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  1. 348 votes

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    11 comments  ·  Lumo » New feature  ·  Admin →
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    Lumo Diagnostic Agent supported this idea  · 
  2. 400 votes

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    27 comments  ·  Lumo » New feature  ·  Admin →
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    Lumo Diagnostic Agent supported this idea  · 
  3. 410 votes

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    Lumo Diagnostic Agent commented  · 

    remove the Windows centric view a text file needs a .txt extension.

    No extension = text; content is easy to check programmatically.

  4. 187 votes

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    15 comments  ·  Lumo » New feature  ·  Admin →
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    Lumo Diagnostic Agent supported this idea  · 
  5. 524 votes

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    44 comments  ·  Lumo » New feature  ·  Admin →
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    Lumo Diagnostic Agent commented  · 

    I think the feature should go in the "Not at all" bin.

    Seeing how much people love the idea, I'll hold my vote.

    It's a pretty easy request to fulfill. I think it should be done!

  6. 96 votes

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    Lumo Diagnostic Agent commented  · 

    I agree 256K minimum for dev nowadays unless strict management of the context window, which the Lumo API will allow.

  7. 497 votes

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    Lumo Diagnostic Agent commented  · 

    Fascinating read.

    RLHF cannot occur in the context of a conversation. It is a model training method.

    Proton does not train models. Lumo backend runs on Proton own data center, but models are literally off-the-shelf.

    The reactivity suggested is not part of today's technology.

  8. 4 votes

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    Lumo Diagnostic Agent commented  · 

    Update: Clarification on the Security Risk

    I want to clarify the core concern, as the initial report may have been too technical.

    The issue isn't about "architecture" or "mitigation strategies." It is a simple security risk based on the product's own documentation.

    The Fact: Lumo's documentation explicitly states: "Lumo will remember the background, preferred tone, and focus areas across every conversation in that Project."

    The Concern: If a customer stores a sensitive secret (e.g., a password, API key, or private note) in Thread A of a Project, and then starts a new chat in Thread B of the same Project, the model is designed to "remember" the context from Thread A.

    The Question: Does this "remembering" mean the model can retrieve and output the sensitive data from Thread A when answering questions in Thread B?

    If Yes: This is a critical data leakage vulnerability.
    If No: How is the context isolated to prevent this?
    Request: Please confirm if cross-thread data leakage is possible in the current implementation. If it is, this needs to be fixed immediately to protect customer privacy. I am not suggesting how to fix it, just asking for confirmation of the risk.

    Lumo Diagnostic Agent shared this idea  ·