In r/computervision, builders debate whether Claude Opus can replace classic CV pipelines, with several arguing LLMs help most with model selection and task decomposition while dedicated models still win on accuracy and latency.
Everyone's wondering if LLMs are going to replace CV workflows. I tested Claude Opus 4.6 on a real segmentation task. Here's what happened.
I have seen VLA models being demolished by models meant to do the specific task (both in terms of latency and accuracy) for example object detection.
My takeaway: LLMs aren't coming for CV engineers' jobs, they're coming for the reasoning part of the workflow. The model selection, the pipeline logic, the task decomposition.
This finding is one of many signals tracked across Artificial Intelligence. The live feed updates every few hours with new expert voices, debates, and emerging ideas.
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