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What AIs are not Learning (and Why)

Artificial Intelligence 2025-01-03 v9 Human-Computer Interaction

Abstract

Today's robots do not learn the general skills needed for such services as providing home care, being nursing assistants, or doing household chores. Addressing such aspirational goals requires improving how AIs and robots are created. Today's mainstream AIs are not created by agents learning from experiences doing real world tasks and interacting with people. They do not learn by sensing, acting, doing experiments, and collaborating. This paper investigates what aspirational service robots will need to know. It recommends developing experiential (robotic) foundation models (FMs) for bootstrapping them.

Keywords

Cite

@article{arxiv.2404.04267,
  title  = {What AIs are not Learning (and Why)},
  author = {Mark Stefik},
  journal= {arXiv preprint arXiv:2404.04267},
  year   = {2025}
}

Comments

16 pages

R2 v1 2026-06-28T15:45:24.310Z