Why a deployed model doesn't learn from your conversations (usually) — two completely different processes get called "the AI is thinking," and only one of them changes anything permanent.
Send a message to a deployed AI model and get back a genuinely useful answer, and it's natural to picture something learning as it goes — the way a person gets a little sharper after a good conversation. That picture is wrong for how standard deployed language models actually work. Almost everything that happens when you talk to a model is inference — running a fixed, already-trained set of weights forward on your input. The only process that actually changes those weights is training, and it's a separate, deliberate, vastly more expensive undertaking that happens occasionally, not with every message.