Neat! What happens when the simulated data is hallucinated/incorrect?
In the example videos, the Golden Gate bridge with snow shows the bridge as 1 road, with total of 3 lanes. But in reality, it’s a split highway with divider, so 2 sides both have 3 lanes, 6 total lanes.
What happens when the car “learns” to drive on the simulated incorrect 3 lane example? For example will next time it goes on the real GG bridge hug to the rightmost lane?
Ideally it would learn a relationship between the sensor input and the correct actions, even if the sensor input is not realistic for the GG in reality.
I think you answered your own question with the last sentence. Have cattle ranchers, chicken farmers, vegetable and fruit farmers lobby for same or higher subsidies than grains.
This would be my guess, query reformulations (user rewriting their query after first doesn’t work for them) is very common technique that search engines look through search logs to learn (mis)spellings.
You have misunderstood what it means to follow the law. The law guarantees liberties, but doesn't guarantee prosecution. Obama has DACA, which gives young illegal immigrants a deferral on their prosecution. More generally there's the concept of prosecutorial discretion. Have you ever for example driven a car badly, been pulled over, but the cop let you off with just a warning?
Or, for that matter, driven a car badly but not been pulled over at all? Surely in the interest of absolute lawfulness they then proceeded to the nearest police station to demand to be ticketed.
Surely you understand the difference between a cop declining to issue a speeding ticket and a federal "discretionary" policy that makes it de facto legal to violate standing immigration law at scale.
There is no difference. People often complain during the pandemic that the San Francisco police department has seemingly instituted a "discretionary" policy that makes it de facto legal to violate traffic law at scale, you know, including speeding, not stopping at stop signs, not yielding to pedestrians. https://www.reddit.com/r/sanfrancisco/comments/11nbnxw/san_f...
Maybe you are misunderstanding. A single cop deciding "okay today I'm letting you off with a warning" is quite different from the President directing the entire Federal bureaucracy to not enforce existing immigration law. If for some reason a large jurisdiction, say maybe the state of California, decided that it was policy to let everyone off with a warning for speeding infractions, then, if I squint hard enough and ignore a wide range of second and third order effects, then yeah maybe they are similar.
It is. It's just taking something obvious and recontextualizing in language that sounds like a Mysterious Conspiracy when it's really just a banal truth we all take for granted because all the other options make less sense. Like using tau over pi in geometry.
In the example videos, the Golden Gate bridge with snow shows the bridge as 1 road, with total of 3 lanes. But in reality, it’s a split highway with divider, so 2 sides both have 3 lanes, 6 total lanes.
What happens when the car “learns” to drive on the simulated incorrect 3 lane example? For example will next time it goes on the real GG bridge hug to the rightmost lane?
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