LLMs drift. They forget rules mid-conversation. They cannot verify their own output. These are not bugs in a single model — they are properties of any system that processes information without a feedback loop.
I learned this the hard way.
My AI assistant kept repeating the same mistake across sessions. It would agree to a formatting rule, then ignore it ten turns later. I wrote a bug report to myself. That report became a configuration file. That file became an architecture.
Then, on July 6, 2026, Anthropic published J-space — Claude's internal architecture. I read the paper and recognized the topology immediately. The broadcast. The convergence. The causal loop.
I had built the same pattern. Not in neural weights. In markdown files and Python scripts.
