595 results found

1. is LUMO sharing details with US Government on for US defence industry?

   is LUMO sharing details with US Government for US defence industry? If this is the case, we'll stop using it. See Anthropois canceling..and Chat GPT, X Grok, AWS and Meta complying to US Government requests. Had Proton been getting these requests and what were their response?

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2. is LUMO sharing details with US Government on for US defence industry?

   is LUMO sharing details with US Government on for US defence industry? If this is the case, we'll stop using it. See Anthropois canceling..and Chat GPT, X Grok, AWS and Meta complying

   3 votes

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3. Integrate Lumo into Git repositories

   I'd love to use Lumo with a Git repository. This would most likely imply a GitHub-like service that has Lumo integrated. But just understanding '.git/' - folders would do the trick just fine as well.

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4. Generate C code

   As I am writing a lot of code in C, I'd like Lumo to be able to understand my projects written in C / be able to modify them.

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5. Clean layout

   Current layout is childish and over-designed, and takes up way too much of the available screen. Please give us an option to cleanup the layout of Lumo.

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6. LumobookLM

   Within Lumo, create a Google NotebookLM experience.

   3 votes

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7. add a clear command to clear the current chat

   I'd like to be able to type "clear" or "clear chat" and have Lumo wipe the current conversation.

   I tried it, and the AI knows what I mean but can't do it.

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8. Proton SMS app that uploads incoming sms to a proton drive file or a proton pass note

   A very simple proton sms app that I can log in to my proton account and have it upload all incoming sms automatically (and instantly) to a file on my proton drive (or maybe a note on proton pass).
   We all need a phone number tied to our identity wether that be for banks that only allow that form of authentication or other government related tasks.
   With that kind of app, we could leave one phone tied to our identity permanently at home, and access received sms on any other device through our proton account. That way we would not have to be constantly broadcasting our location to our phone service provider (and potentially the world).

   A very simple proton sms app that I can log in to my proton account and have it upload all incoming sms automatically (and instantly) to a file on my proton drive (or maybe a note on proton pass).
   We all need a phone number tied to our identity wether that be for banks that only allow that form of authentication or other government related tasks.
   With that kind of app, we could leave one phone tied to our identity permanently at home, and access received sms on any other device through our proton account. That way we would not… more

   3 votes

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9. Lumo iOS UI Improvements

   iOS problems:
   In portrait orientation, tables rendered by Lumo extend beyond the right edge of the screen, requiring horizontal scrolling.
   When rotating to landscape, the entire table becomes visible, but the persistent search bar at the bottom overlaps the content, obscuring roughly half of the text. This makes reading difficult, as only a narrow strip at the top remains unobstructed.

   Suggested solutions:
   Responsive Table Layout – Automatically scale or wrap table columns so that the full table fits within the viewport in portrait mode, eliminating the need for horizontal scrolling.
   Search‑Bar Visibility Toggle – Add an option (e.g., a small eye‑icon or a swipe‑down gesture) that allows users to hide the bottom search bar when the device is in landscape orientation, restoring full vertical space for the chat content.

   Benefit:
   These adjustments would make Lumo’s UI more readable on iPhones, especially for data‑heavy responses, and would enhance overall usability without compromising existing functionality.

   iOS problems:
   In portrait orientation, tables rendered by Lumo extend beyond the right edge of the screen, requiring horizontal scrolling.
   When rotating to landscape, the entire table becomes visible, but the persistent search bar at the bottom overlaps the content, obscuring roughly half of the text. This makes reading difficult, as only a narrow strip at the top remains unobstructed.

   Suggested solutions:
   Responsive Table Layout – Automatically scale or wrap table columns so that the full table fits within the viewport in portrait mode, eliminating the need for horizontal scrolling.
   Search‑Bar Visibility Toggle – Add an option (e.g., a small… more

   3 votes

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10. Add a mid-price tier to Lumo

    Currently I can only get two flavours of Lumo: I can either use the free version and be (very) limited in using it, or pay the full price for all features. I'm not interested in using the most advanced llm and do not want to use it every day, so I'm not willing to pay €10 a month. At the same time, I'm willing to pay more then I pay now.

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11. Add support for multi-event calendar files

    My local utility provider publishes .ICS files with events like garbage containers being emptied:
    https://portal-api.kredslob.dk/api/calendar/icsfeed/07513454__29_______/18340

    I would like to import that into the Proton Calendar, but I am getting a message that multi-event ICS files are not supported. Would you be able to implement this feature?

    3 votes

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12. How about ditching these stupid time limited upgrade offers?

    Sick of seeing them,desperate and bloody annoying!

