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The humans behind the robots

  • Well-funded robotics companies like Prosper are hoping to shift labor dynamics by building robots that receive help from remote operators instead of building a perfect robot that can do everything on its own.
  • The remote operators will come from low-wage countries and aid robots in completing tasks like physical labor in the hospitality and domestic industries.
  • Because robots require training data to navigate complex environments like hotels and hospitals, companies will expand their search for training data to workplaces and more.
  • This shift in labor dynamics will introduce a new battle between the labor movement and AI as hospitality, and domestic workers will need to fight to protect their jobs from automation.
  • Expectations of privacy will shift radically as people buying household robots will have to be comfortable with someone they have never met seeing their dirty laundry.
  • Several well-funded companies are betting that robots can perform almost any physical labor, even if the technology is not yet fully automated.
  • The Data Provenance Initiative, a group of over 50 researchers from both academia and industry, discovered that over 70% of speech and image data sets come from YouTube.
  • AI's data practices may concentrate power overwhelmingly in the hands of a few dominant technology companies, which may affect the data that AI models use.
  • AI is changing how ecologists study bird migration by empowering machine-learning tools to unlock acoustic data.
  • OpenAI unveiled a more advanced reasoning model called o3 that solves more complex multi-step problems.

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