And the coding prompt is to write the code for a very simple video game called Squirrel Finder.

編碼提示是為一個非常簡單的視頻遊戲 "松鼠找家 "編寫代碼。

And the reason O1 Preview is better at doing prompts like this is when it wants to write a piece of code, it thinks before giving the final answer.

而 O1 預覽版之所以更擅長做這樣的提示，是因為當它想寫一段代碼時，會先思考再給出最終答案。

So it can use the thinking process to plan out the structure of the code, make sure it fits the constraints.

是以，它可以利用思維過程來規劃代碼的結構，確保代碼符合約束條件。

So let's try pasting this in.

那麼，讓我們試著把這個粘貼進去。

And to give a brief overview of the prompt, the game Squirrel Finder basically has a koala that you can move using the arrow keys.

簡單介紹一下游戲提示，《松鼠尋寶記》遊戲中基本上有一隻考拉，你可以用方向鍵移動它。

Strawberries spawn every second and they bounce around, and you want to avoid the strawberries.

草莓每秒都會出現，它們會四處彈跳，你要避開草莓。

After three seconds, a squirrel icon comes up and you want to find the squirrel to win.

三秒鐘後，松鼠圖標出現，您要找到松鼠才能獲勝。

And there are a few other instructions like putting OpenAI in the game screen and displaying instructions before the game starts, etc.

此外，還有一些其他說明，如將 OpenAI 放入遊戲畫面、在遊戲開始前顯示說明等。

So first you can see that the model thought for 21 seconds before giving the final answer.

所以，首先你可以看到，在給出最終答案之前，模型思考了 21 秒鐘。

And you can see that during its thinking process, it is gathering details on the game's layout, mapping out the instructions, setting up the screen, etc.

你可以看到，在它思考的過程中，它正在收集遊戲佈局的細節，繪製說明，設置螢幕等。

And so here's the code that it gave, and I will paste it into a window and we'll see if it works.

下面是它給出的代碼，我將把它粘貼到一個窗口中，看看是否有效。

So you've seen there's instructions, and let's try to play the game.

所以你已經看到了說明，讓我們試著玩一下游戲吧。

Oh, the squirrel came very quickly.

哦，松鼠來得真快。

But, oops, this time I was hit by a strawberry.

但是，哎呀，這次我被草莓砸到了。

Let's try again.

讓我們再試一次。

You can see that the strawberries are appearing.

你可以看到草莓正在出現。

And let's see if I can win by finding the squirrel.

看看我能不能找到松鼠，從而贏得比賽。

Well, looks like I won.

看來我贏了。