ZDNET
This AI thing has taken off really fast, hasn't it? It's almost like we mined some crashed alien spacecraft for advanced technology, and this is what we got. I know, I've been watching too much *Stargate*.
But the hyper-speed crossing the chasm effects of generative AI are real. Generative AI, with tools like ChatGPT, hit the world hard in early 2023. All of a sudden, many vendors are incorporating AI features into their products, and our workflow patterns have changed considerably.
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How did this happen so quickly, essentially transforming the entire information technology industry overnight? What made this possible, and why is it moving so quickly?
In this article, I look at ten key factors that contributed to the overwhelmingly rapid advancement of generative AI and its adoption into our technology stacks and workday practices.
As I see it, the rapid rise of AI tools like ChatGPT and their widespread integration came in two main phases. Let's start with Phase I.
Phase I: Fundamental innovations
Researchers have been working with AI for decades. I did one of my thesis projects on AI more than 20 years ago, launched AI products in the 1990s, and have worked with AI languages for as long as I've been coding.
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