Cars (or more precisely, drivers in cars - that false equivalence is part of the problem) look for other cars. They do not look for pedestrians, cyclists, or motorcycles, they assume that if there's not another 5000 lbs shiny steel box in the lane that they're clear to go.
Last weekend after my son's elementary school soccer game, someone wasn't interested in trying to join the line of cars exiting the parking lot, and tried to pull forward over a grass patch that separated the parking area from the driveway by the field. Except there was a 2000 lbs boulder, 3' tall, just in front of their car... which they entirely forgot about after walking past it. Their head was on a swivel looking for a gap in the line of cars on the driveway, but not for anything else. They destroyed their bumper, probably damaged their radiator or suspension, and got the left front tire partially up on the rock.
I was just glad it wasn't one of the multitude of 3' tall kids at the game.
Yes, as I understand it there is bias inherent in any dataset due to the fact it is a sample. Data dredging is just looking for that bias. You could do that, but then you'd have to confirm with a new experiment.
Ah, OpenThinker-7B. A diverse variety of LLM from the OpenThoughts team. Light and airy, suitable for everyday usage and not too heavy on the CPU. A new world LLM for the discerning user.
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This is much closer to the metal of a modern ELF implementation. Linkers and Loaders is excellent for background and covers a wider spectrum, but was something like a decade old at the time this was written.
I'm assuming your in the US when you talk about the black kids. How much do you think US segregation on racial lines in the 20th century has an impact on this?
This was Bryce Dallas Howard's first film so it was her big break, before that she had only done theater. Hopefully she got a percentage of the profit and some extra money for promoting the film.
Edit: Also worth noting that her father is Ron Howard so she probably didn't need the money.