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

Paper recorded by Signals 4 on 2026-11-03 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-11-03 on arXiv · recorded by Signals 4 on 2026-11-04

Category: cs.AI · 人工智能 · first seen 2026-11-04

Abstract

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

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#2 most recent of 920 cs.AI papers we have recorded · ↑ newer: DreamX: Video Diffusion Model is a Universal Latent Action Learner · ↓ older: Aligning Language Models with General Preferences: An Empirical Study

Cite this page: From Autonomous Agents to Cognitive Symbionts: Toward AI-Augmented Human Intelligence: the #2 most recent of 920 cs.AI papers we have recorded (as of 2026-11-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/from-autonomous-agents-to-cognitive-symbionts-toward-ai-augmented-human-intellig.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json

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