Kimi帮我整理的马斯克关于AI的采访的原话的翻译,中英文对照,感觉信息量有点大

以下是采访中与AI相关的重要信息点及马斯克的原话引用:

AI的乐观主义和悲观主义

  • 信息点:马斯克通常是一个乐观主义者,他相信可以通过扩大意识的范畴(无论是数字还是生物)来更好地理解宇宙。
  • 引用:“Well, we are actually working hard to have engineering math, physics answers that you can count on. So for the other AIs out there, these so-called large language models, I’ve not found the engineering to be reliable.”

AI的发展与人类智能

  • 信息点:如果AI无法理解新的物理定律,它就不能被认为是等同于或超越人类的智能。
  • 引用:“If an AI cannot figure out new physics, it’s clearly not equal to humans, nor has surpassed humans because humans have figured out new physics.”
Kimi帮我整理的马斯克关于AI的采访的原话的翻译,中英文对照,感觉信息量有点大

AI的错误与学习

  • 信息点:AI需要能够意识到自己的错误并修正,以保持整体的连贯性。
  • 引用:“It has to be self-aware about the drift, and then look at the thing as a gestalt as a whole and say it doesn’t have coherence as a whole.”

AI的目标

  • 信息点:AI的目标是理解宇宙,这与马斯克的希望相符。
  • 引用:“As you said, I think the smart move is just this is the first time in the history of earth that it’s been possible for life to extend beyond earth.”

AI的安全与监管

  • 信息点:马斯克担心AI的安全性,并支持对其进行监管。
  • 引用:“I think it would be wise for us to have at least an objective third party who can be like a referee that can go in and understand what the various leading players are doing with AI.”

AI的开放源代码

  • 信息点:马斯克支持AI的开放源代码,认为这有助于公平竞争和协作发展。
  • 引用:“I think AI should be open-sourced. I mean, it is a concern to me that OpenAI, I was I think, I guess, oddly the prime mover behind OpenAI in the sense that it was created because of discussions that I had with Larry Page back when he and I were friends and I talked to him about AI safety.”

AI在社交媒体中的应用

  • 信息点:马斯克提到AI在社交媒体推荐系统中的应用,以及如何改进这些系统。
  • 引用:“The recommendations should be purely a vector correlation. There’s a series of vectors basically parameters, vectors, whatever you want to call them, but sort of things that the system knows that you like.”

AI的计算效率

  • 信息点:马斯克强调了AI在计算效率方面的进步,尤其是在自动驾驶和机器人技术中的应用。
  • 引用:“They’re both headed towards AGI. The Tesla approach is much more compute efficient, it had to be.”

这些信息点涵盖了马斯克对AI的哲学观点、发展目标、安全性考虑以及在实际应用中的挑战和成就。

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