Titans + MIRAS: Helping AI have long-term memory - research.google
<a href="https://news.google.com/rss/articles/CBMigAFBVV95cUxQT09kQldONHlTQlJsNmJTTzRRRWowZVBpaWN0YVJkSkJ5NUtGYmlhcF9tRzg4aEJTQXJZZU51czlFN2xoOUpmMGx6QzY4WU9FZTR2SWl3WXhLRmtmVFRsSjVxUnhHd2N2TTVKek1tTmprdW01VnVpZGY0U3JOZXNuOQ?oc=5" target="_blank">Titans + MIRAS: Helping AI have long-term memory</a> <font color="#6f6f6f">research.google</font>
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Advancing human–AI teams: evolving from instrumental tools to trusted partners
Human–Computer Interaction (HCI) has undergone fundamental transformations as AI capabilities have advanced, necessitating new theoretical frameworks for understanding human–AI collaboration (HAIC). This review traces HCI’s evolution through four paradigm shifts: the Equipment Era (pre-1970s), Interactive System Era (1980s–1990s), Autonomous Agent Era (1990s–2010s), and the emerging Coexistential AI Era (2020s–present), reflecting changing metaphors from tools to dialog partners, autonomous agents, and co-creative partners. The analysis reveals how anthropomorphism and affective computing have become central to contemporary AI systems, enabling emotional intelligence and pseudo-intimate relationships that fundamentally alter human–technology dynamics. Traditional performance metrics such a
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