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Former Tesla Autopilot Head And Ex-OpenAI Researcher Says 'Programming Is Changing So Fast' That He Cannot Think Of Going Back To Coding Without AI

Former Tesla Autopilot Head And Ex-OpenAI Researcher Says 'Programming Is Changing So Fast' That He Cannot Think Of Going Back To Coding Without AI

前特斯拉自動駕駛主管和前OpenAI研究員表示,「編程變化如此之快」,以至於他無法想象沒有人工智能的編碼。
Benzinga ·  23:02

Andrej Karpathy, the former Tesla autopilot head and an ex-OpenAI researcher, has voiced his preference for the rapidly evolving programming landscape assisted by AI, over traditional "unassisted" coding.

前特斯拉自動駕駛主管、前OpenAI研究員Andrej Karpathy表示,他更偏愛受人工智能輔助的快速發展中的編程技術領域,而不是傳統的"未受輔助"編碼。

What Happened: On Friday, Karpathy said on X, "Programming is changing so fast... I'm trying VS Code Cursor + Sonnet 3.5 instead of GitHub Copilot again and I think it's now a net win."

週五,Karpathy在X上表示:"編程變化如此迅速... 我正在嘗試VS Code Cursor + Sonnet 3.5,而不是再次使用GitHub Copilot,我認爲現在是一種淨利。"

He elaborated that his programming work now primarily involves writing English, reviewing and editing generated diffs, and doing a bit of "half-coding."

他進一步闡述說,他現在的編程工作主要包括撰寫英文、審查和編輯生成的差異,並進行了一點"半編碼"。

This process includes writing the initial part of the code, commenting it for the large language model (LLM) to understand the plan, and then cycling through iterations.

該過程包括撰寫代碼的初始部分,爲大型語言模型(LLM)評論以便理解計劃,然後循環進行迭代。

While Karpathy admitted that he is still acclimatizing to all the features of this new programming approach, he stated, "I basically can't imagine going back to 'unassisted' coding at this point, which was the only possibility just ~3 years ago."

儘管Karpathy承認自己仍在適應這種新編程方法的所有特性,他表示:"我基本上無法想象在這一點上回到'未受輔助'編碼,這只是在大約3年前唯一的可能性。"

Programming is changing so fast... I'm trying VS Code Cursor + Sonnet 3.5 instead of GitHub Copilot again and I think it's now a net win. Just empirically, over the last few days most of my "programming" is now writing English (prompting and then reviewing and editing the...

— Andrej Karpathy (@karpathy) August 24, 2024

編程變化如此迅速... 我正在嘗試VS Code Cursor + Sonnet 3.5,而不是再次使用GitHub Copilot,我認爲現在是一種淨利。僅憑經驗,過去幾天裏我的絕大部分"編程"都是撰寫英文(提示,然後審查和編輯...

— Andrej Karpathy (@karpathy) 2024年8月24日

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Why It Matters: Karpathy's comments reflect a broader trend in the tech industry, where AI is increasingly being used to automate coding tasks.

爲什麼重要:Karpathy的評論反映了科技行業的一個更廣泛的趨勢,人工智能越來越多地被用於自動化編碼任務。

Earlier this month, Amazon Web Services CEO, Matt Garman, predicted that AI could soon dominate coding, stating, "It's possible that most developers are not coding" in the near future.

本月早些時候,亞馬遜雲服務CEO Matt Garman預測人工智能很快可能會主導編碼,稱"未來大部分開發人員可能都不需要編碼"。

This prediction seems to be coming true. According to Amazon CEO Andy Jassy, their AI assistant, Amazon Q, has significantly cut down software upgrade times, saving thousands of work hours. The average time to upgrade an application to Java 17 dropped from 50 developer days to just a few hours, thanks to Amazon Q, Jassy revealed.

這一預測似乎正在成真。據亞馬遜CEO Andy Jassy稱,他們的人工智能助手Amazon Q已顯著縮短了軟件升級時間,節省了數千個工作小時。由於Amazon Q的作用,將應用程序升級到Java 17的平均時間從50個開發人員天縮短到幾個小時,Jassy透露。

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請點擊此鏈接查看更多有關Benzinga的消費科技報道。

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Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors.

免責聲明:本內容部分使用人工智能工具生成,並經Benzinga編輯審核發佈。

Photo courtesy: Shutterstock

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