Image classification is old tech that existed long before ChatGPT and similar huge models became the new norm. These models are already embedded in many data flows and run within milliseconds on non-specialized hardware.
You were talking about 1B models. More modern image classification are in the mere millions. Yolo v10 has like 7M, MobileNet, which Google often uses, has around 4M parameters depending on the version. Image classification is not why there are data centers being built everywhere.
Camera apps, image and video filters and content moderation (the app in question) all use them for live processing. I can guarantee you this runs flawlessly on your phone unless it’s older than 10 years.
You’re employing AI guerilla warfare against pre-LLM technology. It’s not effective.
Image classification is old tech that existed long before ChatGPT and similar huge models became the new norm. These models are already embedded in many data flows and run within milliseconds on non-specialized hardware.
You were talking about 1B models. More modern image classification are in the mere millions. Yolo v10 has like 7M, MobileNet, which Google often uses, has around 4M parameters depending on the version. Image classification is not why there are data centers being built everywhere.
Camera apps, image and video filters and content moderation (the app in question) all use them for live processing. I can guarantee you this runs flawlessly on your phone unless it’s older than 10 years.
You’re employing AI guerilla warfare against pre-LLM technology. It’s not effective.