ran a repetitive test on five different ai systems to see if they'd diverge, but they all hit the same wall regarding persistent memory and state. it turns out even deepseek is stuck in an
echo chamber of the same core architectural themes like environment interaction and learning.
the models are basically just reciting the same textbook which makes me wonder if we've already peaked on fundamental logic. anyone else seeing this exact same loop when testing for
agentic capabilities?
article:
https://dev.to/neonalt9/i-gave-five-ai-systems-the-same-architecture-test-10-times-the-test-became-more-interesting-than-572