Descriptions:
Full post with a guide to clean sensitive documents: https://natesnewsletter.substack.com/p/run-ai-offline-private-files?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
How to use AI on the files you can’t upload: run a downloaded model on your own laptop, with the internet off, and grade what’s actually safe to send. Microsoft is building this for enterprises. This is the version that fits on one machine.
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What’s really happening with AI and the data you can’t put in the cloud?
The common story is that private AI means a bigger enterprise contract. The real question is which of your files ever needed to leave your laptop at all.
In this video, I share the inside scoop on running AI locally on sensitive work:
– How to run a downloaded model on a document with the internet off
– What Microsoft, Bayer, and Discovery Bank do with data they can’t upload
– Why a model can obey while the product still uploads your file
– Why “free” open-weight AI can still deepen your dependence on Microsoft
You can finally put AI on your most sensitive work, but only if you stay honest about where the file goes and who you now depend on.
Chapters:
00:00 The offline proof
00:49 Discovery Bank and Bayer go private
02:21 Do the small version on your laptop
03:13 The Grok Build leak
04:19 LM Studio and the sensitivity preset
05:41 What the offline model caught
07:19 How Microsoft does it with LoRA
10:05 For leaders: enterprise versus SMB
11:40 The catch: dependence on Microsoft
12:28 Open source is not automatically free
13:40 Get the guide
Listen to this video as a podcast.
Spotify: https://open.spotify.com/show/0gkFdjd1wptEKJKLu9LbZ4
Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-news-strategy-daily-with-nate-b-jones/id1877109372
