this post was submitted on 20 Aug 2026
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Eh? An LLM is a large language model. A language model would have no way to analyze an image. No matter the name assigned to it, it is literally impossible for it to be an LLM.
If you are misusing LLM to mean machine learning model, then… I mean stop using LLM because it’s just plainly incorrect.
There’s also the fact that current generation visual intelligence is image only. It doesn’t support video. Which makes a lot of sense, because streaming out high definition video would be quite the bandwidth requirement, and doing that constantly while someone is wearing AirPods would be insane.
The idea that cameras inherently imply recording is also kinda silly. Eye tracking in VR headsets use cameras, I promise that unless you do some hijinks those camera feeds are not recorded. Just like the camera on my robot vacuum, or the rear view camera on my car. All video recording requires cameras, but not all cameras require video recording.
They have to record to process the data. The recording may be limited to just living in the active memory, but it still records something in all those cases. The vaccuums even phone that data home; the most popular ones have been hacked numerous times, including one that let the hacker see other people's robot vacuum camera feeds live.
Recording inherently means saving. The exact definition includes the word “permanent”. Arguing that recording in this case means “the image data exists in memory” is a level of semantics that means literally nothing in this argument. Yes, we are all quite aware that the image data exists in one form or another when the camera is on. The question is, is it creating a recording, streaming that out, or handling the data locally and disposing of the data before it reaches permanent storage.