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    Nautilo reportedly pairs shared AI control with privacy-based model routing

    Posts outlining Nautilo say users can watch, interrupt or take over from its Genie AI in shared apps—or let it work in the background.

    Daniel JeffriesDJ
    1 Source, 20d ago, first seen 20d ago

    TLDR

    Posts outlining Nautilo say Google Docs, Slides and Sheets open inside the app, alongside a terminal and Chrome browser that users can control together with its Genie AI. Nautilo also assigns models privacy ratings from 1 to 10. According to the overview, sensitive subtasks can route to the most private model available, including private Venice models and an end-to-end encrypted trusted-execution model rated 10. The author says support for local models and private inference on users’ own GPUs is in development.

    Combined views

    805

    1 Source, first seen 20d ago

    Combined views

    805

    1 Source, first seen 20d ago

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    5 likes
    1 comments
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    1 comments
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    Sentiment

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    1 Source

    Daniel Jeffries@Dan_Jeffries110/ Privacy also follows the work to the model. Nautilo rates models from 1 to 10 for privacy. Sensitive subtasks can route to the most private model available, including private Venice models and an E2EE trusted execution model rated 10. We have deep Venice AI integration (think VPN for models) building on the work of privact rockstars like @ErikVoorhees and @AskVenice: https://docs.venice.ai/models/overview Not every thought belongs in a hyperscaler's API. The system should be smart enough to know the difference. We're already working on local model support and support for private inference, running on your own GPU brains for complete privacy over your company's and family's projects and life.20d

    1 Source

    Daniel Jeffries@Dan_Jeffries110/ Privacy also follows the work to the model. Nautilo rates models from 1 to 10 for privacy. Sensitive subtasks can route to the most private model available, including private Venice models and an E2EE trusted execution model rated 10. We have deep Venice AI integration (think VPN for models) building on the work of privact rockstars like @ErikVoorhees and @AskVenice: https://docs.venice.ai/models/overview Not every thought belongs in a hyperscaler's API. The system should be smart enough to know the difference. We're already working on local model support and support for private inference, running on your own GPU brains for complete privacy over your company's and family's projects and life.20d

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.