[–] 3 points 3 days ago* (last edited 2 days ago)

In the order they appear in my Droid-ify, not in the order of fun or depth, etc.:

https://f-droid.org/packages/com.unciv.app/

https://f-droid.org/packages/com.resurrection.blowtorch2/

https://f-droid.org/packages/me.lecaro.breakout/

https://f-droid.org/packages/net.minetest.minetest/

https://f-droid.org/packages/org.broguece.game/

https://f-droid.org/packages/com.dozingcatsoftware.bouncy/

https://f-droid.org/packages/org.develz.crawl/

https://github.com/TrashboxBobylev/Summoning-Reincarnated

https://github.com/TrashboxBobylev/Rat-King-Adventure

I've played and keep playing all these games, some more than others. The last two are not on fdroid yet, but they are foss and amazing.

BlowTorch is for mudding, and mudding is deep, mature, highly active, and free.

P.S.: Oooooopssss!! Forgot one of my all time faves, goddamnit. Here it is:

https://github.com/cataclysmbnteam/Cataclysm-BN

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  • [–] 2 points 3 days ago* (last edited 3 days ago) (1 child)

    Yeah, 27B only usable if you can fit it entirely in VRAM. Only MoE models are fine to split, like the mentioned Qwen 3.8 Flash Next. Even though it's large, only the active 6B parameters needs to be located in VRAM, the rest can be in RAM and SSD.

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  • [–] [S] 2 points 3 days ago* (last edited 3 days ago) (2 children)

    Update: you were right. Qwen3.8 27B (unsloth UD-IQ3_XXS) did the calculator task correctly (1234Γ—5678 = 7,006,652), but took 18 minutes on my 8 GB card, almost all of it reading the prompt and screen on the CPU.

    Qwen3.5 9B is the interesting one: one run typed the wrong numbers and claimed success, the next did it right in about 2 minutes. So small models can do it, just not reliably yet.

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  • [–] [S] 2 points 3 days ago

    I did appeal. Google's answer, word for word: "the app utilizes the accessibility API for performing autonomous actions... The accessibility API is not designed and cannot be requested for performing autonomous tasks." So the problem was the agent acting on its own, not which AI services it uses.

    The accessibility-tool exception is only for apps built mainly for people with disabilities. Buddy can help there, but it does a lot more, so claiming that wouldn't be honest. If anyone has gotten an agent app like this through review, I'm open to trying again.

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  • [–] 6 points 3 days ago

    deep gameplay, challenge, real progression (any genre welcome β€” strategy, roguelike, RPG, racing, puzzle…)

    That's a challenge for open source games in general even more so on Android. I can only think of Mindustry which was mentioned before.

    Maybe consider to set up a Linux container, similar to what DeckDroid offers for SteamOS.

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  • [–] 2 points 4 days ago (3 children)

    I have used a CGM for years now, but I don't know all of the models - only a few of them. In my experience most of the time the manufacturer offers some kind of cloud service to store your data (given your cousin is using a device that is capable of transmitting said data) and there are free to use services like Glooko (it's the one I use - there are others) you can connect different devices to store and visualize these data. It helps a lot exploring patterns and finding ways to improve my therapy.

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  • [–] 2 points 4 days ago* (3 children)

    It's is expected, they're small models. But something like Qwen 3.8 27B or Qwen 3.8 Flash Next should handle it.

    How much VRAM do you have? If it's a 12GB card and you also happens to have 64 GB of RAM, you should be able to run Qwen 3.8 Flash Next with Q3. It's one of the most "hyped" local models right now (because it's quite capable and has somewhat realistic HW requirements).

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  • [–] [S] 2 points 4 days ago

    It can now: since 2.2.25 it works with your own model server (Ollama, LM Studio or llama.cpp) on your network or over Tailscale, with no key, and nothing goes to an AI company. Honest caveat: small models (4–8B) handle simple requests but fumble multi-step tasks on the screen, so you'd want a bigger model for real use.

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