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this post was submitted on 23 Feb 2026
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Qwen3-4B HIVEMIND (abliterated) got it in 2, though it scores a lot higher on PIQA, HellaSwag and Winogrande benchmarks than normal Qwen3-30B. I think the new abliteration methods actually strengthen real world understanding.
https://imgur.com/a/7YZme4i
https://imgur.com/a/25ApzDN
I wonder if an abliterated VL model could do even better? They tend to have the best real world model benchmarks. Perhaps a Qwen3-VL-30B ablit (if such a thing exists) could one shot this.
I'd like to think a lot of these gotcha prompts rely on verbal misunderstanding, rather than failure in world models, but I can't say that for certain.
PS: Saw a pearler of a response to this: Chatgpt recommend "yeah, lift the car and carry it on your back. Make sure to bend your knees" (though I'm guessing someone edited that for the lulz)