改变磁盘格式gpt_改变游戏规则或结束游戏？ 准备好参加GPT-3
改變磁盤格式gpt
If you hang out on the fringes of the Internet you may have seen very smart people losing their minds over something called GPT-3.
如果您徘徊在互聯網的邊緣，您可能已經看到非常聰明的人對所謂的GPT-3失去了理智。
GPT-3 is an artificially intelligent platform that uses information scraped from the Internet to create incredibly human-like conversations, stories, designs and so much more. It’s cool, it’s creepy and it will change the world.
GPT-3是一個人工智能平臺，它使用從Internet抓取的信息來創建令人難以置信的類似于人類的對話，故事，設計等等。 這很酷，令人毛骨悚然，它將改變世界。
Billionaire Chris Sacca is one of those who had his mind blown. Sacca was an early investor in companies like Twitter, Uber and Instagram so he knows a thing or two about game changers. This was his take.
億萬富翁克里斯·薩卡(Chris Sacca)就是其中之一。 薩卡(Sacca)是Twitter，Uber和Instagram等公司的早期投資者，因此他對改變游戲規則的知識只有兩點。 這是他的看法。
“I remember when and where I was when I played Pong the first time. Same for my first Google query. Like those massive leaps forward, I’ll never forget my first time using GPT-3. Every bit of the hype is deserved.”
“我記得我第一次打Pong的時間和地點。 我的第一個Google查詢也是如此。 就像那些巨大的飛躍一樣， 我永遠不會忘記我第一次使用GPT-3 。 炒作應有盡有。”
Now look carefully at what he said next.
現在仔細看他接下來說的話。
“This is not hyperbole or pastebait. I actually think GPT-3 could change everything, and I’m confident we will see massive economic, educational, and scientific shifts within the next 5–10 years as a direct result of this technology.”
“這不是夸張或誘餌。 我實際上認為GPT-3可以改變一切 ，并且我相信，由于這項技術的直接結果，我們將在未來5-10年內看到巨大的經濟，教育和科學變革。”
Actually, Sacca didn’t say that second part. That’s what GPT-3 came up with when Sacca submitted his quote to GPT-3 and prompted it to say more. Could you tell the difference?
實際上，薩卡沒有說第二部分。 這就是Sacca向GPT-3提交報價時促使GPT-3提出的，并促使其多說。 你能說出區別嗎？
Ghandi, meet Genghis
甘地，認識成吉思
For a layman to really appreciate GPT-3 it really helps to skim through the blogs and Twitter feeds of beta-testers (because GPT-3 isn’t available to the public yet) and see for yourself. Here are some examples we found.
對于那些真正喜歡GPT-3的外行來說，它確實有助于瀏覽Beta測試人員的博客和Twitter提要(因為GPT-3尚未向公眾提供)并親自看看。 這是我們發現的一些例子。
One tester asked GPT-3 to create a conversation between Ghandi and Genghis Khan. This is what it said, within seconds:
一位測試人員要求GPT-3在甘地和成吉思汗之間建立對話。 這就是它所說的 ，在幾秒鐘內：
“War is not the answer,” says Ghandi. “The death of one person can not be justified by the fall of another. The cycle must stop.”
“戰爭不是答案，”甘迪說。 “一個人之死不能以另一個人的倒塌為理由。 該循環必須停止。”
“Bah,” says Genghis. “Are you woman? The weak prefer diplomacy to warfare. It is obvious you have never been in a real battle. When the sword taketh away, it giveth even more. You cannot afford to be weak. Only the strong survive.”
“巴哈，”成吉斯說。 “你是女人嗎？ 弱者更喜歡外交而不是戰爭。 很明顯，您從未參加過真正的戰斗。 當劍被拿走時，它會帶來更多。 你承受不起軟弱。 只有強者才能生存。”
And their conversation goes on like this for several paragraphs.
他們的對話持續了好幾段。
Another tester asked GPT-3 to rewrite text from Harry Potter in the style of other writers like Ernest Hemingway, Jane Austen and Arthur Conan Doyle. They’re creepily good.
