Has the model changed or something?
Do you have an example?
For single shot chats things seem to work pretty well. But when using multi-shot chats, seems like gpt āforgetsā what was previously mentioned in the chat? gpt-4-32k doesnāt have this problem?
Yes, Iām using the default/paid cursor model
lately, chat.openai.com is doing a better job than cursor, imho
iām having to bounce between the two
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Youād probably be better served using your own api key and using the gpt4-1106-preview model. Works great for me! I spam it all day and never pay more than 30$/mo in api fees
With a few file imports in the context, I easily come up with 10 euros a day.
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Cursor is not usable at all I feel. I have spent like ~200 of my monthly fast requests just going back and forth with one thing, to the point where I had to rebuild my entire project from scratch by my own.
I donāt blame the team, itās probably the core GPT-4 model getting dumber. I just think that the product I subscribed to, and the one I now get to use, are completely different.
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Same story bro
Since a few days I experience the same thing. I can not get the AI to do anything uswful, not even small and easy fixes. Cursor is totally useless for me in the current state. When using 3.5, I donāt even get messages anymore. Just a few lines of code that match my existing implementation with no explanation. Itās a shame!
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I guess the mistral model is out now so before long you can just use a self-hosted model that will be gpt-4 equivalent. I do wish that you didnāt have to import file context by default because it probably makes my api bill 2-3x higher. Actually spent 65$ last month on gpt-4 calls in cursor.
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I agree, I also have been noticing the same
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Ack, we are looking into this to see whatās going. If you can, screenshots are super helpful for helping us pin down the problem.
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If I may, though I donāt have a screenshot, but a lot of times, if I give it a function and ask it to refractor it to use a different framework in python, it only gives me an explanation of what needs to change instead of refractoring the function. If I am lucky and I give it 3 functions to refractory itās gonna do one function properly and have placeholders in the other 2 functions that basically say similar implementation to the first function. Speaking about python btw and this happens in the chat - Ctrl + L page.
Ditto, placeholders have gotten out of control, imho
Maybe we need a mode where gravity is full implementation?
Deployed a couple of changes yesterday the prompt prioritization that we think could have caused some of this. In the future, want to change the UI to give you a sense of what exactly went into the prompt.
If people have updated screenshots from the past day or two thatās super helpful in debugging any remaining issues.
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Iāve encountered a similar issue. Could you please review the post I just published? Noticed a regression in Cursor AI
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Is it just me? Or did the ādumbā effect go away? Iām guessing the gpt model got upgraded or something on openai side @truell20 ?
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