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Cumehtar
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Bandwidth and latency seems to be the biggest flaw. It needs six simultaneous high quality video links that need to be transmitted around the globe without any appreciable delay. And what about the interference from different causes? Bridges, tunnels, power lines?

The second problem, connected to the first, is that your system doesn't scale easily. It would, perhaps, work fine for 10 testing cars, decently for the first 100. Now imagine at least 10 000 cars, all needing high-speed satellite link to India. The costs of mantain the decent connection would rise so rapidly that at the first 100 000 cars you would find it will be easier to develop the driving AI after all.

In other words, it works as a scam, but not as a proper business venture.

UPD: the attractiveness of all the kinds of neural networks in computing is that they work better the more data you have. If your driving AI is a neutral network, it will work better, the more cars you have.

Your model, on the other hand, will work worse, put more strain and be more expensive, the more clients you have - that's not a good way to plan a growing business.

One additional moment I left out at first. Outsourcing IT work works so well also because the people you outsource it to use their owncomparatively generic off-the shelf computers, provided by outsourcing contractor. Here you would need to outfit every Indian driver with a powerful six-screen workstation that is, in essence, a high end car simulator. It could be easier just to import the said Indian driver to USA and pay him salary there.

Another factor is legal responsibility. Who would bear it in the case of a crash? You have no direct control over your drivers, they may come to work drunk or stoned, sleep on the job or just forget to pay attention. And they won't bear any responsibility - they are outsorced IT specialist in another country. What are you going to do? Ask for extradition? The project will be crucified after the first crash, especially if there are any fatalities.

Bandwidth and latency seems to be the biggest flaw. It needs six simultaneous high quality video links that need to be transmitted around the globe without any appreciable delay. And what about the interference from different causes? Bridges, tunnels, power lines?

The second problem, connected to the first, is that your system doesn't scale easily. It would, perhaps, work fine for 10 testing cars, decently for the first 100. Now imagine at least 10 000 cars, all needing high-speed satellite link to India. The costs of mantain the decent connection would rise so rapidly that at the first 100 000 cars you would find it will be easier to develop the driving AI after all.

In other words, it works as a scam, but not as a proper business venture.

UPD: the attractiveness of all the kinds of neural networks in computing is that they work better the more data you have. If your driving AI is a neutral network, it will work better, the more cars you have.

Your model, on the other hand, will work worse, put more strain and be more expensive, the more clients you have - that's not a good way to plan a growing business.

One additional moment I left out at first. Outsourcing IT work works so well also because the people you outsource it to use their own computers. Here you would need to outfit every Indian driver with a powerful six-screen workstation that is, in essence, a high end car simulator. It could be easier just to import the said Indian driver to USA and pay him salary there.

Another factor is legal responsibility. Who would bear it in the case of a crash? You have no direct control over your drivers, they may come to work drunk or stoned, sleep on the job or just forget to pay attention. And they won't bear any responsibility - they are outsorced IT specialist in another country. What are you going to do? Ask for extradition? The project will be crucified after the first crash, especially if there are any fatalities.

Bandwidth and latency seems to be the biggest flaw. It needs six simultaneous high quality video links that need to be transmitted around the globe without any appreciable delay. And what about the interference from different causes? Bridges, tunnels, power lines?

The second problem, connected to the first, is that your system doesn't scale easily. It would, perhaps, work fine for 10 testing cars, decently for the first 100. Now imagine at least 10 000 cars, all needing high-speed satellite link to India. The costs of mantain the decent connection would rise so rapidly that at the first 100 000 cars you would find it will be easier to develop the driving AI after all.

In other words, it works as a scam, but not as a proper business venture.

UPD: the attractiveness of all the kinds of neural networks in computing is that they work better the more data you have. If your driving AI is a neutral network, it will work better, the more cars you have.

Your model, on the other hand, will work worse, put more strain and be more expensive, the more clients you have - that's not a good way to plan a growing business.

One additional moment I left out at first. Outsourcing IT work works also because the people you outsource it to use comparatively generic off-the shelf computers, provided by outsourcing contractor. Here you would need to outfit every Indian driver with a powerful six-screen workstation that is, in essence, a high end car simulator. It could be easier just to import the said Indian driver to USA and pay him salary there.

