I just read this Google research paper that completely broke my brain 😳

So these researchers took regular language models - the same ones everyone says "can't really think" - and tried something dead simple. Instead of asking for quick answers, they just said "hey, show me how you work through this step by step."

That's it. No fancy training. No special algorithms. Just better prompts.

The results? Absolutely insane.

Math problems that stumped these models? Suddenly they're solving them left and right. We're talking 18% accuracy shooting up to 57% on the same exact model. Same brain, different conversation.

But here's where it gets weird. This only worked on the really big models. The smaller ones? They actually got worse. Started rambling nonsense that sounded smart but made zero sense.

Something magical happens around 100 billion parameters though. The model just... starts thinking. Like, actual logical reasoning chains that you can follow. Nobody taught it this. It just emerged.

I've been using ChatGPT and Claude completely wrong this whole time. Instead of wanting instant answers, I should've been asking "walk me through this."

They tested this on everything. Math, common sense questions, logic puzzles. Same pattern everywhere. The models were always capable of this stuff - we just never knew how to ask.

Makes me wonder what else these systems can do that we haven't figured out yet. Like, if reasoning just pops up when you scale things up and ask differently, what happens when someone figures out the right way to prompt for creativity? Or planning? Or solving actually hard problems?

The craziest part is that the models don't even need to be retrained. They already have this ability sitting there, waiting for someone to unlock it with the right conversation.

We've been having the wrong conversations with AI this whole time.

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