<br><div align="left">Hey guys, still remember the infamous flash game called "QWOP" from years ago? If not, here is some GIFs to recall</div><br>

>還記得一隻很難的Flash遊戲QWOP嗎？有點印像？來看以下的GIF 來回憶一下！

<center>http://25.media.tumblr.com/tumblr_m2cbmaVfGS1qk9qb8o1_500.gif</center>
<center>[Source 1](http://25.media.tumblr.com/tumblr_m2cbmaVfGS1qk9qb8o1_500.gif)</center>

<hr>

## <center>Or some really awesome cosplay...</center>
> <center>或一些非常棒的cosplay</center>

<center><tr scope="row"><td>https://media.giphy.com/media/1ecijSSplLBSw/giphy.gif</td><td>https://media.giphy.com/media/GecUzBPU9tGik/giphy.gif</td></tr><tr><td><center>[Source 2](https://media.giphy.com/media/1ecijSSplLBSw/giphy.gif)</center></td><td>[Source 3](https://media.giphy.com/media/GecUzBPU9tGik/giphy.gif)</td></tr></center>

<hr>

## <center>Want to go through the struggle again?</center>

><center>想重溫一下當年與鍵盤的激情？按以下連接吧！</center>

<center>[LINK to QWOP Game](http://www.foddy.net/Athletics.html)</center>
<center>Just thought that you might be interested to find out how your finger-reflect is doing.</center>

<hr>

## <center>How far you can go? 5 meters? Not bad.</center>
# <center>But you will never be as good as Deepmind now. Why?</center>

><center>你能走多遠？ 5米？ 不錯。有進步空間！</center>
><center>但是 Deepmind 不打算給你有任何進軍專業的希望！(給人活路好嗎？）</center>


<center>https://media.giphy.com/media/BmTGkPAs7OzDy/giphy.gif</center>

<div align="left">Deepmind, a Google's artificial intelligence company which developed the AI Go player - AlphaGo , has just developed another AI which managed to teach itself to walk, jump and climb without any superintendence. </div><br>

<div align="left">Programmers at Deepmind were incentivized the AI model to go from point A to point B with no prior instructions. The AI was never shown what walking is like. However, the AI learned from trying and failing and finally came up with a way to finish the mission-seems-to-be-impossible task. As you can see from the simulation, it walked awkwardly but it did a good job of going from one point to another even if there is obstacle ahead.</div><br>

> 開發人工智能 AlphaGo 的 Google 子公司 DeepMind，近日公開了另一個有關AI模型的片段。在沒有任何監督下，AI模型自行學習走路，甚至做出跳、爬等動作。特別的是，程式人員只設定了AI模型要到達的地點，但沒有教它們走路等技巧（輸入分析數據）。

>然而，AI從失敗和嘗試當中最終學到了如何完成似乎是不可能完成的任務。從模擬影片中可以看出，儘管它走起來很笨拙，但是即使有障礙，也能從一個點走到另一個點。

### <center>Here is the video</center>

<center>https://www.youtube.com/watch?v=gn4nRCC9TwQ</center>

<hr>

# <center>My take-away from the simulation video</center><br>

It may sound quite silly, but I honestly inspired by this awkwardly walking AI. It shows me that even it seems like a mission impossible, give it a try and learn from failures. (And given enough time of course) You may be surprised by what you have learned.

>儘管聽起來可能很愚蠢，但我真的被這笨拙的AI啟發了。 即使看起來像一個任務是不可能的，試一試從失敗中學習。你可能會驚訝於你所學到的東西。

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希望你喜歡以上資訊。 歡迎給讚和在下面討論你跟QWOP的過去 ：） 謝謝！
你也可以到我個人頁面查看我以前的帖子 
https://steemit.com/@nuagnorab