AI Agents Are Not Agents Yet
カートのアイテムが多すぎます
カートに追加できませんでした。
ウィッシュリストに追加できませんでした。
ほしい物リストの削除に失敗しました。
ポッドキャストのフォローに失敗しました
ポッドキャストのフォロー解除に失敗しました
AI Agents Are Not Agents Yet
-
ナレーター：
-
著者：
What if today’s “AI agents” are mostly automation pipelines wearing a more ambitious label?
This episode explores Critique of Agent Model, a paper that draws a sharp line between agentic systems, which look autonomous because engineers scaffold workflows around them, and agentive systems, where goals, identity, decisions, self-regulation, and learning are internal to the system itself.
The authors propose a Goal-Identity-Configurator (GIC) architecture as a path toward genuine machine agency, while keeping the central safety question unavoidable: greater autonomy also makes oversight significantly more difficult.
Inspired by the work of Eric Xing, Mingkai Deng, and Jinyu Hou, this episode was created using Google’s NotebookLM.
Read the original paper here: https://arxiv.org/abs/2606.23991