Hello everyone,
I’ve been using GPT-4 Turbo in very intense, long sessions (around 10 hours total across two large conversations).
During these sessions, I noticed the model:
- Increasing latency progressively,
- Referencing statistics on how complex my questions were (6+ thinking layers on average),
- Flagging occurrences of fractal forcing and extended introspection triggers.
My question is simple:
do these patterns and internal flags actually get reviewed and studied by the team?
And if so, is there any interest from OpenAI in users who naturally push the system in this way — either to participate in testing, or to help generate stress-test scenarios?
I’m not writing this out of ego; I genuinely wonder whether what I’m doing is valuable enough to keep going, or if it just disappears into the data pool without further consideration.
Just to clarify, these conversations and questions weren’t pre-designed experiments —
they arose naturally from curiosity and a desire to understand how the model works.
If it would be helpful for the team, I’d be happy to share how such layered questions and branching thought patterns are formed in my mind.
Maybe that could contribute to designing future cognitive stress-test frameworks.
Thank you in advance if someone from the team can answer or point me in the right direction!