survived combines and tractors in the field, we survived having to dig coal and minerals by hand we'll survive something automating TPS reports.
Highway fatality statistics for humans are much, much worse than those of computers.
Just as an example, how many accidents happen on the highway just because a human tried to pass another vehicle and misjudged the distance they had
Exactly. A computer would know exactly how far another vehicle was. It would know in less than a second how fast it was going, has calculated how long it will take to pass, knows the vehicle weight and exactly how fast it can accelerate. Before a human would be through questioning if they should pass the computer would have already made a better decision.
Why do you continually bring up Tesla? They're the last ones to the game and focused on highway first. The real players in the game have been doing off road testing for a *decade*. Caterpillar, Oshkosh, Volvo, Kumatsu, etc.
Your stance would make sense if anyone has made this stuff work.
They have. Just because you don't know they have doesn't mean it doesn't exist.
apparently
You know this from analyzing the Tesla data? You've run the data analytics? Tesla is a very new company to this game as well and rushed to be the firsh to market.
> You can't calculate when deer are going to show up
Um, you can do exactly that. It's what actuaries for insurance companies do for a living. How often a person collides with a deer is something that is both measurable and calculable
> An automated car will have to have some sort of long range heat sensor for deer and other wildlife, good to 100ft or so.
Uh, ok. FLIR has existed for years. It's cheap enough now they're putting it in cell phones.
> Unless you want the car to drive slowly forever more just because deer are prevalent at that time.
Why would it do that? Humans don't.
> Can current LIDAR even tell the difference between a bag blowing in the wind and a rock of the same size being dropped from a bridge?
Can a human at 80 MPH? How does it do it with just an optical sensor?
The FLIR camera will show a thermodynamic difference. The LIDAR will detect a moving object. The object tracking computer will know that the rock is falling at 9.8 m/s^2 and the bag isn't. The LIDAR will know the position of every car in both lanes and behind it, at the same time. It'll know it should swerve right instead of left without having to check the mirrors or remembering if something was in that lane. It'll know that the rock will intersect the road in.5s and that it is exactly 4m from the intersection point and that braking will just result in a rock in the windshield.
> Will it detect a person on that bridge that might drop a rock?
Again. How does a human detect it? With 2 optical sensors that detect on a limited portion of the EM spectrum.
The technology exists today in cell phones to detect a face. Neural nets can do live object tracking on embedded systems with no problems.
Are you even trying to come up with legitimate problems with self driving cars at this point? You've brought up nothing that is even a real issue. Everything has been stuff that is not only already solved but done so on a level that humans will never be able to compete.
You have all of 6 senses, most of which are useless in helping someone drive. Sound and smell may help you diagnose car trouble but it's not going to help you see a person on a bridge going to drop a rock.
Controllers have been in vehicles for years. An ECM from the 80s can keep a car idling far better than you ever could manually trying to close the loop on engine speed, why do you assume it's any different for any other sort of controller?
> A bunch of well known calculations stacked up on top of one another billions of times.
What exactly do you think "anticipating events" is?
Do you think a auto driving car is going to 'forget' how it is to drive on snow and ice every fall? Is an auto driving car going to 'forget' that deer are more active during a certain time of year and not anticpate them?
It doesn't need to 'anticipate' an event because it's already calculated all outcomes and chooses the best which is what it does in Go.
You're right. I concede. You heard it here companies working on autonomous vehicles, fluffemutter said that it can't be done. Might as well give up your R&D departments now.
And how did it get there? Sounds like the feedback controller manipulating the actuators was tuned wrong, didn't have the right sample rate or had a bad sensor (perhaps it was checking a text message).
I grew up here. I've driven on them a lot. I've also regained control during a "uncontrollable" condition.
And it only got into that uncontrollable position because I screwed up at a previous step. Over corrected a steer, blipped the accelerator too hard. A finely tuned feed back controller would have done a much better job than I did.
Cars have been racing each other on and off track in conditions worse than most roads at speeds your average driver would never be able to manage on the same course.
Other than the fact that companies had prototypes back in 2004. And they've come a long way in 10 years. Another 10 years now that it's near commercialized and out of research think tanks and by 2024 there are going to be multiple on the road offered by multiple companies.
What computer has the technology not to use punch cards? IBMs? A lot of people talk about "compilers" and "programmers writing their own code" and then list technology that no company has made work in a car ever. The fact that punch cards are easy to use and we already have operators trained to use them means there exists a company to make it commercially viable and reliable enough to ever let a programmer type Fortran.
