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Paper proposes AI-augmented human intelligence as counterpart to AGI

Over-the-shoulder view of a person working alone at a dark desk at night, hands on keyboard, handwritten notebook, two out-of-focus screens glowing cyan under a warm desk lamp

An arXiv paper argues the field should measure how much intelligence a machine can enable in a person, not just how intelligent a machine can be.

An arXiv paper argues the field should measure how much intelligence a machine can enable in a person, not just how intelligent a machine can be.

A paper posted on arXiv, titled From Autonomous Agents to Cognitive Symbionts: Toward AI-Augmented Human Intelligence, lays out a position argument rather than an experimental result. The authors contend that a decade of AI progress has been judged by how much a machine can do alone, from foundation models that write code and run multistep tasks to personal agents acting on a person's behalf. They propose a complementary goal, AI-augmented human intelligence, or AHI, which asks how much intelligence a machine can enable in a particular person.

The paper frames its case around human shortcomings the authors say current systems do not address: people forget what they once knew, miss what they are not looking at, fail to find the right words, and make hard choices without access to their own history, while the machine that could help stands outside the situation. It argues the Physical AI era has focused on one intelligent individual, the embodied robot, while ignoring a second of equal importance, the person augmented by AI. The proposed remedy is a cognitive symbiont: a lifelong, embedded, real-time, private, low-friction, proactive companion that senses what the person senses through external devices, keeps their context across years, models their situation and mind, and takes part in their thinking.

The paper is a conceptual argument with no benchmarks, datasets, or system evaluations reported in the available material, so it does not demonstrate that a cognitive symbiont can be built or that augmentation would outperform autonomous agents. The excerpt is also cut off before describing what taking part in a person's thinking entails. To watch next: whether the authors or others produce working prototypes that satisfy the privacy, longevity, and real-time requirements the paper sets out, and whether AHI can be measured at all.

Source: From Autonomous Agents to Cognitive Symbionts: Toward AI-Augmented Human Intell…