分享幾個發瘋學習法，離譜但有用！

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生詞卡

Anyone seduced by A.I.-powered chatbots like ChatGPT and Bard — wow, they can write essays and recipes! — eventually runs into what are known as hallucinations, the tendency for artificial intelligence to fabricate information.

凡是被ChatGPT和Bard等人工智能聊天機器人吸引的人會覺得，哇，它們還能寫文章和食譜！但最終都會遭遇所謂的幻滅，他們會發現人工智能有捏造信息的傾向。

The chatbots, which guess what to say based on information obtained from all over the internet, can’t help but get things wrong. And when they fail — by publishing a cake recipe with wildly inaccurate flour measurements, for instance — it can be a real buzzkill.

聊天機器人會根據從互聯網上獲取的信息猜測該說什麼，但難免出錯。當它們失敗時——比如發佈一份麪粉用量非常不準確的蛋糕食譜——就會讓人掃興。

Yet as mainstream tech tools continue to integrate A.I., it’s crucial to get a handle on how to use it to serve us. After testing dozens of A.I. products over the last two months, I concluded that most of us are using the technology in a suboptimal way, largely because the tech companies gave us poor directions.

然而，隨着主流技術工具繼續整合人工智能，掌握如何利用它爲我們服務是至關重要的。在過去兩個月裏，我測試了數十種人工智能產品，我得出的結論是，我們大多數人都在以一種不理想的方式使用這項技術，主要是因爲科技公司給我們提供的指導不夠好。

The chatbots are the least beneficial when we ask them questions and then hope whatever answers they come up with on their own are true, which is how they were designed to be used. But when directed to use information from trusted sources, such as credible websites and research papers, A.I. can carry out helpful tasks with a high degree of accuracy.

我們向聊天機器人提問，然後希望它們給出正確答案——這就是它們被設計用來使用的方式，然而在這種情況下，它們起到的作用最小。但是，如果引導人工智能使用來自可信來源的信息，例如可信的網站和研究論文，人工智能就能以高度準確的方式很好地完成任務。