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Articole: 10
  1. Oops — An AI Said Why it was Wrong

    Large language models (LLMs) are wonderful tools, but they sometimes make serious mistakes.

  2. AI Engineering Primer

    Current AI systems are a world apart from earlier symbolic AI systems that used manually-constructed rules and could explain their reasoning.

  3. It Takes a Village to Raise a Robot

    A widespread public concern is that AIs are not trustworthy because they lack human values.

  4. Roots and Requirements for Collaborative AIs

    The vision of AIs as human-like collaborators is a staple of mythology and science fiction, where artificial agents with special talents assist human partners and teams.

  5. What AIs are not Learning (and Why)

    Note: This post is about challenges in developing practical everyday robots for applications such as care for disabled people and household chores.

  6. Bootstrapping Developmental AIs

    Note: This paper was written as a thought piece in 2023 when the price of small robots was too high for government-sponsored research along these lines.

  7. When I was asked to lead the Intelligent Systems and Technology Lab at the Palo Alto Research Center (PARC), I wanted the lab to succeed wonderfully in its research mission.

  8. A Generation Ready for Human-Computer Teams

    Human-computer teams combine best of human and computer cognition.

  9. What’s the Right Operating System for a Light Bulb?

    The typical news today about LED bulbs is about their rapid adoption, their dropping prices, and supporting legislation.

  10. Smart City Lessons from Shopping Alleys

    Doud Arcade off Ocean Avenue (Carmel, CA.)