预测事情会如何恶化很容易
预测事情会如何恶化很容易
更难猜测生活可能如何改善
Naval: 很多关于为什么我们即将创造通用人工智能的理论,都是基于对计算能力的天真推断。
这几乎是对越来越强计算能力的归纳推理。他们说:“人工智能已经在视觉、下棋和电子游戏方面超越了人类;因此,它很快就要开始思考了。”
另一个分支观点是,人类正在耗尽地球的所有资源,所以地球上人口越多越糟糕。
但如果你相信知识来自创造力,那么明天出生的任何一个孩子都可能是下一个爱因斯坦或费曼。他们可以通过具有非线性产出和影响的创造力,发现一些将永远改变世界的东西。
Brett: 目前我们非常关注污染和某些物种的消失,对某些人来说这些都是合理的担忧。但这绝不应以牺牲长远愿景为代价——如果我们能通过利用现有资源以更快的速度进步,我们就能解决所有这些问题,甚至更多。
Naval: 为什么世界上似乎总是悲观主义者比乐观主义者多,尤其是当我们仍然主要生活在启蒙时代的价值观和如此巨大的创新之中时?
可能有多重原因。做悲观主义者比做乐观主义者更容易。很难猜测生活会如何改善;但预测它会如何恶化却很容易。
你也可以争辩说,毁灭的风险太大了——一旦发生就无法挽回——所以我们天生就是悲观主义者。
如果你作为乐观主义者是正确的,那么你会获得少量收益。但如果你在乐观时判断错误,被老虎吃掉了,那就一切都归零了。
It’s Easy to Extrapolate How Things Will Get Worse
It’s harder to guess how life might improve
Naval: A lot of the theories as to why we’re imminently going to create an AGI are based in a naïve extrapolation of computational power.
It’s almost an induction of more and more computational power. They say, “AI has already gotten good at vision and beating humans at chess and at video games; therefore, it’s going to start thinking soon.”
Another offshoot is this idea that humans are eating up all the Earth’s resources, so having more humans on Earth is a bad idea.
But if you believe that knowledge comes through creativity, then any child born tomorrow could be the next Einstein or Feynman. They could discover something that will change the world forever with creativity that has nonlinear outputs and effects.
Brett: At the moment we’re very concerned about the pollution and the loss of certain species, and these are legitimate concerns for some people. But it should never be at the expense of the long-term vision that we can solve all of those problems—and far more—if we could progress at a faster rate by using the resources that we have available to us.
Naval: Why does the world always seem to be full of more pessimists than optimists, especially when we still live with mostly Enlightenment Era values and such tremendous innovation?
There are probably multiple reasons for that. It’s easier to be a pessimist than an optimist. It’s hard to guess how life is going to improve; it’s easier to extrapolate how it’s going to get worse.
You could also argue that the risk of ruin is so large—you can’t come back from it—that we’re hardwired to be pessimists.
If you’re correct as an optimist, then you have a small gain. But if you’re wrong when you’re optimistic and you get eaten by a tiger, then it goes to zero.