61–70 of 169 posts
Is there a way to test it online so that one doesn't have to resort to getting an API key and python code ?
Earlier quoted context omitted.
The obvious use case, especially on HN, is frontend dev of any kind at all. The second most obvious one is OCR of paper documents.
Frontend Dev? I do not really understand. do you let the models analyze the webpages you are working on? or for testing?
I really missed this feature when I had DeepSeek code a small game for fun. When writing UI and rendering code it could execute the game and get screenshots back, but then had to rely on my feedback on what had gone wrong. Models with vision can do much better here, finding more issues on their own
For what do you guys use vision in those models? surveillance is the obvious use case... but are there some "nicer" ways to use it?
DS being unable to precisely view Playwright screenshots is the only thing I really miss from Sonnet. This is promising. > Images are converted into tokens based on their dimensions, and these tokens are billed together with your text tokens. > Before inference, every image is automatically resized: > - Images with a total pixel count below roughly 384×384 are scaled up while preserving their aspect ratio. > - Larger…
Oof 800 by 800 kills a lot of use cases
For what do you guys use vision in those models? surveillance is the obvious use case... but are there some "nicer" ways to use it?
I've heard that DeepSeek v4 Flash 0731 has frequently assumed that it has vision capabilities and then resorts to inventing text-based image analysis tools when it finds that it actually can't see. In that case, this is a great upgrade for the model. Anecdotally, I had to tell 0731 to refrain from viewing screenshots since it kept breaking its sessions by trying to read images.
For what do you guys use vision in those models? surveillance is the obvious use case... but are there some "nicer" ways to use it?
For what do you guys use vision in those models? surveillance is the obvious use case... but are there some "nicer" ways to use it?
It makes running much, much longer feedback loops possible. Although you can mix and match non-vision and vision models simply by invoking a vision model when you need one, as I like to use non-vision models like glm-5.3.
For what do you guys use vision in those models? surveillance is the obvious use case... but are there some "nicer" ways to use it?
Also used it for 3d printer control once, had it diagnosing issues, calibrating my Tradrack MMU and canceling failed prints autonomously from a couple of cameras placed around the printer.