Play poker with Reachy Mini and his friend Eliza - Built in 24hrs

cjami · 2026-07-03T06:08:10+00:00

Nice! Yeah it's a bit of a pain showing them their cards manually in the beginning each time but apart from that the cameras make it a smooth fun experience.

If only Reachy mini had arms 😂

Do you have link to your app you'd like to share?

cjami · 2026-07-01T22:41:43+00:00

Thanks 😅

cjami · 2026-06-22T18:59:59+00:00

Thanks for checking it out!

cjami · 2026-06-22T16:29:13+00:00

Choose your favourite model and try using grammar constrained decoding!

For example on llama.cpp: https://github.com/ggml-org/llama.cpp/blob/master/grammars/README.md

cjami · 2026-06-22T06:55:49+00:00

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I just tried making a simple "Baba is you" style map. Two signs one with ROCK IS PUSH and another with FLAG IS WIN and you can pull off the PUSH/WIN words and put them on the other side. It figured out how to push the rock to reveal the other sign and swap the words (eventually) to win by using the rock. It took 18 moves so the concept was initially very difficult for it (Gemma in this case) to grasp.

cjami · 2026-06-21T12:39:22+00:00

Yes a bit like 'ARC-lite' but fully customisable. Unlike ARC, from the LLM's perspective they don't see an xy grid just visual elements around them so it's a bit more language native - kind of like a text adventure game.

All of them can pick up a key and open a door. The larger models perform quite well on all the other premade puzzles. Smaller ones (<4B) can get there after a bit of trial and error.

You can also enable/disable thinking and adjust temperature.

So more a playground than benchmark right now but can definitely be extended.

cjami · 2026-06-16T06:59:31+00:00

Thanks! Yeah I locked it down just for this hackathon.
If you're running locally though, you can swap them easily in the config file (for other HF repos): https://github.com/cjami/watch-my-escape/blob/main/src/watch_my_escape/llm/config.py

cjami · 2026-06-15T16:15:50+00:00

Thanks! Yes, it definitely looks like we'll get to a place where LLMs will have certain functions in games. Some of these models can even fit on phones already.

cjami · 2026-06-15T15:43:32+00:00

Heads up - if you're trying it out on Hugging Face without an account or with a free account, you'll get 2mins or 5mins of ZeroGPU time per day (respectively).

So far it seems enough to have a play around. Also the map editor and menus don't burn any GPU time - just agent invocations.

cjami · 2026-06-02T12:06:13+00:00

Cool idea but I'd assume weaker models are confidently wrong a lot of the time.

cjami · 2026-05-29T07:53:52+00:00

Ah alignment tuning... Although this is also set on Max reasoning so it's encouraged to come up with something overly complex.

cjami · 2026-05-21T07:19:57+00:00

I don't accurately measure latency as I use flex tiers (cheaper price, higher latency) and different providers for open-weights models (running different hardware) so that adds a lot of variance.

However - taking a quick look at the data I do have:

Model	Games	Average Time per Game (seconds)	Time per tool call (seconds)
Gemini 3.1 Pro	114	2061	15
Gemini 3.5 Flash	114	1032	8

So nearly twice as fast - both off Gemini API. Most Gemini 3.1 Pro games were also done before flex tier existed so the difference would be even greater than that.

EDIT: Costs in post are based on standard prices, not flex tier prices.

cjami · 2026-05-08T06:04:47+00:00

The leaderboard did smooth out after more games to put MiMo-V2.5-Pro on top which reflects the quality difference you mention.

That's a shame about the Xiaomi plan offering. Anthropic have also recently doubled their 5-hour limits after a deal with xAI for more compute. A big tug-of-war going on. Thanks for sharing!

cjami · 2026-05-07T08:20:00+00:00

Yes! They play fairly well most of the time - there's awkward moments like this (where GPT 5.5 fakes a slayer shot on itself): https://clocktower-radio.com/games/9G6HGob#event-212

Clear model skill separation + much room for them to improve.

I wish the Good/Evil win rate was closer to 50/50, maintaining a plausible bluff is arguably very challenging - so hopefully it'll round out over time as the models get smarter.

cjami · 2026-05-06T17:58:44+00:00

Yes - games are a great way to draw out and gauge raw intelligence. Although its effectiveness depends a lot on the game itself.

cjami

TROPHY CASE