Editing Openai/6939b23e-87cc-8001-bdd9-9546d1143ce9 (section)

=== Your idea describes a hypothetical type of self-modifying machine intelligence. ===

Current LLMs cannot do it.

And building such a system inside a transformer is technically unsafe, unstable, and not supported by the architecture.

To get similar capabilities today, you must:
* keep weights frozen
* build persistent memory outside the model
* use retrieval or agent frameworks
* fine-tune models offline
* redeploy updated versions safely

No inference cycle ever updates the model.

If you want, I can explain next:
* How external memory systems simulate biological memory
* How “continual learning” is being researched
* What an actual self-modifying neural architecture would require
* Why transformer training methods prevent online weight mutation
* How you could build a system that appears to learn over time without modifying the model

Just tell me which direction you want next.