Additionally, how do you know what autonomous cars can an can't do? Are you relying on press releases? What they show off to the public? I've seen stuff, in production, that no one ever really talks about on niche products that may see 100 uses world wide. Is there room for improvement? Absolutely, but that goes for old and new tech alike.
Look at the corporate logos on the 2004 DARPA vehicles. Do you think all of those companies said "Well, we wasted our money here, lets go home"? A lot of those companies have been developing the tech for worse environments than Michigan Roads (which is saying a lot given how our roads look).
Do you think they gave money to a bunch of grad students out of the kindness of their hearts? Start cross referencing who was on Carnegie Mellon's Red Team and patents held by Alcoa, BF Goodrich, Caterpillar, Yamaha, TerraSim, Trimble, Kubota, and M7 Visual Intelligence.
Slashdot Mirror
One upon a time they did that with USB. We had the same argument about ADB/Printer/Modem port being combined. Everyone whined. And look how that turned out. Proprietary USB never took off and everyone loves their PS/2 mice and Parallel port printers.
Wow. Android Fanboy much? Apple puts considerable time into their software development and it comes across polished. While I'm fine installing Cyanogenmod to get rid of carrier shit most people aren't. They use their iPhones and their Macs and they Just Work.
people are beginning to see that they aren't that great after all.
I wish I had Apple stock for every time I've heard this for the last 2 decades.
And just like with that line I look forward to looking back on these comments for the next 15 years.
Apple, Ford, Android, Dell, Intel, et al.
Invariably you'll get the slashdotters whining that N+1 is only an incremental improvement over N without looking at the fact that some people are still on N-5. Skylake may not be the end all be all but if you're coming from Core or Nehalem it's a noticeable improvement.
New owners, you should know by now this isn't the stuff Slashdot is made of. At the minimum tack it on to the actual release story.
Dumb? Anytime pissing contests lead to better tools I count it as a win.
So this attack is rendered useless if you don't link against libc?
I need to do this.the next time I travel to Chicago. Ammo is cheap and plentiful around here. "Wanted, new car, have case of ammo".
skilled trades, welders, machinists, etc
And those were great 19th & 20th century trades. The 21st century trades are IT, networking, programmers, etc. Part of what makes it hard to get modern trades started is people like most Slashdotters that insist programming requires a 4 year degree.
facebook and engineering aren't something I'd put into a sentence together.
And how do you think they got to handle the amount of data they did? The same comments rolled in when Walmart released its cloud service. Of course they have an engineering department.
Facebook engineers are working on a scale that most people will never see.
What's this World coming to when twitterbook has to be protected from natural disasters.
A ubiquitous service that most people have access to is one that speeds up disaster recovery. People have already used groups to organize disaster recovery efforts on small and large scales.
No one says you have to use it to upload food selfies.
There's always something. Just like there always has been. I could train a 16 year old to do 80% of my job. It doesn't mean I'd be out of a job it means I'd get to work on the other 20%.
We survived combines and tractors in the field, we survived having to dig coal and minerals by hand we'll survive something automating TPS reports.
As it always has been. As it always will be.
Or are we lamenting over the fact that accountants don't have to add by hand anymore as well?
We need a new FuckedCompany for this bubble. That was always some good reading.
Audi: https://www.youtube.com/watch?...
Georgia Tech: http://www.popsci.com/georgia-...
Oshkosh: https://oshkoshdefense.com/tec...
Highway fatality statistics for humans are much, much worse than those of computers.
Just as an example, how many accidents happen on the highway just because a human tried to pass another vehicle and misjudged the distance they had
Exactly. A computer would know exactly how far another vehicle was. It would know in less than a second how fast it was going, has calculated how long it will take to pass, knows the vehicle weight and exactly how fast it can accelerate. Before a human would be through questioning if they should pass the computer would have already made a better decision.
Why do you continually bring up Tesla? They're the last ones to the game and focused on highway first. The real players in the game have been doing off road testing for a *decade*. Caterpillar, Oshkosh, Volvo, Kumatsu, etc.
Your stance would make sense if anyone has made this stuff work.
They have. Just because you don't know they have doesn't mean it doesn't exist.
apparently
You know this from analyzing the Tesla data? You've run the data analytics? Tesla is a very new company to this game as well and rushed to be the firsh to market.
Especially at a consumer level.
What ever you want to believe.
> You can't calculate when deer are going to show up
Um, you can do exactly that. It's what actuaries for insurance companies do for a living. How often a person collides with a deer is something that is both measurable and calculable
> An automated car will have to have some sort of long range heat sensor for deer and other wildlife, good to 100ft or so.
