3 ms·

How could they possibly included in the previous training run which takes months to complete..

s900mhz 15d ago
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?
- bethekidyouwant 15d ago
  You’re saying that when they we’re trying to solve this theorem they also shoved in its context somebody else’s chat logs? Bruh.
mswphd 15d ago
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.
metanonsense 15d ago
Maybe the boundaries of the memory subsystem are a bit fuzzy.
- TZubiri 15d ago
  No, it's quite well defined, and it's not called a 'memory subsystem'. There is a training process (as in traditional Machine Learning training) that occurs with data available at the specific point in time the training starts (or ends), this is called the cutoff date. After this point there can be other kinds of training, the weights can be shifted, the internal CoT prompts can be changed, routing in MoE can change, but the Foundational Model that was trained on a corpus is the same model trained in the same corpus. User data can be used at any of these stages theoretically of course, but by the nature of training and from the dates of the events, (a new Foundational Model being released), it would look as if the user data of the professor was used in the training of the foundational model, which is something that OAI does every couple of months for a big release, and incorporates the new text from their text scraping efforts, including new books ingested, new internet text scraped, deals with third party platforms, and data from their own users (not conjectured, read the ToS, users allow this.)
jazzyjackson 15d ago
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.

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?

bethekidyouwant 15d ago
You’re saying that when they we’re trying to solve this theorem they also shoved in its context somebody else’s chat logs? Bruh.

mswphd 15d ago

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.

metanonsense 15d ago

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

TZubiri 15d ago
No, it's quite well defined, and it's not called a 'memory subsystem'. There is a training process (as in traditional Machine Learning training) that occurs with data available at the specific point in time the training starts (or ends), this is called the cutoff date. After this point there can be other kinds of training, the weights can be shifted, the internal CoT prompts can be changed, routing in MoE can change, but the Foundational Model that was trained on a corpus is the same model trained in the same corpus. User data can be used at any of these stages theoretically of course, but by the nature of training and from the dates of the events, (a new Foundational Model being released), it would look as if the user data of the professor was used in the training of the foundational model, which is something that OAI does every couple of months for a big release, and incorporates the new text from their text scraping efforts, including new books ingested, new internet text scraped, deals with third party platforms, and data from their own users (not conjectured, read the ToS, users allow this.)

jazzyjackson 15d ago

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.