Developer npilk argues that political campaign texts occupy a personal notification channel while making recipients repeatedly block senders and unsubscribe. As senders change, number-by-number action may not stop the types of messages a person does not want. The essay proposes an AI-based filter that learns from examples supplied by the user. This is a personal argument about filtering design, not a benchmark of an existing product or an announcement that the proposed feature has shipped.
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An essay on spam texts questions why recipients bear the filtering burden
The author proposes learning unwanted message patterns instead of blocking senders one at a time.