90 results found

1. Lumo crashing on Android with No Google Play Store

   Hi team. great work on launching lumo. on my android phone with no google playstore and only google play services running with limited access and internet access blocked by firewall, the lumo app crashes after a delay of a few seconds.

   The error reads
   'Something went wrong.
   Check that Google Play is enabled on your device and that you're using an up-to-date version before opening the app...'

   all other proton apps work fine on my phone

   2 votes

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2. Lumo Branding / Design

   Lumo Logo / Branding / Design

   Suggesting an overhaul of logo-design and alignment with the Proton Product family.

   As a huge Proton fan and customer of many years I frequently wonder about design choices at Proton.
   This looks like a very early idea has escaped the lab, made it to market and took off prematurely.

   Who exactly is the Lumo cat character branding supposed to address?

   Kids / pre-puberty adolescents?

   Can that really be the primary market for the company's flagship AI product?

   Maybe there were some kids involved with the design perhaps?
   It would explain the lack of continuity and cohesion in the design language
   with the Proton suite of products.

   Maybe someone should think this through again.

   Maybe someone a little older.

   This is really not very serious.

   Lumo Logo / Branding / Design

   Suggesting an overhaul of logo-design and alignment with the Proton Product family.

   As a huge Proton fan and customer of many years I frequently wonder about design choices at Proton.
   This looks like a very early idea has escaped the lab, made it to market and took off prematurely.

   Who exactly is the Lumo cat character branding supposed to address?

   Kids / pre-puberty adolescents?

   Can that really be the primary market for the company's flagship AI product?

   Maybe there were some kids involved with the design perhaps?
   It would explain the lack of continuity… more

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3. Add “Auto‑Enable Web Search” Setting for Lumo Chats

   Introduce a new option in Lumo’s Settings—“Auto‑Enable Web Search” (or a similarly named toggle). When activated, Lumo would automatically turn on the web‑search capability at the start of every new conversation, eliminating the need for users to manually enable it for each chat session.

   Why This Matters:

   • Seamless Experience: Users who rely on up‑to‑date information can get instant, real‑time answers without an extra step, making interactions feel more natural and efficient.

   • Consistency: Guarantees that all chats benefit from the latest data, especially for topics that change frequently (news, weather, stock prices, etc.).

   • Time Savings: Reduces repetitive actions for power users and those who frequently switch devices or start new threads.

   • Clear Control: The toggle remains user‑controlled, allowing privacy‑focused individuals to keep web search disabled if they prefer a purely offline Lumo experience.
     Suggested Implementation Details

   • Default State: Off by default to preserve the current behavior and respect user privacy expectations.

   • Indicator: Show a subtle icon or badge in the chat window when auto‑search is active, so users know the feature is enabled.

   • Per‑Session Override: Allow users to temporarily disable web search for a specific chat via the existing manual control, without affecting the global auto‑enable setting.
     Potential Benefits

   Improves user satisfaction for those who regularly need current information.
   Aligns Lumo’s functionality with the expectations set by other AI assistants that automatically leverage live data.
   Encourages broader adoption of Lumo Plus, where web search is a premium feature, by showcasing its convenience.

   Introduce a new option in Lumo’s Settings—“Auto‑Enable Web Search” (or a similarly named toggle). When activated, Lumo would automatically turn on the web‑search capability at the start of every new conversation, eliminating the need for users to manually enable it for each chat session.

   Why This Matters:

   • Seamless Experience: Users who rely on up‑to‑date information can get instant, real‑time answers without an extra step, making interactions feel more natural and efficient.

   • Consistency: Guarantees that all chats benefit from the latest data, especially for topics that change frequently (news, weather, stock prices, etc.).

   • Time Savings: Reduces repetitive actions for power users… more

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4. starting over from the beginning is annoying

   It's very annoying to have to scroll to pick up where I left off in a long chat. Please revert to the way things were before or add a setting for those who want to start the chat from the beginning.

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5. 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)

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6. 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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7. New Zealand Calendar Public Holidays.

   Add New Zealand as an option in calendar to add public holidays.

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8. In Lumo, re-label the entry box as "Question or Response", as it has to be used to respond to choices offered by the search.

   In Lumo, re-label the entry box as "Question or Response", as it has to be used to respond to choices offered by the search.

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9. Link to Lumo app on a F-Droid, .apk (Github)

   Since Google Play is not private, it should not be a big deal for a privacy company (Proton) to publish link to a Lumo Android .apk and a Github repository at https://lumo.proton.me/download and at https://protonapps.com (if that is official source). Also I would welcome F-Droid link.

   There is a Github repo at https://github.com/ProtonLumo/android-lumo but the parent user shows no signs of validation as a official Proton AG account, despite Lumo claims there should be some check-mark on the user page.

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10. Personalization bug in Lumo

    Thank you so much for adding personalization into Lumo! This was the main reason for me to not use it until now. Meanwhile, the personalization only applies to the first response. All next one doesn't include it, and same when regenerating.

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