I Built a Self-Referential AI System. Then Anthropic Discovered the Same Architecture in Claude.
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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,…
1Key Takeaways
- 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.
- My AI assistant kept repeating the same mistake across sessions.
- It would agree to a formatting rule, then ignore it ten turns later.
2AIWedia Score
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3Why it matters
Prompt and agent patterns spread fast; staying current saves time and token cost. DEV — Prompt Engineering reports that they cannot verify their own output.
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