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Re:Kimi K2 Thinking, a SOTA open-source trillion-parameter r... by aqme28 on Thursday November 06, 2025 @02:57PM (#45839605)
Only until they start incorporating this test into their training data.
Re:Kimi K2 Thinking, a SOTA open-source trillion-parameter r... by orbital-decay on Thursday November 06, 2025 @05:32PM (#45841328)
Dataset contamination alone won't get them good-looking SVG pelicans on bicycles though, they'll have to either cheat this particular question specifically or train it to make vector illustrations in general. At which point it can be easily swapped for another problem that wasn't in the data.
Re:Kimi K2 Thinking, a SOTA open-source trillion-parameter r... by jug on Thursday November 06, 2025 @07:07PM (#45842158)
I like this one as an alternative, also requiring using a special representation to achieve a visual result: https://voxelbench.ai

What's more, this doesn't benchmark a singular prompt.

Re:Kimi K2 Thinking, a SOTA open-source trillion-parameter r... by nwienert on Thursday November 06, 2025 @08:21PM (#45842613)
they can have some cheap workers make about 10 pelicans by hand in svg, fuzz them to generate thousands of variations and throw it in their training pool. don't need to 'get good at svgs' by any means.