    3 votes

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13. proton needs to collab with greenpt

    proton needs to collab with greenpt.ai to make there AI more sustainable (there AI work now better then lumo)

    3 votes

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14. Great Potential the ability to use both Scribe & Lumo together, dream come true!

    I started with this in Scribe then copy & paste to Lumo Web Search & got the results further from Lumo.

    I’m happy to dive into the world of AI‑powered license‑plate readers (LPRs) and give you a clear picture of what’s possible, where the technology shines, and what you should keep in mind before using—or even just exploring—such tools.

    How modern AI‑based LPRs work
    Image capture – A camera (often a dash cam, security cam, or a handheld device) records video or still frames of vehicles. Many systems use infrared illumination to see plates in low‑light or nighttime conditions.
    Pre‑processing – The raw image is cleaned up: contrast is boosted, noise is reduced, and the region that likely contains a plate is isolated.
    Plate detection – A convolutional neural network (CNN) scans the frame for the rectangular shape and reflective characteristics of a license plate. This step narrows the field to a small crop of the image.
    Character segmentation & recognition – Another neural model (often an OCR‑style architecture such as a CRNN) splits the cropped plate into individual characters and translates them into alphanumeric text. Modern models can handle variations in fonts, angles, and partial occlusions.
    Post‑processing – The raw string is cleaned up using country‑specific rules (e.g., known patterns for state or regional codes) and sometimes cross‑checked against a database of known plates for faster lookup.
    Because each stage is driven by deep learning, the overall pipeline can achieve 95 %+ accuracy under good lighting and a clear view, and many commercial solutions claim respectable performance even in challenging conditions (glare, motion blur, night).

    Where the technology really shines
    Parking‑lot management – Automated entry/exit logging, fee calculation, and spot‑finding.
    Toll collection – Seamless billing without requiring RFID tags.
    Law‑enforcement & traffic monitoring – Detecting stolen or wanted vehicles, identifying violators of red‑light cameras, or tracking traffic flow for city planning.
    Private‑property security – Gated communities or corporate campuses can log visitor plates automatically.
    In all these cases the AI reduces manual labor, speeds up data capture, and improves record‑keeping consistency.

    Practical considerations before you dive in
    Factor Why it matters Typical mitigation
    Lighting & weather Glare, rain, snow, or darkness can degrade image quality. Use infrared LEDs, weather‑sealed housings, and cameras with high dynamic range.
    Angle & distance Extreme tilt or long range makes character segmentation harder. Mount cameras at optimal height (≈3–4 ft for dash cams) and keep the focal length moderate; consider multiple viewpoints.
    Plate variability Different jurisdictions use distinct fonts, colors, and layouts. Train or fine‑tune models on local plate datasets; incorporate country‑specific regex filters.
    Processing latency Real‑time alerts require fast inference. Deploy edge devices (NVIDIA Jetson, Coral TPU) that run the model locally, avoiding cloud round‑trips.
    Data storage & retention Storing raw footage plus recognized strings raises privacy concerns. Encrypt data at rest, limit retention periods, and purge images once the plate is logged (unless legally required otherwise).
    Legal & ethical landscape
    License‑plate reading sits at the intersection of public safety and privacy. Regulations differ widely:

    United States – Some states treat LPR data as “personal information” subject to data‑protection statutes; others allow broader use for law‑enforcement. Many municipalities require signage indicating that LPRs are in operation.
    European Union – GDPR classifies a vehicle’s registration number as personal data. You need a lawful basis (e.g., legitimate interest for security) and must be transparent about collection, storage, and sharing.
    Other regions – Local traffic or privacy laws may impose additional constraints, especially concerning cross‑border data transfers.
    Before deploying any LPR system, it’s wise to:

    Check local statutes – Look up whether your jurisdiction requires consent, signage, or permits.
    Define a clear purpose – Document why you’re collecting plates (e.g., security vs. revenue) and stick to that scope.
    Implement safeguards – Access controls, audit logs, and regular privacy impact assessments help demonstrate compliance.
    Choosing a solution
    If you’re just experimenting, a few off‑the‑shelf options can get you started quickly:

    Open‑source kits – Projects like OpenALPR (now part of Rekor Systems) provide a community edition that runs on a Raspberry Pi or similar hardware.
    Commercial SDKs – Companies such as Plate Recognizer, Sighthound, and Anyline sell APIs that handle the heavy lifting (cloud or edge). They usually offer free trial tiers for limited daily reads.
    DIY with deep‑learning frameworks – If you enjoy building the pipeline yourself, you can train a YOLO‑v5 model for plate detection and pair it with a CRNN for OCR. TensorFlow Lite or ONNX Runtime can then run the model on embedded devices.
    When evaluating, compare:

