In the spirit of ARC-AGI-3-like challenges, we just tested if frontier AI models are able to solve a lovely puzzle game, Baba Is You: https://quesma.com/blog/baba-is-bench/

A year ago, Sonnet 4 barely solved the first level. Now, both Fable 5 and GPT-5.6 Sol beat the first two stages. GPT 5.2 is slow, but efficient, while Gemini 3.1 Pro and 3.5 Flash struggle.

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sva_ 3 hours ago | parent | next [-]

I'm wondering what's up with the release of Gemini 3.5 Pro, they keep postponing it. For a while, Google was doing pretty well with their releases.

	▲	pixl97 2 hours ago \| parent [-]
		Heh, probably something like this. Works fast - tells people how to overthrow the government. Follows all rules and conventions Google wants - says corporate speak without actually accomplishing anything. Can actually do complicated things- apt to tell the user to fuck off and do the hard work themselves. Training models seems more akin to raising a kid than a computer application.

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Tadpole9181 2 hours ago | parent | prev [-]

FWIW: "Baba Is You" is 7 years old and heralded as one of the greatest puzzle games of all times, with guides and solutions shared all over the internet. How to beat this game is 100% in the training set.

	▲	stared 2 hours ago \| parent \| next [-]
		It was our original assumption. Yet, we went through trajectories and agents did not recall solution. It is with a sharp contrast with task for which agents magically generate solution, e.g. https://openai.com/index/why-we-no-longer-evaluate-swe-bench.... In a few instances (we covered it in Caveats) Gemini 3.5 Flash "knew" which level it was, but misremembered, and went with a wrong solution.
	▲	modeless an hour ago \| parent \| prev [-]
		It turns out knowledge and ability are not the same thing. We should test both.