AI does not have LONG context, Long Term Memories or LONG intentionality -its not aware and it can't remember the plot without being spoonfed the details each time from scratch.

Its like an amnesic genius who once he already wrote a masterpiece and keeps cycling, and looses his train of thought after some fixed amount of time.

This groundhog day effect is mitigated in some respects by code -we create key-value memories and agents and stores and countless ways to connect agents via MCP and platforms/frameworks like A2A and the like but until we solve that longer lived instance problem we won't be able to trust these systems without serious HITL (human oversight)

I think we need models that update their own weights and we need some kind of awareness cycle rather than just a forward pass inference run with a bigger context window