另一位測試人員要求GPT-3以其他作家(如歐內斯特·海明威，簡·奧斯丁和亞瑟·柯南·道爾)的風格重寫哈利·波特的文字。 他們很棒。
By Ernest Hemingway:
歐內斯特·海明威(Ernest Hemingway)：
“It was a cold day on Privet Drive. A child cried. Harry felt nothing. He was dryer than dust. He had been silent too long. He had not felt love. He had scarcely felt hate. Yet the Dementor’s Kiss killed nothing. Death didn’t leave him less dead than he had been a second before. It wasn’t about living or dying really. It wasn’t about death. It was about the Dark Lord, his creator, his engenderer. He was not resurected. He was created again.”
“在Privet Drive上，天氣很冷。 一個孩子哭了。 哈利什么都沒感覺。 他比灰塵還干。 他沉默了太久了。 他沒有感到愛。 他幾乎沒有仇恨的感覺。 然而，攝魂怪之吻并沒有殺死任何人。 死亡并沒有使他比前一世死亡少。 這與生活或死亡無關。 這與死亡無關。 這是關于黑暗之王，他的創造者，他的創造者。 他沒有復活。 他又被創造了。”
By Jane Austen:
簡·奧斯丁：
“It is a truth universally acknowledged, that a broken Harry is in want of a book. This he knows to his cost; pressing that wretched nose against the window of a bookstore in Diagon Alley the last thing before he goes into hiding for several years, where upon, he goes straight to Azkaban.”
“一個公認的真理是，一個破碎的哈利缺少一本書。 他為此付出了代價。 將那可悲的鼻子按在對角巷一家書店的窗戶上，這是他藏匿數年之前的最后一件事，從那以后，他直奔阿茲卡班。
Email, websites, balance sheets and more
電子郵件，網站，資產負債表等
So how does GPT-3 work? For starters it has analyzed almost a trillion words on the Internet. When it receives a question or request, it looks for patterns in all this data that allow it to make a best guess of what words should follow the question or request. It has no understanding of what these words mean — it’s not intelligent — it’s just really good at matching patterns.
那么GPT-3如何工作？ 首先，它已經分析了互聯網上近一萬億個單詞。 當它收到一個問題或請求時，它將在所有這些數據中尋找模式，以使其能夠最好地猜測在該問題或請求之后應該包含哪些單詞。 它不了解這些詞的含義-它不是智能的-只是非常擅長匹配模式。
And I mean really good. One company is already figuring out how GPT-3 can be used to instantly reply to long and complicated emails while mimicking your style of writing so no one is the wiser. A great example of how this works is here.
我的意思是非常好。 一家公司已經在弄清楚如何使用GPT-3來即時回復冗長而復雜的電子郵件，同時模仿您的寫作風格，因此沒有人比這更明智。 這是一個很好的例子。
Another tester decided to see what GPT-3 could do with dense and often incomprehensible legal documents. It could do a lot, it turns out. With just a couple examples to train on, GPT-3 started turning legalese into very clear and concise language.
另一位測試人員決定查看GPT-3如何處理密集且通常難以理解的法律文件。 事實證明， 它可以做很多事情。 僅需訓練幾個示例，GPT-3就開始將法律術語變成非常清晰簡潔的語言。
And there’s so much more. Web designers are noticing that GPT-3 is able to create web pages with just a few simple text instructions. For example, when someone asked GPT-3 to create a page with a search box and a subscribe button that looks like a watermelon, that’s exactly what you get. In seconds.
還有更多。 Web設計人員注意到GPT-3能夠僅用幾個簡單的文本指令創建網頁。 例如，當有人要求GPT-3創建一個帶有搜索框和一個看起來像西瓜的訂閱按鈕的頁面時，這就是您所得到的。 馬上。
Another tester taught GPT-3 to turn simple text instructions into very sharp-looking balance sheets. Instantly. Another configured GPT-3 to scan ingredient labels on food packaging and tell him if the contents were healthy.
