are ai products getting personalization wrong by relying mostly on chat history?

Reddit r/ArtificialInteligence News

Summary

The article questions whether AI products over-rely on chat history for personalization, noting its noisiness and suggesting that summaries, tags, and preference fields have shortcomings. It seeks alternative sources of truth for context without becoming intrusive.

i’m seeing a lot of ai apps treat chat history like it’s the whole user profile, and ngl that feels pretty thin. chat history helps, but it’s noisy. some chats are experiments, some are throwaways, some are for work, some are just me trying to debug one cursed thing at 1am. i tried summaries, tags, and lightweight preference fields. summaries drift, tags need maintenance, and preference fields only work if users remember to update them. the annoying bit is that good personalization needs context, but grabbing more context quickly starts feeling creepy or brittle. what are people using as the actual source of truth for ai personalization beyond chat logs?
Original Article

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