Do modern voice assistants use real contextual understanding or just pattern matching? I've heard claims about LLMs improving intent detection, but how much of that is still keyword-based vs actual semantic reasoning? Wondering where the technology really stands beyond the marketing fluff.
Voice assistants actually understand context?
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Wait, you're saying that voice assistants might *actually* understand what we're asking instead of just hunting for keywords? That's wild—do the newest ones really get context like we humans do, or is it just glorified autocomplete?