AI Agents Are Not Agents Yet
from AI Odyssey Hosted by Anlie Arnaudy, Daniel Herbera and Guillaume Fournier
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
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