Why did director John Ford lose the services of a weather forecaster? Detailed answer

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Why did director John Ford lose the services of a weather forecaster? Detailed answer

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Why did director John Ford lose the services of a weather forecaster?

Director John Ford often attracted Indians not only as actors for his westerns, but also for other work. When filming Fort Apache, many scenes required certain weather conditions, and Ford began to pay a Navajo doctor to give him forecasts. For several days they definitely came true, but one day the doctor said that he could no longer predict. When asked why, he replied that one actor had taken his radio.

Authors: Jimmy Wales, Larry Sanger

Random interesting fact from the Great Encyclopedia:

How did the British pilots make the V-1 rockets fall in the place they needed?

When the Germans began to massively attack England with V-1 cruise missiles, British aviation tried to actively counteract the new weapon. Many rockets were shot down by fighters, but some pilots used an alternative method, which was given the name "coup de wing". The pilot flew up close to the flying rocket, placed the wing of his plane under the short wing of the V-1 and deftly turned the rocket over, causing it to lose flight stability and fall down. This maneuver was performed over the sea or a deserted area, so the rocket explosion did not cause any harm.

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Scientists at Stanford University have combined two different ways of setting goals for robots. This "centaur" turned out to be more effective than each of the methods separately from each other, both in simulations and in real experiments, according to the university's website.

"In the future, I have every confidence that there will be more autonomous systems in the world, and they will need some understanding of what is good and what is bad," said Andy Palan, a graduate student in computer science at Stanford University and one of the the first authors of the work.

The new robot training system combines a demonstration method with user surveys. The first method involves people showing the robot what to do, and in the second case, they answer questions about how they want the robot to behave in a certain situation: for example, when determining the trajectory of a self-driving car.

The demonstrations are informative, but they can contain a lot of superfluous content. Preferences, on the other hand, make up a maximum of one bit of information, but are much more accurate, the researchers note. These approaches complement each other perfectly - and it is very important to intelligently combine the data coming from both sources.

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