EF Core documentation disagrees though: https://learn.microsoft.com/en-us/ef/core/querying/single-sp...

Interesting, tried this game just 2 weeks ago and beat one of the pve modes with a friend just yesterday.

Joined some 8v8 for noobs and some were very friendly but they also wanted to kick me for not knowing the game. After all they let me stay but I stuck to pve or vs bots with friends now

Before opus released we also saw huge backlash with it being dumber.

Perhaps they need the compute for the training

I’ve used a lot of cloudflare functionality with Claude and their API. Worked very good

Interesting, care to elaborate?

Just for info, this is the big hike i received for my dedi.

Previous price: € 31.90

New price as of 1 April 2026: € 32.86

Mine is €34.51 to €35.55 (a 3% increase).

When the phone is locked, and you swipe from the bottom and upwards, you have the camera on the bottom right on the lock screen.

Putting your finger there while swiping up triggers the camera.

So for me I get this green dot every time I unlock my phone which is very annoying and feels like a privacy issue.

Oh... You're totally right. I was just able to reproduce this.

Maybe that's the reason I sometimes get a green dot when I am unlocking my phone.

Tyvm for sharing this. IIRC, it's possible to change the camera icon in the lock screen to something else. Since I never use this button (I am one of those weirdos that use the camera control button instead), I think I'll change to something else.

Frigate, Doubletake + Compreface is 100% local

Person you're replying to mentioned Frigate+ which is the paid subscription option offering the ability to upload images to their servers in order to further train the models to get better accuracy, so no longer 100% local.

Maybe you're suggesting that using two additional tools in combination with the free version of Frigate brings its quality up on par with that of an extra-trained Frigate+? If that's so it would be great if you could say that and elaborate how so / why, rather than just dropping in some new tool names and no explanation as to how/if they address GP's points. (Thanks in advance if you do come back and explain.)

Edit: I just looked into Doubletake + Compreface, seems they're both facial recognition tools, so using them wouldn't overcome the problem GP commenter reported that Frigate without Frigate+'s additional training doesn't do a good enough job of general object tagging for them?

Neat, I currently use Frigate with Doubletake and Compreface for facial recognition. Perhaps I can simplify it a bit

I also ran Doublestake and Compreface with Frigate. Found out that it didn't really provide any benefits for me. The default native person detection in Frigate using the TPU is more than adequate. I've seen some interesting stuff people have done using a mix of locally hosted LLM vision model with Home Assistant and Frigate to do image interpretation. Including facial recognition and License plate reader. It's something I want to eventually explore.

Can you elaborate, what kind of trouble did the Tapo cameras create?