u/spupuz

I have been putting the new Gemini Pro 3.1 LOW through its paces lately and honestly I am genuinely impressed.

For my daily workflow, which involves a mix of heavy technical tasks, coding, and general research, this model has been hitting a sweet spot I did not think was possible. The speed is good but the real kicker is the stability. I have not hit a refresh rate higher than 5 hours since I started using it, even with a constant stream of complex queries.

It feels like they finally nailed the balance between raw processing power and resource management. I am able to get everything I need done without the model choking up or needing a reset, which is a massive quality of life upgrade for someone who hates workflow interruptions.

Has anyone else noticed this level of consistency with the 3.1 LOW build? Or am I just having an unusually lucky streak?

Would love to hear how it is holding up for your specific use cases.

Chat history in workspaces still does not work!! (Workspaces = multiple github repository open at the same time)

I was never been able to make it work, any suggestion?

Chat history in workspaces still does not work!! (Workspaces = multiple github repository open at the same time)

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I was never been able to make it work, any suggestion?

I cancelled my subscription since the new IDE came out and the model changes and merging for refresh rates My subscription expires on June 8th..

it's an entire weekthat I only develop with Gemini pro 3.1 low and I do enough but it only always refreshes for 5 hours. Normal? I'm getting the urge to try to reactivate.

Ciao a tutti! Sono Alessandro e abito zona Milano.Sto lavorando a VibeNVR, un progetto open source e self-hosted per la videosorveglianza locale, pensato per chi vuole tenere tutto sotto controllo senza cloud o abbonamenti.

Se vi interessa, potete dare un’occhiata al sito: vibenvr.org e al codice su GitHub: github.com/spupuz/VibeNVR

Grazie agli admin per la concessione.

Spero possa essere interessante mi piacerebbe avere qualche tester ulteriore e se qualcuno fosse interessato sono aperto anche a pr.

I've been building VibeNVR, a self-hosted open-source NVR for IP cameras, and the v1.28.x releases finally bring two things I know a lot of HA users care about:

**Native MQTT with Home Assistant auto-discovery** – cameras, motion events and AI detections are automatically exposed as entities in HA with no manual YAML. Just point VibeNVR at your MQTT broker.

**Multi-model AI detection** – choose between YOLOv8 (high accuracy) or MobileNet SSD (faster, lighter). Works with Google Coral TPU or in Lean Mode on standard hardware with no accelerator.

Other things it does:

- Runs 100% locally via Docker Compose, no cloud, no subscriptions

- RTSP dual-stream (sub-stream for live view, main for recording) — saves 80% bandwidth/CPU on the live grid

- ONVIF support for auto-discovery of compatible cameras

- Role-based access control

- Timeline with motion/event filtering

It's a personal project, fully open source, actively maintained. Happy to answer questions.

GitHub + docs: https://vibenvr.org