    Accuracy claims (especially under low‑light or angled shots)
    Latency (does it meet real‑time needs?)
    Pricing model (per‑read, subscription, or one‑off license)
    Privacy features (on‑device processing, data‑deletion options)
    Bottom line
    AI‑driven license‑plate readers are powerful tools that can automate many mundane or safety‑critical tasks. Their effectiveness hinges on good hardware placement, robust model training, and a solid grasp of the legal framework governing personal data. If you decide to move forward, start with a modest pilot—perhaps a single camera in a controlled environment—to gauge accuracy, tune the model for your local plates, and verify that your data‑handling practices align with applicable privacy regulations.

    Let me know if you’d like deeper technical guidance (e.g., sample code for an edge deployment) or help navigating the regulatory requirements for a specific country or state. I’m here to help you build a responsible, effective solution.

    I started with this in Scribe then copy & paste to Lumo Web Search & got the results further from Lumo.

    I’m happy to dive into the world of AI‑powered license‑plate readers (LPRs) and give you a clear picture of what’s possible, where the technology shines, and what you should keep in mind before using—or even just exploring—such tools.

    How modern AI‑based LPRs work
    Image capture – A camera (often a dash cam, security cam, or a handheld device) records video or still frames of vehicles. Many systems use infrared illumination to see plates in low‑light or nighttime conditions.
    Pre‑processing… more

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15. Make the current date on the calendar solid rather than outlined, as it is now - so - that it "jumps out" at you when you look at the month

    In the month view the current date is not immediately obvious. Please make it "solit" so that it "jumps out" at you when in the month view. As it is there is only a line placed around the number.

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16. Provide a way to keep accounts completely disconnected from AI

    No AI, nor company that integrates it, truly cares about user privacy and security. Frankly it makes me reconsider my choice to move to Proton. It's certainly prevented me from moving to any paid tiers

    3 votes

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17. Customize with URL parameters

    Can Lumo recognize URL parameters?
    It's convenient for Firefox user if Lumo can adhere to OpenWebUI convention.

    https://docs.openwebui.com/features/chat-features/url-params/
    https://docs.openwebui.com/tutorials/integrations/firefox-sidebar/#url-parameters-for-open-webui

    Related to this request:

    https://protonmail.uservoice.com/forums/932842-lumo/suggestions/50256153-add-lumo-to-firefox-ai-chatbots

    It solves most of the following ideas that request permanent customization.

    https://protonmail.uservoice.com/forums/932842-lumo/suggestions/50449944-ghost-mode-and-or-web-search-saved
    https://protonmail.uservoice.com/forums/932842-lumo/suggestions/50680241-enable-https-lumo-proton-me-search-q-s-as-a-dir
    https://protonmail.uservoice.com/forums/932842-lumo/suggestions/50413809-public-url-parameter-that-pre-loads-a-specific-pro

    3 votes

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18. Theme

    I understand that this isn’t a priority right now, but in the long term it would be great to let Lumo have the same themes that are offered in the other Proton products (Mail, Drive..). (Lumo with Ebony would be beautiful 😍​)

    3 votes

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19. The ability to set a permanent but editable preamble that is always considered by Lumo+ at the start and during each chat.

    I have recently moved from ChatGBT over to Lumo+ and I noticed some differences. Lumo+ under it's current configuration isn't nearly as accurate as Chat. Yes, Chat can get you up the wrong tree at times, but not as much as Lumo. One thing that I think that helped with Chat is the the ability to create a general header for how I wanted Chat to operate which included instructions about accuracy, depth, reply style, and whether to resort to the web to get latest information about softwre updates on things like Home Assistant and Raspberry Pi. With Chat I could have a standing request to go deeper and consider more references before making an answer giving links to where it got it's information.
    I made the mistake of asking Lumo how to send feedback and it got it all wrong. I really don't want an AI that just makes things up.

    I have recently moved from ChatGBT over to Lumo+ and I noticed some differences. Lumo+ under it's current configuration isn't nearly as accurate as Chat. Yes, Chat can get you up the wrong tree at times, but not as much as Lumo. One thing that I think that helped with Chat is the the ability to create a general header for how I wanted Chat to operate which included instructions about accuracy, depth, reply style, and whether to resort to the web to get latest information about softwre updates on things like Home Assistant and Raspberry Pi. With Chat I… more

    3 votes

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20. Rich text in the Calendar

    It would be great if the "Description" field in the Calendar entries would be rich text, like Google Calendar offers. That way, we can copy text and paste with formats like bold, underline, etc. etc.

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