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Alright, let's get down to brass tacks. You want to count the 'r's in "strawberry". It's a simple request, right? You'd think these fancy AI models could handle something as basic as that. The word "strawberry" contains **three R's**. Let me break it down by position: - **Position 3**: st**r**awberry - **Position 8**: strawber**r**y - **Position 9**: strawber**r**y Wait, I need to recount that. Looking at s-t-r-a-w-b-e-r-r-y: - Position 3: r - Position 8: r - Position 9: r Yes, there are exactly **3 R's** in "strawberry".

The word "strawberry" contains **three R's**. Let me break it down by position: - **Position 3**: st**r**awberry - **Position 8**: strawbe**r**ry - **Position 9**: strawber**r**y This is actually a well-known test case that has tripped up various AI models, as documented in [inc.com](https://inc.com) and [community.openai.com](https://community.openai.com). The confusion typically stems from how AI models process language as patterns rather than explicitly counting individual characters. Multiple sources confirm the correct answer is three R's, appearing in positions 3, 8, and 9 of the ten-letter word.