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"I went [to the top of] Vehicle Assembly Building and looked down, and tears burst from my eyes. The size of this cathedral where the Rockets take off to go to the moon is so amazing."
- Ray Bradbury

Royalties For Machine Learning Subjects  
  A payment to people who are used as subjects for imitation learning by robots.  

One of the techniques used in deep learning for artificial intelligence is to use either still photographs or a series of photos (video) to enable a learning algorithm to grasp the subtle movements used to (for example) drive a car or perform some other practical task.

Or, make a drink just exactly right?

"I got one of those new electronic cameras - you know, one thousand exposures per second... So we took pictures of Guzub making a Three Planets, and I could construct this one to do it exactly right down to the thousandth of a second. The proper proportion of vuzd, in case you're interested, works out to three-point-six-five-four-seven eight-two-three drops. It's done with a flip of the third joint of the tentacle on the down beat. It didn't seem right to use Guzub to make a robot that would compete with him and probably drive him out of business, so we've promised him a generous pension from the royalties on usuform barkeeps."
Technovelgy from Q.U.R., by Anthony Boucher.
Published by Astounding Science Fiction in 1943
Additional resources -

Compare to the replaced worker benefits from Spark (2014) by John Twelve Hawks.

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Additional resources:
  More Ideas and Technology from Q.U.R.
  More Ideas and Technology by Anthony Boucher
  Tech news articles related to Q.U.R.
  Tech news articles related to works by Anthony Boucher

Royalties For Machine Learning Subjects-related news articles:
  - Copilot Software AI Training Sued By Involuntary Contributors
  - Singapore Writers Push Back On LLM Training
  - Does The Shortage Of Human Inputs Limit AI Development?
  - Robot Baristas Learn Their Trade Without Paying Royalties
  - Australian Authors Reject AI Training Of Llama
  - Robot Learns Human Tool Usage By Imitation Learning

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A Remarkable Coincidence

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