AI時代即將很快來臨

openai的ceo在個人網(wǎng)站上發(fā)了一篇文章，鏈接是：Sam個人網(wǎng)站頁，重點如下：

Here is one narrow way to look at human history: after thousands of years of compounding scientific discovery and technological progress, we have figured out how to melt sand, add some impurities, arrange it with astonishing precision at extraordinarily tiny scale into computer chips, run energy through it, and end up with systems capable of creating increasingly capable artificial intelligence.

This may turn out to be the most consequential fact about all of history so far. It is possible that we will have superintelligence in a few thousand days (!); it may take longer, but I’m confident we’ll get there.

How did we get to the doorstep of the next leap in prosperity?

In three words: deep learning worked.

In 15 words: deep learning worked, got predictably better with scale, and we dedicated increasing resources to it.
That’s really it; humanity discovered an algorithm that could really, truly learn any distribution of data (or really, the underlying “rules” that produce any distribution of data). To a shocking degree of precision, the more compute and data available, the better it gets at helping people solve hard problems. I find that no matter how much time I spend thinking about this, I can never really internalize how consequential it is.

AI systems are going to get so good that they help us make better next-generation systems and make scientific progress across the board.

Technology brought us from the Stone Age to the Agricultural Age and then to the Industrial Age. From here, the path to the Intelligence Age is paved with compute, energy, and human will.

總結(jié)：我們發(fā)現(xiàn)了一種算法，能夠?qū)W習任何數(shù)據(jù)的分布，這個算法就是深度學習。AI將變得越來越好，以至于它們能夠幫助我們制造更好的下一代AI。