Comments by "Luredreier" (@Luredreier) on "Donut" channel.

You're right about the gas vs electric argument. However the gas vs electric vs hybrid becomes a lot more complicated. Because in essence you can make more hybrids for the same amount of raw materials that you'd use to make a single electric car and get most of the benefits of that electric car in all of those hybrids. So even if the hybrid is beaten by the electric car in a one vs one in terms of environmental impact after a while the total number of hybrids you can make with the resources you need for a electric car is better for the environment then that one electric car by a long shot. So I recommend encouraging people to buy hybrids, at least for now. With more efficient manufacturing that might of course change. Also, the balance between the two depends a bit on the energy sources, both on the electric and gas side. Also, you mentioned that you'll own a gas car for the rest of your life? Considered just giving a hybrid a try? Some hybrids like the Toyota rav4 is seriously impressive.
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11:51 Neural networks tends to work best when you have few inputs and outputs to deal with. I don't think adding a lidar would have helped much, or if it's too good the neutral network might have ended up relying on it too much causing it to miss other things.
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@zihechen3111 LiDAR is not stupid, there's things it shows that a camera won't pick up. A camera essentially is dealing with a 2D grid of information that has no inherent depth information contained in it. With multiple cameras you can kind of guess a distance, but cameras won't always be enough. Especially in poor visibility conditions. Radar LiDAR etc contains information about depth and works better in poor lighting conditions. Engineering is complicated, and usually when different engineers come to different solutions you're dealing with situations with different tradeoffs and many complicated considerations. So calling either option "stupid" just isn't helpfull at all...
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@zihechen3111 Try using headlights in a Norwegian winter storm, I dare you... As for ultraviolet and infrared, that's still colours close to the visible spectrum and had the same flaws in that they're absorbed, dispersed etc by the same or similar materials to visible light. A LiDAR is essentially just such a "headlight" except far stronger and focused on a point instead of all over the place so you increase the likelihood that some of it gets through and since there's so much more of it there then anything else it's easier to pick out from the ambient lighting so you can do essentially the same trick as in ecolocation and measure the time between a signal being sent and received, something regular headlights are too primitive for and also something they're not useful for even if they had the tech because that kind of light would be difficult to distinguish from ambient lighting... And if you start adding night vision etc you may as well start looking at radar and LiDAR anyway as you're adding the same kind of extra input for the neural network to compute... It's a tradeoff. If you add more inputs you'll need a bigger network and more training and your overall outcome might not be better. Yet it's more *resilient*.
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