Another factor is legal responsibility. Who would bear it in the case of a crash? You have no direct control over your drivers, they may come to work drunk or stoned, sleep on the job or just forget to pay attention. And they won't bear any responsibility - they are outsorced IT specialist in another country. What are you going to do? Ask for extradition?

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Cumehtar
  • 5.9k
  • 15
  • 39

Bandwidth and latency seems to be the biggest flaw. It needs six simultaneous high quality video links that need to be transmitted around the globe without any appreciable delay. And what about the interference from different causes? Bridges, tunnels, power lines?

The second problem, connected to the first, is that your system doesn't scale easily. It would, perhaps, work fine for 10 testing cars, decently for the first 100. Now imagine at least 10 000 cars, all needing high-speed satellite link to India. The costs of mantain the decent connection would rise so rapidly that at the first 100 000 cars you would find it will be easier to develop the driving AI after all.

In other words, it works as a scam, but not as a proper business venture.

UPD: the attractiveness of all the kinds of neural networks in computing is that they work better the more data you have. If your driving AI is a neutral network, it will work better, the more cars you have.

Your model, on the other hand, will work worse, put more strain and be more expensive, the more clients you have - that's not a good way to plan a growing business.

One additional moment I left out at first. Outsourcing IT work works so well also because the people you outsource it to use their own computers. Here you would need to outfit every Indian driver with a powerful six-screen workstation that is, in essence, a high end car simulator. It could be easier just to import the said Indian driver to USA and pay him salary there.

Another factor is legal responsibility. Who would bear it in the case of a crash? You have no direct control over your drivers, they may come to work drunk or stoned, sleep on the job or just forget to pay attention. And they won't bear any responsibility - they are outsorced IT specialist in another country. What are you going to do? Ask for extradition? The project will be crucified after the first crash, especially if there are any fatalities.

Bandwidth and latency seems to be the biggest flaw. It needs six simultaneous high quality video links that need to be transmitted around the globe without any appreciable delay. And what about the interference from different causes? Bridges, tunnels, power lines?

The second problem, connected to the first, is that your system doesn't scale easily. It would, perhaps, work fine for 10 testing cars, decently for the first 100. Now imagine at least 10 000 cars, all needing high-speed satellite link to India. The costs of mantain the decent connection would rise so rapidly that at the first 100 000 cars you would find it will be easier to develop the driving AI after all.

In other words, it works as a scam, but not as a proper business venture.

UPD: the attractiveness of all the kinds of neural networks in computing is that they work better the more data you have. If your driving AI is a neutral network, it will work better, the more cars you have.

Your model, on the other hand, will work worse, put more strain and be more expensive, the more clients you have - that's not a good way to plan a growing business.

One additional moment I left out at first. Outsourcing IT work works so well also because the people you outsource it to use their own computers. Here you would need to outfit every Indian driver with a powerful six-screen workstation that is, in essence, a high end car simulator. It could be easier just to import the said Indian driver to USA and pay him salary there.

Another factor is legal responsibility. Who would bear it in the case of a crash? You have no direct control over your drivers, they may come to work drunk or stoned, sleep on the job or just forget to pay attention. And they won't bear any responsibility - they are outsorced IT specialist in another country. What are you going to do? Ask for extradition?

Bandwidth and latency seems to be the biggest flaw. It needs six simultaneous high quality video links that need to be transmitted around the globe without any appreciable delay. And what about the interference from different causes? Bridges, tunnels, power lines?

The second problem, connected to the first, is that your system doesn't scale easily. It would, perhaps, work fine for 10 testing cars, decently for the first 100. Now imagine at least 10 000 cars, all needing high-speed satellite link to India. The costs of mantain the decent connection would rise so rapidly that at the first 100 000 cars you would find it will be easier to develop the driving AI after all.

In other words, it works as a scam, but not as a proper business venture.

UPD: the attractiveness of all the kinds of neural networks in computing is that they work better the more data you have. If your driving AI is a neutral network, it will work better, the more cars you have.

Your model, on the other hand, will work worse, put more strain and be more expensive, the more clients you have - that's not a good way to plan a growing business.

