I asked AI for help with DIY. It told me to build a subfloor on rotting stumps, but also taught...
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#1
A writer from The Guardian has shared his experience of using artificial intelligence for DIY home repairs.
一位來自《衛報》的作家分享了他使用人工智慧進行 DIY 居家維修的經驗。
#2
He was asked by his workplace to explore practical uses for AI technology.
他的公司要求他探索人工智慧技術的實際用途。
#3
At the same time, he and his partner had purchased an old house that needed many repairs.
與此同時，他和他的伴侶買下了一棟需要多處維修的老房子。
#4
He decided to use ChatGPT as his guide for the renovation work.
他決定使用 ChatGPT 作為他裝修工作的指南。
#5
The writer admitted that he has never been good at practical work.
這位作者承認他一直以來都不擅長實作工作。
#6
He comes from a family of skilled tradespeople and renovators, but those skills were not passed on to him.
他出身於一個由熟練技工和裝修工組成的家庭，但那些技能並沒有傳承給他。
#7
Because he knew about his own limitations, he hoped that AI could fill the gap.
因為他了解自己的局限性，他希望人工智慧能填補這個空缺。
#8
He treated the chatbot like a search engine and asked it detailed questions about home repairs.
他把聊天機器人當作搜尋引擎對待，並詢問它關於房屋維修的詳細問題。
#9
However, the AI gave some dangerous advice.
然而，這個人工智慧給出了一些危險的建議。
#10
In one case, it suggested building a subfloor on top of rotting wooden stumps.
在其中一個案例中，它建議在腐爛的木樁上建造底層地板。
#11
This could have caused serious structural problems for the house.
這原本可能會對這棟房子造成嚴重的結構性問題。
#12
The writer compared AI to the worst member of a team, because it does the minimum amount of work.
作者將 AI 比作團隊中最差的成員，因為它只做最少的工作量。
#13
He also found that it sometimes invents false information instead of checking facts.
他也發現它有時會編造虛假資訊，而不是核實事實。
#14
Despite these problems, the writer said the experience taught him valuable lessons about decision-making.
儘管存在這些問題，作者表示這次經驗教會了他關於決策的寶貴教訓。
#15
He explained that nothing boosts your confidence more than realising you can make a better decision than a machine.
他解釋說，沒有什麼比意識到你能做出比機器更好的決定更能增強你的信心了。
#16
The AI was useful for generating ideas and providing general information.
人工智慧在激發創意和提供一般資訊方面很有用。
#17
However, human judgement was still needed to evaluate the quality of its suggestions.
然而，仍然需要人類的判斷來評估其建議的品質。
#18
The story highlights a growing concern about the limitations of AI tools.
這個故事凸顯了人們對人工智慧工具局限性日益增長的擔憂。
#19
While artificial intelligence has been used in many industries, this case shows that users should not trust it completely.
雖然人工智慧已被應用於許多行業，但這個案例顯示使用者不應完全信任它。
#20
Experts have warned that AI can produce confident-sounding answers which are actually incorrect.
專家警告說，人工智慧可能會產生聽起來很有自信但實際上卻是不正確的答案。
#21
For tasks like DIY, where safety is important, human expertise remains essential.
對於像 DIY 這樣安全至上的任務，人類的專業知識仍然至關重要。