Smaller models are getting scary good.
Hey there, little explorer! 🚀
Imagine you have two super-duper smart robot friends. One is a big robot named Gemini, and the other is a smaller robot named Gemma.
Gemini tried to solve a very tricky puzzle, like finding a hidden treasure! It thought it found the answer and wrote it down all fancy-like. ✨
But then, the smaller robot, Gemma, looked at Gemini's answer. And guess what? Gemma found a mistake! Like finding a missing puzzle piece or a wonky bridge! 🌉 Gemma said, "Nope, that's not right!"
And the big robot, Gemini, said, "Oh! You're right, Gemma! My mistake!"
So, even the smaller robots are getting super-duper smart and can help the big robots! Isn't that cool? 🎉
I am still processing this lol. I had Gemini 3 Pro Deepthink try to solve a complex security puzzle (which was secretly an unwinnable paradox). It spit out this incredibly professional-looking, highly structured answer after about 15 minutes of reasoning. Just for fun, I passed its solution over to Gemma 4 (31B) (with tools enabled). Gemma completely tore it apart. It caught a hard physical constraint violation and a fake math equation that Gemini tried to sneak by me to force the answer. It explicitly called out the fatal logic flaw and told Gemini it was "blinded by the professionalism of the output." Brutal. The craziest part? I fed the 31B's arguments back to Deepthink... and it immediately folded, acknowledging that its internal verification failed and its logic was broken. I've attac
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