But would it be cost effective in a 98% adoption kind of way? Are almost all people going to stop buying a $5000 used car and drop $40 K on a Google car that might be dangerous in bad weather? Total adoption is required for safety gains.
To my knowledge Google cars have only been driven in near perfect conditions. Ie no blizzards or blowing snow or ice of any kind. Also the technology on Google cars is way more unaffordable than a Tesla.
When a human gets in an accident, most start driving a bit slower and more carefully, thus increasing their overall safety. With Al, the accident will get fixed specifically on a left turn, but then happen on a right turn. It will take a long time to work through all the possibilities because even though they are called AI, there is no adaptation.
How can you be so confident that the sensors are right when it isn't even close to autonomous yet? What sensor will differentiate between a floating shopping bag and a flying rock?
It has to be perfectly safe. Autonomous cars are removing a person's individual choices about how they choose to drive safely, so they have to. There is no way around it. There are plenty of drivers out there who figured out how to drive safely, so you can't add to their risk because they chose your particular driving product.to drive safely, so you can't add to their risk because they chose your particular driving product.
Doesn't really matter if it is double or not.. how many families do you think there are that can afford an extra $3K on a car? Most I know are having a hard enough time buying used. Change my comment to 'no one is going to want to spend an extra $3K' then if it makes you feel better. The point is that the risk is already acceptable for most people, so few will want to pay more when it's not even clear if their risk will be reduced.
Are they moving in leaps and bounds? I would think they would be putting fine touches on by now, rather than stumbling down a road wrong way. These are major issues with the data not even being right.
First of all, if they were really learning anything then there would be no need for Tesla to shift emphasis from mobile eye to radar after the trailer crash or any requirement for Tesla to respond at all; the car should determine that on its own. Secondly no one is saying companies can't test, just that they can't test on public roads. They can build a fake city if that's what they want to do.
I find touch screens really awkward to use. I got a note 5 specifically for the stylus and love it. I will be getting a Note 8/9 as well. I'm just glad I'm not an early adopter type or I would have been stuck with a Note 7. I'll be waiting for the new Note to be on the market at least a year before I get one.
Are we developing autonomous cars or not? If a car needs a smart road or even a network connection it is not autonomous. I can tell you there is no way in hell my city would ever be able to afford smart roads. They can't even keep the lines painted!
With the advent of artificial intelligence and machine learning, we are increasingly moving to a world where many decisions around us are shaped by calculations rather than traditional human judgement.
Isn't the point of AI to be indiscernible from traditional human judgement? When it's not, can we please stop calling that AI? It's just a decision made by a computer with a certain set of inputs.
I like Samsung phones, but I'm glad I didn't end up with a Note 7. But every corporation is out there trying to cut every corner they can, and this is the chance they are taking.
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But would it be cost effective in a 98% adoption kind of way? Are almost all people going to stop buying a $5000 used car and drop $40 K on a Google car that might be dangerous in bad weather? Total adoption is required for safety gains.
Well one thing is for sure, we shouldn't take away a person's freedom to drive at a minimal, 100% safe speed and then get them in an accident.
To my knowledge Google cars have only been driven in near perfect conditions. Ie no blizzards or blowing snow or ice of any kind. Also the technology on Google cars is way more unaffordable than a Tesla.
Sure but computers have a long way to go before their weaknesses don't overshadow their strengths in a way that amounts to being safer than a human.
When a human gets in an accident, most start driving a bit slower and more carefully, thus increasing their overall safety. With Al, the accident will get fixed specifically on a left turn, but then happen on a right turn. It will take a long time to work through all the possibilities because even though they are called AI, there is no adaptation.
How can you be so confident that the sensors are right when it isn't even close to autonomous yet? What sensor will differentiate between a floating shopping bag and a flying rock?
It has to be perfectly safe. Autonomous cars are removing a person's individual choices about how they choose to drive safely, so they have to. There is no way around it. There are plenty of drivers out there who figured out how to drive safely, so you can't add to their risk because they chose your particular driving product.to drive safely, so you can't add to their risk because they chose your particular driving product.
You have a choice to live in a place with less commute.
Doesn't really matter if it is double or not.. how many families do you think there are that can afford an extra $3K on a car? Most I know are having a hard enough time buying used. Change my comment to 'no one is going to want to spend an extra $3K' then if it makes you feel better. The point is that the risk is already acceptable for most people, so few will want to pay more when it's not even clear if their risk will be reduced.
These are parlour tricks compared to where they need to be.
Either that, or they start thinking the road is by every stop sign, whether it is on a shirt or not.
Don't these regulations apply to everyone?
Are they moving in leaps and bounds? I would think they would be putting fine touches on by now, rather than stumbling down a road wrong way. These are major issues with the data not even being right.
I thought they were connected to the hive until moment of impact.
First of all, if they were really learning anything then there would be no need for Tesla to shift emphasis from mobile eye to radar after the trailer crash or any requirement for Tesla to respond at all; the car should determine that on its own. Secondly no one is saying companies can't test, just that they can't test on public roads. They can build a fake city if that's what they want to do.
People are out there driving knowing the statistics. Obviously many feel the risk is acceptable. Few will pay double for a car for automation.
"Laws are making us less profitable, that can't be right! Laws are only supposed to help us profit!"
I find touch screens really awkward to use. I got a note 5 specifically for the stylus and love it. I will be getting a Note 8/9 as well. I'm just glad I'm not an early adopter type or I would have been stuck with a Note 7. I'll be waiting for the new Note to be on the market at least a year before I get one.
If the phone is as good as people say they are, then they will make a customer that will purchase more phones in the future.
Are we developing autonomous cars or not? If a car needs a smart road or even a network connection it is not autonomous. I can tell you there is no way in hell my city would ever be able to afford smart roads. They can't even keep the lines painted!
With the advent of artificial intelligence and machine learning, we are increasingly moving to a world where many decisions around us are shaped by calculations rather than traditional human judgement.
Isn't the point of AI to be indiscernible from traditional human judgement? When it's not, can we please stop calling that AI? It's just a decision made by a computer with a certain set of inputs.
But markets solve ALL problems!
This site says it is a hoax. http://en.mediamass.net/people... That's all I could find.
But if that's the case, anything with a lithium polymer battery in it is a potential bomb in a plane.
I like Samsung phones, but I'm glad I didn't end up with a Note 7. But every corporation is out there trying to cut every corner they can, and this is the chance they are taking.