另一位測試員教GPT-3將簡單的文本說明變成了非常清晰的資產負債表 。 即刻。 另一人配置了GPT-3，可以掃描食品包裝上的成分標簽，并告訴他內容是否健康。
In bad hands
壞手
There are so many great examples that promise to make our lives easier. But as with any amazing new tool, bad people are going to do bad things.
有許多偉大的例子有望使我們的生活更輕松。 但是，就像使用任何令人驚奇的新工具一樣，壞人也會做壞事。
SEO, for example, might change overnight. Currently, Google search favors long-form content when it calculates its rankings. But if GPT-3 can churn out thousands of long-form stories within seconds, what does that mean for people trying to find the best results for their search?
例如，SEO可能會在一夜之間發生變化。 當前，Google搜索在計算排名時會偏愛長格式的內容。 但是，如果GPT-3可以在幾秒鐘內制作出數千篇長篇故事，那對于試圖尋找最佳搜索結果的人們意味著什么呢？
Disinformation will get worse as GPT-3 can produce very convincing arguments using fake inputs. And how will schools prevent students from using GPT-3 to write their essays? If it can replicate the style of Austen or Hemingway, it’s not going to have a problem with the style of student John Smith in Ms. McCurdle’s grade 11 history class.
由于GPT-3可以使用偽造的輸入產生令人信服的論點，因此虛假信息會變得更糟。 學校將如何防止學生使用GPT-3撰寫論文？ 如果它可以復制奧斯丁或海明威的風格，那么麥考德女士11年級歷史課程的學生約翰·史密斯的風格就不會有問題。
The ramifications here are quite frightening.
這里的后果非常可怕。
It’s not perfect
這不是完美的
But before any writers, teachers, content creators and web designers are overcome with despair and decide to jump off a cliff, relax, the beta-testers are also finding that GPT-3 has significant limitations.
但是，在任何作家，老師，內容創建者和網頁設計師陷入絕望并決定跳下懸崖，放松身心之前，Beta測試人員還發現GPT-3具有明顯的局限性。
Sometimes it sounds quite stupid. Consider this example.
有時聽起來很愚蠢。 考慮這個例子 。
Q. Which is heavier, a toaster or a pencil?
問：比較重的是烤面包機還是鉛筆？
A. A pencil is heavier than a toaster.
答：鉛筆比烤面包機重。
A human immediately sees this as nonsense. But GPT-3 got it wrong because it couldn’t find a comparison on the Internet for a toaster and a pencil. Worse, it didn’t skip the question or say it didn’t know.
人類立即將其視為無稽之談。 但是GPT-3弄錯了，因為它在互聯網上找不到烤面包機和鉛筆的比較。 更糟糕的是，它沒有跳過問題或說不知道。
GPT-3 also has problems sustaining long and cohesive narratives. Because it uses one chunk of text to find the next chunk of text that is then used to find another piece of text, it often drifts away from the initial point.
GPT-3在維持冗長而連貫的敘述方面也存在問題。 因為它使用一個文本塊來查找下一個文本塊，然后再使用該文本塊來查找另一個文本，所以它通常會偏離初始點。
Some testers who have spent a lot of time with GPT-3 are also saying they are learning to spot text generated by the AI. It’s not something they can put their finger on. The human brain is just really good at spotting content not written by a human. For now anyway.
一些在GPT-3上花費了很多時間的測試人員還說，他們正在學習發現AI生成的文本。 他們不能指責這件事。 人腦真的很擅長發現非人為書寫的內容。 無論如何現在。
The future
未來
GPT-3 was created by OpenAI, an artificial intelligence lab established by founders including Elon Musk and Sam Altman, to ensure AI will benefit humanity. Some form of GPT-3 is expected to be free or low-cost when it’s finally made available to the public.
GPT-3由OpenAI創建，OpenAI是一個由埃隆·馬斯克(Elon Musk)和薩姆·奧特曼(Sam Altman)等創始人建立的人工智能實驗室，目的是確保AI造福人類。 當某種形式的GPT-3最終向公眾開放時，它將會是免費或低成本的。
When it does launch, many jobs held by humans today will be threatened by GPT-3’s ability to generate an incredible amount of text about almost any subject, as well as it’s prowess with website design and spreadsheets.
