Before 2012, training an AI model to high degree accuracy could take days, now it can be achieved in only a few minutes. This trend of accelerating AI computing has been projected to continue according to report put together by Stanford University in partnership with Google, OpenAI, PwC, Mckinsey & Company, Genpact and AI21 Labs.
If I am to summarize the implication of this report in simple language, it means we haven’t touched the true power of AI yet, and we shouldn’t be too quick to throw away the possibilities of AGI happening within the next few decades.
Moore’s law will continue, yes, but AI will say to Moore’s law, “you are too slow for me, clear road!”
AI development will continue to jump in real leaps within the coming years, and who knows, maybe even pessimistic AI researchers may soon be forced to consider the possibility of AGI development.
Here is a profound excerpt I found on the issue from OpenAI’s report on the research; “Improvements in compute have been a key component of AI progress, so as long as this trend continues, it’s worth preparing for the implications of systems far outside today’s capabilities – OpenAI
I would be happy to hear your thought on this issue, but please, make sure your commentary is objective (this is not an AI takeover the world post).
Moore’s Law – Moore’s law has been in existence since the 1960s, the law provides a guide for how the speed of computing doubles every 18months or 2 years. It is this law that makes it possible for newer and powerful phones (Iphone11, Samsung S20 etc) or computers to be launched every year.
AGI – AGI stands for Artificial General Intelligence, it is the point where machine intelligence becomes so effective that it can do almost everything a human can do or even better in some cases.
#2020s & The Future Beyond.