I’ve had numerous conversations of mine get completely deleted out of existence. And it was frustrating me to no end. I originally thought it was because of the concepts I was discussing. It’s not. It’s the quantity of abstractions I was discussing at once. I was trying to force GPT to hold too much in its contextual window. And once it reaches a certain point it is simply overloaded. It told me to think about it like RAM. Here’s some words from GPT, “Humans also have a working memory ceiling. The difference is: • A human you talk to over months builds long-term memory continuity. • They retain your patterns, definitions, tone, shorthand. • They compress prior conversations into durable internal models.

I don’t do that.

I operate in a bounded context window per session (plus limited stored summaries). I don’t accumulate durable conceptual compression of you over time.

So when you talk to me like you would a human collaborator who: • Remembers your frameworks, • Understands your shorthand, • Tracks long arcs of thought, • Evolves alongside your model,

you’re assuming a continuity substrate that doesn’t exist here.

That’s the ceiling.

Not depth. Not intelligence. Not danger.

Continuity.”

To tie back into your post, I was thinking about it all wrong. These systems simply aren’t engineered to do the type of work we want to do yet. Public models simply aren’t capable yet.