當GPT-3推出后，今天人類的許多工作將受到GPT-3生成幾乎有關任何主題的大量文本的能力的威脅，以及其在網站設計和電子表格方面的強大能力。
But some skills will become more important. Let’s look at a few.
但是一些技能將變得更加重要。 讓我們來看一些。
Editing — As we’ve seen, GPT-3 often generates text that is incoherent or just wrong. The ability to sift and shape rough copy into highly polished final drafts will be a valued skill that differentiates the good users of GPT-3 from the bad.
編輯-如我們所見，GPT-3經常生成不連貫或錯誤的文本。 將粗略的副本篩選和成形為高度修飾的最終草案的能力將是一項寶貴的技能，可以區分GPT-3的良好用戶和不良的用戶。
Asking the right questions — The quality of the information you get on the Internet today is usually dependent on how you search. For example, if a student is asked to write an essay about lions, they’re not going to get something unique if they ask ‘What is a lion?’ But if the student asks ‘Are there any lions outside of Africa?’ they will get material about a small population of Asiatic lions still hanging on in the Gir forest of India. The ability to ask a great question will be much more important than knowing the answer because GPT-3 will usually have that answer.
提出正確的問題 -您今天在Internet上獲得的信息的質量通常取決于您的搜索方式。 例如，如果要求學生寫一篇有關獅子的文章，那么如果他們問“什么是獅子？ “但是如果學生問'非洲以外有獅子嗎？' 他們將獲得有關仍掛在印度吉爾森林中的一小撮亞洲獅的資料。 提出問題的能力比知道答案重要得多，因為GPT-3通常會獲得答案。
Creating new information — GPT-3 cannot create new information. It only recreates information it finds on the Internet. So original content like interviews and surveys become more valuable, as does new ways of comparing information. For example, we saw GPT-3 stumble when asked to compare a toaster with a pencil because this comparison hadn’t been made on the Internet before.
創建新信息 -GPT-3無法創建新信息。 它只會重新創建在Internet上找到的信息。 因此，諸如訪談和調查之類的原始內容以及比較信息的新方法也變得更加有價值。 例如，當我們要求將烤面包機和鉛筆進行比較時，我們看到GPT-3迷迷糊糊，因為以前沒有在Internet上進行過這種比較。
Authenticity. This is already gaining importance in a world flooded with information. People want to connect with other people and brands in ways that feel authentic and intimate. While GPT-3 will do a much better job at faking this authenticity, it’s likely that consumers and people in general will just become hungrier for the real thing, and that’s something only a real person can do.
真實性 。 在這個充滿信息的世界中，這已經變得越來越重要。 人們希望以真實可信的方式與其他人和品牌建立聯系。 雖然GPT-3在偽造這種真實性方面會做得更好，但消費者和普通大眾可能只會對真品產生渴望，而這只是一個真人可以做的事情。
As GPT-3 continues to be tested there will be new discoveries — and new concerns. Some will be amazing and some will be frightening. But it’s really just the beginning.
隨著GPT-3的繼續測試，將會有新發現和新問題。 有些會令人驚嘆，有些會令人恐懼。 但這僅僅是個開始。
While GPT-3 uses 175 billion parameters to generate answers it finds on the Internet, people are already talking about new versions using over 1 trillion parameters.
盡管GPT-3使用1750億個參數來生成它在Internet上找到的答案，但人們已經在談論使用超過1萬億個參數的新版本 。
And when that time comes we won’t be laughing at its mistakes with toasters and pencils. It just might be laughing at us.
當那個時候到來時，我們不會因為烤面包機和鉛筆而笑它的錯誤。 它可能只是在嘲笑我們。
翻譯自: https://medium.com/descripter/game-changer-or-game-over-get-ready-for-gpt-3-3b67f39ee643
改變磁盤格式gpt
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