Is gpt-4-1106-vision-preview also getting lazy

Hi Community,
I have a quick question. Since Openai has released a new GPT-4-Turbo model( gpt-4-0125-preview ), which solves the laziness problem, I was wondering if gpt-4-vision was also facing the same problem.
I was using gpt-4-1106-vision-preview for the chat application and suddenly sometimes it didn’t follow all the instructions, I changed the prompt multiple times, and it worked for some duration but again it stopped following all the instructions.

This sounds a bit like a temporary issue, could you provide some examples of this:

Exactly all new models are becoming a joke.

GPT4 Turbo can’t follow simple tasks. The image creation the same.


As you can tell from the name, that’s still the lazy denial machine.

Especially, it hasn’t been trained that it has vision, but has lots of fine-tune training on denying people the ability to look at and process images.

You need a robust system prompt that tells it all about its vision capabilities and what it can do with them. And then continues into providing fulfillment instructions where a user is being denied.

System instruction following is poor. In most cases you will want to let the user specify what the AI is supposed to do.


Noticed that sometimes Vision preview refused to actually read text from website-screenshots. This didn’t happen before. I managed to work around this with some prompt-magic, but it’s weird nonetheless.

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Suddenly, I am experiencing issues with gpt-4-1106-vision-preview. a lower level of data accuracy than I had with that model early days. How i fix that?

Might be asking too much of the model within a single request and without using seeds. Your responses can vary. Usually, it is best to chain your requests in my experience.