I won't take a side in things, but OpenAI stated the model they used here started training August 28th. Note that "training" here might mean "post-training with RLHF an Astra base model" or something. but training had only started a little over a week earlier.

IMO It’s not about being trained on the data, it’s more like what do the agents have access to during inference? Can they grep customer transcripts/logs?

Has it not been the usual process to snapshot a model to use for inference while continuing to run the training process? I guess you can’t add to the training corpus once you begin? Just trying to make sense of whether training begins or ends as rigidly as you suggest.

Maybe the boundaries of the memory subsystem are a bit fuzzy.