One additional moment I left out at first. Outsourcing IT work works so well also because the people you outsource it to use their own computers. Here you would need to outfit every Indian driver with a powerful six-screen workstation that is, in essence, a high end car simulator. It could be easier just to import the said Indian driver to USA and pay him salary there.

Another factor is legal responsibility. Who would bear it in the case of a crash? You have no direct control over your drivers, they may come to work drunk or stoned, sleep on the job or just forget to pay attention. And they won't bear any responsibility - they are outsorced IT specialist in another country. What are you going to do? Ask for extradition? The project will be crucified after the first crash, especially if there are any fatalities.

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Source Link
Cumehtar
  • 5.9k
  • 15
  • 39

Bandwidth and latency seems to be the biggest flaw. It needs six simultaneous high quality video links that need to be transmitted around the globe without any appreciable delay. And what about the interference from different causes? Bridges, tunnels, power lines?

The second problem, connected to the first, is that your system doesn't scale easily. It would, perhaps, work fine for 10 testing cars, decently for the first 100. Now imagine at least 10 000 cars, all needing high-speed satellite link to India. The costs of mantain the decent connection would rise so rapidly that at the first 100 000 cars you would find it will be easier to develop the driving AI after all.

In other words, it works as a scam, but not as a proper business venture.

UPD: the attractiveness of all the kinds of neural networks in computing is that they work better the more data you have. If your driving AI is a neutral network, it will work better, the more cars you have.

Your model, on the other hand, will work worse, put more strain and be more expensive, the more clients you have - that's not a good way to plan a growing business.

One additional moment I left out at first. Outsourcing IT work works so well also because the people you outsource it to use their own computers. Here you would need to outfit every Indian driver with a powerful six-screen workstation that is, in essence, a high end car simulator. It could be easier just to import the said Indian driver to USA and pay him salary there.

Another factor is legal responsibility. Who would bear it in the case of a crash? You have no direct control over your drivers, they may come to work drunk or stoned, sleep on the job or just forget to pay attention. And they won't bear any responsibility - they are outsorced IT specialist in another country. What are you going to do? Ask for extradition?

Bandwidth and latency seems to be the biggest flaw. It needs six simultaneous high quality video links that need to be transmitted around the globe without any appreciable delay. And what about the interference from different causes? Bridges, tunnels, power lines?

The second problem, connected to the first, is that your system doesn't scale easily. It would, perhaps, work fine for 10 testing cars, decently for the first 100. Now imagine at least 10 000 cars, all needing high-speed satellite link to India. The costs of mantain the decent connection would rise so rapidly that at the first 100 000 cars you would find it will be easier to develop the driving AI after all.

In other words, it works as a scam, but not as a proper business venture.

Bandwidth and latency seems to be the biggest flaw. It needs six simultaneous high quality video links that need to be transmitted around the globe without any appreciable delay. And what about the interference from different causes? Bridges, tunnels, power lines?

The second problem, connected to the first, is that your system doesn't scale easily. It would, perhaps, work fine for 10 testing cars, decently for the first 100. Now imagine at least 10 000 cars, all needing high-speed satellite link to India. The costs of mantain the decent connection would rise so rapidly that at the first 100 000 cars you would find it will be easier to develop the driving AI after all.

In other words, it works as a scam, but not as a proper business venture.

UPD: the attractiveness of all the kinds of neural networks in computing is that they work better the more data you have. If your driving AI is a neutral network, it will work better, the more cars you have.

Your model, on the other hand, will work worse, put more strain and be more expensive, the more clients you have - that's not a good way to plan a growing business.

One additional moment I left out at first. Outsourcing IT work works so well also because the people you outsource it to use their own computers. Here you would need to outfit every Indian driver with a powerful six-screen workstation that is, in essence, a high end car simulator. It could be easier just to import the said Indian driver to USA and pay him salary there.

Another factor is legal responsibility. Who would bear it in the case of a crash? You have no direct control over your drivers, they may come to work drunk or stoned, sleep on the job or just forget to pay attention. And they won't bear any responsibility - they are outsorced IT specialist in another country. What are you going to do? Ask for extradition?

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Cumehtar
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