[rckt]

Why do you need LLM to interpret patterns?

[drdaeman]

> The researchers ran the audio and motion data through smaller models that generated text captions and class predictions, then fed those outputs into different LLMs (Gemini-2.5-pro and Qwen-32B) to see how well they could identify the activity.

Maybe I'm not understanding it, but as I get it, LLMs weren't really important: all they did was further interpreting outputs of a fronting audio-to-text classifier model.

[Lerc]

The same reason you need transistors to make computers.

You don't need them, but they are one way to do it that people know how to implement.

Identifying patterns is fairly amenable to analytic approaches, interpreting them, less so.

[nrhrjrjrjtntbt]

A better analogy is: same reason you need FPGAs to run x86 code. You dont, but if FPGAs are hot and good for your career you gonna use them.

[bigyabai]

To ensure you drank your Verification Can of Mountain Dew, of course.