1 points | by sewyed 7 hours ago
1 comments
Hi HN,
This article started from a question that kept bothering me:
Most AI privacy discussions focus on protecting secrets — passwords, financial information, confidential documents, and similar data.
But what if the more interesting privacy problem isn't disclosure, but inference?
A single piece of information is often harmless. However, long conversations can reveal patterns that are more informative than any individual fact.
The article explores topics such as:
* Profiling * Shadow Profiling * AI inference * Cloud vs local AI * Long-term conversational context * Behavioral data economics
I tried to approach the topic from a practical perspective rather than a fear-driven one.
I'm particularly interested in hearing where you think the argument is wrong, incomplete, or missing important nuance.
Hi HN,
This article started from a question that kept bothering me:
Most AI privacy discussions focus on protecting secrets — passwords, financial information, confidential documents, and similar data.
But what if the more interesting privacy problem isn't disclosure, but inference?
A single piece of information is often harmless. However, long conversations can reveal patterns that are more informative than any individual fact.
The article explores topics such as:
* Profiling * Shadow Profiling * AI inference * Cloud vs local AI * Long-term conversational context * Behavioral data economics
I tried to approach the topic from a practical perspective rather than a fear-driven one.
I'm particularly interested in hearing where you think the argument is wrong, incomplete, or missing important nuance.