RU version is available. Content is displayed in original English for accuracy.
Advertisement
Advertisement
⚡ Community Insights
Discussion Sentiment
33% Positive
Analyzed from 417 words in the discussion.
Trending Topics
#codex#using#attention#scheme#where#customers#issue#caching#used#users

Discussion (18 Comments)Read Original on HackerNews
Here are the docs:
https://developers.openai.com/api/docs/guides/prompt-caching...
The thread has little explanation as to what weird thing they’re doing to Codex that is making the default work poorly, and it kind of seems like it’s getting confused about whether it wants to set the caching mode or the breakpoint or both.
In any case, I find the behavior change interesting. It sounds to be like 5.5 and below may have been using a conventional attention scheme where a cached KV sequence can be easily used to restore a prefix of itself, but perhaps 5.6 is using linear attention or LSTM or another recurrent scheme where you cannot rewind the model state by just truncating it.
I feel like this is the kind of substantial change to your product that you would need to tell your customers about. It would be simply disrespectful to your customers to not disclose this upfront.
Users is the product.
I mean i use AI too but was taken back when an agent popped up dictating what i should do and so on....felt weird
The workaround in issue resolved for me: web_search = "disabled"
If enough comments are added to the discussion, it might end up being collapsed.
"Random" accidents that always go against you, too biased to be random.
But don't notice that too much, you might start to see patterns here and there that you're not supposed to see ...