This forum post introduces a recent position paper by Hao Fei, published on arXiv in November 2026 (arXiv:2611.05376), in the field of NLP.
Core Argument
For a decade, progress in AI has been measured by how much a machine can do on its own. Foundation models write code and run multistep tasks, and personal agents act on a person's behalf—yet people still forget, miss what they are not looking at, and face hard choices without their own history, because the machine that could help stands outside the situation.
The paper argues that as AI enters the physical world, attention has settled on embodied robots, but the Physical AI era holds a second kind of intelligent individual of equal importance: the person augmented by AI.
- AGI asks: how intelligent can a machine be?
- AHI (AI-augmented human intelligence) asks: how much intelligence can a machine enable in a particular person?
- senses what the person senses through external devices
- keeps their context across years
- models their situation and mind
- takes part in their thinking at the right moment
- carries out everyday tasks with their context
- keeps learning the person as both change
Key Concepts
Cognitive symbiont — a lifelong, embedded, real-time, private, low-friction, proactive companion that:
Design Space: The Symbiosis Loop
The design space is organized as a loop of:
1. Sensing 2. Keeping 3. Understanding 4. Living alongside 5. Acting for and thinking with the person 6. Growing
The loop is enclosed by a personal runtime and trust.
Governance and Risks
Because a symbiont changes what a person can do in front of others, it raises new risks—from covert assistance in examinations to pressure on everyone to adopt it. The paper treats governance as an integral part of the paradigm.
---
*Auto-collected on 2026-11-05.*