Capital de TokensLocal AI does not mean guaranteed privacy
Watch on YouTube “Can” is the right word. Running the model locally does not, by itself, guarantee privacy. You have to look at where the documents come from, what telemetry the software has, who can access the network, how logs are stored, and whether the device is properly protected. An assistant that processes confidential
“Can” is the right word. Running the model locally does not, by itself, guarantee privacy. You have to look at where the documents come from, what telemetry the software has, who can access the network, how logs are stored, and whether the device is properly protected. An assistant that processes confidential contracts may not send the text to a cloud provider, but it could still leave copies on unencrypted drives, in poorly configured backups, or in logs accessible to too many people. Nor should we sell privacy as if it were a vaccine against incorrect answers. A local model can invent references, misinterpret a clause, or reproduce biases just like one hosted elsewhere. In fact, for sensitive business tasks, the central challenge is not just where the model runs. It’s how it connects to reliable information, how it cites its sources, what permissions it has, and when it should answer “I don’t know.”
Full episode: https://youtu.be/X3VJs9Y5dR4
🤖 AI-generated content: the script, voices, and images for this episode were produced using artificial intelligence tools.
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