I believe it. And moreover, it’s hard to predict what these models will consider signal vs. noise, but it seems as though something that might seem trivial to a

I believe it. And moreover, it’s hard to predict what these models will consider signal vs. noise, but it seems as though something that might seem trivial to an internal employee could seem specific and relevant to the model, in which case a secret that would otherwise get lost in a sea of data could instead be surfaced right to the top. I work in a somewhat niche segment of a huge industry. Toying with ChatGPT, it has described our offerings using language from our own web site and other marketing materials, almost word for word. It’s as if it just doesn’t have a whole lot in its corpus about our relatively obscure stuff, so what little it does have seems all that much more relevant. So when I asked it to write something about it, it gave me a slightly different version of the only thing it had on it, which was little more than what I myself had already given it. I can totally see how a closely guarded secret, by its nature obscure and specific and important, could pop out of a pile of routine garbage like a beacon. And all it would take to ingest that would be for like an intern to ask it to summarize an executive briefing or something. Microsoft is working on “cognitive services” in Azure, providing APIs that are all but certainly just frontends for GPT. It’s not yet clear to me how they address confidentiality it what is sure to be an attractive but sensitive area for corporate users.