人工智能已經迫在眉睫

Automating routine processes with the help of artificial intelligence is extremely ordinary today.

如今，借助人工智能使常規流程自動化非常普遍。

When AI programs started to appear, experts used to say that smart computers and robots will free our time for creative jobs. Finally, people will have more time to research, write articles, code inventive programs, and make art.

當AI程序開始出現時，專家曾經說過，智能計算機和機器人將使我們騰出時間來從事創造性工作。 最后，人們將有更多的時間來研究，撰寫文章，編寫有創意的程序和制作藝術。

“Robots are not going to replace humans, they are going to make their jobs much more humane. Difficult, demeaning, demanding, dangerous, dull — these are the jobs robots will be taking.’’ — Sabine Hauert, Co-founder of Robohub.org

機器人不會取代人類，它們會使工作更加人性化。 困難，卑鄙，苛刻，危險，沉悶-這些是機器人將要從事的工作。''-Robohub.org聯合創始人Sabine Hauert

However, nobody expected bots that can program faster and better than humans to already be around the corner.

但是，沒有人期望能夠比人類更快更好地編程的機器人已經迫在眉睫。

什么是GPT-3？ (What Is GPT-3?)

GPT-3 is an AI-powered application by OpenAI, a research and development company from San Francisco that has already shaken the world with their solutions.

GPT-3是由OpenAI(一家來自舊金山的研發公司)提供的AI驅動的應用程序，該公司的解決方案已經震驚了世界。

In 2017, they built a Dota bot that can beat human players, including the top 99.95th percentile Dota players. The program learned the game from scratch through self-play, which was a huge achievement for AI. The computer was able to make successful decisions in fast-changing, unpredictable conditions.

在2017年，他們開發了一款可以擊敗人類玩家的Dota機器人 ，其中包括排名前99.95的頂級Dota玩家。 該程序通過自學從零開始學習游戲，這對于AI來說是巨大的成就。 計算機能夠在瞬息萬變的不可預測條件下做出成功的決策。

A year later, they trained a human-like robot hand called Dactyl to manipulate objects with unprecedented agility.

一年后，他們訓練了像人一樣的機器人手Dactyl ，以前所未有的敏捷性操縱物體。

Finally, this year everybody is talking about GPT-3. Using this Open AI API, you can provide text input to GPT-3 and receive output. You can use it to generate blog posts, stories, or even develop an application from scratch. Yup! Writing code using GPT-3 is an interesting twist. It’s a powerful tool for working with language, and code is also kind of a language.

最后，今年每個人都在談論GPT-3。 使用此Open AI API，您可以向GPT-3提供文本輸入并接收輸出。 您可以使用它來生成博客文章，故事 ，甚至從頭開始開發應用程序。 對！ 使用GPT-3編寫代碼是一種 有趣的轉折。 它是使用語言的強大工具，代碼也是一種語言。

GPT-3可以做什么 (What GPT-3 Can Do)

Here is what GPT-3 can currently do:

GPT-3目前可以執行以下操作：

• Write short stories, songs, press releases, technical literature. You can read a pretty reasonable article about GPT-3 written by GPT-3 itself.

  撰寫短篇小說，歌曲，新聞稿，技術文獻。 您可以閱讀由GPT-3本身撰寫的關于GPT-3的相當合理的文章 。

• Given just the title and name of a particular writer, it can imitate their style.

  只要給出特定作家的頭銜和名字，它就可以模仿他們的風格 。

• Build web applications and software components in Python, React Native, and other programming languages.
  用Python，React Native和其他編程語言構建Web應用程序和軟件組件。

• Write a website or a landing page using HTML and CSS.

  使用HTML和CSS 編寫網站或登錄頁面 。

GPT-3是否會竊取您的工作？ 這就是你的未來 (Will GPT-3 Steal Your Job? Here’s How Your Future Looks)

Some have already claimed that GPT-3 will be the end of the job market as we know it. Software developers, journalists, and writers are living their last good days, they say.

我們已經知道，有些人已經宣稱GPT-3將終結就業市場 。 他們說，軟件開發人員，新聞工作者和作家正在度過最后的美好時光。

However, the shift to making coding and web development more accessible to a wide range of people happened a long time ago thanks to drag-and-drop tools and all sorts of online app builders. Tools that help to translate and edit texts, such as Google Translate or Grammarly, have also existed for a while now.

但是，由于拖放工具和各種在線應用程序構建器，使編碼和Web開發更容易為廣大人們使用的轉變是很久以前發生的。 幫助翻譯和編輯文本的工具(例如Google Translate或Grammarly)也已經存在了一段時間。

It is true that GPT-3 can generate passable texts on almost any topic, even faring better at that than some humans do. It covers a wide variety of tasks and copes with them better than any other AI software system.

的確，GPT-3幾乎可以在任何主題上生成可傳遞的文本，甚至比某些人做得還好。 它涵蓋了各種各樣的任務，并且比其他任何AI軟件系統都更好地應對這些任務。

Despite looking very impressive, though, experts believe the algorithm is not currently able to fully replace humans.

盡管看起來非常令人印象深刻，但是專家們認為該算法目前無法完全替代人類。

Its outputs are a result of compilation and online research — not true creativity. Often, they lack common sense and “fall apart” if you look at them closely. Even the founder of OpenAI, Sam Altman, admitted that the algorithms still make silly mistakes and are pretty far from real intelligence.

它的輸出是編譯和在線研究的結果，而不是真正的創造力。 通常，如果您仔細觀察它們，它們會缺乏常識并且會“崩潰”。 甚至OpenAI的創始人Sam Altman也承認，算法仍然犯了愚蠢的錯誤， 與真正的智能還差得很遠 。

So don’t worry, GPT-3 isn’t coming for your job any time soon.

因此，請放心，GPT-3不會很快就任職。

翻譯自: https://medium.com/better-programming/creative-computers-are-already-around-the-corner-23e94cdf017b

人工智能已經迫在眉睫

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