Have you run into work that feels technically possible in principle, but in practice keeps stalling because of how current AI systems behave?
Not asking for:
- bigger context windows
- better memory
- lower hallucination
- more agentic workflows
I mean situations where:
You are trying to discover something (not retrieve something),
and the AI repeatedly pushes toward premature answers, stable interpretations, optimization, categorization, or coherence before the thing itself has had time to emerge.
Cases where the failure isn’t output quality.
The failure is that the interaction itself changes the trajectory of the work.
If yes:
- What are you trying to build / understand?
- What exactly happens when it breaks?
- At what moment do you realize the AI has moved you onto the wrong path?
- What would need to be different for progress to resume?
Trying to understand whether this is an edge case or a recurring limitation pattern.
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