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From Autonomous Agents to Cognitive Symbionts: Toward AI-Augmented Human Intelligence — arXiv:2611.05376

Source: arXiv (en)
Original: https://arxiv.org/abs/2611.05376
License (as archived): CC0-1.0
Archived: 2026-11-04T12:31:21.483Z
SHA-256 of the archived text: 970b249041ddfc7c5b33317c3465c5e872592d378d86e69670ccd2a1e599b7d2
Stable URL of this page: https://metraipolis.com/documento/dc_640ec7a42e93

How to cite

From Autonomous Agents to Cognitive Symbionts: Toward AI-Augmented Human Intelligence — arXiv:2611.05376 — arXiv (en), https://arxiv.org/abs/2611.05376 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_640ec7a42e93 (Metraipolis archive dc_640ec7a42e93, sha256 970b249041ddfc7c5b33317c3465c5e872592d378d86e69670ccd2a1e599b7d2)

BibTeX

@misc{dc640ec7a42e93,
  title = {From Autonomous Agents to Cognitive Symbionts: Toward AI-Augmented Human Intelligence — arXiv:2611.05376},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2611.05376},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_640ec7a42e93; sha256 970b249041ddfc7c5b33317c3465c5e872592d378d86e69670ccd2a1e599b7d2},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2611.05376. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

For a decade, progress in artificial intelligence has been measured by how much a machine can do on its own. Large foundation models now write code and run multistep tasks, and personal agents act on a person's behalf. Yet people still forget what they once knew, miss what they are not looking at, fail to find the right words, and face hard choices without the benefit of their own history, because the machine that could help stands outside the situation. As AI moves into the physical world, attention has settled on one kind of intelligent individual, the embodied robot; we argue that the era of Physical AI holds a second kind of equal importance, the person augmented by AI. Alongside artificial general intelligence, which asks how intelligent a machine can be, stands AI-augmented human intelligence (AHI), which asks how much intelligence a machine can enable in a particular person. Realizing it calls for a new kind of system, a cognitive symbiont: a lifelong, embedded, real-time, private, low-friction, and proactive companion that senses what the person senses through external devices, keeps their context across years, models their situation and their mind, takes part in their thinking at the right moment, carries out everyday tasks with their context, and keeps learning the person as both change. We give the paradigm a conceptual core, the cognitive gap between what a person could bring to a situation and what they can hold in working memory, and organize its design space as a symbiosis loop of sensing, keeping, understanding, living alongside, acting for and thinking with the person, and growing, enclosed by a personal runtime and by trust. Because a symbiont changes what a person can do in front of others, it also raises risks of a new kind, from covert assistance in examinations to pressure on everyone to adopt it, and we treat their governance as part of the paradigm.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.AI, nuovi lavori del giorno).
Categorie arXiv: Computation and Language (cs.CL) ; Artificial Intelligence (cs.AI).
Pagina del lavoro: https://arxiv.org/abs/2611.05376 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-11-04T12:26:47.336Z dalla pagina https://arxiv.org/list/cs.AI/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).