Uh, ok. FLIR has existed for years. It's cheap enough now they're putting it in cell phones.
> Unless you want the car to drive slowly forever more just because deer are prevalent at that time.
Why would it do that? Humans don't.
> Can current LIDAR even tell the difference between a bag blowing in the wind and a rock of the same size being dropped from a bridge?
Can a human at 80 MPH? How does it do it with just an optical sensor?
The FLIR camera will show a thermodynamic difference. The LIDAR will detect a moving object. The object tracking computer will know that the rock is falling at 9.8 m/s^2 and the bag isn't. The LIDAR will know the position of every car in both lanes and behind it, at the same time. It'll know it should swerve right instead of left without having to check the mirrors or remembering if something was in that lane. It'll know that the rock will intersect the road in .5s and that it is exactly 4m from the intersection point and that braking will just result in a rock in the windshield.
> Will it detect a person on that bridge that might drop a rock?
Again. How does a human detect it? With 2 optical sensors that detect on a limited portion of the EM spectrum.
The technology exists today in cell phones to detect a face. Neural nets can do live object tracking on embedded systems with no problems.
Are you even trying to come up with legitimate problems with self driving cars at this point? You've brought up nothing that is even a real issue. Everything has been stuff that is not only already solved but done so on a level that humans will never be able to compete.
You have all of 6 senses, most of which are useless in helping someone drive. Sound and smell may help you diagnose car trouble but it's not going to help you see a person on a bridge going to drop a rock.
Controllers have been in vehicles for years. An ECM from the 80s can keep a car idling far better than you ever could manually trying to close the loop on engine speed, why do you assume it's any different for any other sort of controller?
> A bunch of well known calculations stacked up on top of one another billions of times.
What exactly do you think "anticipating events" is?
Do you think a auto driving car is going to 'forget' how it is to drive on snow and ice every fall? Is an auto driving car going to 'forget' that deer are more active during a certain time of year and not anticpate them?
It doesn't need to 'anticipate' an event because it's already calculated all outcomes and chooses the best which is what it does in Go.
Why not both? Split the sport into 2.
Humans racing in Group B.
Robots racing in the "battle bots" series. Screw the 110 kg (~250 lb) weight limit on battle bots. I want robotic warfare on a racetrack sized arena.
Do any of the roads you're talking about have track conditions like this?
You're right. I concede. You heard it here companies working on autonomous vehicles, fluffemutter said that it can't be done. Might as well give up your R&D departments now.
And how did it get there? Sounds like the feedback controller manipulating the actuators was tuned wrong, didn't have the right sample rate or had a bad sensor (perhaps it was checking a text message).
I grew up here. I've driven on them a lot. I've also regained control during a "uncontrollable" condition.
And it only got into that uncontrollable position because I screwed up at a previous step. Over corrected a steer, blipped the accelerator too hard. A finely tuned feed back controller would have done a much better job than I did.
Cars have been racing each other on and off track in conditions worse than most roads at speeds your average driver would never be able to manage on the same course.
Other than the fact that companies had prototypes back in 2004. And they've come a long way in 10 years. Another 10 years now that it's near commercialized and out of research think tanks and by 2024 there are going to be multiple on the road offered by multiple companies.
Because a human has a model of the shape of the road? How does the human get into the ruts? Magic?
Why is the sideways slide 'uncontrollable'? Because *you* can't control it?
What computer has the technology not to use punch cards? IBMs? A lot of people talk about "compilers" and "programmers writing their own code" and then list technology that no company has made work in a car ever. The fact that punch cards are easy to use and we already have operators trained to use them means there exists a company to make it commercially viable and reliable enough to ever let a programmer type Fortran.
Additionally, how do you know what autonomous cars can an can't do? Are you relying on press releases? What they show off to the public? I've seen stuff, in production, that no one ever really talks about on niche products that may see 100 uses world wide. Is there room for improvement? Absolutely, but that goes for old and new tech alike.
Look at the corporate logos on the 2004 DARPA vehicles. Do you think all of those companies said "Well, we wasted our money here, lets go home"? A lot of those companies have been developing the tech for worse environments than Michigan Roads (which is saying a lot given how our roads look).
Do you think they gave money to a bunch of grad students out of the kindness of their hearts? Start cross referencing who was on Carnegie Mellon's Red Team and patents held by Alcoa, BF Goodrich, Caterpillar, Yamaha, TerraSim, Trimble, Kubota, and M7 Visual Intelligence.
Google's very late to the game.